Let Lbearelationalstructure.Wesaythat Lisfinitelytypedifandonly
写作 Chapter Two
---------------------------------------------------------------最新资料推荐------------------------------------------------------写作Chapter TwoPart II Building Good Sentence Chapter Two Essential Qualities of Sentences1/ 109Understanding Sentence Section 1 The Uses of SentencesSection 2 Some Basic Qualities of Sentences 1 Sentence Clarity2 Sentence Unity 3 Sentence Coherence4 Sentence Emphasis 5 Sentence Euphony 6 Sentence Strength---------------------------------------------------------------最新资料推荐------------------------------------------------------ Understanding SentenceThe Sentencethe first complete organic product of thinking the unit of style a group of words capable of expressing a complete thought3/ 109Understanding SentenceTypes of Sentences According to GrammarAs to Meaning▲ Declarative Sentence ▲ Interrogative Sentence ▲ Imperative Sentence ▲ Exclamatory Sentence---------------------------------------------------------------最新资料推荐------------------------------------------------------ Understanding SentenceAs to Form▲ Simple sentence ▲ Complex Sentence ▲ Compound Sentence According to Rhetoric As to the Arrangement of Se ntences ▼ Periodic Sentence ▼ Loose Sentence ▼ Balanced Sentence5/ 109Understanding SentenceAs to the Structure of Sentence▼ The Simplest Form▼ The Modified and Enlarged Form→Complex, Compound and Complex Forms ▼ Elliptical Structure▼ Pleonastic Structure→one o f the main elements is clearness repeated for special distinction---------------------------------------------------------------最新资料推荐------------------------------------------------------ Understanding SentenceJoys and sorrows, friends and enemies, abundance and poverty—these are the things that absorb human thoughts. → for the sake of increasing clarityA teacher’s duty it is to impart knowledge and educate students. → emphatic repetition7/ 109The Uses of SentencesSection 1 The Uses of Sentences Simple Sentence→only one clause→good for clearness and directnessCompound Sentence→two or more statements of equal importance→to show cont rast, inference, alternative---------------------------------------------------------------最新资料推荐------------------------------------------------------ The Uses of SentencesComplex Sentence→one Principal clause with one or more Subordinate clauses→to show the relative importance, to mark the precise relation of one idea to other ideasCompound-Complex Sentence→two or more indep endent members, at least one of which contains a dependent clause→good for a show of eloquencePeriodic Sentence→no complete thought can be got until the end is reached→good for promoting suspense, unity of expression9/ 109The Uses of SentencesLoose Sentence→not delay its parts by suspense, complete sense can be secured before the end→good for informal ease, naturalnessBalanced Sentence→the parts are paired, made to balance over against each other→good for making the expression pointed, easily remembered---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClaritySection 2 Some Basic Qualities of Sentences 1 Sentence Clarity the arrangement of words should be such that the meaning cannot be misundrstood→secured by correct diction, accurate punctuation (1) Correct Diction1) Position of Adverbs※ As near as possible to the words they modify ※ Sometimes before, sometimes after→ before the adjectives or adverbs (except the word “enough”) → after the intransitive verbs11/ 109Sentence Clarity2) Position of Modifiers in General As near as possible to word or words they modifyHe went to town, on horseback, driving a flock of sheep.He went to town, driving a flock of sheep, on horseback.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity3) Watching for Squinting Construction ◎ A sentence in which the adverb appears to modify two different elementsTell them tomorrow to begin the work.13/ 109Sentence Clarity◎ A squinting modifier is one that may refer to either the preceding or the following word. A modifier can modify only one grammatical element in sentence. It cannot serve two elements at once.The work that he hoped would satisfy him completely frustrated him.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity4) Use of Pronouns Should be placed where the antecedent can be easily identified.Pronoun Reference ErrorsA. Divided Reference →occurs when it is not clear to which of two nouns the pronoun is referringDivided reference: Before Ruth gave the dog its dinner, she washed it. Clear reference: Before Ruth gave the dog its dinner, she washed her pet.15/ 109Sentence ClarityB. Broad Reference →occurs when a pronoun refers to a verb or to an adjective or adverb clause Broad reference: If the Russians rejected communism, it would upset the balance of world power. Clear reference: If the Russians rejected communism, such an action would upset the balance of world power.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityC. Weak Reference →occurs when a pronoun refers to an implied, or understood antecedentWeak reference: Daily practice is necessary in ballet training; in fact, they are often as highly trained as athletes.Clear reference: Daily practice is necessary in ballet training; in fact, ballet performers are often as highly trained as athletes.17/ 109Sentence ClarityExercises for Pronoun Reference Rewrite these sentences, correcting them for faulty pronoun reference. (1) Mr. Smith told Mr. Brown that his chickens were in his garden. (Mr. Smith’s)(2) Rice is an important crop in China, and many of them have little else to eat. (the Chinese (people))(3) When we climbed up to the robin’s nest, it flew away. (the bird)---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(4) European dairy cattle can adjust themselves to a wide range of temperature, particularly if this changes gradually. (the adjustment, Or the temperature) (5) Before you give the baby its bottle, shake it well. (the bottle)(6) You had your choice of tooth powder or tooth paste, and you bought it without remembering that I don’t like to use it. (the tooth powder, Or the tooth paste) (7) A few pod diseases damage the beans if they are left to develop. (the diseases)19/ 109Sentence Clarity(8) If a dog should bite any man in that gang of ruffians, he would die. (the dog, Or the man)(9) Only at ninety-nine degrees did the vegetation begin to wilt, and this was not surprising. (the fact)(10) When I saw the advertisement for an electric train in that magazine, I bought it immediately. ( the train, Or the toy, Or the magazine) (11) If an upperclassman is displeased with something a freshman does, he is punished for it. (the former, Or the latter)---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(12) The farmers told his neighbor that his son had stolen his apples and that he ought to be spanked. (his neighbor’s son, the boy)(13) I had planned to become a lawyer, but I have lost my enthusiasm for it. (becoming one, Or the plan) (14) In Mongolia they don’t have many railroad lines. (the people there, Or there are not many …)(15) My roommate taught me how to water ski and scuba dive, and I have become very skilled at it. ( the sports)21/ 109Sentence Clarity5) Consistency A. Sentences consistent in person and numberThe most common faulty shifts in person → shifts from second to third from third to second person---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity→because we can refer to people in general either in the third person or in the second personInconsistent: If a person works hard, you can accomplish a great deal. Revised: If you work hard, you can accomplish a great deal. Revised: If a person works hard, he (or he or she) can accomplish a great deal. Better: If people work hard, they can accomplish a great deal.23/ 109Sentence ClarityInconsistency in number→ between a pronoun and its antecedentInconsistent: If a student does not understand a problem, they should consult the instructor. Revised: If a student does not understand a problem, he (or he or she) should consult the instructor. Better: If students do not understand a problem, they should consult the instructor.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityB. Sentences consistent in tense and mood ◎ Unnecessary shifts from past to present or from present to past in sentences narrating a series of events are particularly confusing. ◎ Shifts in the mood of verbs occur most frequently in directions, because the writer moves between the imperative mood and the indicative mood.Inconsistent: Cook the mixture slowly, and you should stir it until the sugar is dissolved. [shifts from imperative to indicative]Revised: Cook the mixture slowly, and stir it until the sugar is dissolved. [consistently imperative]25/ 109Sentence ClarityC. Sentences consistent in subject and voiceA shift in voice may sometimes help focus the reader’s attention on a single subject.But most shifts in subject and voice not only are unneeded but also may create confusion or error. Inconsistent: As we looked out over the ocean, ships could be seen in the distance. [Since the main clause does not name an actor, the reader cannot be sure who is looking.] Revised: As we looked out over the ocean, we could see ships in the distance.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityExercises for Consistency 1. Revise the sentences below to make them consistent in person and number.(1) If a person has just moved to the city, you have trouble knowing where to go.If a person has just moved to the city, he (or she) has trouble knowing where to go.27/ 109Sentence Clarity(2) When a taxpayer does not file on time, they have to pay a penalty.When taxpayers do not file on time, they have to pay a penalty.Or When a taxpayer does not file on time, he (or she) has to pay a penalty. (3) Writers must know what they are writing about; otherwise one cannot write.Writers must know what they are writing about; otherwise they cannot write.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(4) If a student misses too many classes, you may fail a course.If a student misses too many classes, he (or she) may fail a course. (5) One should not judge other people’s actions unless they know the circumstances. One should not judge other people’s actions unless one knows the circumstances. Or One should not judge other people’s actions unless he (or she) knows the circumstances.29/ 109Sentence Clarity2. Revise the sentences below to make them consistent in tense and mood. (1) Soon after he joined the union, Lester appears at a rally and makes a speech. Soon after he joined the union, Lester appeared at a rally and made a speech.(2) First sand down any paint that is peeling; then you should paint the bare wood with primer. First sand down any paint that is peeling; then paint the bare wood with primer. [This should be an imperative sentence.] Or First you should sand down any paint that is peeling; then you should paint the bare wood with primer.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(3) Rachel is walking down the street, and suddenly she stops, as a shot rang out. Rachel is walking down the street, and suddenly she stops, as a shot rings out. [This is a historical sentence; it expresses vividness.] Or Rachel was walking down the street, and suddenly she stopped, as a shot rang out.31/ 109Sentence Clarity(4) Rudeness occurs when people did not see themselves as others saw them.Rudeness occurred when people did not see themselves as others saw them.Or Rudeness occurs when people do not see themselves as others see them. (5) To buy a tape deck, find out what features you need and you should decide what you want to pay. To buy a tape deck, find out what features you need, and decide what you want to pay. [The phrase you should is crossed out.]---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity3. Make the sentences below consistent in subject and voice. (1) Some arrowheads were dug up, and they found some pottery that was almost undamaged. They dug up some arrowheads, and found some pottery that was almost undamaged.33/ 109Sentence Clarity(2) They started the game after some practice drills were run.They started the game after they ran some practice drills. [better] Or The game was started after some practice drills were run. [OK]---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(3) The tornado ripped off the roof, and it was deposited in a nearby lot. The roof was ripped off by the tornado, and it was deposited in a nearby lot. (4) The debate was begun by the senator when he introduced the new bill. The senator began the debate when he introduced the new bill.35/ 109Sentence Clarity(5) If you learn how to take good notes in class, much extra work will be avoided. If you learn how to take good notes in class, you will avoid much extra work.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity4. Identify each faulty shift in the following paragraph as inconsistent in person, number, tense, mood, subject, voice, or form of quotation. Revise the faulty sentences to eliminate the shifts.37/ 109Sentence ClarityWe One is always urged to conserve energy, and we try to do that. However, saving energy requires making sacrifices. My children like baths, not showers, so how can I tell them that they must keep clean and then insist, “ they should not use the bath? ” They won’t stay You must not use the bath? clean. I don’t mind a cool house, but it has to be kept we have to keep warm when you have the flu. Everyone enjoys a fire in he fails (or they fail the fireplace, but they fail) to realize how much heat from the furnace was released up the chimney. is Nonetheless, we have to learn to live with inconveniences or be introduced to real hardship later on.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity6) Completeness A. Avoid omitting inconsistent constituents from compound constructions Acceptable Omission My car has been driven 80,000 miles; his (has been driven) only 20’000 (miles). Some people heat by oil, some (heat) by gas, others (heat) by electricity.When the words omitted are common39/ 109Sentence ClarityUnacceptable Omission My car has been driven 80,000 miles; their cars have been driven only 20,000 (miles).When the parts omitted or to be omitted differ in grammar or idiomI am firm; you are stubborn; he is pigheaded. The students were invited and were happy to go---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityB. Avoid incomplete and illogical comparisons state the relation between the compared items fully enough to ensure clarity; Complete and logical comparisoncompare only items that can sensibly be compared;must include all and only the items being compared.41/ 109Sentence ClarityTo ensure clarity, state a comparison fully. Unclear: Boston is nearer to New York than Washington. Clear: Boston is nearer to New York than Washington is. Clear: Boston is nearer to New York than it is to Washington.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityTo ensure logic, compare items that can be reasonably compared.Illogical: The cost of a typewriter is greater than a calculator. [The writer compares the cost of something with a calculator.]Revised: The cost of a typewriter is greater than the cost of (or that of) a calculator.43/ 109Sentence ClarityC. Avoid careless omission of articles, prepositions, or other needed words. Incomplete: Regular payroll deductions are a type painless savings. You hardly notice missing amounts, and after period of years the contributions can add a large total. Revised: Regular payroll deductions are a type of painless savings. You hardly notice the missing amounts, and after a period of years the contributions can add up to a large total.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence ClarityIncomplete: She observed many people who had been invited were missing. [At the first reading, many people appears to be the object of observed rather than the subject of the entire subordinate clause.]Revised: She observed that many people who had been invited were missing.45/ 109Sentence ClarityExercises for Completeness Revise the sentences below so that they are complete, logical, and clear. Some have more than one possible answer. (1) Both of them not only believe energy conservation but (also) work for energy conservation. (2) The legal question raised by the prosecution was relevant and was considered by the judge. [The first was is a link verb, whereas the second was is an auxiliary, and should not be left out.]---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(3) Football interested Ralph more than his friends did.Or Football interested Ralph more than it interested his friends.(4) His tip was larger than that of any other customer I ever waited on. (5) With an altitude of 6,288 feet, New Hampshire’s Mount Washington is higher than any other mountain in New England. (6) The dog is only a puppy; the cats are both ten years old.47/ 109Sentence Clarity(7) My chemistry text is more interesting to me than any other social science text is.(8) He feared darkness and feared the drop in temperature would trap the climbers on the mountain. [The first fear means 害怕; the second fear means 担心, so the second should not be omitted.] (9) Inventors usually have an interest and a talent for solving practical problems.---------------------------------------------------------------最新资料推荐------------------------------------------------------ Sentence Clarity(2) Proper Punctuation 1) Placing of Period At the end of every Declarative Sentence and every Imperative Sentence 2) Insertion of Comma and Semicolon Comma: valuable in guiding the reader to a correct and immediate understanding of the sentence structured and the subject matter.Semicolon: help the clearness of a sentence49/ 109Sentence Clarity3) Use of Interrogation PointUsed after every sentence or expression asking a direct questionUsed to point off distinct part of a question。
高级英语(鲁东大学)智慧树知到答案章节测试2023年
绪论单元测试1.The most effective way of English learning is to cram enough vocabulary intoone’s mind.A:错B:对答案:A2.On the linguistic level, traditional English teaching method that focuses ongrammar and word learning is among the factors to blame for the awkwardexpressions of Chinese English majors.A:错B:对答案:B3. Words serve as the vehicle of thoughts, as well as of culture.A:错B:对答案:B4.The texts of Advanced English, which span over half a century, wrap up the()issues of the English-speaking countries.A:economicB:socialC:politicalD:historical答案:ABCD5.Chewing of these texts can help students to be appreciative and creative inEnglish language.A:对B:错答案:A6.Ignoring the culture embedded in classical texts is like leaving a treasuretrove with empty hands.A:对B:错答案:A7.The focus of Advanced English study is, rather than word—grammar—exercise, textual analysis and perctption, appreciation and enriched, logicalwriting.A:错B:对答案:B8.The majority of today’s young Chinese English learners are adept atemploying rhetorical devices in their writing.A:错B:对答案:A9.In the study of Advanced, English, understanding of the text alter from literalto inferential, from information obtaining to analytical.A:错B:对答案:B10.The humanistic spirit of each text in this course inspires us to look at abroader world and think critically.A:错B:对答案:B第一章测试1.Suddenly they see the moment for one of their best anecdotes, but in a flashthe conversation has moved on and the opportunity is lost.A:exciting informationB:short amusing storyC:uninteresting writingD:long tedious talk答案:B2. However intricate the ways in which animals communicate with each other,they do not indulge in anything that deserves the name of conversation.A:complicatedB:simpleC:invalidD:difficult答案:A3.The conversation had swung from Australian convicts of the 19th century tothe English peasants of the 12th century.A:captainB:aggressorC:captorD:criminal答案:D4. Perhaps it is worth trying to speak it, but it should not be laid down as anedict , and made immune to change from below.A:impureB:secureC:odorousD:revival答案:B5. The phrase has always been used a little pejoratively and even facetiously bythe lower classes.A:distastefulB:contemptuousC:SharpD:penetrating答案:B6.The King’s English is a model—a rich and instructive one–but it ought not tobe an ultimatum.A:the general opinion about the character, qualities, etc.B:final statement of conditions to be acceptedC:state of being in demandD:something that provokes or annoys答案:B7.It was an Australian who had given her such a definition of “the King’sEnglish,” which produced some rather tart remarks about what one couldexpect from the descendants of convicts.A:sarcasticB:specialC:differentD:loaded答案:A8.One could have expected that it would be abo then that the phrase would becoined.A:comfortedB:coincidedC:inventedD:happened答案:C9.After five centuries of growth, o1f tussling with the French of the Normansand the Angevins and the Plantagenets and at last absorbing it, theconquered in the end conquered the conqueror.A:make the greatest possible use ofB:raise to a higher gradC:come to a lower level or stateD:have a hard struggle or fight答案:D10.When E. M. Forster writes of “the sinister corridor of our age”, we sit up atthe vividness of the phrase, the force and even terror in the image.A:not pretendedB:happening in the same timeC:giving ordersD:suggesting evil答案:D第二章测试1.Let all our neighbors know that we shall join with them to oppose aggressionor subversion anywhere in the Americas.A:salvageB:successionC:destroyingD:rebuilding答案:C2.Let both sides seek to invoke the wonders of science instead of its terrors.A:take downB:take the form ofC:put upD:call forth答案:D3. For I have sworn before you and Almighty God the same solemn oath ourforebears prescribed nearly a century and three-quarters ago.A:produceB:protectC:order or directD:agree答案:C4.…we offer not a pledge but a request: that both sides begin anew the questfor peace,…A:clean upB:swallow upC:imprint onD:consider答案:B5.Together let us explore the stars, conquer the deserts, eradicate disease, tapthe ocean depths and encourage the arts and commerce.A:cut into many small partsB:put an end to; destroyC:go round in circleD:draw together into a small space答案:B6. We observe today not a victory of party but a celebration of freedom.A:preserveB:orateC:helpD:celebrate答案:D7.…and unwilling to witness or permit the slow undoing of those human rightsto which this nation has always been committed…A:omitB:pledgeC:repeatD:refrain答案:B8.Since this country was founded, each generation of Americans has beensummoned to give testimony to its national loyalty.A:evidenceB:trialC:witnessD:liberation答案:C9.Let both sides, for the first time, formulate serious and precise proposals forthe inspection and control of armsA:expectationB:warm speechC:predictionD:examination答案:D第三章测试1.“Can you mean.” I said incredulously, “that people are actually wearingraccoon coats again?”A:industriousB:increasingC:unbelievingD:unimproved答案:C2.She was not yet of pin-up proportions but I felt sure that time would supplythe lack She already had the makings.A:portionsB:dimensionsC: massagesD:Property答案:B3.I reeled back, overcome with the infamy of it.A:being honestB:being refusedC:being famous forD:being shameful答案:D4.“I’11 never do that again,” she promised contritely.”Are you mad at me?“A:penitentB:honestC:sadD:overjoyed答案:A5.“Right!” I cried exultantly.A:overflowingB:foreigC:exhaustedD:triumphant答案:D6.“…That Walter Pidgeon is so dreamy. I mean he fractures me.”A:disagreeB:repeatC:combineD:break答案:D7.I had long coveted Polly Espy.A:avoidB:surroundC:coverD:desire答案:D8.All right. Let’s try Contradictory Premises.A:Take outB:be contrary toC:be relevant toD:withdraw答案:B9.“Listen,” he said, clutching my arm eagerly,…A:hang looselyB:touch softlyC:hold lightlyD:grasp tightly答案:D10.Raccoon coats are unsanitary. They shed. They smell bad. They weight toomuch. They are unsightly.A:provisionalB:precipitateC:uglyD:invisible答案:C第四章测试1.Naturally, the spirit of carnival and the enthusiasm for high militaryadventure were soon dissipated once the eager young men had received a good taste of twentieth- century warfare.A: bewilderingB:growingC:disappearingD:condensed答案:C2.To them, it was bitter to return to a home town virtually untouched by theconflict.A:regularlyB:strangelyC:unbelievablyD:nearly答案:D3.…memories of the deliciously illicit thrill of the first visit to a speakeasy,…A:saddeningB:forbiddenC:shamefulD:extreme答案:B4.…we had reached an international stature that would forever prevent usfrom retreating behind the artificial walls…A:WeightB:importance and reputationC:obligationD:position答案:B5.…no longer left any room for the code of polite behavior and well-bredmorality fashioned in a quieter and less competitive age.A:createdB:adoptedC:leftD:bequeathed答案:A6.…turned in both Europe and America to the destruction of anobsolescent nineteenth-century society.A:outdatedB:obscureC:remainingD:disastrous答案:A7.Thus in a changing world youth was faced with the challenge of bringing ourmores up to date.A:customsB:lawsC:feelings答案:A8.Prohibition afforded the young the additional opportunity of making theirpleasures illicit.A:ledB:spoiledC: gaveD:destroyed答案:C9.…they were being asked to curb those energies and resume the pose of self-deceiving Victorian innocence.A:take up againB:resortC:forgetD:reconstruct答案:A10.…it “gave” in the form of a complete overthrow of genteel standards ofbehavior.…A:collapsedB:deterioratedC:changedD:provided答案:A第五章测试1.Those ad campaigns celebrating the Big Apple, those T-shirts with a heartdesign proclaiming ―I love New York, are signs, pathetic in their desperation, of how the mighty has fallen.A:pitifulB:passionateC:PossibleD:annoying答案:A2.New York was never a good convention city.A:contentionB:meetingC:consciousnessD:conscience答案:B3.To win in New York is to be uneasy; to lose is to live in jostling proximity tothe frustrated majority.A:closenessB:distanceC:appropriateness答案:A4.Nature constantly yields to man in New York: witness those fragile sidewalktrees gamely struggling against encroaching cement and petrol fumes.A:invadingB:poisonousC:inducingD: encompassing答案:A5. A testing of oneself, a fear of giving in to the most banal and marketable ofone’s talents, still draws many of the young to New York.A:extraordinaryB:boringC:excellentD:ordinary答案:D6.In both these roles it ratifies more than it creates.A:opposesB:critizesC:producesD:approves答案:D7.New York is a wounded city, declining in its amenities.A:agreementsB:equipmentC:gadgetsD:facilities答案:D8.So much of well-to-do America now lives antiseptically in enclaves,tranquil and luxurious, that shut out the world.A:crowedB:transparentC:noisyD:serene答案:D9.To him New York- despite its faults, which her will impatiently concede (―sowhat else is new? — is the spoiler of all other American cities.A:condescendB:contendC:admitD:conceal答案:C10.The place constantly exasperates , at times exhilarates .A:regretsB:annoysC:excitesD:denies答案:B第六章测试1. The Japanese committed heinous crimes upon the Chinese people in the pastcentury. Therefore we have every right to hate them.A:对B:错答案:B2.The negative transference of our mother tongue comes in many respects—word choice, grammar, thinking pattern, weak or lack of cohesion, and so on and so forth.A:对B:错答案:A3.Slippery Slope is when someone argues that a minor action will lead toludicrous consequences.A:错B:对答案:B4.Guard against such statements as“if A, then B, and if B, then C,” and so forth,in case it falls into the category of “slippery slope” as a kind of logical fallacy.A:对B:错答案:A5.The followin logical fallacies are often seen in the English writing of Chinesestudents:A:诉诸权威B:推论滑坡C:仓促结论答案:ABC6.Ask not what your country can do for you, ask what you can do for yourcountryA:错B:对答案:B7.聊天体:实质上是用英语单词拼凑而成的汉语作文,句子不仅缺乏清楚的主题,而且也缺少衔接过渡的手段,句子之间没有连接和印证,读者必须读过之后仔细寻找才能找到句子之间的联系。
Theorem 4.2 and Remark 4.3 are proved.
JOURNAL OF FORMALIZED MATHEMATICSVolume8,Released1996,Published2002Inst.of Computer Science,Univ.of Bia l ystokMeet–Continuous Lattices1Artur Korni l owiczInstitute of MathematicsWarsaw UniversityBia l ystokSummary.The aim of this work is the formalization of Chapter0Section 4of[10].In this paper the definition of meet-continuous lattices is introduced.Theorem4.2and Remark4.3are proved.MML Identifier:WAYBEL_2.WWW:/JFM/Vol8/waybel_2.htmlThe articles[17],[21],[7],[20],[22],[24],[23],[18],[5],[13],[9],[6],[16],[4],[19],[11],[1], [2],[3],[12],[25],[8],[14],and[15]provide the notation and terminology for this paper.1.PreliminariesLet X,Y be non empty sets,let f be a function from X into Y,and let Z be a non empty subset of X.One can verify that f◦Z is non empty.One can verify that every non empty relational structure which is reflexive and connected has g.l.b.’s and l.u.b.’s.Let C be a chain.Observe thatΩC is directed.Let X be a set.One can check that every binary relation on X which is ordering is also reflexive,antisymmetric,and transitive.We now state a number of propositions:(1)Let L be an up-complete semilattice,D be a non empty directed subset of L,andx be an element of L.Then sup{x} D exists in L.(2)Let L be an up-complete sup-semilattice,D be a non empty directed subset of L,and x be an element of L.Then sup{x} D exists in L.(3)For every up-complete sup-semilattice L and for all non empty directed subsets A,B of L holds A≤sup(A B).(4)For every up-complete sup-semilattice L and for all non empty directed subsets A,B of L holds sup(A B)=sup A sup B.(5)Let L be an up-complete semilattice and D be a non empty directed subset of[:L,L:].Then{sup({x} π2(D));x ranges over elements of L:x∈π1(D)}={sup X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}.1This work was partially supported by Office of Naval Research Grant N00014-95-1-1336.1c Association of Mizar Users(6)Let L be a semilattice and D be a non empty directed subset of[:L,L:].Then {X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}=π1(D) π2(D).(7)Let L be an up-complete semilattice and D be a non empty directed sub-set of[:L,L:].Then sup {X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}exists in L.(8)Let L be an up-complete semilattice and D be a non empty directed subsetof[:L,L:].Then sup{sup X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}exists in L.(9)Let L be an up-complete semilattice and D be a non empty directed subset of[:L,L:].Then L{sup X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}≤ L {X;X ranges over nonempty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}.(10)Let L be an up-complete semilattice and D be a non empty directed subset of[:L,L:].Then L{sup X;X ranges over non empty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}= L {X;X ranges over nonempty directed subsets of L: x:element of L(X={x} π2(D)∧x∈π1(D))}.Let S,T be up-complete non empty reflexive relational structures.Note that[:S,T:]is up-complete.We now state four propositions:(11)Let S,T be non empty reflexive antisymmetric relational structures.If[:S,T:]isup-complete,then S is up-complete and T is up-complete.(12)Let L be an up-complete antisymmetric non empty reflexive relational structure andD be a non empty directed subset of[:L,L:].Then sup D= supπ1(D),supπ2(D) .(13)Let S1,S2be relational structures,D be a subset of S1,and f be a map from S1into S2.If f is monotone,then f◦↓D⊆↓(f◦D).(14)Let S1,S2be relational structures,D be a subset of S1,and f be a map from S1into S2.If f is monotone,then f◦↑D⊆↑(f◦D).One can check that every non empty reflexive relational structure which is trivial is also distributive and complemented.Let us note that there exists a lattice which is strict,non empty,and trivial.One can prove the following propositions:(15)Let H be a distributive complete lattice,a be an element of H,and X be afinitesubset of H.Then sup({a} X)=a sup X.(16)Let H be a distributive complete lattice,a be an element of H,and X be afinitesubset of H.Then inf({a} X)=a inf X.(17)Let H be a complete distributive lattice,a be an element of H,and X be afinitesubset of H.Then a preserves sup of X.2.The properties of netsThe scheme ExNet deals with a non empty relational structure A,a prenet B over A,and a unary functor F yielding an element of the carrier of A,and states that:There exists a prenet M over A such that(i)the relational structure of M=the relational structure of B,and(ii)for every element i of the carrier of M holds(the mapping of M)(i)=F((the mapping of B)(i))for all values of the parameters.Next we state three propositions:(18)Let L be a non empty relational structure and N be a prenet over L.If N iseventually-directed,then rng netmap(N,L)is directed.(19)Let L be a non empty reflexive relational structure,D be a non empty directedsubset of L,and n be a function from D into the carrier of L.Then D,(the internal relation of L)|2D,n is a prenet over L.(20)Let L be a non empty reflexive relational structure,D be a non empty directedsubset of L,n be a function from D into the carrier of L,and N be a prenet over L.Suppose n=id D and N= D,(the internal relation of L)|2D,n .Then N is eventually-directed.Let L be a non empty relational structure and let N be a net structure over L.The functor sup N yielding an element of L is defined by:(Def.1)sup N=Sup(the mapping of N).Let L be a non empty relational structure,let J be a set,and let f be a function from J into the carrier of L.The functor FinSups(f)yields a prenet over L and is defined by the condition(Def.2).(Def.2)There exists a function g from Fin J into the carrier of L such that for every element x of Fin J holdsg(x)=sup(f◦x)and FinSups(f)= Fin J,⊆Fin J,g .One can prove the following proposition(21)Let L be a non empty relational structure,J,x be sets,and f be a function fromJ into the carrier of L.Then x is an element of FinSups(f)if and only if x is an element of Fin J.Let L be a complete antisymmetric non empty reflexive relational structure,let J be a set,and let f be a function from J into the carrier of L.Observe that FinSups(f)is monotone.Let L be a non empty relational structure,let x be an element of L,and let N be a non empty net structure over L.The functor x N yields a strict net structure over L and is defined by the conditions(Def.3).(Def.3)(i)The relational structure of x N=the relational structure of N,and (ii)for every element i of the carrier of x N there exists an element y of L such that y=(the mapping of N)(i)and(the mapping of x N)(i)=x y.The following proposition is true(22)Let L be a non empty relational structure,N be a non empty net structure over L,x be an element of L,and y be a set.Then y is an element of N if and only if y is an element of x N.Let L be a non empty relational structure,let x be an element of L,and let N be a non empty net structure over L.Note that x N is non empty.Let L be a non empty relational structure,let x be an element of L,and let N be a prenet over L.One can verify that x N is directed.Next we state several propositions:(23)Let L be a non empty relational structure,x be an element of L,and F be a nonempty net structure over L.Then rng(the mapping of x F)={x} rng(the mapping of F).(24)Let L be a non empty relational structure,J be a set,and f be a functionfrom J into the carrier of L.If for every set x holds sup f◦x exists in L,then rng netmap(FinSups(f),L)⊆finsups(rng f).(25)Let L be a non empty reflexive antisymmetric relational structure,J be a set,and fbe a function from J into the carrier of L.Then rng f⊆rng netmap(FinSups(f),L).(26)Let L be a non empty reflexive antisymmetric relational structure,J be a set,andf be a function from J into the carrier of L.Suppose sup rng f exists in L and suprng netmap(FinSups(f),L)exists in L and for every element x of Fin J holds sup f◦x exists in L.Then Sup(f)=sup FinSups(f).(27)Let L be an antisymmetric transitive relational structure with g.l.b.’s,N be aprenet over L,and x be an element of L.If N is eventually-directed,then x N is eventually-directed.(28)Let L be an up-complete semilattice.Suppose that for every element x of L and forevery non empty directed subset E of L such that x≤sup E holds x≤sup({x} E).Let D be a non empty directed subset of L and x be an element of L.Then x sup D= sup({x} D).(29)Let L be a poset with l.u.b.’s.Suppose that for every directed subset X of L andfor every element x of L holds x sup X=sup({x} X).Let X be a subset of L and x be an element of L.If sup X exists in L,then x sup X=sup({x} finsups(X)).(30)Let L be an up-complete lattice.Suppose that for every subset X of L and forevery element x of L holds x sup X=sup({x} finsups(X)).Let X be a non empty directed subset of L and x be an element of L.Then x sup X=sup({x} X).3.On the inf and sup operationLet L be a non empty relational structure.The functor L yielding a map from[:L,L:] into L is defined as follows:(Def.4)For all elements x,y of L holds L( x,y )=x y.We now state the proposition(31)For every non empty relational structure L and for every element x of[:L,L:]holdsL(x)=x1 x2.Let L be a transitive antisymmetric relational structure with g.l.b.’s.One can check that L is monotone.We now state two propositions:(32)For every non empty relational structure S and for all subsets D1,D2of S holds( S)◦[:D1,D2:]=D1 D2.(33)For every up-complete semilattice L and for every non empty directed subset D of[:L,L:]holds sup(( L)◦D)=sup(π1(D) π2(D)).Let L be a non empty relational structure.The functor L yields a map from[:L,L:] into L and is defined by:(Def.5)For all elements x,y of L holds L( x,y )=x y.The following proposition is true(34)For every non empty relational structure L and for every element x of[:L,L:]holdsL(x)=x1 x2.Let L be a transitive antisymmetric relational structure with l.u.b.’s.Observe that L is monotone.Next we state two propositions:(35)For every non empty relational structure S and for all subsets D1,D2of S holds( S)◦[:D1,D2:]=D1 D2.(36)For every complete non empty poset L and for every non emptyfiltered subset Dof[:L,L:]holds inf(( L)◦D)=inf(π1(D) π2(D)).4.Meet-continuous latticesLet R be a non empty reflexive relational structure.We say that R satisfies MC if and only if:(Def.6)For every element x of R and for every non empty directed subset D of R holds x sup D=sup({x} D).Let R be a non empty reflexive relational structure.We say that R is meet-continuous if and only if:(Def.7)R is up-complete and satisfies MC.Let us mention that every non empty reflexive relational structure which is trivial sat-isfies MC.One can check that every non empty reflexive relational structure which is meet-continuous is also up-complete and satisfies MC and every non empty reflexive relational structure which is up-complete and satisfies MC is also meet-continuous.Let us mention that there exists a lattice which is strict,non empty,and trivial.Next we state two propositions:(37)Let S be a non empty reflexive relational structure such that for every subset X ofS and for every element x of S holds x sup X= S{x y;y ranges over elements of S:y∈X}.Then S satisfies MC.(38)Let L be an up-complete semilattice.If SupMap(L)is meet-preserving,then for allideals I1,I2of L holds sup I1 sup I2=sup(I1 I2).Let L be an up-complete sup-semilattice.Observe that SupMap(L)is join-preserving.One can prove the following propositions:(39)Let L be an up-complete semilattice.If for all ideals I1,I2of L holds sup I1 sup I2=sup(I1 I2),then SupMap(L)is meet-preserving.(40)Let L be an up-complete semilattice.Suppose that for all ideals I1,I2of L holdssup I1 sup I2=sup(I1 I2).Let D1,D2be directed non empty subsets of L.Then sup D1 sup D2=sup(D1 D2).(41)Let L be a non empty reflexive relational structure.Suppose L satisfies MC.Let xbe an element of L and N be a non empty prenet over L.If N is eventually-directed, then x sup N=sup({x} rng netmap(N,L)).(42)Let L be a non empty reflexive relational structure such that for every element x ofL and for every prenet N over L such that N is eventually-directed holds x sup N= sup({x} rng netmap(N,L)).Then L satisfies MC.(43)Let L be an up-complete antisymmetric non empty reflexive relational structure.Suppose L is directed-sups-preserving.Let D1,D2be non empty directed subsets of L.Then sup D1 sup D2=sup(D1 D2).(44)Let L be a non empty reflexive antisymmetric relational structure such that for allnon empty directed subsets D1,D2of L holds sup D1 sup D2=sup(D1 D2).Then L satisfies MC.(45)Let L be an antisymmetric non empty reflexive relational structure with g.l.b.’ssatisfying MC,x be an element of L,and D be a non empty directed subset of L.If x≤sup D,then x=sup({x} D).(46)Let L be an up-complete semilattice.Suppose that for every element x of L and forevery non empty directed subset E of L such that x≤sup E holds x≤sup({x} E).Then L is directed-sups-preserving.(47)Let L be a complete antisymmetric non empty reflexive relational structure.Sup-pose that for every element x of L and for every prenet N over L such that N is eventually-directed holds x sup N=sup({x} rng netmap(N,L)).Let x be an el-ement of L,J be a set,and f be a function from J into the carrier of L.Then x Sup(f)=sup(x FinSups(f)).(48)Let L be a complete semilattice.Suppose that for every element x of L and forevery set J and for every function f from J into the carrier of L holds x Sup(f)= sup(x FinSups(f)).Let x be an element of L and N be a prenet over L.If N is eventually-directed,then x sup N=sup({x} rng netmap(N,L)).(49)For every up-complete lattice L holds L is meet-continuous iffSupMap(L)is meet-preserving and join-preserving.Let L be a meet-continuous lattice.One can verify that SupMap(L)is meet-preserving and join-preserving.We now state four propositions:(50)Let L be an up-complete lattice.Then L is meet-continuous if and only if for allideals I1,I2of L holds sup I1 sup I2=sup(I1 I2).(51)Let L be an up-complete lattice.Then L is meet-continuous if and only if for allnon empty directed subsets D1,D2of L holds sup D1 sup D2=sup(D1 D2). (52)Let L be an up-complete lattice.Then L is meet-continuous if and only if for everyelement x of L and for every non empty directed subset D of L such that x≤sup D holds x=sup({x} D).(53)For every up-complete semilattice L holds L is meet-continuous iff L is directed-sups-preserving.Let L be a meet-continuous semilattice.Note that L is directed-sups-preserving.The following two propositions are true:(54)Let L be an up-complete semilattice.Then L is meet-continuous if and only iffor every element x of L and for every non empty prenet N over L such that N is eventually-directed holds x sup N=sup({x} rng netmap(N,L)).(55)Let L be a complete semilattice.Then L is meet-continuous if and only if for everyelement x of L and for every set J and for every function f from J into the carrier of L holds x Sup(f)=sup(x FinSups(f)).Let L be a meet-continuous semilattice and let x be an element of L.Observe that x is directed-sups-preserving.The following proposition is true(56)For every complete non empty poset H holds H is Heyting iffH is meet-continuousand distributive.Let us observe that every non empty poset which is complete and Heyting is also meet-continuous and distributive and every non empty poset which is complete,meet-continuous, and distributive is also Heyting.References[1]Grzegorz plete lattices.Journal of Formalized Mathematics,4,1992./JFM/Vol4/lattice3.html.[2]Grzegorz Bancerek.Bounds in posets and relational substructures.Journal of Formalized Mathematics,8,1996./JFM/Vol8/yellow_0.html.[3]Grzegorz Bancerek.Directed sets,nets,ideals,filters,and maps.Journal of Formalized Mathematics,8,1996./JFM/Vol8/waybel_0.html.[4]J´o zef Bia l as.Group andfield definitions.Journal of Formalized Mathematics,1,1989./JFM/Vol1/realset1.html.[5]Czes l aw Byli´n ski.Functions and their basic properties.Journal of Formalized Mathematics,1,1989.http:///JFM/Vol1/funct_1.html.[6]Czes l aw Byli´n ski.Functions from a set to a set.Journal of Formalized Mathematics,1,1989.http:///JFM/Vol1/funct_2.html.[7]Czes l aw Byli´n ski.Some basic properties of sets.Journal of Formalized Mathematics,1,1989.http:///JFM/Vol1/zfmisc_1.html.[8]Czes l aw Byli´n ski.Galois connections.Journal of Formalized Mathematics,8,1996./JFM/Vol8/waybel_1.html.[9]Agata Darmochwa l.Finite sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/finset_1.html.[10]G.Gierz,K.H.Hofmann,K.Keimel,wson,M.Mislove,and D.S.Scott.A Compendium of ContinuousLattices.Springer-Verlag,Berlin,Heidelberg,New York,1980.[11]Adam Grabowski.On the category of posets.Journal of Formalized Mathematics,8,1996.http://mizar.org/JFM/Vol8/orders_3.html.[12]Adam Grabowski and Robert Milewski.Boolean posets,posets under inclusion and products of relationalstructures.Journal of Formalized Mathematics,8,1996./JFM/Vol8/yellow_1.html.[13]Krzysztof Hryniewiecki.Relations of tolerance.Journal of Formalized Mathematics,2,1990.http://mizar.org/JFM/Vol2/toler_1.html.[14]Artur Korni l owicz.Cartesian products of relations and relational structures.Journal of Formalized Mathe-matics,8,1996./JFM/Vol8/yellow_3.html.[15]Artur Korni l owicz.Definitions and properties of the join and meet of subsets.Journal of FormalizedMathematics,8,1996./JFM/Vol8/yellow_4.html.[16]Beata Padlewska and Agata Darmochwa l.Topological spaces and continuous functions.Journal of FormalizedMathematics,1,1989./JFM/Vol1/pre_topc.html.[17]Andrzej Trybulec.Tarski Grothendieck set theory.Journal of Formalized Mathematics,Axiomatics,1989./JFM/Axiomatics/tarski.html.[18]Andrzej Trybulec and Agata Darmochwa l.Boolean domains.Journal of Formalized Mathematics,1,1989./JFM/Vol1/finsub_1.html.[19]Wojciech A.Trybulec.Partially ordered sets.Journal of Formalized Mathematics,1,1989.http://mizar.org/JFM/Vol1/orders_1.html.[20]Zinaida Trybulec.Properties of subsets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/subset_1.html.[21]Zinaida Trybulec and Halina´Swi¸e czkowska.Boolean properties of sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/boole.html.[22]Edmund Woronowicz.Relations and their basic properties.Journal of Formalized Mathematics,1,1989./JFM/Vol1/relat_1.html.[23]Edmund Woronowicz.Relations defined on sets.Journal of Formalized Mathematics,1,1989.http:///JFM/Vol1/relset_1.html.[24]Edmund Woronowicz and Anna Zalewska.Properties of binary relations.Journal of Formalized Mathematics,1,1989./JFM/Vol1/relat_2.html.[25]Mariusz˙Zynel and Czes l aw Byli´n ski.Properties of relational structures,posets,lattices and maps.Journalof Formalized Mathematics,8,1996./JFM/Vol8/yellow_2.html.Received October10,1996Published January9,2002。
跨文化交际2010下
教案2010 - 2011学年第一学期课程名称:跨文化交际课程代码:学部、专业:文学部对外汉语本科年级、班级:200802任课教师:肖双荣教师所在单位:文学部湖南涉外经济学院湖南涉外经济学院2010 - 2011学年第一学期教学日历课程名称跨文化交际文学部对外汉语专业2008 年级课程学期总学时其中上课周数周学时学分考核方式采用教材情况教材名称跨文化交际讲授实验(践)主编(著) 许力生出版社名称上海外语教育出版社36 27 9 18 2 2 考查出版时间2008年11月第1版周次日期上课节次上课地点每周时数分配教学内容备注讲授实验(践)合计时数1 9.3 1-2 401 2 - 2 Living Between Three worlds(1)2 9.10 1-2 401 1 1 2 (2) + Group Discussion3 9.17 1-2 401 2 - 2 Misunderstanding Other Cultures(1)4 9.24 1-2 401 1 1 2 (2) + Pair Work5 10.1 1-2 401 2 - 2 Where Fat Is a Mark of Beauty (1) P82Quiz6 10.8 1-2 401 1 1 2 (2) + Survey Task7 10.15 1-2 401 2 - 2 How Long Does It Take to Say (1)8 10.22 1-2 401 1 1 2 (2) + Pair Work9 10.29 1-2 401 2 - 2 Culture and Our Use of Language(1)10 11.5 1-2 401 1 1 2 (2) + Group Discussion P136Quiz11 11.12 1-2 401 2 - 2 Why Don‘t You Say What You Mean(1)12 11.19 1-2 401 1 1 2 (2) + Pair Work13 11.26 1-2 401 2 - 2 Who‘s Wrong(1)14 12.3 1-2 401 1 1 2 (2) + Pair Work15 12.10 1-2 401 2 - 2 Cultural Views Toward Management(1) P208Quiz16 12.17 1-2 401 1 1 2 (2) + In-Class Debate17 12.24 1-2 401 2 - 2 Culture Shock (1)18 12.31 1-2 401 1 1 2 (2) + Group Discussion19 考期20 考期说明:1、教学内容按每次内容填写;2、考核方式考试与考查两种;3、任课教师在每期开课以前根据教学大纲编写教学日历,一式四份,经学部(系、室)主任审阅同意后,一份自存,一份交所在系,一份交所在学部,一份交学生。
Irreducible representations of quantum solvable algebras at roots of 1
a rX iv:mat h /35376v1[mat h.QA ]27Ma y23Irreducible representations of quantum solvable algebras at roots of 1A.N.Panov.Mathematical Department,Samara State University,ul.Akad.Pavlova 1,Samara,443011,Russia panov@ssu.samara.ru 1Abstract We study the irreducible representations of quantum solvable algebras at roots of 1which lie over a point of the variety of center.We characterize the quiver of fiber algebra and present the formulas on the dimension and the number of these representations in terms of Poisson structure of the variety of center.1Introduction.Quantum algebras appears in papers on mathamatical physics as deformations of the algebra of regular functions C [G ]on the Lie group and universal enveloping algebra U (g ).From algebraic point of view,quantizing C -algebra R ,we have got C -algebra R q which is a free module over the ring of Laurent polynomials C [q,q −1]and R =R q mod (q −1).If R is a Hopf algebra,then it is natural to seek its quantizations in the class of Hopf algebras.The most familiar quantum algebras are quantum universal enveloping algebra U q (g )for semisimple Lie algebra g ,its dual Hopf algebra C q [G ],algebra of Quantum matrices,Quantum Weyl algebra.One can extend the chain ofexamples considering the multiparatmeter versions of these algebras,quantum spaces of representations.One sets up the problem of description of the space of primitive ideals.It is itreresting to construct some general theory in spirit of the orbit method and also to classify primitive ideals for specific quantum algebras.The problem reduces to specializations R ε=R q mod (q −ε)where ε∈C .Two cases take place:εis a root of 1and εis not a root of 1.Up today the classification of primitive ideals is known for for C q [G ]and quantum universal enveloping algebra of maximal solvable (resp.nilpotent)subalgebra in g .Thecase of not a root of unity is studied in the book[J].The papers[DC-K],[DCKP1,2], [DC-L],[DC-P1,2]are devoted to the caseεis a root of1.Here is the simplified plan of classification of primitive ideals for C q[G].The clas-sification is based on the description of symplectic leaves on G as orbits of dressing transformations[ST].For any symplectic leafΩone considers the ideal of functions vanishing on it.Its generators are some matrix elements of irreducible representations of the Lie group G.One can construct quantum analog of this ideal as an ideal gen-erated by the corresponding matrix elements of irreducible representations of U q(g). The constructed ideal is primitive,ifεis not a root of1.It helps to stratify primitive ideals,ifεis a root of1.The next example is algebra of Quantum matrices.Theses algebra is a bialgebra, but not a Hopf algebra.the above methods are not valid for it.For classification of prime winding-invariant ideals see[GLn1,2],[C2],[L].One of the main goals is U q(g). This problem is far from its solution[J],[DC-K].Consideration of examples make possible to set up some conjectures.The next goal is to prove this conjectures in maximally weak assumptions imposed on R q.These assumptions must be easily checkable and the theory must cover the main examples.This paper is devoted to the case of roots1.In what follows we suppose thatεis a primitive l th root of1.In the above examples,Rεisfinite over its center.That is the algebra Rεis an order.Notice that this property also holds for elliptic algebras[FO], some new quantum groups that appear in the framework of theory of special functions [IK],reflection algebas[BG1].The problem of description of primitive ideals for orders is equivalent to promlem of classification of irreducible representations.The restriction on the center of an irreducible representationπof Rεis scalarπ|Z=χ·id and it defines the characterχε(i.e.the point of the variety)of center Zε.We set up the usual problem for orders:to classify all irreducible representations of Rεlying over given pointχof the variety of center.There is one common feature of the above orders:the existence of the quantum ad-joint action(see Section2and[DCKP2],[P3]).Acting on the center Zε,the quantum adjoint action defines the Poisson bracket.The variety of center becomes a Poisson variety which splits into symplectic leaves.It is proposed that the problem of classifi-cationof irreducible representations can be solved in terms of geometrical and Poisson properties of the variety of center.In the paper we study the quantum solvable algebras which are iterated skew polynomials extensions of K[q,q−1].The examples of these algebras are the algebra of Quantum matrices(see2.14),Quantum Weyl algebra,U q(b)and U q(n)(see.2.15)and their numerous subalgebras.The algebra C q[G]is not solvable,but one can reduce it to some solvable algebra after the localizaton.For details in examples see[P2].The main goal is the construction of quantum version of theory of Dixmier for U q(g)where g is a solvable Lie algebr[D].Here are some problems which stimulate general theory. Problem1.To prove that the symplectic leaves are algebraic(i.e Zariski-open in its Zariski closure);Problem2.To prove that the dimension of an irreducible representation overχis equal to l d25.1];Problem3.To describe the quiver of the algebra Rε,χ:=Rε/m(χ)Rεwhere m(χ)= Ker(χ).Problem4.Tofind the formula for the number of irreducible representations overχ.The solutions is known for C q[G]and U q(b).The solution of Problem1for these algebras arises from the method of dressing transformations.The formulas on dimen-sions and the number of irreducible representations were obtained in[DC-P2].The quivers were studed in[BG2].In[P3]the Problems1and2were solved for rather great l(the point of good reduction of stratification process).The goal of this paper is to drop these undesirable restriction on l and to go forward in describing the quiver and determining the number of irreducible representations overχ.The main definition of the paper is the definition of normal quantum solvable algebra(or NQS-algebra,see Definition2.10).We require that this algebra obeys some Conditions CN1,CN2.We present two examples(Quantum matrices and U(n)).One canfind the other examples in([G],[P1-P2]).Our definition of admissible l(Definition 2.18)is easily checkable and necessary for solution of Promlems1-4.We stratify the prime D-stable spectrum of NQS-algebra(see Theorem3.2).It is proved that every prime D-stable ideal is completely prime(see Theorem3.3).The Problems1and2are solved in Theorem4.2.One can correspond the quiver to anyfinite dimensional algebra A[Pie,6.4].The vertices of quiver are primitive idempotents e1,...,e N such that their right ideals e1A,...,e N A represent non isomorphic classes of principal indecomposable A-modulas. Two vertices e i,e j are linked with wedge(e i,e j)if e i Je j=0where J is the radical of A.In the paper we prove(see Theorem4.3)that any two vertices e i,e j of quiver of finite dimensional algebra Rε,χis linked by wedges(e i,e j)and(e j,e i).In particular the quiver is connected.In the last Section5,we prove(Theorems5.5,5.7)that the number of irreducible representations overχis equal to l t where t is the dimension of some toric Lie subal-gebra of the stabilizer g(χ)ofχ(Definition5.6).We are very thankfull to J.Cauchon;he sent his new preprint[C1]to the author. The method of stratification of[C1]is used in this paper.We are very thankfull to C.De Concini,C.Procesi,K.Brown and I.Gordon for useful discussions.2Quantum solvable algebras and F A-elementsWe begin with some general definitions and the properties of skew extensions which are used throughout this paper.Let R F be a domain and an algebra over afield F.Definition2.1.We say that x∈R F is an element offinite adjoint action(or x is a FA-element)if x is not a zero divisor and for every a∈R F there exists a polynomial f a(t)=c0t N+c1t N−1+···+c N,c0=0,c N=0over F such thatc0x N a+c1x N−1ax+···+c N ax N=0.(2.1)A FA-element x generates a denominator set S x:={x n}n∈N[P1,Proposition3.3].One can rewrite(2.1)in the formf a(Ad x)a=0(2.2) where Ad x(a)=xax−1.If x is a FA-element in R,then it is a FA-element in RS−1x. The following statements are easy to prove.Proposition2.2.Let x,y∈Fract(R F)be FA-elements in a domain R F and suppose that xy=γyx with someγ∈F∗.Then xy is also a FA-element.Proposition2.3.Suppose that the above domain R F is generated by x1,...,x n and x∈Fract(R F).Suppose that for every j there exists a polynonial f j(t)obeying(2.1) with a=x j.Then x is a FA-element in R F.If,in addition,f j(t)splits f j(t)= (t−γ(1)j)···(t−γ(n j)j),then,for any a∈R F,the polynomial f a(t)also splits with the roots in the semigroup generated byγ(s)j.Let we have an endomorphismτof R F(τis identical on F)and aτ-derivation δof R F(i.e.δ(ab)=δ(a)b+τ(a)δ(b)for all a,b∈R F)which is zero on F.An Ore extension(skew extention)T F=R F[x;τ,δ]of R F is generated by x and R F with xa=τ(a)x+δ(a)for all a∈R F.Every element of T can be uniquely presented in the form x i r i(or r i x i)where r i∈R.Proposition 2.4.Let R F and T F=R F[x;τ,δ]be as above with diagonalizable automorphismτ.Suppose thatτδ=γδτ,γ=0.The element x is a FA-element in T F iffδis locally nilpotent.Moreover,forτ-eigenvector a,there exists a polynomial f a(t)of degree N obeying(2.1)iffδN(a)=0.Proof.Let a be aτ-eigenvector,i.e.τ(a)=βa.There exists a polynomial f(t) obeying(2.1).Then0=c0x N a+c1x N−1ax+...+c N ax N=f(β)ax N+{terms of lower degree}.It implies that f(β)=0,f(t)=f1(t)(t−β)and0=f(Ad x)a=f1(Ad x)(Ad x−β)a=f1(Ad x)δ(a)x−1.The elementδ(a)is also aτ-eigenvector.After N steps we get δN(a)=0where N=deg f(t).On the other hand,ifδN(a)=0andτ(a)=βa,then the polynomialf(t):=Ni=1(t−βγi)obeys(2.1).2Let K be an algebraic closedfield of zero characteristic,q be an indeterminate and C be a localization K[q,q−1]over somefinitely generated denominator set.Denote Γ={q k:k∈Z}.Put F=Fract(C)=K(q).Definition2.5.Let R be an unital domain,an algebra over C and a free C-module. Let x be an element in R.1)An element x∈R is a FA-element if it is a FA-element in R F:=R⊗C F;2)We say x is a FA q-element in R if it is a FA-element in R F:=R⊗C F and for any a∈R one can choose the polynomial f a(t)obeying(2.1)such that it splites and all its roots belong toΓ.Definition2.6.We say that two elements a,b q-commute if ab=q k ba for some integer k.Proposition2.7[C,Prop.2.1-2.3].Let R be as in Definition2.5and T F=R F[x;τ,δ] be skew extension whereτis an automorphism,δis a locally nilpotentτ-derivation andτδ=q sδτwith s=0.Denotea=+∞ n=0(1−q s)−nq s−1.Then1)the set S x={x m}m∈N is a denominator subset in T F,2)the map a→ a is an embedding of R is T F S−1x,3)T F S−1x= R F[x±1;τ]where R F is the image of R under a→ a.Throughout this paperεis a primitive l th root of1such that C admits specialisation byε:C→K with q→ε.For anyεconsider the specialisation Rεof R over K.In what follows we shall use two notations.If a∈R,we put aε:=a mod(q−ε).For a∈Rε,we denote by a−a q−εmod(q−ε)defines a derivation of Rε.We call D u the quantum adjoint action of u(see[DCKP1-2],[P3]).An ideal is stable with respect to the quantum adjoint action(call D-stable) if it is stable with respect to all D u.The formula{a,b}=D a(n)q s!=(q−ε)m c(q)where c(ε)=0.Henceδn(a)q−ε,m∈N.For any a∈R the element a(see2.3)lies in the localization of T over S x and N x and T S−1x N−1x=R N−1x[x;τ].Taking modulo q−ε,we get the claim.2Let S=(s ij)be a M×M integer skew-symmetric matrix.Denote q ij=q s ij and form the matrix Q=(q ij).Choose the subset,call distinguished subset,k:= {t1,...,t m}where1≤t1<...<t m≤M.Definition2.10.We say that R is a normal quantum solvable algebra(or a NQS-algebra)over C,if R is generated by the elements x i,1≤i≤M and x−1j,j∈k suchthat the monomials x t11···x t MM with t j∈Z,j∈k and t j∈N,1≤j≤M,j/∈k forma free C-basis,the algebra C lies in the center of R and the following relations hold1)x i x j=q ij x j x i for all i and j∈k;2)for1≤i<j≤M,x i x j=q ij x j x i+r ij(2.4)where r ij is a sum of monomials cx t i+1i+1···x t j−1j−1with c∈C.The definition of quantumsolvable algebra is given in Remark2.12.The subalgebra Y k,generated by C and x±1i,i∈k,is an algebra of twisted Laurent polynomials.The subalgebras R i,generated by C,x j,j≥i and their inversies for the distiguished subscripts,form a chain R=R1⊃R2⊃···⊃R M(call it the right filtration).One can prove that each R i is a skew extension of R i+1[GL1,1.2].This means that the mapτi:x j→q ij x j,i<j is extended to an automorphism of R i+1 and the mapδi:x j→r ij is extended to aτi-derivation of R i+1.All automorphismsτi are identical on C and allτi-derivationsδi are equal to zero on C.The formula(2.4) yields,R i=R i+1[x i;τi,δi]for i/∈k and R i=R i+1[x±1i,τi]for i∈k.A NQS-algebra is a Noetherian domain[MC-R,1.2.9],a C-algebra and a free C-module.The NQS-algebra R has the otherfiltration(call it the leftfiltraton)R′1⊂R′2⊂···⊂R′M=Rwith R′i is generated by C,x1,...,x i and their inversies for distinguished subscripts. Again R′i=R′i−1[x i;τ′i,δ′i](resp.R′i=R′i−1[x±1i,τ′i]for distinguished i)whereτ′i (resp.δ′i)is the automorphism(resp.τ′i-derivation)of R i−1.We putδi=δ′i=0for distiguished i.Furthermore,for any1≤α<β≤M we denote by R[α,β]the subalgebra generated by C,x i and x−1j such thatα≤i,j≤βand j∈k.Notice that R[α,β]=R[α−1,β][xα;τα,δα],forα/∈k,and R[α,β]=R[α−1,β][x±1α;τα],forα∈k.Similarly,R[α,β]=R[α,β−1][xβ;τ′β,δ′β],forβ/∈k,and R[α,β]=R[α,β−1][x±1β;τ′β],forβ∈k.We put the following conditions on a NQS-algebra.Condition CN1.We require R be an iterated q-skew extension for the left and the rightfiltrations.This means thatτiδi=q iδiτi,for some q i=q s i,s i∈Z,andτ′iδ′i=q′iδ′iτ′i,for some q′i=q s′i,s′i∈Z.We require that all s i=0(resp.s′i=0)ifδi=0 (resp.δ′i=0).We call{s i},{s′i}the systems of exponents R.Condition CN2.Allτi andτ′i are extended to diagonal automorphisms of R and generate the commuting diagonal subgroups H and H′.Proposition2.11.Let R be a NQS-algebra over C.Put n=M−m.Let˜R i,i/∈k be a subalgebra generated by R i and Y k.The chain R=˜R1⊃˜R2⊃···⊃˜R n⊃˜R n+1=Y k is a chain of skew extensions˜R i∼=˜R i+1[x;˜τi,˜δi].If,in addition,R obeys Condition CN1,then˜τi˜δi=q i˜δi˜τi with the same q i=q s i as in CN1.Proof.We put˜τi(a)=τi(a)(resp.˜δ(a)=δ(a)),for a∈R i−1,andτi(x j)=q ij x j (resp.˜δ(x j)=0),for j<i,j∈k.The direct calculations conclude the proof.2 Remark2.12.A quantum solvable algebra is defined in[P1-P3]as an algebra gener-ated R is generated by the elements x1,x2,...,x n,x±1n+1,...,x±1n+m with M=n+m suchthat the monomials x t11···x t n n x t n+1n+1···x t n+mn+mwith t1,...,t n∈N and t n+1,...,t n+m∈Zform a free C-basis and the relations hold:1)x i x j=q ij x j x i,for all i and n+1≤j≤M,2)x i x j=q ij x j x i+r ij,1≤i<j≤n where r ij is an element of the subalgebra R i+1 generated by x i+1,...,x n,x±1n+1,...,x±1n+m..Proposition2.9claims that a NQS-algebra is a quantum solvable algebra.The Conditions CN1and CN2are comparable with more general Conditions Q1-Q4of[P2]and Conditions3.2-3.4of[P3].Proposition2.13.Any FA-element in a quantum solvable algebra(in particular,is a NQS-algebra)R is a FA q-element.Proof.Let R be a quantum solvable algebra(see above Remark).For a monomialw=x t11···x t MM ,denote deg(w)=(t1,...,t M).Lexicographical order provides thefil-tration in R.The algebra A Q:=gr(R)is generated by a i=gr(x i),1≤i≤M and a−1j, j∈k.The relatons are a i a j=q ij a j a i.The algebra A Q is the localization of algebra of twisted polynomials.As usual(·,·)denotes the standard scalar product in Z M.For two monomials a,b∈A Q with deg(a)=m,we have ab=q(S m)ba.For every u,v∈R with deg(u)=m,uv=q(S m)vu+{terms of lower degree}.(2.5) Let u,v∈R and the element u be a FA-element.Let f(t)be the corresponding polynolial obeying(2.1),for x:=u and a:=v.Putγ:=q(S m).By(2.5), 0=c0u N v+u N−1vu+...+c N vu N=f(γ)vu N+{terms of lower degree}. Hence,f(γ)=0and f(t)=(t−γ)f1(t).The element v1:=uv−γvu is annihilated by f1(Ad u).The proof is concluded by induction on degree of polynomial f(t).2 Here are two the most familiar examples of NQS-algebras.Example2.14.Quantum matrices.The algebra M q(n,K)of regular functions on quantum matrices is generated over C:=K[q,q−1]and the entries of quantum matrix{a ti}n t,i=1which obey the relations a ti a sj−a sj a ti=(q−q−1)a si a tj for i<j,t<s and a ti a sj=qa sj a ti,for t<s,i=j and t=s,i<j.The algebra M q(n,K)is a NQS-algebra with respect to generators x(i−1)n+j=a ij. It obeys CN1(see[G],[P2])and CN2(the mapτij:a ij→qa ij,i.e the multiplica-tion of i th row by q,is an automorphism of R).One can obtain an other examplesconsidering subalgebras(like Quantum triangular matrices),some generalizations and muliparameter versions of this algebra.Example2.15.U q(n),where n is the upper nilpotent subalgebra of semisimple Lie al-gebra.The algebra U q(n)is generated over C=K[q,q−1,(q d i−q−d i)−1]by E i,i=,q s′αlm−1q−εNQS-algebra obeying Condition CN1.Then the elements{x l iε}lie in the center Zεof Rε.Proof.Apply Corollary2.8.2Proposition2.20.Let R andεbe as in2.19.1)If x is a FA-element of R F(resp.Rε),then linear operator Ad x is diagonalizable in R F S−1x(resp.RεS−1x).2)For any FA-element x in R the element x lεlies in Zε.Proof.Lemma2.19implies that Rεisfinite over its center.The set of roots of unity, that obey2)and3)of Definition2.18,is infinite.The statement1)is a corollary[P1, Cor.2.5,Proposition3.4].Let us prove2).For the FA-element x and any a is R there exists a minimal polynomial f(t)that obeys(2.1).By Proposition2.13,the roots of f(t)belong toΓ. Suppose that qα1,...,qαN are the roots of f(t).The element u=x l are also a FA-element of R.The operators Ad x and Ad x l are simultaneously diagonalizable.The roots of corresponding polynomial f∗(t)for x l areλi:=qαi l,1≤i≤N.It impliesf∗(t)=(t−1)N mod(q−ε)and(Ad x lε−id)a=0.On the other hand,by1),xεandx lεare FA-elements in Rε.Hence,Ad x lεis diagonalizable.It follows x lε∈Zεand2).2Definition2.21.R andεas above.We say that an ideal is D0-stable if it is stablewith respect to all derivations D x li ,1≤i≤M.Notation2.22.For any automorphismτ∈H we denote byθthe following diagonal derivation of Rεθ(a)=τl−idLet i2be any integer which i1<i2≤n.There exists a positive integer t suchthat y2:=x′i2x t i1∈R.Similarly to thefirst step of stratification process,we considerdenominator subset S2generated by q-commuting elements y1,y2.As we saw theelement(x′i2ε)l lies in the center of R(1)ε.By Corollary2.17,the algebra R(2):=RS−12N−1=RS−11S−1x′i2N−1is a NQS-algebra with the generatorsx′′1,...,x′′i1−1,x±1i1,x′′i1+1,...,x′′i2−1,x′i2±1,x′′i2+1...,x′′M.(3.2)After k steps we get the denominator subset S:=Sµ,µ:={i1,...,i k}generated by the system of q-commuting elements y1,...,y k∈R and N.We call S as the standard denominator subset.The algebra˜R:=R(k)=RS−1is a NQS-algebra over C N−1with the generators˜x j:=x(k)j and y±11,...,y±1k.All generators are FA-elements in˜R.We denote by Y:=Yµthe subalgebra,generated by y±11,...,y±1k (or x±1i1,(x′i2)±1,(x′′i3)±1,...,(x(k−1)i k)±1).The imposed relations of Y are y i y j=q t ij y j y i.The integermatrix(t ij)k i,j=1is obtained by elementary transformations of submatrix Sµ=(s ij)ij∈µof S.The algebra Y is an algebra of twisted Laurent polynomials.By Proposition2.11,we may treat˜R as a iterated q-skew extension˜R:=˜R1⊃˜R2⊃···⊃˜R˜M⊃˜R˜M+1=:Y(3.3)where˜M:=M−k and˜R i∼=˜R i+1[x;˜τi,˜δi].Definition3.1.1)We say that S:=Sµis C-admissible if the ideal J:=J S of˜R generated by˜x i, i∈[1,M]−µhas zero intersection with C;2)We say that S:=Sµisε-admissible if the ideal J:=J S of˜Rεgenerated by˜x iε, i∈[1,M]−µis proper.3)We say that S:=Sµis(ε,D)-admissible if the D-stable ideal(denote D J)of˜Rεgenerated by J(see2))is proper.Notice that,in general,the ideal J(resp.J)may have nonzero intersection with Y(resp.Yε)and is not prime.For instance,it holds for the algebra R f which is con-structed by a polynomial f as follows.This algebra is generated by x1,x2,y±11,...,y±1k where the elements{y i}lie in the center and x1x2−qx2x1=f(y1,...,y k,q).The ideal J,generated by x1and x2,has nonzero intersection with Y and is not prime when the polynomial f is reducible.In the case f=f(q),the ideal J has nonzero intersection with C.Theorem3.2.Let R be a NQS-algebra obeying Conditions CN1and CN2,andεbea specialisation of C obeying the conditions2)and3)of Definition2.18.1)For any I∈Spec(R),I C=0,there exists a unique C-admissible standard denominator subset S:=Sµsuch that I S=∅and I S−1⊃J S.2)Let R andεbe as above.For any prime D-stable ideal I of Rεthere exists a unique(ε,D)-admissible standard denominator subset S=Sµsuch that I Sε=∅and IS−1ε⊃J S.Proof.Let I∈Spec(R)and I C=0.Suppose that x1...,x i1−1∈I and y1:=x i1/∈I.All prime ideals of R are completely prime[GL2,Theorem2.3].(this is false for Rε).Therefore,I {y t1}t∈N=∅.The ideal I admits localization over S1·N(see stratification process).By the formula(2.3),x′1,...,x′i1−1∈I S−11N−1.Supposethat x′i1+1,...,x′i2−1∈I S−11N−1and x′i2/∈I S−11N−1.Following the stratificationprocess,finally,we have˜x i∈I S−1for i∈[1,M]−µ.This proves1).For a prime D-stable ideal I of Rε,consider the greatestΘ′-stable ideal IΘ′in I.The ideal IΘ′is D-stable[P3,Proposition3.14]and prime[MC-R,14.2.3],[D,3.3.2]. Consider the leftfiltration R′1ε⊂···⊂R′iε⊂···⊂R′Mε=Rε.A prime(D,Θ′)-stable ideal has prime intersections with all subalgebras R′iε[P3,Theorem2.12].Supposethat I contains x1ε,···,x i1−1,εand does not contain y1ε=x i1,ε.The ideal IΘ′ R′iεisprime.SinceR′iεIΘ′ K[x iε],the ideal IΘ′ R′iεis completely prime.It follows that IΘ′has empty intersection with the subset S1ε:={y m1ε}m∈N.Since y1εis aΘ′-eigenvector,I has empty intersection with S1ε.Since y1is a FA-element in R,the element y l1εlies in the center of Rε(see Propo-sition2.20).By proof of Corollary2.9,we can reduce x′1,...,x′i1−1modulo q−εandobtain x′1ε,...,x′i1−1,ε∈IS−11ε.On the second step suppose that x′i1+1,ε,...,x′i2−1,ε∈IΘ′S−11εand x′i2/∈IΘ′S−11ε.The factor algebraR′i2S−11εIS−1ε=Yε3.18].The ideal IS−1ε Yεis completely prime and,therefore,I is completely prime. 2Till the end of this section we suppose thatεis an admissible specialisation of C (see Definition2.18).One can choose the new generators(monomials)h1,···,h k of Y with the following relationsh1h2=q m1h2h1,...,h2r−1h2r=q m r h2r h2r−1(3.5) where m1,...,m r are relatively prime with l(see Definition2.18)and h2t+1,...,h k generate the center of Y.All elements h i are FA-elements in˜R.In what follows we suppose that the elements of C and z1:=h2r+t+1,...,z p:=h k,p=k−2r−t generate the intersection Z:=Y ˜Z where˜Z:=Center(˜R).Denote u1:=h2r+1,...,u t:= h2r+t.We have Z=K[z±11,...,z±1p,q±1],Zε=K[z±11ε,...,z±1pε]andZ(Y)=K[u±11,...,u±1t,z±11,...,z±1p,q±1],Z(Y)ε:=Z(Y)mod(q−ε)=K[u±11ε,...,u±1tε,z±11ε,...,z±1pε],Z(Yε):=Center(Yε)=K[h±l1ε,...,h±l2rε,u±11ε,...,u±1tε,z±11ε,...,z±1pε].The algebra Z(Y)εcoincides with subalgebra Z(Yε)D which consists of the elementsof Z(Yε)annihilated by all D y li .As above˜Zε:=Center(˜Rε).The intersection˜Zε Yεis a polynomial algebra˜Zε Yε=K[h±l1ε,...,h±l2rε,u±l1ε,...,u±l tε,z±11ε,...,z±1pε].Notations3.4.1)G is the subgroup in˜R generated by S(i.e.by y1,...,y k),2)G l is its subgroup generated by y l,...,y l k,3)W:={a∈˜R:ay=ya for all y∈Y}.4)Wε:=W mod(q−ε).The elements of G are FA-elements on˜R.It follows that,for any y∈G,the linear operator Ad y is diagonalizable over C N−1,(Proposition2.20).Since the generators of G are q-commuting elements,then{Ad y:y∈G}is the commutative subgroup of Aut(˜R).It follows that{Ad y}are simultaneously diagonalizable.The map∆y l:=y−lεD y l:˜Rε→˜Rεis a diagonalizable derivation.Moreover,if Ad y v=qαv,then∆y l(vε)=α:=αlε−1.If D y l(vε)=0for any y∈G,then vε∈Wε.The derivation∆y l preserve the center˜Zεand diagonalizable in it.Lemma3.5.Let v∈˜R and vε∈˜Zε.Then1)D v(Yε)is contained in the ideal<vε>generated by vε.2)If vε∈Wε ˜Zε,then D v(Yε)=0.Proof.One can assume,that vε(resp.v)is∆G l-eigenvector(resp.Ad G-eigenvector). For Ad y v=qαv,we have∆y l vε=αy lεvε=D ylvε.On the other hand,D y l vε={y lε,vε}=−{vε,y lε}=−D v(y lε)=−ly l−1εD v(yε).It followsD v(yε)=−αFormula(3.6)yields1).To prove claim2),we decompose v into the sum v=v0+v1+...+v n of Ad G eigenvectors.Suppose that v0∈W(i.e Ad y v=v for all y∈G)and Ad v i=qαi v i,αi=0for1≤i≤n.Since vε∈Wε,then v iε=0for1≤i≤ing(3.6),we haveD v(yε)=D v0(yε)+D v1(yε)+...+D vn(yε)=D v(yε)=0.This proves2).2Proposition3.6.Let S:=Sµbe(ε,D)-admissible and D J denotes the lowest D-stable ideal which containes J:=J S(see Definition3.1).Then˜Zε=D J ˜Zε+K[h±l1ε,...,h±l2t,ε](Wε ˜Zε).(3.7)Proof.Let vε∈˜Zεbe a common eigenvector for∆G l.If vε/∈D J ˜Zε,then vε=j0ε+y0εwhere j0ε∈D J,y0εis a nonzero element of Z(Yε)and j0ε,y0εare∆G l-eigenvectors with the common eigenvalue.One can present y0εin the form y0ε=hεy′0εwhere hεis some monomial:hε:=h m1l1ε···h m2t l2tεwith m1...,m2t∈Z,y′0ε∈Yεand∆G l y′0ε=0.Then the element v′ε:=h−1εvεobeys ∆G l v′ε=0.Whence v′ε∈Wε.2Notice that D J Yεis a D Y-stable ideal in the algebra of twisted Laurent polynomials Yε.Hence[P3,Lemma3.17],D J Yεis is generated by its intersection with Z(Y)ε. Proposition3.71)If m is a maximal ideal of Z(Y)εwhich lies over D J Z(Y)ε, then L m:=D J+m Yεis D-stable ideal in˜Rε;2)if M is a maximal ideal of Wε ˜Zεover D J Wε ˜Zε,thenL M:=D J ˜Zε+K[h±l1ε,...,h±l2t,ε]Mis a Poisson ideal of˜Zε.Proof.By the formula˜Rε=D J+Yε(resp.(3.7)),L m(resp.L M)is a two-sided ideal in˜Rε(resp.˜Zε).Let vε∈˜Zε(resp.v∈˜R)be a common∆G l-eigenvector(resp.Ad G).We are going to prove that both ideals L m and L M are D v-stable.If vε∈D J ˜Zεor vε∈Wε ˜Zεthe statement is a corollary of Lemma3.5.For vε∈K[h±l1ε,...,h±l2t,ε],the derivation D v is zero in Z(Y)εand Wε.Both m and M are annihilated by D v.The ideals L m and L M are D v-stable.24Irreducible representationsLet R be an algebra and a free C-module.One can consider specialisation Rεof R.As above Zεis a center of Rε.This algebra has a Poisson structure via quantum adjoint action(see Section2).Letχbe a central characterχ:Zε→K and m(χ)the corresponding maximal ideal.We treatχas a point of variety M:=Maxspec(Zε).We consider stratification of M[BG1]:M=M0⊃M1⊃···⊃M m=∅where M i+1=(M i)sing.All M iare Poisson varieties.In the case K=C,the smooth locuses M0i:=M i−M i+1 are complex analytic Poisson varieties.Each symplectic leaf is a disjoint union of symplectic leaves.Forχwe denote byΩχthe corresponding symplectic leaf.Let m(χ,D)be the greatest Poisson(i.e.D-stable)ideal in m(χ).One can treat the algebra F:=Zε/m(χ,D)as the algebra of regular functions on Zariski closure MχofΩχ.Denote by Rε,χthefinite dimensional subalgebra Rε/m(χ)Rε.Lemma4.1[P3,Lemma5.1].Let K=C.Let f be a nonzero element of F.There existsχ′∈Ωχsuch that f(χ′)=0and the algebra Rε,χ′is isomorphic to Rε,χ. Theorem4.2.Let K=C,R be a NQS-algebra obeying Conditions CN1and CN2, andεis an admissible specialisation of C.Letπbe an irreducible representation with central charakterχ.Then1)dim(π)=l1。
新通用大学英语第二册第一单元精读教案U-1
Unit 1Text C The Social Value of Small Talk1 Small Talk was written by Justine Coupland, an expert in the field of sociolinguistics which is the study of language in relation to social factors. Coupland provides a comprehensive analysis of the powerful and positive effect that small talk has in socia l interactions. She writes, “Small talk cannot be dismissed as peripheral, marginal or minor discourse. Small talk is a means by which we negotiate interpersonal relationships. This is a crucial function with significant implications for ongoing and future interactions.”peripheral: (a.) related to the key issue but not of central importancemarginal: (a.) small in importance or amountnegotiate: (v.) discuss in order to come to an agreementCritical Thinking QuestionsSome experts say only thirty percent of communication comes from talking. Do you think this conclusion is believable? Why or why not? (para.1)Have you ever been in a situation where words just fail you in a communication? What was itlike? What might be the possible reasons? (para.1)2 Nicholas Epley, a professor of behavioral science at the University of Chicago, takes Coupland’s definition a step further. He agrees with Aristotle’s famous argument that “man is by nature a social animal.” He observed that feeling socially connected increases happiness and health, whereas feeling disconnected makes one feel depressed and unhealthy. Epley writes, “People can begin to improve their own well-being and that of others–by being more sociable with strangers and by trying to create connection s instead of isolation.”Critical Thinking Questions:What is small talk?Where does small talk happen?What’ the point of having small talk?a. Do you agree that man is by nature a social animal? Why or why not?b. Why does social connection increase happiness? Why does disconnection bringabout depression?Being sociable with strangers helps improve well-being, but not many people in China today would like to move their step out. What are their concerns? (para.2)3 Epley conducted a study withdaily commuters on the Chicago metro railroad line and reported these results in an article for the Chicago Tribune . “Commuters asked to interact with other passengers reported having the most pleasant commute. Commuters asked to enjoy their solitude reported the least pleasant commute. We found the same results among both introverts and extroverts .”conduct: (n. & v.) control, manageintrovert: (n. psychology) a person who tends to shrink from social contacts and to becomepreoccupied with their own thoughtsextrovert: (n. psychology) a person concerned more with practical realities than with inner thoughtsand feelingsCritical Thinking Questions :Do you have the courage to start a conversation with a stranger in a means of transportation or on the street? Why or why not? (para.3)Do you like to make friends with introverts or extroverts? (para.3)1. Small talk helps to calm and center us .4. It is very common for many of us to feel uncomfortable or nervous in a social situation. Whether we admit to it or not, everyone fears the possibility of rejection. These fears can cause sweaty palms and make us feel tongue-tied if we try to speak. But through small talk we have a way to overcome these self-imposed limitations and insecurities . By shifting the focus from ourselves to others, we can transform our anxious self-talk from “I never know what to say” to “What I can do is to say hello and show int erest in another person.”Critical Thinking QuestionsDoes everyone fear the possibility of rejection? Are there any solutions? (para.4)How much fear are self-imposed according to you understanding? (para.4)How to show interest in other people in a social interaction? (para. 4)a. Is it natural for us to feel nervous in a social situation?b. Why do people impose limitations and insecurities on themselves?c. How to help a shy person to start small talk?a. What are the qualities needed to have connections among people?b. Is the first impression reliable in personal relationship?c. How do you understand the proverb “The tongue is the rudder ofthe ship ”?2. Small talk provides essential of connection .5. We all have an intrinsic need to not only be seen, but also to be heard. It’s this dual recognition that fosters the respect, harmony, and togetherness that we need to build our relationships. Small talk has the power to open the door of interaction and invite another person into a reciprocal exchange in a non-threatening and welcoming manner. Light and casual conversation is an easy way to let others know we are approachable, friendly, and interested. When we offer a light-hearted comment or ask or answer simple questions, we let the other people know that we are receptive and willing to communicate.intrinsic: (a.)belonging naturally; existing within, not coming from outsidedual: (a.) having two parts or aspects; doublereciprocal: (a) given and received in return; mutual6. Small talk brings us into the present moment with one another. Those first few minutes of contact can form a positive first impression that ignites a desire to know more about each other. A few words of care can bring us together. This can occur by, for example, simply saying “Bless You” when a stranger sneezes or asking “How are you feeling today?” to a co-worker recovering from an illness.ignite: (v.) arouse feelings and passions7. As the proverb states, “The tongue is the rudder of the ship.” Our words of salutation and connection can turn a solitary experience into a shared one, steering us away from loneliness and onward to greater connection.Critical Thinking QuestionsCan you give some examples of human being’s intrinsic need to be seen and heard? (para.5)Do you think feeling understood is even more important than feeling loved? (para.5)What are the qualities needed to have connections among people? (para.5)Why do we need dual recognition in building our relationships? (para.5)Do you think the first impressions about strangers are superficial, misleading or reliable? (para.5)How long do you need to form an assessment of someone’s face? What could be inferred? (para.5)What is a threatening manner in an interaction? (para.5)Would you let others know you are approachable and friendly? Why or why not? If not, what concerns do you have? (para.6)How do you understand the proverb “The tongue is the rudder of the ship”? (para.7)a. Is it easy to make transitions between different roles?b. Could the examples of physician and business meeting alwaysachieve the expected result? Why or why not?3. Small talk makes transitions easier.8. Small talk allows us to move more easily between our various roles, be they personal or professional. Small gestures such as greeting one another in a cordial and warm manner prior to a medical procedure or a difficult work project help immeasurably us to ease into the process or task ahead.* be they personal or professional= no matter what roles they should be, personal or professional9. A physician’s friendly greeting and inquiry about the patient’s family or a favorite sports team prior to an examinati on can soothe a patient’s anxieties. This indispensable small talk helps to strengthen the therapeutic relationship. It contributes greatly to the familiarity and trust that form the launching pad for further cooperative treatment .indispensable: (a.) absolutely necessarytherapeutic: (a.) relating to or involved in therapyCritical Thinking QuestionsHow many roles are you play all together? Which one is the most important one? (para. 8)Is it beneficial for a patient to have small talk with his/her doctor? (para. 9)Why is trust important in any cooperation? (para. 9)10. At the end of a business meeting, engaging in small talk can bring a gentle and appreciative closure. Following a heated debate or argument, small talk can break the ice, helping us to return to a more neutral exchange. It can provide a welcome respite from the stress of accumulated tensions and still unresolved issues. “I know we have more to discuss, but I could use something to drink. Would you like something? Maybe we could try that new tea we bought yesterday.”respite: (n) a temporary reliefCritical Thinking QuestionsIs it common to have argument and debate in a business meeting? What is the possible reasons? (para. 10) How to use small talk to respite from the tension of a business negotiation? (para. 10)a. Why do people need the opportunity to give small talk?b. Some people would like to do charitable work silently. What is theirconsideration?4. Small talk offers an opportunity to give.11. There are many books, coaches and seminars these days promoting small talk as a skill to be learned in order to turn encounters into opportunities to create unforgettable impressions. While small talk can be used to achieve a specific goal, it also provides an additional opportunity to give, share, and connect to another human being. By taking a risk to start up a conversation with another, we are drawn out of our own cubicles and our solitary habits. We demonstrate our willingness to connect. In her book Words to Live By, Mother Teresa of Calcutta calls out the tendency we have to isolate ourselves and exclude others. She cautions, “We draw the circle of our family too small.”Critical Thinking QuestionsIs it easy to turn encounters into opportunities? Is necessary to master this skill? (para. 11)Are you planning to practice giving and sharing? If not, when is the appropriate timing? (para. 11)Why and how should we draw a big circle of family? (para. 11)12.Thus, it turns out that small talk is not so small after all. We can share and receive huge dividends of goodwill and connection by allowing small talk to prove to us its myriad benefits. It’s encouraging and hopeful to realize that, at any given moment, we may be only a few sentences away from shortening our distance from another person.dividend: (n.) share of profits paid to shareholders; a bonusmyriad: (a.) too numerous to be countedCritical Thinking QuestionsWould you please raise five questions to start a small talk? (para. 12)Could you use 3 words to summarize the benefits of small talk in social interactions? (para. 12)Essay Writing:Small Talk isn’t Small。
Definitions and Properties of the Join and Meet of Subsets 1
JOURNAL OF FORMALIZED MATHEMATICSV olume 8,Released 1996,Published 2003Inst.of Computer Science,Univ.of BiałystokDefinitions and Properties of the Join and Meet of Subsets 1Artur Korniłowicz Institute of Mathematics Warsaw University Białystok Summary.This paper is the continuation of formalization of [4].The definitions ofmeet and join of subsets of relational structures are introduced.The properties of these notionsare proved.MML Identifier:YELLOW_4.WWW:/JFM/Vol8/yellow_4.htmlThe articles [8],[10],[7],[1],[2],[9],[5],[3],and [6]provide the notation and terminology for this paper.1.P RELIMINARIES One can prove the following propositions:(1)Let L be a relational structure,X be a set,and a be an element of L .If a ∈X and sup X exists in L ,then a ≤ L X .(2)Let L be a relational structure,X be a set,and a be an element of L .If a ∈X and inf X exists in L ,then − L X ≤a .Let L be a relational structure and let A ,B be subsets of L .We say that A is finer than B if and only if:(Def.1)For every element a of L such that a ∈A there exists an element b of L such that b ∈B anda ≤b .We say that B is coarser than A if and only if:(Def.2)For every element b of L such that b ∈B there exists an element a of L such that a ∈A anda ≤b .Let L be a non empty reflexive relational structure and let A ,B be subsets of L .Let us note that the predicate A is finer than B is reflexive.Let us note that the predicate B is coarser than A is reflexive.The following propositions are true:(3)For every relational structure L and for every subset B of L holds /0L is finer than B .1This work was partially supported by Office of Naval Research Grant N00014-95-1-1336.1cAssociation of Mizar Users(4)Let L be a transitive relational structure and A,B,C be subsets of L.If A isfiner than B andB isfiner than C,then A isfiner than C.(5)For every relational structure L and for all subsets A,B of L such that B isfiner than A andA is lower holds B⊆A.(6)For every relational structure L and for every subset A of L holds/0L is coarser than A.(7)Let L be a transitive relational structure and A,B,C be subsets of L.If C is coarser than Band B is coarser than A,then C is coarser than A.(8)Let L be a relational structure and A,B be subsets of L.If A is coarser than B and B isupper,then A⊆B.2.T HE J OIN OF S UBSETSLet L be a non empty relational structure and let D1,D2be subsets of L.The functor D1 D2yields a subset of L and is defined as follows:(Def.3)D1 D2={x y;x ranges over elements of L,y ranges over elements of L:x∈D1∧y∈D2}.Let L be an antisymmetric relational structure with l.u.b.’s and let D1,D2be subsets of L.Let us note that the functor D1 D2is commutative.The following propositions are true:(9)For every non empty relational structure L and for every subset X of L holds X /0L=/0.(10)Let L be a non empty relational structure,X,Y be subsets of L,and x,y be elements of L.If x∈X and y∈Y,then x y∈X Y.(11)Let L be an antisymmetric relational structure with l.u.b.’s,A be a subset of L,and B be anon empty subset of L.Then A isfiner than A B.(12)For every antisymmetric relational structure L with l.u.b.’s and for all subsets A,B of Lholds A B is coarser than A.(13)For every antisymmetric reflexive relational structure L with l.u.b.’s and for every subset Aof L holds A⊆A A.(14)Let L be an antisymmetric transitive relational structure with l.u.b.’s and D1,D2,D3besubsets of L.Then(D1 D2) D3=D1 (D2 D3).Let L be a non empty relational structure and let D1,D2be non empty subsets of L.Observe that D1 D2is non empty.Let L be a transitive antisymmetric relational structure with l.u.b.’s and let D1,D2be directed subsets of L.Observe that D1 D2is directed.Let L be a transitive antisymmetric relational structure with l.u.b.’s and let D1,D2befiltered subsets of L.Observe that D1 D2isfiltered.Let L be a poset with l.u.b.’s and let D1,D2be upper subsets of L.Observe that D1 D2is upper.The following propositions are true:(15)Let L be a non empty relational structure,Y be a subset of L,and x be an element of L.Then{x} Y={x y;y ranges over elements of L:y∈Y}.(16)For every non empty relational structure L and for all subsets A,B,C of L holds A (B∪C)=(A B)∪(A C).(17)Let L be an antisymmetric reflexive relational structure with l.u.b.’s and A,B,C be subsetsof L.Then A∪(B C)⊆(A∪B) (A∪C).(18)Let L be an antisymmetric relational structure with l.u.b.’s,A be an upper subset of L ,andB ,C be subsets of L .Then (A ∪B ) (A ∪C )⊆A ∪(B C ).(19)For every non empty relational structure L and for all elements x ,y of L holds {x } {y }={x y }.(20)For every non empty relational structure L and for all elements x ,y ,z of L holds {x }{y ,z }={x y ,x z }.(21)For every non empty relational structure L and for all subsets X 1,X 2,Y 1,Y 2of L such thatX 1⊆Y 1and X 2⊆Y 2holds X 1 X 2⊆Y 1 Y 2.(22)Let L be a reflexive antisymmetric relational structure with l.u.b.’s,D be a subset of L ,andx be an element of L .If x ≤D ,then {x } D =D .(23)Let L be an antisymmetric relational structure with l.u.b.’s,D be a subset of L ,and x be anelement of L .Then x ≤{x } D .(24)Let L be a poset with l.u.b.’s,X be a subset of L ,and x be an element of L .If inf {x } Xexists in L and inf X exists in L ,then x inf X ≤inf ({x } X ).(25)Let L be a complete transitive antisymmetric non empty relational structure,A be a subsetof L ,and B be a non empty subset of L .Then A ≤sup (A B ).(26)Let L be a transitive antisymmetric relational structure with l.u.b.’s,a ,b be elements of L ,and A ,B be subsets of L .If a ≤A and b ≤B ,then a b ≤A B .(27)Let L be a transitive antisymmetric relational structure with l.u.b.’s,a ,b be elements of L ,and A ,B be subsets of L .If a ≥A and b ≥B ,then a b ≥A B .(28)For every complete non empty poset L and for all non empty subsets A ,B of L holdssup (A B )=sup A sup B .(29)Let L be an antisymmetric relational structure with l.u.b.’s,X be a subset of L ,and Y be anon empty subset of L .Then X ⊆↓(X Y ).(30)Let L be a poset with l.u.b.’s,x ,y be elements of Ids (L ),⊆ ,and X ,Y be subsets of L .Ifx =X and y =Y ,then x y =↓(X Y ).(31)Let L be a non empty relational structure and D be a subset of [:L ,L :].Then{X ;X ranges over subsets of L : x :element of L (X ={x } π2(D )∧x ∈π1(D ))}=π1(D ) π2(D ).(32)Let L be a transitive antisymmetric relational structure with l.u.b.’s and D 1,D 2be subsetsof L .Then ↓(↓D 1 ↓D 2)⊆↓(D 1 D 2).(33)For every poset L with l.u.b.’s and for all subsets D 1,D 2of L holds ↓(↓D 1 ↓D 2)=↓(D 1D 2).(34)Let L be a transitive antisymmetric relational structure with l.u.b.’s and D 1,D 2be subsetsof L .Then ↑(↑D 1 ↑D 2)⊆↑(D 1 D 2).(35)For every poset L with l.u.b.’s and for all subsets D 1,D 2of L holds ↑(↑D 1 ↑D 2)=↑(D 1D 2).3.T HE M EET OF S UBSETS Let L be a non empty relational structure and let D 1,D 2be subsets of L .The functor D 1 D 2yielding a subset of L is defined by:(Def.4)D 1 D 2={x y ;x ranges over elements of L ,y ranges over elements of L :x ∈D 1∧y ∈D 2}.Let L be an antisymmetric relational structure with g.l.b.’s and let D1,D2be subsets of L.Let us notice that the functor D1 D2is commutative.One can prove the following propositions:(36)For every non empty relational structure L and for every subset X of L holds X /0L=/0.(37)Let L be a non empty relational structure,X,Y be subsets of L,and x,y be elements of L.If x∈X and y∈Y,then x y∈X Y.(38)Let L be an antisymmetric relational structure with g.l.b.’s,A be a subset of L,and B be anon empty subset of L.Then A is coarser than A B.(39)For every antisymmetric relational structure L with g.l.b.’s and for all subsets A,B of Lholds A B isfiner than A.(40)For every antisymmetric reflexive relational structure L with g.l.b.’s and for every subset Aof L holds A⊆A A.(41)Let L be an antisymmetric transitive relational structure with g.l.b.’s and D1,D2,D3besubsets of L.Then(D1 D2) D3=D1 (D2 D3).Let L be a non empty relational structure and let D1,D2be non empty subsets of L.One can check that D1 D2is non empty.Let L be a transitive antisymmetric relational structure with g.l.b.’s and let D1,D2be directed subsets of L.One can check that D1 D2is directed.Let L be a transitive antisymmetric relational structure with g.l.b.’s and let D1,D2befiltered subsets of L.Note that D1 D2isfiltered.Let L be a semilattice and let D1,D2be lower subsets of L.One can check that D1 D2is lower.One can prove the following propositions:(42)Let L be a non empty relational structure,Y be a subset of L,and x be an element of L.Then{x} Y={x y;y ranges over elements of L:y∈Y}.(43)For every non empty relational structure L and for all subsets A,B,C of L holds A (B∪C)=(A B)∪(A C).(44)Let L be an antisymmetric reflexive relational structure with g.l.b.’s and A,B,C be subsetsof L.Then A∪(B C)⊆(A∪B) (A∪C).(45)Let L be an antisymmetric relational structure with g.l.b.’s,A be a lower subset of L,and B,C be subsets of L.Then(A∪B) (A∪C)⊆A∪(B C).(46)For every non empty relational structure L and for all elements x,y of L holds{x} {y}={x y}.(47)For every non empty relational structure L and for all elements x,y,z of L holds{x}{y,z}={x y,x z}.(48)For every non empty relational structure L and for all subsets X1,X2,Y1,Y2of L such thatX1⊆Y1and X2⊆Y2holds X1 X2⊆Y1 Y2.(49)For every antisymmetric reflexive relational structure L with g.l.b.’s and for all subsets A,B of L holds A∩B⊆A B.(50)Let L be an antisymmetric reflexive relational structure with g.l.b.’s and A,B be lowersubsets of L.Then A B=A∩B.(51)Let L be a reflexive antisymmetric relational structure with g.l.b.’s,D be a subset of L,andx be an element of L.If x≥D,then{x} D=D.(52)Let L be an antisymmetric relational structure with g.l.b.’s,D be a subset of L,and x be anelement of L.Then{x} D≤x.(53)Let L be a semilattice,X be a subset of L ,and x be an element of L .If sup {x } X exists inL and sup X exists in L ,then sup ({x } X )≤x sup X .(54)Let L be a complete transitive antisymmetric non empty relational structure,A be a subsetof L ,and B be a non empty subset of L .Then A ≥inf (A B ).(55)Let L be a transitive antisymmetric relational structure with g.l.b.’s,a ,b be elements of L ,and A ,B be subsets of L .If a ≤A and b ≤B ,then a b ≤A B .(56)Let L be a transitive antisymmetric relational structure with g.l.b.’s,a ,b be elements of L ,and A ,B be subsets of L .If a ≥A and b ≥B ,then a b ≥A B .(57)For every complete non empty poset L and for all non empty subsets A ,B of L holdsinf (A B )=inf A inf B .(58)Let L be a semilattice,x ,y be elements of Ids (L ),⊆ ,and x 1,y 1be subsets of L .If x =x 1and y =y 1,then x y =x 1 y 1.(59)Let L be an antisymmetric relational structure with g.l.b.’s,X be a subset of L ,and Y be anon empty subset of L .Then X ⊆↑(X Y ).(60)Let L be a non empty relational structure and D be a subset of [:L ,L :].Then{X ;X ranges over subsets of L : x :element of L (X ={x } π2(D )∧x ∈π1(D ))}=π1(D ) π2(D ).(61)Let L be a transitive antisymmetric relational structure with g.l.b.’s and D 1,D 2be subsetsof L .Then ↓(↓D 1 ↓D 2)⊆↓(D 1 D 2).(62)For every semilattice L and for all subsets D 1,D 2of L holds ↓(↓D 1 ↓D 2)=↓(D 1 D 2).(63)Let L be a transitive antisymmetric relational structure with g.l.b.’s and D 1,D 2be subsetsof L .Then ↑(↑D 1 ↑D 2)⊆↑(D 1 D 2).(64)For every semilattice L and for all subsets D 1,D 2of L holds ↑(↑D 1 ↑D 2)=↑(D 1 D 2).R EFERENCES[1]Grzegorz plete lattices.Journal of Formalized Mathematics ,4,1992./JFM/Vol4/lattice3.html .[2]Grzegorz Bancerek.Bounds in posets and relational substructures.Journal of Formalized Mathematics ,8,1996./JFM/Vol8/yellow_0.html .[3]Grzegorz Bancerek.Directed sets,nets,ideals,filters,and maps.Journal of Formalized Mathematics ,8,1996./JFM/Vol8/waybel_0.html .[4]G.Gierz,K.H.Hofmann,K.Keimel,wson,M.Mislove,and D.S.Scott.A Compendium of Continuous Lattices .Springer-Verlag,Berlin,Heidelberg,New York,1980.[5]Adam Grabowski and Robert Milewski.Boolean posets,posets under inclusion and products of relational structures.Journal ofFormalized Mathematics ,8,1996./JFM/Vol8/yellow_1.html .[6]Artur Korniłowicz.Cartesian products of relations and relational structures.Journal of Formalized Mathematics ,8,1996.http:///JFM/Vol8/yellow_3.html .[7]Beata Padlewska and Agata Darmochwał.Topological spaces and continuous functions.Journal of Formalized Mathematics ,1,1989./JFM/Vol1/pre_topc.html .[8]Andrzej Trybulec.Tarski Grothendieck set theory.Journal of Formalized Mathematics ,Axiomatics,1989./JFM/Axiomatics/tarski.html .[9]Wojciech A.Trybulec.Partially ordered sets.Journal of Formalized Mathematics ,1,1989./JFM/Vol1/orders_1.html .[10]Zinaida Trybulec.Properties of subsets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/subset_1.html.Received September25,1996Published January2,2004。
Complete reducibility of systems of equations with respect to
1
1.1
Introduction
Framework
Since the 1960’s, the theory of finite semigroups has drawn a strong motivation from applications in computer science, namely as a natural algebraic framework for classifying combinatorial phenomena described through finite automata, rational languages, or various kinds of logical formalisms [30, 31, 40, 41, 51]. A central question in problems arising from such applications is to determine effectively whether a given finite semigroup belongs to a fixed pseudovariety (that is a class closed under taking homomorphic images, subsemigroups, and finite direct products) or to show that there is no algorithm that solves the membership problem for the pseudovariety. Pseudovarieties are often defined by describing a set of generators, which are usually constructed by applying some natural algebraic construction to members of given pseudovarieties. Thus, for two given pseudovarieties U and V, the central problem translates into solving the membership problem for their join U ∨ V, their semidirect or wreath product U ∗ V, their bilateral semidirect or block product U V, their Mal’cev product U m V, or the power P V. While there is no hope for a universal solution of this type of problem, as it has been shown that none of these operators preserves decidability of the membership problem [1, 46, 47, 23], in many particular cases the problem can be solved by exploring special structural features of the semigroups involved.
Exceptional surgery curves in triangulated 3-manifolds
MARC LACKENBY
arXiv:math/9907093v1 [math.GT] 14 Jul 1999
Abstract
For the purposes of a curve K in a 3-manifold M with slope σ is ‘exceptional’ if the resulting 3-manifold MK (σ ) is reducible or a solid torus, or the core of the surgery solid torus has finite order in π1 (MK (σ )). We show that, providing the exterior of K is irreducible and atoroidal, and the distance between
1. Introduction Consider the following motivating problem from knot theory. Let L be a nontrivial knot in S 3 . If K is an unknotted curve disjoint from L, then Dehn surgery along K with slope 1/q has the effect of adding |q | full twists to L, yielding a knot L′ , say. (See Figure 1.2.) Suppose that L′ is the unknot, or (more generally) that L′ has smaller genus than that of L. Then, for a given knot L, are there only a finitely many possibilities for q and K (up to ambient isotopy keeping L fixed)? The following theorem deals with this question. Theorem 1.1. Let L be a knot in S 3 which is not a non-trivial satellite knot. Let K be an unknotted curve in S 3 , disjoint from L and having zero linking number with L. Let q be an integer with |q | > 1. Suppose that 1/q surgery about K yields a knot L′ with genus(L′ ) < genus(L). Then, for a given knot L, there are only finitely many possibilities for K and q up to ambient isotopy keeping L fixed, and there is an algorithm to find them all. 1
英汉翻译智慧树知到期末考试章节课后题库2024年湖北工程学院
英汉翻译智慧树知到期末考试答案章节题库2024年湖北工程学院1.Thorough comprehension is the precondition of accurate expression.()答案:对2. A topic can be a word, a phrase, a clause or several clauses.()答案:对3.Chinese prefers to use concrete or noun words and employs a "down-to-earth" style, expressing abstract ideas often by metaphors, similes and so on.()答案:错4.According to the theory of Text Typology proposed by Peter Newmark,tourism text belongs to informative and vocative text()答案:对5.By amplification, we mean supplying necessary words in our translationwork to make the version correct and clear. ()答案:对6.Literal translation and free translation, however, both of them are relativeconcepts. ()答案:对7.In C-E translation, the meticulous descriptive words are often ignored whilethe main words are translated.()答案:对8.Conversion means that in translation a word in one language belonging to acertain parts of speech is not necessarily to be turned into one of the samepart of speech in another language. ()答案:对9.To avoid repetition, English often employs substitution, ellipsis, variation andsome other devices. ()答案:对10.While analyzing the structure of long sentences, the translator only needs tofigure out the general grammatical structures. ()答案:错11.The logical relationship between English sentences reflects by conjunctions,prepositions, adverbs, participles and infinitives, it pays attention to clearand rigorous logical relations between sentences, and has a closer structure.()答案:对12.In E-C translation, we can change the English passive structures into Chineseactive structures by using the following tips . ()答案:Changing the original subject into object###Adding a propersubject to the Chinese sentence.###Us ing the “Link-verb-and-predicative Structures” and judgments###Adding referential words to the Chinese sentence.13.昨天晚上我们玩的很愉快。
A complete classification of the complexity of propositional abduction
1
2
ห้องสมุดไป่ตู้
N. CREIGNOU AND B. ZANUTTINI
abduction problem. Another application is configuration [1], and still another one is text interpretation [16]. Abduction has also been studied with temporal knowledge bases [4]. Closer to the reasoning processes themselves, abduction is a fundamental part of the CMS/ATMS [24], and it has many relations with default reasoning [26]. From a complexity-theoretic point of view, abduction is in general very hard, since in its full generality propositional abduction as a decision problem is ΣP 2 -complete; that is to say, it is at the second level of the polynomial hierarchy. However many restrictions on the syntactic form of the knowledge base have been identified that make the problem easier, even polynomial for some of them: 2CNF and monotone knowledge bases (see, e.g., [20]), definite Horn CNF [26, 11] and affine [28] bases, CNF bases with unit-refutable pseudo-completion [14] or with bounded kernel width [10], Horn bases given by their characteristic models [19] and some classes of DNF bases [28]. Among those restrictions some impose local properties to the knowledge bases, such as being in definite Horn CNF, and some impose global properties, such as being in Hornrenamable DNF or having a unit-refutable pseudo-completion. Our work takes place in the framework of propositional classes of formulas defined by local properties. More precisely, we investigate the computational complexity of propositional abduction in Schaefer’s framework. This now famous framework consists in considering propositional formulas in generalized conjunctive form. These formulas are conjunctions of constraints built over a fixed finite set L of Boolean relations. In his seminal paper [25], Schaefer studied the computational complexity of the satisfiability problem in this setting, sat(L), and established a dichotomy theorem which asserts that for each finite set of relations L, sat(L) is either NP-complete or in P. In a nutshell, Schaefer’s dichotomy theorem asserts that there are exactly four (nontrivial) polynomial time cases of sat(L): every relation in L is bijunctive; every relation in L is Horn; every relation in L is dual Horn; every relation in L is affine. Moreover, this dichotomy is polynomial-time decidable, that is, there is a polynomial time algorithm that, given a finite set of Boolean relations L, decides whether sat(L) is NP-complete or in P. Our main contribution is a trichotomy theorem for the computational complexity of propositional abduction (seen as a decision problem) in Schaefer’s framework. We consider that hypotheses are the terms formed upon a given set of variables, and that queries are given by a single positive literal. In this framework, we prove that depending on the set of relations L the abduction problem is either polynomial or NP-complete or ΣP 2 -complete. More precisely, we show that the abduction problem with positive queries is: polynomial-time solvable if every relation in the language is bijunctive, affine, definite Horn, IHS-B − or IHS-B +1 ; otherwise, NP-complete if the language is Horn or dual Horn; and finally, ΣP 2 -complete in every other case. The first essential difference from Schaefer’s dichotomy theorem is that, unlike the satisfiability problem, the abduction problem for Horn relations and for dual Horn relations need not to be in P. Instead, the abduction problem is in P for certain classes of Horn relations (namely definite Horn, IHS-B −) and for certain classes of dual Horn relations (namely IHS-B +), while it is NP-complete for all other classes of Horn relations and all other classes of dual Horn relations. Furthermore, the abduction problem is ΣP 2 -complete for every finite set of relations for which the satisfiability is NP-complete. From this result we derive two additional trichotomy results by considering the variants of abduction in which the query to be explained is a negative literal, or an
拓扑特征与措施的不确定性以及两个普通集的粗略相等(IJISA-V5-N2-2)
Topological Characterization, Measures of Uncertainty and Rough Equality of Sets on Two Universal Sets
D. P. Acharjya, B. K. Tripathy School of Computing Science & Engineering, VIT University, Vellore, TamilNadu, India Email:dpacharjya@; tripathybk@ Abstract— The notion of rough set captures indiscernibility of elements in a set. But, in many real life situations, an information system establishes the relation between different universes. This gave the extension of rough set on single universal set to rough set on two universal sets. In this paper, we introduce rough equality of sets on two universal sets and rough inclusion of sets employing the notion of the lower and upper approximation. Also, we establish some basic properties that refer to our knowledge about the universes. Index Terms— Rough Set, Solitary Set, Boolean Matrix, Rough Equality, Rough Inclusion [17], coverings [18], Boolean algebras [19, 20], fuzzy lattices [21], and completely distributive lattices [22]. On the other hand, rough set is generalized to fuzzy environment such as fuzzy rough set [23], and rough fuzzy set [24]. Further, the indiscernibility relation is generalized to almost indiscernibility relation to study many real life problems. The concept of rough set on fuzzy approximation spaces based on fuzzy proximity relation is studied by Acharjya and Tripathy [25, 26]. Further it is generalized to intuitionistic fuzzy proximity relation, and the concept of rough set on intuitionistic fuzzy approximation space is studied by Tripathy [27]. The different applications are also studied by the authors [28, 29, 30]. Further rough set of Pawlak is generalized to rough set on two universal sets with generalized approximation spaces and interval structure [31]. We continue a further study in the same direction. The rest of the paper is organized as follows: Section 2 presents the foundations of rough set based on two universal sets and its topological characterization. In Section 3, we study the measures of uncertainty due to rough sets on two universal sets. Rough equality of sets on two universal sets and its properties are studied in Section 4. In Section 5, we introduce rough inclusion of sets on two universal sets. This is further followed by a conclusion in Section 6.
Composition theorem for generalized sum
Composition Theorem for Generalized SumAlexander RabinovichDept.of CS,Tel Aviv Universityrabino@math.tau.ac.il,September19,20011IntroductionComposition Theorems are tools which reduce sentences about some compound structure to sentences about its parts.A seminal example of such a result is the Feferman-Vaught Theorem[2]which reduces thefirst-order theory of generalized products to thefirst order theory of its factors and the monadic second-order theory of index structure.Shelah[19]defined the notion of generalized sum and stated the composition theorem which reduces the monadic second-order theory of the generalized sum to the monadic second-order theories of the summands and of the index structures.An important example of generalized sums is the ordinal sum of linearly ordered sets.In[19] the composition theorem for linear orders was one of the main tools for obtaining very strong decidability result for the monadic theory of linear orders.Shelah[19]hinted that the composition theorem for generalized sums can be obtained by Ehrenfeucht-Fraiss´e games.Gurevich in[4]proved afinite version of Feferman-Vaught composition theorem and then derived the composition theorem for linear orders.In[6]several composition theorems for monadic-second order logic over trees were given and were used to show undefinability of choice functions and the failure of uniformization in the monadic theory of the binary tree.The composition theorems for linear orders and trees were used in[4,6,7,8,9,10,14,15].The composition theorem for linear orders was described in a survey exposition by Gurevich[5]and Thomas[22];it was illustrated there for the decidability of monadic logic of order,as an alternative to the automata-theoretic approach popularized by B¨u chi.The composition method,despite its success,is largely ignored by the theoretical computer science community.W.Thomas surveys in[22]Shelah’s composition theorem for linear orders and writes:“Although the subject was exposed in Gurevich’s concise survey [5],it did not attract much attention among theoretical computer scientists.Preference was(and is still)given to automata theoretic method...because it does not involve frightening logical technicalities as onefinds them in [19].Thus there is a tendency that the merits of model theoretic approach are overlooked.This is unfortunate, because it excludes some interesting applications.”There is no doubt that many applications of this method can be found infinite model theory and descriptive complexity,because(1)the composition methods are among few fundamental theorems which are valid onfinite models;(2)many constructions in descriptive complexity are based on assembling a model from components(see e.g.,Immerman[12])andfirst-order reductions.The main technical contribution of our paper is(1)a definition of a generalized sum of structure and(2)a composition theorem forfirst-order logic over the generalized sum.After this work had been completed,Saharon Shelah pointed to us that the generalized sum is a degenerate case of the distorted sum construct[20].Moreover,a variant of the composition theorem for the generalized sum was stated without proof(and with some misprints)as Theorem5.3of[20].Consequently,our paper can be considered as an explanation of this degenerate case of the distorted sum.The paper is organized as follows.Section2-Preliminaries.The notion of the generalized sum is very natural. However,it requires a considerable amount of notations.In Section3we present two generic examples which are instances of the generalized sum.Then explains the generalized sum construct and illustrates it by many examples. Section4provides the composition theorem forfirst-order logic.Section5contains consequences of the com-position theorem.In Section6we illustrate applications of the composition theorem to definability and replace sometimes tricky game(or inductive)arguments by transparent reductions.Our paper aims at popularizing Com-position Theorems.Therefore,Section7discusses the Feferman-Vaught[2]composition theorem for generalized product,explains Shelah’s definition of generalized sum[19]and the Shelah composition theorem for monadic second-order logic.2PreliminariesIn this section we present the definitions and notations used throughout the paper.All the languages considered here are eitherfirst-order or monadic second-order.We assume that our languages contain as logical symbols: equality,True and False with their standard interpretations.To specify a logical language in the paper,we need only to give its set of relational and functional symbols and their arity(the signature of the language)and indicate whether the logic isfirst-order or monadic second-order.No restriction on the cardinality of the signature is assumed.However,if not stated otherwise,we assume that the signatures do not contain functional symbols. We use forfirst-order variables.Often we consider several languages.In such cases we will use asfirst-order variables of one language and asfirst-order variables of another.We useis used for tuples of monadic predicate variables.Sometimes for the sake of readability we will be liberal about naming the variables.Afirst-order monadic extension of a language over a signature is thefirst-order language over the signature ,where are new monadic predicate symbols.As usual if is a formula we may writeto indicate that the free variables in are among and the monadic predicate names are among.For formula of thefirst-order language,the quantifier rank of(notation)is defined by the structural induction as usual.An alternation type is afinite sequence of positive natural numbers.We define below when a formula has an alternation type.However,unlike the quantifier rank,a formula has many alternation types.1.If is an alternation type and is atomic then is an alternation type of.2.If is an alternation type of and of then is an alternation type of,of and of.3.If is an alternation type of then is an alternation type of and offor.For example if is in prenex normal form with the quantifier prefix then,and are alternation types of,but is not one of its alternation type.Finally,we say that has an alternation rank if has an alternation type of length.Let be a structure for a signature.We use for the universe of and for the interpretation of the relational symbol in.However,whenever there is no confusion we will also use for the universe of; sometimes we use“”instead of“”.Let be a formula in the extension of a language by monadic predicate names .In order to check if the formula is true we need to specify which model of is intended and what are the elements in and the predicates(subsets)over which are assigned to the variables and predicate names.Hence,the notation will usually bewhich we also abbreviate toor to where the bar denotes a tuple of the appropriate length;whenever are clear from a context we even will use.3Generalized Sum3.1Generic ExamplesThe notion of a generalized sum is very natural.However,it requires a considerable amount of notations.There-fore,we start this section with two examples which are instances of the generalized sum-disjoint union of struc-tures and ordinal sum of ordered sets.Example3.1(Disjoint Union)Let be a language and let(for)be a set of disjoint structures for.The disjoint union of is the following structure for the language.The universe:.For-ary relational symbol and a tuple of elements ofiff there is such thatHence,if a tuple of elements satisfies in an atomic formula then all the elements of the tuple are in the same summand structure.Example3.2(Ordinal sum of ordered sets)Let be a structure.And letbe a set of structures with disjoint universes.The ordinal sum of over is the structure for the signature defined as follows:The universe:.if either condition(1)or condition(2)below holds1.There is such that both and are in and.2.There are such that and and.Disjoint union and ordinal sum of ordered sets are instances of the generalized sum construct.This construct will deal with-a language and a structure for;-a language and a family()of disjoint structures for and-a language for a generalized sum and a structure for.In all the cases the universe of the structure for the generalized sum of will be the union of.For each-ary relational symbol of we will define when an-tuple of elements in satisfies.In the disjoint union construct and the signature for is empty.In the ordinal sum of ordered set.However,usually the languages and might be distinct.With every relational symbol of we associate a set of conditions which specify when a tuple in satisfies.With an-tuple of elements we associate an equivalence relation on as follows: and are equivalent if and are in the same summand,i.e.,for some.The decision whether is in will depend on the distribution of among the summand structures,i.e,on the equivalence relation generated by.For example,the condition for disjoint union required that all are in the same summand and that they satisfy.In the case of ordinal sum we have two conditions:thefirst deals with the case when both and are in the same summand and the second deals with the case when and are in distinct summand;hence,in thefirst case has only one equivalence class and in the second case has two equivalence classes and.However,generally we may have a number of conditions for the same distribution of among the summand(i.e.,for the same).In the following two subsections we define the syntax and the semantics of“conditions”.Then we define rules and the generalized sum given by such rules.In section3.7we provide examples for generalized sum specified by rules.3.2Conditions-SyntaxLet and befirst-order languages.Here we define the syntax of conditions(over this pair of languages).Let be an equivalence relation on.Let be the equivalence classes of.We useof formulas for.(Note that the length of the sequence is the same as the number of equivalence classes of and the free variables of the-th formula are in the set,where is the-th equivalence class of.2.Afinite sequence of sentences,for.3.A formula in the language extended by monadic predicate symbols.(Note that the number of new monadic predicate names is the same as the number of sentences in the second part of the condition).3.3Conditions-SemanticsLet be a structure for and for let be structures for(we always assume thatare disjoint).Let be.We say that a tuplethe tuple,where is the list of all elements of the equivalence class.All elements of3.7ExamplesBelow we are going to provide several examples for the generalized sum.The equivalence relationon will appear many times in our examples.It is clear that has only one equivalence class;a tuple respects iff all its elements belong to the same summand.We denote by the equivalence relation on which has only one element equivalence classes,i.e.;a tuple respects iff and are in different summands for all.Example3.5(Disjoint Union)The signature for is empty and.The rule is as follows: For an-ary symbol and the equivalence:and True.For all other equivalences on:the corresponding formula is defined to be false.It is clear that the generalized sum of according to the above rule coincides with the standard definition of the disjoint union as given in Example3.1.Example3.6(Quotient)and the signature of is empty.The rule is as follows.For an-ary symbol and for every equivalence on only the following condition is assigned:are defined to be True and formula is defined to be.Observe that if is the sum of()according to the above rule and then if and only if.Hence,if is the equivalence relation on defined as iff for some then the quotient of by is isomorphic to.Example3.7(Universal Sum)Let(where we assume that and are disjoint and is a fresh binary predicate name).For every-ary relational symbol the conditions for will say thatiff there is such thatSuch conditions are defined as in Example3.5.For every-ary relational symbol the conditions for will say thatiff andSuch conditions are defined as in Example3.6.The conditions for will say thatiff and are in the same summandThe rule defined by the above conditions will be denoted by and it has the following universal property: Lemma3.8Let be an equivalence relation on.For every condition cond there is a formula such that for every structure for and every family of structures(for the relation definable in by is the same as the relation definable by cond.Proof Let be a formula in.Let be a formula defined as follows: (1)replace all the occurrences of in by,then(2)relativize all quantifiers over the elements in the same component as,i,e,replace“”by“”and(3)take conjunction with.It is easy to see thatiff there is such thatandIn particular if is a sentence in and is theniff there is such that andAssume that an condition cond is defined by1.A sequence of formulas.2.A sequence of sentences.3.A formula in the language extended by monadic predicate symbols. We can define as where is obtained from as follows:(1)replace all the occurrences of in by and by.(2)replacing by for.From the above properties of and the definition of generalized sum it follows that satisfies the conclusion of the lemma.As a consequence we have:Corollary3.9For every rule there is an interpetation of in.In the following examples“”is a binary relational symbol.Note that there are only two equivalence relations on,namely and.Example3.10(Lexicographical Sum)Languages,and have the same signature. The conditions are defined as followsFor the equivalence:and is defined as True.For the equivalence:and are defined to be True and is.Note that if is a linearly ordered set and()are linearly ordered sets,then their lexicographical sum is just the ordinal sum of linear orders(see Example3.2).Example3.11The languages,and have the same signature,whereis a binary relation symbol,and are unary relational symbols.Observe that is the unique equivalence on the one element set.Conditions for:For we define:as and as.Conditions for:Forwe define:as and as.Conditions for:For the equivalence:and is defined as True.For the equivalence:and and is.Let us rephrase the above conditions in words.Let be the generalized sum according to the above rule of(.Then iff is in a summand,and and.The conditions forare stated similarly.Let and.Then iff1.there is such that and or2.and and and.Example3.12(Tree Sum)The languages,and have the same signature.The con-ditions say the following:1.If and are in the same summand,then in the sum if.2.If and are in the distinct summand and then in the sum if and is aminimal element in.The conditions can be written as followsFor the equivalence:and is defined as True.For the equivalence:and True and is.Note that if is a tree(i.e.,has a unique minimal element(the root),and for every the set of elements that precedes are linearly ordered by)and()are trees then their tree sum is a tree.Example3.13(Another signature for trees)The languages,and have the same signa-ture,where is a unary predicate symbol.Conditions for:For we define:as and as.Conditions for are defined as followsFor the equivalence:and is defined as True.For the equivalence:and and is.Example3.14(Standard decomposition of Monadic predicates)The standard condition for a monadic predi-cate is defined as the condition:and True.Hence,the interpretation of a monadic predicate in a generalized sum according to this standard rule is the union of the interpretations of in the summands.Example3.15(Mazurkiewicz Traces)Let be afinite set and be a symmetric reflexive relation.is called a dependency relation.Let and be the languages over ,where are monadic predicate symbols and.The conditions for the monadic predicates are standard(see Example3.14).The conditions for are defined as follows:For the equivalence:and is defined as True.For the equivalence we have a condition for every sequence of length at most(=size of)such that:and are defined as Trueare defined as for andis defined as.4Composition theorem for First-Order LogicThe composition theorem expresses a fundamental property of thefirst-order language:if every atomic relation in is expressed by afinite set of conditions,then for every formula in the relation definable by is also definable by afinite set of conditions.The full statement of the theorem is as follows:Theorem4.1(Composition Theorem forfirst-order logic)For every ruleand a formula(with free variables)in there is afinite set of-ary conditions such that for every structure for and every family of structures(for the relation definable in by is the same as the relation definable in by.Moreover,is computable from and. In addition,the structure of formulas“faithfully”reflects the structure of,in particular if every formula of that appears in is quantifier free,then1.All the formulas in have the quantifier rank bounded by the quantifier rank of.2.If has at most distinct names of the bound variables then every formula of has at mostdistinct names of the bound variables.3.If has an alternation type then all the formulas of in have the alternation type.4.If every formula that appears in is quantifier free then the properties obtained from(1)-(3)abovethrough the replacement of“”by“”hold.The proof will be given in the next subsection.It proceeds by structural induction on formulas.The proof is not difficult,and we advice to skip it on thefirst reading.Remark4.2(About Faithfulness of Representation)In the composition theorem we stated that the set of con-ditions reflects faithfully formula in the case when assigns to the relations quantifier free conditions. However,the analog of this holds in a more general situation.For example,assume that assigns conditionswhich use formulas of quantifier rank at most(respectively,use bounded variables from a set,or use formu-las only of alternation type).Then formulas in have quantifier rank bounded by (respectively,in addition to the variables of may use only variables from,or have alternation type,where is an alternation type of and is concatenation of sequences).The proof of the composition theorem also implies that if is a boolean combination of formulasthen the formulas that appear in are boolean combinations of the formulas that appearin().A similar observation holds for formulas.Recall that a positive closure of a set of formulas is the minimal set of formulas which contains and isclosed under.The proof of the composition theorem implies that if is in the positive closure of a setof formulas then the(respectively)formulas that appear in are in the positive closure of the(respectively)formulas that appear in(.4.1Proof of the Composition TheoremThe proof is based on Lemmas4.3-4.9given below.Throughout this section we will use the same notations as in ly,is an equivalence relation on;are the equivalence classes of.We useLemma4.4(Conjunction)Let be an equivalence relation on.For conditions cond and cond there is an condition cond such that for every structure for and every family of structures(for and every-tuple over the following holds:satisfies cond if and only if satisfies cond and satisfies cond.Proof Assume that cond is defined by1.A sequence of formulas.2.A sequence of sentences.3.A formula in the language extended by monadic predicate symbols.and that cond is defined by1.A sequence of formulas.2.A sequence of sentences.3.A formula in the language extended by monadic predicate symbols.For define sentencesforforLet be obtained from through replacement of by(for)The desirable condition cond can be defined by1.The sequence of of formulas.2.The sequence of sentences.3.The formula in the language extended by monadic predicate symbols.Remark4.5Observe that the formulas which appear in the condition cond constructed in Lemma4.4are boolean combination of the formulas that appear in cond and cond.In particular,if all the formulas in cond and cond have the quantifier rank bounded by(or alternation type)then all the formulasin cond have the quantifier rank bounded by(respectively alternation type).The same remark applies for formulas as well for the conditions constructed for the complementation in Lemma4.3and the conditions constructed for renaming and cylindrifications in Lemmas4.6-4.7below.The following two lemmas are immediate.Lemma4.6(Renaming)Let be an equivalence relation on and let be a permutation of. For every condition cond there is a condition cond such that for every structure for and every familyof structures(for and every-tuple over the following holds:satisfies cond if and only if satisfies cond.Lemma4.7(Cylindrification)Let be an equivalence relation on.For an condition cond thereis a set of-ary conditions such that for every structure for and every family of structures(the relation definable in by is the cylindrification of the relation definable by cond i.e.,iff.Lemma4.8(Quantification)Let be an equivalence relation on and let cond be an condition. Let be the restriction of to.There is an condition cond such that for every structurefor and every family of structures(for the relation definable in by cond is the projection of the relation definable by cond,i.e.iff there is such that .Proof Assume that cond is defined by1.A sequence of formulas.2.A sequence of sentences.3.A formula in the language extended by monadic predicate symbols.Without restriction of generality assume that is the equivalence class of that contains.We consider two cases.Case1:.(This is the case when is the unique element of.)DefineasDefineasLet cond be the condition defined by1.The sequence of of formulas.2.The sequence of sentences.3..It is easy to check that this is the desirable condition.Case2:There is such that and are equivalent.(This is the case when contains at least two elements.)First,observe that and have the same number of equivalence classes.DefineasNow we are ready to prove Composition Theorem.The proof proceeds by structural induction on formulas.The case of the atomic formulas is just the definition of syntax and the semantics of conditions. Disjunction:This case follows from Lemma4.6,Lemma4.7and the definition of the relation definable by a set of condition.Conjunction:This case follows from Lemma4.4,Lemma4.6and Lemma4.7.Negation:This case follows from Lemma4.3,DeMorgan laws and two previous cases.Existential quantifier:This case follows from Lemma4.9.Universal quantifier:This case is reducible to the existential quantifier and negation.4.2Extensions of the Composition TheoremHere we explain some simple extensions and variants of the Composition theorem.First,observe that it was never assumed that the signatures of,,or arefinite.Another observation is that we can let,and contain functional and constants symbols.In this case the definitions of the syntax and the semantics of the condition is the same as before.The composition theorem will guarantee that if all formulas of a rule contain terms with nesting at most(or from a set)then the set of conditions which corresponds to formula contains only terms of nesting at most(respectively from the set).Similar conclusion holds for terms in formulas.Finally,we have assumed that has only relational symbols.One can add symbols for constants to ,however the rules for constants have to ensure that their interpretation is well defined for arbitrary index and summand structures.For example,the following rule will ensure this for constant.For every let us choose and.The symbol will be interpreted as of .More generally,assume that with every constant symbol we associate formulasand such that for every the following formulas are valid:and(here means there is a unique).Let be a structure for and let be the unique element of which satisfies. Let()be a family of structures for and let be the unique element of which satisfies .Then will be interpreted as.Theorem4.10The composition theorem holds for the extension of generalized sum by the above rules for con-stants.5Consequences of the Composition TheoremIn this section we give some simple(but important)consequences of the composition theorem.Throughout this section we will assume that assigns quantifier free conditions.Recall that structures and are elementary equivalent if they satisfy the samefirst-order sentences;they are-equivalent if they satisfy the same sentences of quantifier rank;for an alternation type structures are-equivalent if they satisfy the same sentences of alternation type;structures are equivalent if they satisfy the same sentences of alternation rank.The next Corollary is an analog of Theorems5.1and5.2from[2].Corollary5.1Let be a structure for and let and(for)be families of structures. Let and1.If for every the structures and are elementary equivalent then and are elementary equivalent.2.If for every the structures is an elementary expansion of then is an elementary expansion of.3.If for every the structures and are-equivalent then and are-equivalent.4.For every alternation type if for every the structures and are-equivalent then and are-equivalent.5.If for every the structures and are-equivalent then and are-equivalent.The following is almost an instance of the composition theorem for the case when is a sentence.Corollary5.2For every rule and every sentence there is a tuple, where is a sentence in the extension of by monadic predicate names and are sentences in such that andif and only ifwhereThis tuple of formulas is computable from and.Proof(Sketch)The composition theorem implies that there is afinite set of-ary conditions which is equivalent to.In order to prove Corollary5.2it is sufficient to show that for everyfinite set of-ary conditions there is a condition which is equivalent to.The proof of this observation is easy and is left to the reader.Let be a structure for a language.Thefirst-order theory(respectively,-theory of,and-theory of)is the set of sentences(respectively,sentences of quantifier rank,and sentences of alternation type)true in.Let be a set of structure for.Thefirst-order theory of is the set of sentences true in.Thefirst-order monadic expansion of is the set of structures for the language extended by monadic predicate names.Thefirst-order monadic expansion of a set of structures is defined similarly. Thefirst-order monadic theory of isfirst-order theory of the monadic expansion of.Assume that()are isomorphic to.We will use for.It is clear that if and are elementary equivalent then and are elementary equivalent.Theorem5.3For every sentence there are sentences in and sentencesin(these sentences are computable from and and their quantifier rank is bounded by such that iff for someandIn particular iffirst-order theories of and are decidable and isfinite,then thefirst-order theory of is decidable.Remark5.4Note that in Theorem5.3formulas are in,whereas in Corollary5.2is in the extension of by monadic predicate names.Proof(of Theorem5.3)Let be a formula.Let a tuple be as in Corollary5.2. For every define formulas and as follows:is obtained from as follows:first replace all the occurrences of“”by“True”for every .Then replace all the occurrences of“”by“False”for every.From Corollary5.2it is easy to derive that,satisfy the conclusion of Theorem5.3.Let be a set of structures for and let be a set of structures for.We denote bythe set for and of structures for.Let be the set of structuresand are subsets of for the extension of by monadic predicate names .The following is a consequence of Corollary5.2.Corollary5.5Thefirst-order theory of is recursive in thefirst-order theory of and thefirst-order monadic theory of.In particular,thefirst-order theory of is decidable if thefirst-order theory and thefirst-order monadic theory of are decidable.Thefirst-order sentences of quantifier rank(respectively of alternation type)of a language with afinite relational signature have effectivefinite representations as explained in the following theorem(see e.g.,[1])。
D(x)
2eXxa0m0 npoler
De nition. If f(X) 2 RfXg n R, the order of f is the largest n such that X(n) occurs in
f. (For completeness if f f 2 R we say f has order -1.) If f has order n we can write
A derivation on a ring R is an additive homomorphism D : R ! R such that D(xy) =
xD(y) + yD(x). A di erential ring is a ring equipped with a derivation. Derivations satisfy all of the usual rules for derivatives. Let D be a derivation on R.
R in
! f0g.
nitely di
erentiable
real
functions on
(0; 1)
and
let
D
be
the usual derivative.
fduonmcta3ii)onnL,swefthUi:leUbth!eearCinnoagnnoedfmlCept1tyDfcu:onOncntUieoc!ntsedOisoUnpobeten.]tshSueibmuseisltuaarollfydCtehr.ievLaetetilvdOeo.Uf
De nition. Let f(X) 2 RfXg have order n 0. The separant of f is
Abstract
On Preservation under Homomorphisms and Unions of Conjunctive QueriesAlbert Atserias∗Universitat Polit`e cnica de Catalunya,Dept.LSIJordi Girona Salgado1-308034Barcelona,Spainatserias@lsi.upc.esAnuj Dawar†University of Cambridge Computer LaboratoryJ.J.Thomson AvenueCambridge CB30FD,U.K.anuj.dawar@Phokion G.Kolaitis‡IBM Almaden Research Center650Harry RoadSan Jose,CA95120,U.S.A kolaitis@March2,2006AbstractUnions of conjunctive queries,also known as select-project-join-union queries,are the most fre-quently asked queries in relational database systems.These queries are definable by existential positivefirst-order formulas and are preserved under homomorphisms.A classical result of mathematical logicasserts that the existential positive formulas are the onlyfirst-order formulas(up to logical equivalence)that are preserved under homomorphisms on all structures,finite and infinite.After resisting resolu-tion for a long time,it was eventually shown that,unlike other classical preservation theorems,thehomomorphism-preservation theorem holds for the class of allfinite structures.In this paper,we showthat the homomorphism-preservation theorem holds also for several restricted classes offinite structuresof interest in graph theory and database theory.Specifically,we show that this result holds for all classesoffinite structures of bounded degree,all classes offinite structures of bounded treewidth,and,moregenerally,all classes offinite structures whose cores exclude at least one minor.1IntroductionIt is well known that the most frequently asked queries in databases are expressible in the select-project-join-union(SPJU)fragment of relational algebra(see[1]).From the point of view of relational calculus orfirst-order logic,the class of SPJU queries corresponds to the class of queries definable by existential positive formulas offirst-order logic,that is,formulas built from atomic formulas using conjunction,dis-junction,and existential quantification only.By distributing conjunctions and existential quantifiers over ∗Partially supported by CICYT TIC2001-1577-C03-02and the Future and Emerging Technologies programme of the EU under contract number IST-99-14186(ALCOM-FT).†Research supported in part by EPSRC grant GR/S06721.‡On leave from UC Santa Cruz.Research partially supported by NSF Grant No.IIS-99074191disjunctions,every existential positive formula can be written as a disjunction of existential formulas in which the quantifier-free part is a conjunction of atomic formulas.It is for this reason that SPJU queries are also known as unions of conjunctive queries.Starting with the work of Chandra and Merlin[7],the study of conjunctive queries and their unions has occupied a central place in database theory;in particular, researchers have investigated in depth certain fundamental algorithmic problems about(unions of)conjunc-tive queries,such as the containment and the evaluation problem for these queries.Let A=(A,R A1,...,R A m)and B=(B,R B1,...,R B m)be two relational structures over the same vocabulary(database schema)R1,...,R m.Recall that a homomorphism from A to B is a map h:A→B such that for every relation symbol R i and every tuple a=(a1,...,a r)from A,if a∈R A i then h(a)= (h(a1),...,h(a r))∈R B i.As already realized by Chandra and Merlin[7],the study of conjunctive queries is intimately connected to homomorphisms.In particular,unions of conjunctive queries are preserved under homomorphisms,where a query q is said to be preserved under homomorphisms if whenever a∈q(A) and h is a homomorphism from A to B,then h(a)∈q(B).Note that if a query q is preserved under homomorphisms,then it is also preserved under extensions,which means that whenever A is an induced substructure of B and a∈q(A),then a∈q(B).In addition,such a query q is monotone,which means that whenever a∈q(A)and B is obtained from A by adding tuples to some of the relations of A,then a∈q(B).These preservation properties can be thought of as asserting that the query satisfies a strong form of the open world assumption,in that a tuple in the result of the query will remain so under the addition of new facts to the databases,such as the introduction of new elements and new tuples in the relations.Classical preservation theorems of model theory are results that match semantic properties offirst-order formulas with syntactic properties offirst-order formulas.Specifically,theŁo´s-Tarski Theorem asserts that afirst-order formula is preserved under extensions on all structures(finite and infinite)if and only if it is logically equivalent to an existential formula(see[26]).Another classical preservation theorem in model theory,known as Lyndon’s Positivity Theorem,states that afirst-order formula is monotone on all structures (finite and infinite)if and only if it is logically equivalent to a positivefirst-order formula.The non-trivial part in these results is to show that if afirst-order formula has the semantic property stated,then it is logically equivalent to afirst-order formula that has the corresponding syntactic property.The proofs make an essential use of the Compactness Theorem offirst-order logic(and,hence,of infinite structures).The same technique can also be used to show that the following homomorphism-preservation theorem holds:a first-order formula is preserved under homomorphisms on all structures(finite and infinite)if and only if it is logically equivalent to an existential positivefirst-order formula.The aforementioned classical preservation theorems are about the class of all structures(finite and infi-nite)over somefixed vocabulary.It is natural to ask whether these preservation theorems relativize,that is, whether they hold on restricted classes of structures.Note that if a preservation theorem holds for a class C of structures,then restricting the statement of the theorem to a subclass C of C weakens both the hypoth-esis and the conclusion of the theorem.Thus,unlike many other results of model theorem,a preservation theorem may hold for a class C of structures,but may fail for some subclass C of C.Research infinite model theory addressed the question of whether classical preservation theorems about the class of all structures hold for the class of allfinite structures.As it turned out,classical preservation theorems tend to fail when we restrict ourselves tofinite structures.In particular,theŁo´s-Tarski Theo-rem fails in thefinite,that is,there is afirst-order formula that is preserved under extensions on the class of allfinite structures,but is not equivalent to any existential formula[36,23].Similarly,Lyndon’s Pos-itivity Theorem is also known to fail in thefinite[2,35].As for the homomorphism-preservation theo-rem,its status in thefinite had remained unsettled for quite a long time.In fact,thefinite version of the homomorphism-preservation theorem had received considerable attention by thefinite model theory com-2munity and had been singled out as a central problem(Problem5.9on thefinite model theory website at rmatik.rwth-aachen.de/FMT/).Moreover,it motivated a lot of re-lated research in this area,including[4,16,24,32].Eventually,in an important breakthrough,Rossman [33]proved that the homomorphism-preservation theorem does hold in thefinite.In other words,Rossman proved that if afirst-order formula is preserved under homomorphisms on the class of allfinite structures, then it is equivalent,onfinite structures,to an existential positivefirst-order formula.In particular,suppose that some arbitrary relational algebra query which may also involve the set-theoretic difference operator is preserved under homomorphisms on allfinite structures;Rossman’s result shows that this query can be transformed to an equivalent SPJU query.In this paper,we show that the homomorphism-preservation theorem holds for numerous restricted classes offinite structures of interest in graph theory and database theory.It should be noted that our results were established and published in preliminary form[6]before Rossman proved that the homomorphism-preservation theorem holds for the class of allfinite structures.It should also be pointed out that our results are not implied by Rossman’s theorem,since,as explained earlier,preservation theorems about a class of structures need not relativize to a subclass of that class.In its full generality,our main result asserts that the homomorphism-preservation theorem holds for every class C offinite structures that is closed under substructures and disjoint unions,and has the property that the Gaifman graphs of the structures in C exclude at least one minor.This result contains as special cases the homomorphism-preservation theorem for the classes of all structures of bounded treewidth,and the classes of all structures that exclude at least one minor;in particular,the homomorphism-preservation theorem holds for the class of all planar graphs.If we restrict attention to Boolean queries,we are able to further extend the classes of structures on which the homomorphism preservation theorem holds.In particular,we can show that the theorem for Boolean queries holds on every class C offinite structures that is closed under substructures and disjoint unions,and such that the cores of the structures in C exclude at least one minor.To put these results in perspective,let us briefly comment on some of the key notions.Treewidth is a measure of how tree-like a graph(or,more generally, a relational structure)is.It has played a key role in Robertson and Seymour’s celebrated work on graph minors(see[12]).Moreover,classes of structures of bounded treewidth have turned out to possess good algorithmic properties,in the sense that various NP-complete problems,including constraint satisfaction problems and database query evaluation problems,are solvable in polynomial-time when restricted to inputs of bounded treewidth[10,12,21,22].The core of a structure A is a substructure B of A such that there is a homomorphism from A to B,but there is no homomorphism from A to a proper substructure B of B.This concept originated in graph theory(see[25]),but has found applications in conjunctive query processing and optimization[7]and,more recently,in data exchange[15].The proofs of our results combine earlier work about preservation properties in thefinite with some heavy combinatorial machinery.Ajtai and Gurevich[3]showed that if a query q on the class of allfinite structures is expressible in both Datalog andfirst-order logic,then it is also definable by an existential positive formula;furthermore,every Datalog program defining q must be bounded.This is an important result about Datalog programs in its own right,but it is also a partial result towards the homomorphism-preservation theorem in thefinite because all Datalog queries are preserved under homomorphisms(since such queries are infinitary unions of conjunctive queries).At a high level,the proof of the Ajtai-Gurevich theorem can be decomposed into two modular parts.Thefirst is a combinatorial lemma to the effect that if q is afirst-order query that is preserved under homomorphisms onfinite structures,then the minimal models of q satisfy a certain“density”condition(incidentally,the minimal models of a Boolean query that is preserved under homomorphisms are cores).The second part shows that if all minimal models of a Datalog query satisfy the“density”condition,then there are onlyfinitely many of them.This means that q3hasfinitely many minimal models,which easily implies that q is definable by a union of conjunctive queries. To obtain our main theorem,we use the same architecture in the proof,but,in place of the second part,we essentially show that if C is a class offinite structures satisfying the hypothesis of the theorem(such as having bounded treewidth or excluding a minor),then every collection of structures in C that satisfies the “density”condition must befinite.In turn,this requires the use of the Sunflower Lemma of Erd¨o s and Rado, as well as Ramsey’s Theorem.Furthermore,equipped with this new machinery,we obtain a different and perhaps more transparent proof of the Ajtai-Gurevich Theorem.Actually,we show that the Ajtai-Gurevich Theorem can be extended to a family offinite-variable infinitary logics that taken together are strictly more expressive than Datalog. This is obtained by using tight connections between number of variables,treewidth,and minimal models.In Section2,we review some basic notions from logic and graph theory that we will need in the se-quel.Section3contains certain combinatorial facts about the minimal models of afirst-order query that is preserved under homomorphisms.In Sections4and5,we establish the main results regarding classes of bounded treewidth and classes with excluded minors respectively.In Section6we discuss the relation-ship between peservation for Boolean and non-Boolean queries.We show that the preservation results for Boolean queries can be established for larger classes of structures.Finally,in Section7we obtain the aforementioned extension of the Ajtai-Gurevich Theorem.2PreliminariesThis section contains the definitions of some basic notions and a minimum amount of background material.2.1Relational Structures and GraphsA relational vocabularyσis afinite set of relation symbols,each with a specified arity.Aσ-structure A consists of a universe A,or domain,and an interpretation which associates to each relation symbol R∈σof some arity r,a relation R A⊆A r.A graph is a structure G=(V,E),where E is a binary relation that is symmetric and irreflexive.Thus,our graphs are undirected,loopless,and without parallel edges.Aσ-structure B is called a substructure of A if B⊆A and R B⊆R A for every R∈σ.It is called an induced substructure if R B=R A∩B r for every R∈σof arity r.Notice the analogy with the graph-theoretical concept of subgraph and induced subgraph.A substructure B of A is proper if A=B.A homomorphism from A toB is a mapping h:A→B from the universe of A to the universe ofB that preserves the relations,that is if(a1,...,a r)∈R A,then(h(a1),...,h(a r))∈R B.We say that two structures A and B are homomorphically equivalent if there is a homomorphism from A to B and a homomorphism from B to A.Note that,if A is a substructure of B,then the injection mapping is a homomorphism from A to BThe Gaifman graph of aσ-structure A,denoted by G(A),is the(undirected)graph whose set of nodes is the universe of A,and whose set of edges consists of all pairs(a,a )of distinct elements of A such that a and a appear together in some tuple of a relation in A.The degree of a structure is the degree of its Gaifman graph,that is,the maximum number of neighbours of nodes of the Gaifman graph.Let G=(V,E)be a graph.Moreover,let u∈V be a vertex and let d≥0be an integer.The d-neighborhood of u in G,denoted by N Gd(u),is defined inductively as follows:1.N G0(u)={u};2.N Gd+1(u)=N Gd(u)∪{v∈V:(v,w)∈E for some w∈N Gd(u)}.4A tree is an acyclic connected graph.A tree-decomposition of G is a labeled tree T such that1.each node of T is labeled by a non-empty subset of V;2.for every edge{u,v}∈E,there is a node of T whose label contains{u,v};3.for every u∈V,the set X of nodes of T whose labels include u forms a connected subtree of T. The width of a tree-decomposition is the maximum cardinality of a label in T minus one.The treewidth of G is the smallest k for which G has a tree-decomposition of width k.The treewidth of aσ-structure is the treewidth of its Gaifman graph.Note that trees have treewidth one.For every positive integer k≥2,we write T(k)to denote the class of allσ-structures of treewidth less than k.In the sequel,whenever we say that a collection C ofσ-structures has bounded treewidth,we mean that there is a positive integer k such that C⊆T(k).We say that a graph G is a minor of H if G can be obtained from a subgraph of H by contracting edges. The contraction of an edge consists in identifying its two endpoints into a single node,and removing the resulting loop.An equivalent characterization(see[11])states that G is a minor of H if there is a map that associates to each vertex v of G a non-empty connected subgraph H v of H such that H u and H v are disjoint for u=v and if there is an edge between u and v in G then there is an edge in H between some node in H u and some node in H v.We will sometimes refer to the subgraphs H v as the connected patches that witness that G is a minor of H.It is not hard to see that T(k)is closed under taking minors,that is,if G is a minor of H and the treewidth of H is less than k,then the treewidth of G is also less than k.Since the treewidth of K k,the complete graph on k vertices,is k−1,it follows that K k+1is not a minor of any graph in T(k).Finally, we will make use of the fact that K k is a minor of K k−1,k−1,the complete bipartite graph on two sets of k−1nodes.To see this,contract the edges of a perfect matching of size k−2sitting inside K k−1,k−1.The result is a complete graph on k−2nodes,which,together with the remaining two nodes of K k−1,k−1and all remaining edges,gives a K k.2.2First-order Logic and Conjunctive QueriesLetσbe a relational vocabulary.The atomic formulas ofσare those of the form R(x1,...,x r),where R∈σis a relation symbol of arity r,and x1,...,x r arefirst-order variables that are not necessarily distinct. Formulas of the form x=y are also atomic formulas,and we refer to them as equalities.The collection offirst-order formulas is obtained by closing the atomic formulas under negation,conjunction,disjunction, universal and existentialfirst-order quantification.The semantics offirst-order logic is standard.If A is aσ-structure andϕis afirst-order formula,we use the notation A|=ϕto denote the fact thatϕis true in A.The collection of existential-positivefirst-order formulas is obtained by closing the atomic formulas under conjunction,disjunction,and existential quantification.By substituting variables,it is easy to see that equalities can be eliminated from existential-positive formulas.An important fragment of existential-positive formulas is formed by the collection of sentences of the form∃x1...∃x nθ,whereθis a conjunction of atomic formulas with variables among x1,...,x n.These formulas define the class of Boolean conjunctive queries(also known as select-project-join queries or,in short,SPJ-queries).In the sequel,we will occasionally use the term conjunctive query to denote both a formula∃x1...∃x nθas above and the query defined by that formula.Everyfinite structure A with n elements gives rise to a canonical conjunctive queryϕA,which is obtained byfirst associating a different variable x i with every element a i of A,1≤i≤n,then forming the conjunction of all atomic facts true in A,andfinally existentially quantifying all variables x i,1≤i≤n.In other words,the formula5ϕA is the existential closure of the positive diagram of A(see[26]).Conversely,every conjunctive query ∃x1...∃x nθgives rise to a canonical structure A with n elements,where the elements of A are the variables x1,...,x n and the relations of A consist of the tuples of variables in the conjucts ofθ.Chandra and Merlin [7]showed the following basic result,which has found many uses in database theory and the theory of constraint satisfaction problems.Theorem1(Chandra-Merlin Theorem).Let A and B be twofinite structures.The following statements are equivalent.1.There is a homomorphism from A to B.2.B|=ϕA.3.ϕB logically impliesϕA.2.3Inductive Definitions and DatalogLetσbe a relational vocabulary.An inductive system offirst-order formulas is afinite sequenceϕ1(x1,...,x k1,S1,...,S r),...,ϕr(x1,...,x kr,S1,...,S r)offirst-order formulas such that each S i is a relation symbol of arity k i,not already inσ.Every such system gives rise to an operatorΦon sequences of relations of aσ-structure.More precisely,if A is aσ-structure with universe A and R i⊆A k i is a relation for every i∈{1,...,r},we defineΦi(R1,...,R r)={(a1,...,a ki )∈A k i:A|=ϕi(a1,...,a ki,R1,...,R r)},andΦ(R1,...,R r)=(Φ1(R1,...,R r),...,Φr(R1,...,R r)).The stagesΦm=(Φm1,...,Φm r)ofΦaredefined by the inductionΦ0i=(∅,...,∅),andΦm+1i =Φi(Φm1,...,Φm r).If each formulaϕi is positivein the relation symbols S1,...,S r,then the associated operatorΦis monotone in each of its arguments.In such a case,the sequence of stagesΦ0,Φ1,...converges to the leastfixed-pointΦ∞=(Φ∞1,...,Φ∞r)of the operatorΦ.Moreover,if A isfinite,then there exists afinite m0such thatΦ∞=Φm0.A Datalog program is afinite set of rules of the form T0←T1,...,T m,where each T i is an atomic formula.The left-hand side of each rule is called the head of the rule,while the right-hand side is called the body.The relation symbols that occur in the heads are the intensional database predicates(IDBs),while all others are the extensional database predicates(EDBs).Note that IDBs may occur in the bodies too,thus,a Datalog program is a recursive specification of the IDBs with semantics obtained via leastfixed-points of monotone operators(see[37]).For example,the following Datalog program defines the transitive closure of the edge relation E of a graph G=(V,E):T(x,y)←E(x,y);T(x,y)←E(x,z),T(z,y).A key parameter in analyzing Datalog programs is the number of variables used.We write k-Datalog for the collection of all Datalog programs with at most k variables in total.For instance,the above is a3-Datalog program.A Datalog program can be read as an inductive system offirst-order formulas(as above)where each formula is existential positive.Let C be a class ofσ-structures.A query q on C of arity n is a map that associates to each structure A in C an n-ary relation q(A)on the domain of A that is preserved under isomorphisms between structures.Let6L be some logic.We say that q is L -definable on C if there exists a formula ϕof L such that if A is in C ,then a ∈q (A )if and only if A ,a |=ϕ.A Boolean query is a query of arity 0,which can be identified with an isomorphism-closed subclass of C .Equivalently,a Boolean query is a mapping q from C to {0,1}that is invariant under isomorphisms.We say that a Boolean query q is L -definable on C if there is a sentence ψof L such that for every A ∈C ,we have that q (A )=1if and only if A |=ψ.3Preservation under Homomorphisms and Minimal ModelsFor the purpose of the constructions in this paper,we shall restrict our attention specifically to Boolean queries.The reason for restricting ourselves to Boolean queries is that the notion of minimal model ,which we rely on,is more naturally defined for Boolean queries.In Section 6we return to non-Boolean queries and explain why the results apply equally well to these.For a Boolean query q ,we say that a σ-structure A in C is a minimal model of q in C if q (A )=1and there is no proper substructure B of A in C such that q (B )=1.Recall from Section 2that substructures are not necessarily induced.The following characterization is part of the folklore,a proof for the class of all finite σ-structures can be found in [4].Here,we state it in a more general form for classes of finite σ-structures that are closed under substructures,and sketch a proof.Theorem 2.Let C be a class of finite σ-structures that is closed under substructures,and let q be a Boolean query on C that is preserved under homomorphisms on C .The following are equivalent:1.q has finitely many minimal models in C .2.q is definable on C by an existential-positive first-order sentence.Proof (sketch).The direction (1)⇒(2)is established by constructing,for each finite structure A ,a canonical conjunctive query ϕA ,as described earlier.The required existential positive formula defining q is now obtained as the disjunction of ϕA over all minimal models A of q .This follows from the preservation of q under homomorphisms and the fact that,by Theorem 1,a structure B satisfies ϕA if and only if there is a homomorphism from A to B .For the direction (2)⇒(1),we first use the fact that every existential positive formula is equivalent to a finite disjunction m i =1ψi ,where each ψi is a conjunctive query.For each such conjunctive query ψi ,let A i be the canonical finite structure associated with ψi ,1≤i ≤m .Note that such a canonical structure A i need not be a member of C .Nonetheless,it is not hard to show that every minimal model B of q in C is equal to a homomorphic image h (A i )of one of the canonical finite structures A i ,1≤i ≤m .Thus,the cardinality of every minimal model of q in C is less than or equal to the maximum cardinality of the canonical finite structures Ai ,1≤i ≤m ,which implies that q has finitely many minimal models in C .By Theorem 2,to establish the homomorphism-preservation theorem for the class of all finite struc-tures,we would need to show that any first-order definable query preserved under homomorphisms has only finitely many minimal models.Equivalently,it would suffice to show that for any such query there is a bound on the size of the minimal models.Ajtai and Gurevich [3],in comparing the expressive power of Datalog and first-order logic,showed that the minimal models of every first-order sentence preserved under homomorphisms satisfy an interesting combinatorial property.Intuitively speaking,they are dense .More precisely,if there are arbitrarily large minimal models,then they cannot be very thinly spread out,which means that they do not contain a large set of elements all far away from each other.Furthermore,one cannot remove a small number of elements from a large minimal model to create such a scattered set.7The Ajtai-Gurevich proof of this property is based on Gaifman’s Locality Theorem forfirst-order logic [18].Before we state the precise result,we need a definition and a piece of notation.Let G=(V,E)bea graph.Recall the definition of d-neighborhood N Gd (u)in Section2.We say that a subset A⊆V of thenodes is d-scattered if N Gd (u)∩N Gd(v)=∅for every two distinct u,v∈A.For a graph G=(V,E)anda set B⊆V,we write G−B for the graph obtained from G by removing all nodes in B and the edges to which they are incident.This is a notation we will use repeatedly in the sequel.We are ready for the result of Ajtai and Gurevich.While they proved this for the class of allfinite structures,it is easy to see that the proof relativizes to classes satisfying some simple restrictions.This observation follows from the fact that disjoint union and taking a substructure are the only constructions used in the proof in[3].Theorem3.Let C be a class offiniteσ-structures that is closed under substructures and disjoint unions. Let q be a Boolean query that isfirst-order definable and preserved under homomorphisms on C.For every s≥0,there exist integers d≥0and m≥0such that if A is a minimal model of q,then there is no B⊆A of size at most s such that G(A)−B has a d-scattered set of size m.In particular,there exist integers d≥0 and m≥0such that if A is a minimal model of q,then G(A)does not have a d-scattered set of size m.Now,let C be a class offiniteσ-structures that is closed under substructures and disjoint unions.With Theorems2and3in hand,in order to establish that the homomorphism-preservation theorem holds on C, it suffices to show that for some s and every d and m,all sufficiently large structures in C have d-scattered sets of size m after removing at most s elements.We formulate this observation as the following corollary, which we will use repeatedly in what follows.Corollary1.Let C be a class offiniteσ-structures having the following properties:1.C is closed under substructures and disjoint unions;2.for some s and for all d and m,there is an N so that if A∈C has more than N elements,then thereis a set B of at most s elements such that G(A)−B has a d-scattered set of size m.On the class C,every Boolean query that isfirst-order definable and preserved under homomorphisms is definable by an existential positivefirst-order formula.There is a case that is particularly easy in which we can take s=0.Lemma1.For every k≥0,d≥0,and m≥0,there exists an N≥0such that for all graphs G=(V,E G) with|V|>N and degree at most k,the graph G has a d-scattered set of size m.Proof.Fix d≥0and m≥0,let N=mk d,and let G=(V,E G)be a graph with|V|>N.The size of the d-neighborhood of every node in G is bounded by k d.Therefore,there are at least m nodes in G with disjoint d-neighborhoods.As an immediate corollary we obtain the homomorphism-preservation result for classes of structures of bounded-degree.Theorem4.Let C be a class offiniteσ-structures that is closed under substructures and disjoint unions,and such that the structures in C have bounded degree.On the class C,every query that isfirst-order definable and is preserved under homomorphisms is also definable by an existential-positivefirst-order formula.8。
福师 语言与文化网络课程章节练习
第一章练习一、单项选择题1.In its narrow sense, culture is ______.A.whatever distinguishes one nation from all the other nationsB.the attributes of manC.life way of a population D.intellectual or academic development2.Communication without feedback can be called______.A.unintentional communication B.unconscious communicationC.one-way communication D.indirect communication3.American scholars generally trace the origin of intercultural communication to______.A.cultural anthropology B.sociolinguisticsC.comparative education D.philosophy4.When you enter an American home and hear Let me take your coat, you should know that______.A.it’s extremely hot indoors B.your coat must be wetC.wearing a coat indoors is uncomfortableD.it’s an American custom to take off one’s coat in this situation5.It’s generally acknowledged that the publication of The Silent Language in 1959 by marked the beginning of intercultural communication studies in the United States.A.R.Porter B.C.BarnlundC.Edward T.Hall D.A.Samovar.6.It doesn't ____ you to have your hair cut short.A.1996 B.1969 C.1995 D.19597.The year which was set as The Intercultural-International Speech Communication Year wasA.1995 B.1970 C.1971 D.19728.Communication without the presence of fixed responder(s) is_______ communication.A.indirect B.passive C.nonsimultaneous D.nondirected二、判断题1.Decoding is the inner activity of the message sender.2.When someone responds to the residue of the behavior of another person, we say that communication has happened. 3.One-way communication is the communication without feedback.4.Literature, arts and religions belong to popular culture.5.Culture with a small c includes customs and habits,behavior patterns, social organizations, social relations, etc. 6.Intercultural Communication Studies as a discipline aims at studying cross-cultural communication of the past, the present and the future.7.A communicative event includes at least two communicative behaviors.8.Stereotype is definitely bad in Intercultural communication studies.9.Ethnocentrism is good for smooth intercultural communication.10.Communication without an intermediator is nondirected communication.三、名词解释1. cultureCulture is the unique style and custom which a nation forms in the history of its own development.2. intercultural communicationIntercultural communication refers to the communication in which the communicators are from different cultural backgrounds.3. communicationCommunication may be defined as that which happens whenever someone responds to the behavior or the residue of the behavior of another person.4. ethnocentrismEthnocentrism is a kind of psychological trend ,that is to interpret or to judge all other groups , their environments andtheir communication according to the categories and values of our own culture.5. one-way communicationCommunication without feedback is called one-way communication.四、问答题What are the historical backgrounds for the emergence of ICS in U.S.A?The United States, once called a melting pot, is a country of immigrants from almost all parts of the world. The late 1950s and the early 1960s found Americans more aware of new and different cultures, subcultures, and groups in conflict with mainstream America: Blacks, Chicanos, women, the elderly, homosexuals, the poor, hippies, and countless other groups became highly visible and vocal. Many of these groups were no longer willing to wait passively for admission into the dominant culture. They were more aggressive, demanding, and at timesmore violent than subcultures of the past. The need to comprehend and to interact with these groups became a major stimulus for the study of intercultural communication.On the other hand, a combination of increased mobility, modern communication technology, and an awareness of common worldwide problems, caused the world to shrink, making it a global village. People of different countries came into contact more frequently than ever before. Expanding international business and industrial networks, increasing international exchange programs and mushrooming tourism brought more and more foreigners into U.S.A., and more and more Americans to the other parts of the world. English, as an international language, became more and more important. However, it was soon realized that mastery of the language alone would not make people effective cross-cultural communicators. When the natural barrier of language was overcome, people might still fail to understand or to be understood due to ignorance of cultural differences in verbal and/or nonverbal behaviors. All this dictated the need for more cross-cultural studies and gave rise to the marriage of culture and communication.It is generally acknowledged that the publication of The Silent Language in 1959 by the American cultural anthropologist, Edward Hall, marked the beginning of intercultural communication studies as an independent discipline in the United States.第二章练习一、单项选择题1.If someone says, “What a big house you've got.”, the complimented might respond_____A.“Thank you, it's just so so.”B.“No, it is quite small.”C.“Really? I think it's not big enough to live in.”D.“Thank you. It's quite big, I was lucky to be able to get it.”2._____ are defined as “a class of grammatical forms used in speaking to or about a social superior.”A.Honorifics B.Terms of humilityC.Euphemisms D.Taboos3._____ are language forms used to show the speaker's modesty.A.Honourifics B.Terms of humilityC.Euphemisms D.Taboos4.When thanked, the Chinese public servants customarily reply“_______”.A.朋友之间,何需客气B.说谢就见外了C.一家人何需客套D.没什么,这是我应该做的。
做英文作文怎么写
做英文作文怎么写Title: Unleashing the Creativity in English Composition: A Freewheeling Journey。
1. Embrace the Randomness:Start your journey by letting words flow freely. Don't拘泥于 a structured format. Imagine you're having a casual conversation with a friend. Begin with a hook that captures their attention, like, "Hey mate, ever found yourself lostin the ocean of English essays?"2. Show, Don't Tell:Instead of stating, "I'll discuss," illustrate yourpoint with a story. For instance, "Remember that time we wrote about climate change? It wasn't about lists and facts, it was about the beach I saw with sand shifting."3. Use Everyday Language:Don't shy away from colloquialisms. "Don't worry about using formal language, just speak your mind. It's not about being fancy, it's about being relatable," you might say.4. Vary Your Tone:Switch between a reflective tone, "Think about how your emotions guide your writing," and a descriptive one, "Imagine the scene, let the colors and smells paint the picture."5. Play with Grammar:Break the rules, "Don't be afraid to break a rule or two, grammar is just a game, not a rulebook."6. Be Authentic:Share your personal experiences, "Remember that time you procrastinated? That's a common struggle, we've all been there."7. Conclude with a Call to Action:End with a thought-provoking question, "So, what's your next big idea? Let's turn that idea into a compelling essay, shall we?"Remember, the key is to keep it conversational, unpredictable, and engaging. Your English essay doesn'tneed to follow a strict structure, it's a journey, not a destination. Happy writing!。
英语语言学(山东大学(威海))智慧树知到答案章节测试2023年
第一章测试1.To put it in a simple way, linguistics studies ________, meaning of linguisticunits, and the use and interpretation of a sentence in different contexts.A:word formationB:properties of speech soundsC:sentence structureD:combination of speech sounds into a meaningful unit答案:ABCD2.To have a scientific language study, we must pursue brevity in analyzing thedata and in stating our findings, which can be summarized as the standard of ________.A:objectivityB:economyC:exhaustivenessD:consistency答案:B3. Parole refers to the abstract linguistic system shared by all the members of aspeech community.A:错B:对答案:A4.The reason for Frenchmen to use cheval and for English to use horse to referto the same animal is inexplicable.A:对B:错答案:A5.Of speech and writing, modern linguistics regards writing as the primarymedium of communication.A:错B:对答案:A6.According to Chomsky, competence is the actual realization of theperformance in linguistic communication.A:错B:对答案:A7.Which of the following disciplines are related to applied linguistics?A:psycholinguisticsB:geologyC:educationD:physics答案:AC8.Unlike animal communication systems, human language is ________.A:stimulated by some occurrence of communal interestB:stimulus freeC:under immediate stimulus controlD:stimulus bound答案:B9.________ has been widely accepted as the forefather of modern linguistics.A:ChomskyB:John LyonsC:de SaussureD:Bloomfield答案:C10.By saying language is arbitrary, we mean that there is no logical connectionbetween meaning and ________.A:phonemeB:morphemeC:soundD:word答案:C第二章测试1.What kind of sounds can we make, when the vocal cords are vibrating?A:VowelsB:Voiced consonantsC:Glottal stopD:Voiceless consonants答案:AB2.Which one is different from the others according to manners of articulation?A:[f]B:[z]C:[w]D:[v]答案:C3.Which of the following CANNOT be considered as a minimal pair?A:but-putB:but-batC:but-cutD:but-bus答案:A4.The sound /z/ can be described with “voiced, ________, alveolar”.A:labiodentalB:affricateC:fricative答案:C5.In English, if three consonants cluster together at the beginning of a word,the combination could be the following EXCEPT ________.A:[skw]B:[spl]C:[stj]D:[sks]E:[spr]答案:CD6. A phoneme in one language or one dialect may be an allophone in anotherlanguage or dialect.A:错B:对答案:B7.The speech sounds which are in complementary distribution are definitelyallophones of the same phoneme.A:错B:对答案:A8.Broad Transcription is intended to symbolize all the possible speech sounds,including the minute shades.A:错B:对答案:A9.The initial sound of “peak” is aspirated while the second sound of “speak” isunaspirated. They are allophones.A:错B:对答案:B10.Phonetic similarity means that the allophones of a phoneme must bear somemorphological resemblance.A:错B:对答案:A第三章测试1.The italicized word in the sentence “They are better fed, better housed, andbetter clothed than ever before” is a good example of ________.A:derivationB:conversionC:compounding答案:B2.We can classify morphemes into ________.A:adjective morphemes and numeral morphemesB:bound morphemes and free morphemesC:lexical morphemes and grammatical morphemesD:derivational morphemes and inflectional morphemes答案:BCD3.________ of the four words are good examples of compounding.A:blackboardB:mouthfulC:blueprintD: hotdog答案:ACD4.A(n) ________ is the smallest meaningful linguistic unit of language, notdivisible or analyzable into smaller forms.A:lexemeB:morphemeC:allomorphD:word答案:B5.The word children contains _________ morphemesA: 4B: 2C: 1D: 3答案:B6.The italicized word in sentence ________, the italicized part DOESN’T involveconversion.A:His smile could not very well mask his anger.B:He walked carefully so as not to wet his shoes.C:The teacher told the students to be quiet.D: The book yellowed with age.答案:C7.Most prefixes can occur as independent words.A:错B:对答案:A8.Such compounds as quick-frozen, far-fetched, fresh-baked, and long-awaitedare created by “a./ad. + v.-ed”.A:错B:对答案:B9.In American English, compounds are NOT usually written solid as soon asthey have gained some permanent status.A:错B:对答案:A10. A compound can be formed by placing any lexical item in front of another.A:错B:对答案:A第四章测试1.Syntax is the study of how words and phrases are properly formed out ofelements of a language.A:对B:错答案:B2.Many syntactic theories have developed in response to generative syntax.A:对B:错答案:A3.In the course of its development, generative grammar gradually shifted itsfocus from language itself to the native speaker’s knowledge of language.A:对B:错答案:A4.In the generative tradition, language is usually understood to refer to the allthe language structures that native speakers can generate.A:错B:对答案:A5.According to Chomsky, I-language refers to a set of sentences a nativespeaker can use.A:错B:对答案:A6.The sub-component which includes the rules governing word formation iscalled ________.A:pragmaticsB:semanticsC:phonologyD:morphology答案:D7.________ is to syntax what phoneme to phonology and morpheme tomorphology.A:SentenceB:UtteranceC:MeaningD:Syntactic category答案:D8.Among the following categories, ________ are word categories.A:VPB:PC:NPD:Adj.答案:BD9.In the category of CP, letter C stands for ____________.A:complementizerB:curriculumC:capitalD:complement答案:A10.Adverbs in English can be divided into ________.A:big adverbsB:small adverbsC:sentence-adverbsD:manner adverbs答案:CD第五章测试1.The approach to semantic study that is more concerned with the relationshipbetween linguistic expressions and the phenomena in the world to whichthey refer may be called ________.A:Cognitive SemanticsB:Formal SemanticsC:Linguistic SemanticsD:Logical Semantics答案:D2.The Contextualist View of meaning is based on the presumption that one canderive meaning from observable contexts.A:对B:错答案:A3.Meaning can be studied as ________.A:behaviorB:namingC:contextsD:concepts答案:ABCD4.Predication analysis is to break down predications into their constituents:________ and ________.A:headB:predicateC:argumentD:complement答案:BC5.The predication of the sentence “Jack is happy” is said to consist of Jack, the_________, and happy, the predicate.A:argumentB:predicateC:predicationD:subject答案:A6.The sense relations between words can be analyzed in terms of truthconditions.A:错B:对答案:A7.As for gradable antonyms, the denial of one is the assertion of the other.A:错B:对答案:A8. A pair of complementary antonyms is characterized by the feature that thedenial of one member implies the assertion of the other.A:错B:对答案:B9.The concept of REFERENCE can be regarded as a connection between thelinguistic element and the non-linguistic world of experience.A:错B:对答案:B10.According to the classic semantic triangle suggested by Ogden and Richards,the meaning of a word is the concept connecting the word with the real thing in the world. This concept is called Reference or Thought.A:对B:错答案:A第六章测试1.All the acts that belong to the same category act share the same purpose orthe same illocutionary act, and they are the same in their strength or force.A:对B:错答案:B2.Conversation participants almost always observe the CP and the maxims ofthe CP.A:对B:错答案:B3. A sentence is grammatical concept, and the meaning of a sentence is oftenstudied as the abstract intrinsic property of the sentence itself in terms of a predicationA:错B:对答案:B4.Utterance is based on sentence meaning; it is the realization of the abstractmeaning of a sentence in a real situation of communication or simply in acontext.A:错B:对答案:B5.All the utterance that can be made to serve the same purpose may vary intheir ________ form.A:syntacticB:semanticC:pragmaticD:grammatical答案:A6.The Cooperative Principle is proposed by ________.A:John LyonsB:Paul GriceC:John AustinD:John Searle答案:B7.The maxim of quantity requires: ________.A:Do not say something that is not relevant.B:Do not say that for which you lack adequate evidence.C:Do not make contribution more informative than is required.D:Make your contribution as informative as required.答案:CD8.Most of the violations of the maxims of the CP give rise to ________.A:all of the optionsB:speech act theoryC:conversational implicaturesD:utterance meaning答案:C9.The significance of Grice’s CP lies in that it explains how it is possible for thespeaker to convey ________ is literally said.A:the same asB:less thanC:more thanD:none of the options答案:C第七章测试1.The following is the clipped words EXCEPT ________.A:camB:fridgeC:infoD:butch答案:D2.As a result of the Norman Conquest of 1066, vast quantities of ________ wordswere added to the English vocabulary.A:GermanB:LatinC:RomanD:French答案:D3.Morphological and syntactic changes in English language including thefollowing EXCEPT ________.A:process of simplificationB:loss of inflectionsC:change in agreement ruleD:analogic change答案:D4.The following are the methods for the addition of new words EXCEPT________.A:clippingB:meaning shiftC:back-formationD:blending答案:B5.The meaning of word accident has undergone the process of ________.A:meaning degradationB:narrowing of meaningC:meaning elevationD:widening of meaning答案:B6.The word pioneer used to refer to a foot soldier who cleared the way for anyarmy by falling trees, but now it refers to a person who goes before,preparing the way for others, as a scientist doing exploratory work. Thisprocess of change is called ________.A:meaning degradationB:widening of meaningC:meaning elevationD:narrowing of meaning答案:C7.Which of the following words are formed by clipping?A:sci-fiB:comfyC:bookkeepD:docudramaE:script答案:BE8.Only words of the same parts of speech can be combined to form compounds.A:错B:对答案:A9.All the former job titles with -man have been replaced by the new job titleswith -person.A:错B:对答案:A10.The change of grammar is caused by economy of memory.A:错B:对答案:A第八章测试1.Someone who can speak many languages is called ________.A:LinguistB:BilingualistC:GeniusD:Polyglot答案:D2.The social factors in sociolinguistic studies do include ________.A:Social classB:Educational backgroundC:OccupationD:Social hierarchy答案:ABCD3.Ethnic dialects are mainly spoken by a less privileged population, such as the________.A:Black EnglishB:Queen’s EnglishC:American EnglishD:British English答案:A4.Code-switching can happen in ________.A:GermanyB:HongkongC:MacaoD:Belgium答案:ABCD5.From different perspectives, sociolinguistics may be classified into ________.A:Broad sociolinguistics and narrow sociolinguisticsB:Macro-sociolinguistics and micro-sociolinguisticsC:Sociolinguistics and social dialectsD:Sociolinguistics and sociology of language答案:ABD6.Gender varieties arise because language, as a social phenomenon, is closelyrelated to social attitudes.A:对B:错答案:A7.Macro-studies are to look at society as a whole and consider how languagefunctions in it and how it reflects the social differentiations.A:对B:错答案:A8.For a sociolinguist, code-switching means the switch made by a speaker orwriter from one language or language variety to another.A:错B:对答案:B9.Greek does not belong to Indo-European Language Family.A:对B:错答案:B10.In sociolinguistics, code-switching is the use of more than one linguisticvariety in a manner consistent with the syntax and phonology of each variety.A:错B:对答案:B第九章测试nguage is heavily tinted with its culture, and culture also affects itspeople’s language us es.A:对B:错答案:A2.Acculturation means a continuing process whereby an individual acquires apersonal identity and learns the norms, values, behavior, and social skillsappropriate to his or her social position.A:对B:错答案:B3.The appearance of loan words is one typical example of cultural diffusion.A:对B:错答案:Anguage and culture are closely related to each other, and it is extremelydifficult to separate the two.A:对B:错答案:A5.The ignorance of cultural differences will not necessarily create barriers inlearning the target language and in communication.A:对B:错答案:B6.Denotative meaning refers to the meaning that isn’t stated but implied; theimplication of a word, apart from its primary meaning.A:对B:错答案:B7.As the saying goes “A man’s home is his castle”, we stern people place a highvalue on ________.A:proverbB:complimentC:addressingD:privacy答案:D8.Successful communication occurs when the listener can ________ from thespeaker’s point of view.A:smell thingsB:see thingsC:understand the ways of knowing the worldD:sense the feelings to given issues答案:BCD9.In cross-cultural communication, ________ are key points to mutualunderstanding and can serve as the bridge that will help us transcendcultural barriers.A:sensitivityB:sincerityC:honestyD:nationalism答案:BC10. A linguistic sign may simultaneously have ________ meanings which are boundwith cultural encodings or associations.A:ironicB:connotativeC:associativeD:denotative答案:ABD第十章测试1.The common denial that birds are animals among very young children is atypical example of over-extension.A:错B:对答案:A2.Dyslexia refers to the abnormal difficulty in reading and spelling caused by abrain lesion.A:错B:对答案:B3.According to the behaviorist view of language acquisition, ________ and ________are preliminary or fundamental, and discrimination and generalization arecrucial or key to language development.A:inner mechanismB:imitationC:pre-equipped UGD:practice答案:BD4.According to the interactionist view of language acquisition, languagedevelopment is a result of the complex interaction between ________ and________.A:the reinforcement the child has receivedB:the concepts the child has formed about the worldC:the environment in which the child developsD:the human characteristics of the child答案:CD5.Many studies of children’s acquisition sequences and errors in variouslanguages have revealed that children have some ________ for making sense of language information.A:reinforcement principlesB:grammar principlesC:operating principlesD:reward principles答案:C6.According to Chomsky, human beings are not biologically programmed forlanguage and the language develops in the child with extreme attention and efforts.A:对B:错答案:B7.The innatists argue that children can discover the rules and principlesunderneath the language by trial and error.A:错B:对答案:A8.The speech contains content words and lacks function elements can be called________.A:mothereseB:caretaker talkC:child directed speechD:telegraphic speech答案:D9. A child may get confused hearing the color of white used for paper becausehe originally thought it as the word only for snow. This phenomenon belongs to ________.A:analogyB:under-extensionC:over-extensionD:overgeneralization答案:B10.Which of the following is the term meaning repetition of sounds, syllables, orphrases where the speaker cannot “release” the words?A:dysgraphiaB:autismC:stutteringD:aphasia答案:C第十一章测试1.Interlanguage is defined as an abstract system of learners’ target languagesystem.A:错B:对答案:A2.The goal of contrastive analysis is to predict what areas will be easy to learnand what areas will be difficult to learn.A:对B:错答案:A3.Contrastive analysis in volves describing the learners’ interlanguage, thencomparing the two forms to locate mismatches.A:对B:错答案:B4.It is generally believed that people learn their first language consciously andacquire their second language naturally.A:对B:错答案:B5.Mistakes often occur when learners fail to perform their competence,suggesting failure in ________.A:competenceB:knowledgeC:attentionD:performance答案:D6.________ errors occur when the learner misuses an item because it sharesfeatures with an item in the native language.A:developmentalB:transferC:intralingualD:interlingual答案:BD7.According to Krashen, ________ and ________ were two independent means orroutes of second language learning.B:learningC:acquisitionD:input答案:BC8.*“I losed the game.” and“There are ten sheeps.” are illustrations of ________and performance errors.A:cross-associationB:transfer mistakesC:developmental mistakesD:overgeneralization答案:D9.It is generally accepted that successful learners tend to use more strategiesand use them more selectively and flexibly.A:错B:对答案:B10.According to contrastive analysis, the greater the differences between L1 andL2, the more frequently the error will occur.A:对B:错答案:A第十二章测试1.________ produce fast and fluent speech with good intonation andpronunciation but the content of their speech ranges from mildlyinappropriate to complete nonsense, often as unintelligible.A:Wernicke’s aphasicB:The linguistic deprivationC:The damage on the angular gyrusD:Broca’s aphasic答案:A2.________ is the study of language in relation to the mind.A:PsycholinguisticsB:SociolinguisticsC:LinguisticsD:Semantics答案:A3.The brain is divided into two roughly symmetrical halves, called ________, oneon the right and one on the left.A:cerebrumsB:hemispheresC:cortexes答案:B4.Which of the following parts of the brain accounts for the human distinctnessin the animal world?A:cerebrumB:neuronC:brain stemD:cerebral cortex答案:D5.Which of the following methods are used to examine the behavior associatedwith the brain?A:autopsy studiesB:CETC:SATD:split brain studiesE:dichotic listening答案:DE6.Left hemisphere is primarily responsible for language and there are specificlanguage areas within the left hemisphere.A:对B:错答案:A7.It has been proved that the right ear shows an advantage for the perceptionof linguistic signal.A:错B:对答案:B8.Most right-handed individuals have language represented in the lefthemisphere and left-handers have language localization in the righthemisphere.A:对B:错答案:B9.In the priming experiment, both prime and target are stimuli.A:对B:错答案:A10.The priming task tells us that aspects of phonology are automaticallyactivated during word reading.A:对B:错答案:B第十三章测试1.Which event stands for the formal establishment of cognitive linguistics as adiscipline?A:The first International Cognitive Linguistics Conference was held inDuisburg GermanyB:The publication of Metaphors We Live byC:The publication of Women, Fire, and Dangerous ThingsD:The first course about cognitive linguistics was set up答案:A2.In the metaphor “Our car has broken down”, the source domain is?A:Car collapsesB:CarC:The house collapsesD:House答案:D3.Which of the following views means that “the choice of the subject of asentence depends on the degree of the prominence of each element in thecontext described by the sentence”?A:The experiential viewB:The prominence viewC:The cognitive viewD:The attentional view答案:B4.Cognitive linguistics is born on the basis of ________.A:The opposing of the mainstream linguistic conversionB:Generative grammarC:All of the optionsD:The opposing of generative grammar答案:AD5.Both ________ and ________ were written by George Lakoff.A:Metaphors We Live byB:Language and its StructureC:Foundations of Cognitive GrammarD:Women, Fire, and Dangerous Things答案:AD6.Aristotle’s classical category theory has had a profound impact on ________.A:LogicsB:Humanities and social sciencesC:Prototype theoryD:Philosophy答案:ABCD7.The essential feature of the traditional view of the category is the binaryopposition.A:对B:错答案:A8.In different cultures, the prototypes of the category “bird” may be different.A:错B:对答案:B9.Metaphors are culture-related.A:对B:错答案:A10.The prototype category‘s philosophical roots are based on family similarity.A:错B:对答案:B。
- 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。
FORMALIZED MATHEMATICSVolume9,Number2,2001University of BiałystokThe Jónsson Theorem about theRepresentation of Modular LatticesMariuszŁapińskiUniversity of BiałystokSummary.Formalization of[14,pp.192–199],chapter IV.Partition Lat-tices,theorem8.MML Identifier:LATTICE8.The articles[8],[18],[6],[9],[10],[3],[15],[20],[1],[21],[13],[2],[17],[7],[23],[24],[22],[19],[5],[12],[16],[4],[25],and[11]provide the terminology andnotation for this paper.1.PreliminariesLet A be a non empty set and let P,R be binary relations on A.Let us observe that P⊆R if and only if:(Def.1)For all elements a,b of A such that a,b ∈P holds a,b ∈R.Let L be a relational structure.We say that L isfinitely typed if and only if the condition(Def.2)is satisfied.(Def.2)There exists a non empty set A such that(i)for every set e such that e∈the carrier of L holds e is an equivalencerelation of A,and(ii)there exists a natural number o such that for all equivalence relations e1,e2of A and for all sets x,y such that e1∈the carrier of L and e2∈thecarrier of L and x,y ∈e1⊔e2there exists a non emptyfinite sequenceF of elements of A such that len F=o and x and y are joint by F,e1ande2.431c 2001University of BiałystokISSN1426–2630432mariuszŁapińskiLet L be a lower-bounded lattice and let n be a natural number.We say that L has a representation of type n if and only if the condition(Def.3)is satisfied.(Def.3)There exists a non trivial set A and there exists a homomorphism f from L to EqRelPoset(A)such that(i)f is one-to-one,(ii)Im f isfinitely typed,(iii)there exists an equivalence relation e of A such that e∈the carrier of Im f and e=id A,and(iv)the type of Im f n.Let us mention that there exists a lattice which is lower-bounded,distribu-tive,andfinite.Let A be a non trivial set.Observe that there exists a non empty sublattice of EqRelPoset(A)which is non trivial,finitely typed,and full.One can prove the following propositions:(1)For every non empty set A and for every lower-bounded lattice L andfor every distance function d of A,L holds succ∅⊆DistEsti(d).(2)Every trivial semilattice is modular.(3)Let A be a non empty set and L be a non empty sublattice ofEqRelPoset(A).Then L is trivial or there exists an equivalence relation eof A such that e∈the carrier of L and e=id A.(4)Let L1,L2be lower-bounded lattices and f be a map from L1intoL2.Suppose f is infs-preserving and sups-preserving.Then f is meet-preserving and join-preserving.(5)For all lower-bounded lattices L1,L2such that L1and L2are isomorphicand L1is modular holds L2is modular.(6)Let S be a lower-bounded non empty poset,T be a non empty poset,and f be a monotone map from S into T.Then Im f is lower-bounded.(7)Let L be a lower-bounded lattice,x,y be elements of L,A be a nonempty set,and f be a homomorphism from L to EqRelPoset(A).If f isone-to-one,then if f◦(x) f◦(y),then x y.2.The Jónsson TheoremWe now state two propositions:(8)Let A be a non trivial set,L be afinitely typed full non empty sublatticeof EqRelPoset(A),and e be an equivalence relation of A.Suppose e∈thecarrier of L and e=id A.If the type of L 2,then L is modular.the jónsson theorem about the (433)(9)For every lower-bounded lattice L such that L has a representation oftype 2holds L is modular.Let A be a set.The functor new set2A is defined by:(Def.4)new set2A=A∪{{A},{{A}}}.Let A be a set.One can verify that new set2A is non empty.Let A be a non empty set,let L be a lower-bounded lattice,let d be a bifunction from A into L,and let q be an element of[:A,A,the carrier of L,the carrier of L:].The functor new bi fun2(d,q)yielding a bifunction from new set2A into L is defined by the conditions(Def.5).(Def.5)(i)For all elements u,v of A holds(new bi fun2(d,q))(u,v)=d(u,v), (ii)(new bi fun2(d,q))({A},{A})=⊥L,(iii)(new bi fun2(d,q))({{A}},{{A}})=⊥L,(iv)(new bi fun2(d,q))({A},{{A}})=(d(q1,q2)⊔q3)⊓q4,(v)(new bi fun2(d,q))({{A}},{A})=(d(q1,q2)⊔q3)⊓q4,and(vi)for every element u of A holds(new bi fun2(d,q))(u,{A})= d(u,q1)⊔q3and(new bi fun2(d,q))({A},u)=d(u,q1)⊔q3and(new bi fun2(d,q))(u,{{A}})=d(u,q2)⊔q3and(new bi fun2(d,q))({{A}},u)=d(u,q2)⊔q3.Next we state several propositions:(10)Let A be a non empty set,L be a lower-bounded lattice,and d be abifunction from A into L.Suppose d is zeroed.Let q be an element of[:A,A,the carrier of L,the carrier of L:].Then new bi fun2(d,q)is zeroed.(11)Let A be a non empty set,L be a lower-bounded lattice,and d be abifunction from A into L.Suppose d is symmetric.Let q be an elementof[:A,A,the carrier of L,the carrier of L:].Then new bi fun2(d,q)issymmetric.(12)Let A be a non empty set and L be a lower-bounded lattice.Suppose L ismodular.Let d be a bifunction from A into L.Suppose d is symmetric andsatisfies triangle inequality.Let q be an element of[:A,A,the carrier ofL,the carrier of L:].If d(q1,q2) q3⊔q4,then new bi fun2(d,q)satisfiestriangle inequality.(13)For every set A holds A⊆new set2A.(14)Let A be a non empty set,L be a lower-bounded lattice,d be a bifunctionfrom A into L,and q be an element of[:A,A,the carrier of L,the carrierof L:].Then d⊆new bi fun2(d,q).Let A be a non empty set and let O be an ordinal number.The functor ConsecutiveSet2(A,O)is defined by the condition(Def.6).(Def.6)There exists a transfinite sequence L0such that(i)ConsecutiveSet2(A,O)=last L0,(ii)dom L0=succ O,434mariuszŁapiński(iii)L0(∅)=A,(iv)for every ordinal number C and for every set z such that succ C∈succ O and z=L0(C)holds L0(succ C)=new set2z,and(v)for every ordinal number C and for every transfinite sequence L1such that C∈succ O and C=∅and C is a limit ordinal number and L1=L0↾Cholds L0(C)= rng L1.One can prove the following three propositions:(15)For every non empty set A holds ConsecutiveSet2(A,∅)=A.(16)For every non empty set A and for every ordinal number O holdsConsecutiveSet2(A,succ O)=new set2ConsecutiveSet2(A,O).(17)Let A be a non empty set,O be an ordinal number,and T be a transfinitesequence.Suppose O=∅and O is a limit ordinal number and dom T=O and for every ordinal number O1such that O1∈O holds T(O1)=ConsecutiveSet2(A,O1).Then ConsecutiveSet2(A,O)= rng T.Let A be a non empty set and let O be an ordinal number.Note that ConsecutiveSet2(A,O)is non empty.We now state the proposition(18)For every non empty set A and for every ordinal number O holds A⊆ConsecutiveSet2(A,O).Let A be a non empty set,let L be a lower-bounded lattice,let d be a bi-function from A into L,let q be a sequence of quadruples of d,and let O be an ordinal number.Let us assume that O∈dom q.The functor Quadr2(q,O)yiel-ding an element of[:ConsecutiveSet2(A,O),ConsecutiveSet2(A,O),the carrier of L,the carrier of L:]is defined by:(Def.7)Quadr2(q,O)=q(O).Let A be a non empty set,let L be a lower-bounded lattice,let d be a bifunction from A into L,let q be a sequence of quadruples of d,and let O be an ordinal number.The functor ConsecutiveDelta2(q,O)is defined by the condition(Def.8).(Def.8)There exists a transfinite sequence L0such that(i)ConsecutiveDelta2(q,O)=last L0,(ii)dom L0=succ O,(iii)L0(∅)=d,(iv)for every ordinal number C and for every set z such that succ C∈succ O and z=L0(C)holds L0(succ C)=new bi fun2(BiFun(z,ConsecutiveSet2(A,C),L),Quadr2(q,C)),and (v)for every ordinal number C and for every transfinite sequence L1such that C∈succ O and C=∅and C is a limit ordinal number and L1=L0↾Cholds L0(C)= rng L1.Next we state several propositions:the jónsson theorem about the (435)(19)Let A be a non empty set,L be a lower-bounded lattice,d be a bi-function from A into L,and q be a sequence of quadruples of d.ThenConsecutiveDelta2(q,∅)=d.(20)Let A be a non empty set,L be a lower-bounded lattice,d bea bifunction from A into L,q be a sequence of quadruples of d,and O be an ordinal number.Then ConsecutiveDelta2(q,succ O)=new bi fun2(BiFun(ConsecutiveDelta2(q,O),ConsecutiveSet2(A,O),L),Quadr2(q,O)).(21)Let A be a non empty set,L be a lower-bounded lattice,d be a bifunc-tion from A into L,q be a sequence of quadruples of d,T be a trans-finite sequence,and O be an ordinal number.Suppose O=∅and O isa limit ordinal number and dom T=O and for every ordinal numberO1such that O1∈O holds T(O1)=ConsecutiveDelta2(q,O1).ThenConsecutiveDelta2(q,O)= rng T.(22)For every non empty set A and for all ordinal numbers O,O1,O2suchthat O1⊆O2holds ConsecutiveSet2(A,O1)⊆ConsecutiveSet2(A,O2). (23)Let A be a non empty set,L be a lower-bounded lattice,d be a bi-function from A into L,q be a sequence of quadruples of d,and O bean ordinal number.Then ConsecutiveDelta2(q,O)is a bifunction fromConsecutiveSet2(A,O)into L.Let A be a non empty set,let L be a lower-bounded lattice,let d be a bifunction from A into L,let q be a sequence of quadruples of d,and letO be an ordinal number.Then ConsecutiveDelta2(q,O)is a bifunction from ConsecutiveSet2(A,O)into L.The following propositions are true:(24)Let A be a non empty set,L be a lower-bounded lattice,d be a bifunctionfrom A into L,q be a sequence of quadruples of d,and O be an ordinalnumber.Then d⊆ConsecutiveDelta2(q,O).(25)Let A be a non empty set,L be a lower-bounded lattice,d be a bi-function from A into L,O1,O2be ordinal numbers,and q be a sequ-ence of quadruples of d.If O1⊆O2,then ConsecutiveDelta2(q,O1)⊆ConsecutiveDelta2(q,O2).(26)Let A be a non empty set,L be a lower-bounded lattice,and d be abifunction from A into L.Suppose d is zeroed.Let q be a sequence of qu-adruples of d and O be an ordinal number.Then ConsecutiveDelta2(q,O)is zeroed.(27)Let A be a non empty set,L be a lower-bounded lattice,and d be a bi-function from A into L.Suppose d is symmetric.Let q be a sequence of qu-adruples of d and O be an ordinal number.Then ConsecutiveDelta2(q,O)is symmetric.436mariuszŁapiński(28)Let A be a non empty set and L be a lower-bounded lattice.Suppose L ismodular.Let d be a bifunction from A into L.Suppose d is symmetric andsatisfies triangle inequality.Let O be an ordinal number and q be a sequ-ence of quadruples of d.If O⊆DistEsti(d),then ConsecutiveDelta2(q,O)satisfies triangle inequality.(29)Let A be a non empty set,L be a lower-bounded modular lattice,d bea distance function of A,L,O be an ordinal number,and q be a sequenceof quadruples of d.If O⊆DistEsti(d),then ConsecutiveDelta2(q,O)is adistance function of ConsecutiveSet2(A,O),L.Let A be a non empty set,let L be a lower-bounded lattice,and let d be a bifunction from A into L.The functor NextSet2d is defined by:(Def.9)NextSet2d=ConsecutiveSet2(A,DistEsti(d)).Let A be a non empty set,let L be a lower-bounded lattice,and let d be a bifunction from A into L.Note that NextSet2d is non empty.Let A be a non empty set,let L be a lower-bounded lattice,let d be a bifunction from A into L,and let q be a sequence of quadruples of d.The functor NextDelta2q is defined as follows:(Def.10)NextDelta2q=ConsecutiveDelta2(q,DistEsti(d)).Let A be a non empty set,let L be a lower-bounded modular lattice,let d be a distance function of A,L,and let q be a sequence of quadruples of d.Then NextDelta2q is a distance function of NextSet2d,L.Let A be a non empty set,let L be a lower-bounded lattice,let d be a distance function of A,L,let A1be a non empty set,and let d1be a distance function of A1,L.We say that A1,d1is extension2of A,d if and only if: (Def.11)There exists a sequence q of quadruples of d such that A1=NextSet2d and d1=NextDelta2q.Next we state the proposition(30)Let A be a non empty set,L be a lower-bounded lattice,d be a distancefunction of A,L,A1be a non empty set,and d1be a distance function ofA1,L.Suppose A1,d1is extension2of A,d.Let x,y be elements of A anda,b be elements of L.Suppose d(x,y) a⊔b.Then there exist elementsz1,z2of A1such that d1(x,z1)=a and d1(z1,z2)=(d(x,y)⊔a)⊓b andd1(z2,y)=a.Let A be a non empty set,let L be a lower-bounded modular lattice,and let d be a distance function of A,L.A function is called a ExtensionSeq2of A,d if it satisfies the conditions(Def.12).(Def.12)(i)dom it=N,(ii)it(0)= A,d ,and(iii)for every natural number n there exists a non empty set A′and there exists a distance function d′of A′,L and there exists a non empty setthe jónsson theorem about the (437)A1and there exists a distance function d1of A1,L such that A1,d1isextension2of A′,d′and it(n)= A′,d′ and it(n+1)= A1,d1 .We now state several propositions:(31)Let A be a non empty set,L be a lower-bounded modular lattice,d bea distance function of A,L,S be a ExtensionSeq2of A,d,and k,l benatural numbers.If k l,then S(k)1⊆S(l)1.(32)Let A be a non empty set,L be a lower-bounded modular lattice,d bea distance function of A,L,S be a ExtensionSeq2of A,d,and k,l benatural numbers.If k l,then S(k)2⊆S(l)2.(33)Let L be a lower-bounded modular lattice,S be a ExtensionSeq2of thecarrier of L,δ0(L),and F1be a non empty set.Suppose F1= {S(i)1:i ranges over natural numbers}.Then {S(i)2:i ranges over naturalnumbers}is a distance function of F1,L.(34)Let L be a lower-bounded modular lattice,S be a ExtensionSeq2of thecarrier of L,δ0(L),F1be a non empty set,F2be a distance functionof F1,L,x,y be elements of F1,and a,b be elements of L.SupposeF1= {S(i)1:i ranges over natural numbers}and F2= {S(i)2:iranges over natural numbers}and F2(x,y) a⊔b.Then there existelements z1,z2of F1such that F2(x,z1)=a and F2(z1,z2)=(F2(x,y)⊔a)⊓b and F2(z2,y)=a.(35)Let L be a lower-bounded modular lattice,S be a ExtensionSeq2of thecarrier of L,δ0(L),F1be a non empty set,F2be a distance function of F1,L,f be a homomorphism from L to EqRelPoset(F1),e1,e2be equivalencerelations of F1,and x,y be sets.Suppose that(i)f=α(F2),(ii)F1= {S(i)1:i ranges over natural numbers},(iii)F2= {S(i)2:i ranges over natural numbers},(iv)e1∈the carrier of Im f,(v)e2∈the carrier of Im f,and(vi) x,y ∈e1⊔e2.Then there exists a non emptyfinite sequence F of elements of F1suchthat len F=2+2and x and y are joint by F,e1and e2.(36)For every lower-bounded modular lattice L holds L has a representationof type 2.(37)For every lower-bounded lattice L holds L has a representation of type2iffL is modular.References[1]Grzegorz Bancerek.The fundamental properties of natural numbers.Formalized Mathe-matics,1(1):41–46,1990.[2]Grzegorz Bancerek.The ordinal numbers.Formalized Mathematics,1(1):91–96,1990.438mariuszŁapiński[3]Grzegorz plete lattices.Formalized Mathematics,2(5):719–725,1991.[4]Grzegorz Bancerek.Bounds in posets and relational substructures.Formalized Mathe-matics,6(1):81–91,1997.[5]Grzegorz Bancerek.Directed sets,nets,ideals,filters,and maps.Formalized Mathematics,6(1):93–107,1997.[6]Grzegorz Bancerek and Krzysztof Hryniewiecki.Segments of natural numbers andfinitesequences.Formalized Mathematics,1(1):107–114,1990.[7]Józef Białas.Group andfield definitions.Formalized Mathematics,1(3):433–439,1990.[8]Czesław Byliński.Binary operations.Formalized Mathematics,1(1):175–180,1990.[9]Czesław Byliński.Functions and their basic properties.Formalized Mathematics,1(1):55–65,1990.[10]Czesław Byliński.Functions from a set to a set.Formalized Mathematics,1(1):153–164,1990.[11]Czesław Byliński.Some basic properties of sets.Formalized Mathematics,1(1):47–53,1990.[12]Czesław Byliński.Galois connections.Formalized Mathematics,6(1):131–143,1997.[13]Adam Grabowski.On the category of posets.Formalized Mathematics,5(4):501–505,1996.[14]George Gr¨a tzer.General Lattice Theory.Academic Press,New York,1978.[15]Jarosław Gryko.The Jónson’s theorem.Formalized Mathematics,6(4):515–524,1997.[16]Adam Naumowicz.On the characterization of modular and distributive lattices.Forma-lized Mathematics,7(1):53–55,1998.[17]Beata Padlewska and Agata Darmochwał.Topological spaces and continuous functions.Formalized Mathematics,1(1):223–230,1990.[18]Konrad Raczkowski and PawełSadowski.Equivalence relations and classes of abstraction.Formalized Mathematics,1(3):441–444,1990.[19]Andrzej Trybulec.Tarski Grothendieck set theory.Formalized Mathematics,1(1):9–11,1990.[20]Andrzej Trybulec.Tuples,projections and Cartesian products.Formalized Mathematics,1(1):97–105,1990.[21]Wojciech A.Trybulec.Partially ordered sets.Formalized Mathematics,1(2):313–319,1990.[22]Zinaida Trybulec.Properties of subsets.Formalized Mathematics,1(1):67–71,1990.[23]Edmund Woronowicz.Relations and their basic properties.Formalized Mathematics,1(1):73–83,1990.[24]Edmund Woronowicz.Relations defined on sets.Formalized Mathematics,1(1):181–186,1990.[25]MariuszŻynel and Czesław Byliński.Properties of relational structures,posets,latticesand maps.Formalized Mathematics,6(1):123–130,1997.Received June29,2000。