Statistics of Quasiparticles in Fractional Quantum Hall States
fractal and fractional佩普学术 -回复
fractal and fractional佩普学术-回复Fractal and Fractional PEP AcademicIntroduction:Fractals and fractions are two mathematical concepts that have significant applications in various fields, including physics, computer graphics, and finance. This article aims to provide a comprehensive understanding of fractals and fractions, exploring their basic definitions, properties, and real-life applications.I. Fractals:1. Definition:Fractals are geometric shapes that exhibit self-similarity, meaning that they contain smaller copies of themselves in a never-ending pattern. They can be generated through a mathematical process called recursion. Examples of well-known fractals include the Mandelbrot set and the Sierpinski triangle.2. Properties:Fractals possess several distinctive properties, including infinite complexity, fractional dimension, and non-integer scaling. These properties contribute to their unique visual appearance and make them applicable in various fields, such as computer graphics and image compression.3. Applications:Fractals find applications in many practical areas. In computer graphics, they are used for creating realistic landscapes, textures, and natural objects. Fractal-based algorithms are also employed in image compression techniques, enabling efficient storage and transmission of digital images. Additionally, fractal analysis is utilized in medical imaging, financial forecasting, and weather prediction.II. Fractions:1. Definition:Fractions are numerical expressions representing a part or parts ofa whole. They consist of a numerator and a denominator, with the numerator representing the number of parts involved and the denominator indicating the total number of equal parts that make up the whole. For example, 3/4 represents three parts out of four equal parts.2. Properties:Fractions possess various properties, including equivalence, addition, subtraction, multiplication, and division. Equivalent fractions represent the same part-to-whole ratio, while adding, subtracting, multiplying, or dividing fractions follow specific rules and algorithms.3. Applications:Fractions have numerous real-life applications. In cooking and baking, fractions are used to determine ingredient quantities accurately. In finances, fractions are utilized to calculate interest rates, percentages, and financial ratios. Moreover, fractions play a significant role in measurements, allowing precise representations of lengths, weights, and volumes.III. Fractals and Fractions:1. Fractional Crystals:Fractional crystals are a special type of fractal pattern that combines the concepts of fractals and fractions. They are formed by repeatedly replacing parts of a shape with smaller copies. Each iteration involves dividing the shape into fractions of the original size and replacing them with smaller-scale copies.2. Applications:Fractional crystals offer an effective way to represent complex structures with fractional dimensions. They find applications in physics, chemistry, and materials science. For instance, they are used to model the behavior of polymers, the structure of porous materials, and the properties of amorphous solids.Conclusion:Fractals and fractions are fundamental mathematical concepts withsignificant practical applications. Fractals exhibit self-similarity and possess unique properties, making them useful in computer graphics, image compression, and numerous scientific fields. Fractions, on the other hand, represent parts of a whole and find applications in cooking, finance, and measurements. The combination of fractals and fractions leads to the concept of fractional crystals, enabling the representation of complex structures with fractional dimensions. Understanding these concepts is essential for anyone interested in mathematics or its various applications.。
2021年 学术论文文献阅读与机助汉英翻译第四章答案
2021年学术论文文献阅读与机助汉英翻译(2021春)第四单元How to Read—学术论文阅读技巧(详读细节)课后与章节测试1. What is Move 2 in method section?A Contextualizing study methodsB Describing the studyC Establishing credibility答案: 【B】2. Where is the method section?A After the introduction sectionB Before the introduction sectionC Before the discussion答案: 【A】3.The statistics in which figure are presented in percentage?A Pie chartB Bar chartC Photos答案: 【A】4. What is the second part of CARS model?A Establishing a research fieldB Creating a research gapC Occupying the research gap答案: 【B】5. How many moves are there in discussion section?A 3B 4C 5答案: 【B】6. What is the first mentioned frequently –used language device in this video?A NominalizationB PremodificationC Passive voice答案: 【A】7. The word Classroom-based is belong toA NominalizationB PremodificationC Passive voice答案: 【B】8. What is the function of “also”?A Add informationB Exemplifying relationshipC Concrete details答案: 【A】9. The phrase “As a result” belongs to which type of transitional words?A AddingB CausingC Comparing答案: 【B】10. How many methods the authors used in Clinical bonding to alumina ceramic part?A twoB threeC fourD five答案: 【B】因材料而异11. How many methods the authors used in Clinical bonding to zirconia ceramic part?A twoB threeC fourD five答案: 【C】因材料而异12. What is the best material used in this study?A non-retentive restorationsB retentive restorationsC resin-bonded fixed dental prosthesesD inlay-retained fixed dental prostheses答案: 【A】因材料而异13. What is the limitation of the study?A There are no controlled clinical trials showing that air-abrasion affects the clinical outcome of oxide ceramic restorations negatively.B There is still a controversy whether air-abrasion alters the strength of zirconia ceramic restorations.C On densely sintered zirconia clinically no durable bonding was achieved using silica-coating, silane application and using a MDP containing luting resin.D However, despite the use of retentive preparation design a debonding rate of 13.3% occurred within the first 53 months.答案: 【C】因材料而异14. In which part that the study results can be found in this article?A In methodsB In conclusionC In discussionD This article did not give a specific result答案: 【C】15. Which one is the title of the second table?A Chemical bonding mechanism of the phosphate monomer 10-methacryloyloxydecyl-dihydrogenphosphate (MDP) to dental oxide ceramics.B Recommended bonding methods to dental oxide ceramics based on published clinical trials.C Number of articles revealed in PubMed using the search term “zircon* AND ceramic AND bond* AND dent* AND resin” per 5 years time period after elimination of articles which did not deal with bonding to zirconia ceramic (311 − 44 = 267).D Failure rates of oxide ceramic fixed dental prostheses retained by resin-bonded retainer wings or inlays related to the pontic location.答案: 【B】16. What is the second subtitle of 2.1?A Method 1 tested on glass-infiltrated alumina ceramicB Method 1 tested on zirconia ceramicC Method 2 tested on glass-infiltrated alumina ceramicD Method 2 tested on zirconia ceramic答案: 【C】17. What is the second subtitle of part 2?A Clinical bonding to alumina ceramicB Clinical bonding to zirconia ceramicC Method 2 tested on glass-infiltrated alumina ceramicD Method 2 tested on zirconia ceramic答案: 【B】18. Part 1 Directions: There are 5 groups of sentences below, with each group consisting of 2 sentences. Read the sentences and choose the sentence which is more appropriate in academic articles. 1.如果我们认识不到废气这一严重问题,那么这个地球将面临毁灭。
《概率论与数理统计》基本名词中英文对照表
《概率论与数理统计》基本名词中英文对照表英文中文Probability theory 概率论mathematical statistics 数理统计deterministic phenomenon 确定性现象random phenomenon 随机现象sample space 样本空间random occurrence 随机事件fundamental event 基本事件certain event 必然事件impossible event 不可能事件random test 随机试验incompatible events 互不相容事件frequency 频率classical probabilistic model 古典概型geometric probability 几何概率conditional probability 条件概率multiplication theorem 乘法定理Bayes's formula 贝叶斯公式Prior probability 先验概率Posterior probability 后验概率Independent events 相互独立事件Bernoulli trials 贝努利试验random variable 随机变量probability distribution 概率分布distribution function 分布函数discrete random variable 离散随机变量distribution law 分布律hypergeometric distribution 超几何分布random sampling model 随机抽样模型binomial distribution 二项分布Poisson distribution 泊松分布geometric distribution 几何分布probability density 概率密度continuous random variable 连续随机变量uniformly distribution 均匀分布exponential distribution 指数分布numerical character 数字特征mathematical expectation 数学期望variance 方差moment 矩central moment 中心矩n-dimensional random variable n-维随机变量two-dimensional random variable 二维离散随机变量joint probability distribution 联合概率分布joint distribution law 联合分布律joint distribution function 联合分布函数boundary distribution law 边缘分布律boundary distribution function 边缘分布函数exponential distribution 二维指数分布continuous random variable 二维连续随机变量joint probability density 联合概率密度boundary probability density 边缘概率密度conditional distribution 条件分布conditional distribution law 条件分布律conditional probability density 条件概率密度covariance 协方差dependency coefficient 相关系数normal distribution 正态分布limit theorem 极限定理standard normal distribution 标准正态分布logarithmic normal distribution 对数正态分布covariance matrix 协方差矩阵central limit theorem 中心极限定理Chebyshev's inequality 切比雪夫不等式Bernoulli's law of large numbers 贝努利大数定律statistics 统计量simple random sample 简单随机样本sample distribution function 样本分布函数sample mean 样本均值sample variance 样本方差sample standard deviation 样本标准差sample covariance 样本协方差sample correlation coefficient 样本相关系数order statistics 顺序统计量sample median 样本中位数sample fractiles 样本极差sampling distribution 抽样分布parameter estimation 参数估计estimator 估计量estimate value 估计值unbiased estimator 无偏估计unbiassedness 无偏性biased error 偏差mean square error 均方误差relative efficient 相对有效性minimum variance 最小方差asymptotic unbiased estimator 渐近无偏估计量uniformly estimator 一致性估计量moment method of estimation 矩法估计maximum likelihood method of estimation 极大似然估计法likelihood function 似然函数maximum likelihood estimator 极大似然估计值interval estimation 区间估计hypothesis testing 假设检验statistical hypothesis 统计假设simple hypothesis 简单假设composite hypothesis 复合假设rejection region 拒绝域acceptance domain 接受域test statistics 检验统计量linear regression analysis 线性回归分析。
新概念英语第三册第5课ppt
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Originally adv.起初,原来
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这座古建筑还保留着当年的面貌。
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This ancient building still looks as it did originally.
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Editors of newspapers and magazines often go to extremes to provide their readers with unimportant facts and statistics. Go to extremes to do
provide sb with sth = provide sth for sb
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Last year a journalist had been instructed by a well – known magazine to write an article on the president’s palace in a new African republic. A research on the African world . A speech on poverty about后面所跟的名词范围广. On : 表示专业的学术性书籍或问题前用. 关于非洲世界的一份研究 关于贫穷的一份演讲
Lesson 5 The facts
目录
CONTENTS
extremist:
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extreme n.
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extreme sports:
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极限运动
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极端分子
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Editor:
Editor —— Edit(编辑) —— Edition(版本)
A-level数学词汇(P1-P4)
Pure mathematics1 1Algebraic expression代数表达式Index laws指数定律Indices(index的复数形式)指数Notation注释Simplify化简Power指数Base底Exponent指数Expression表达式Term项Numerator分子Expand展开Possible可能Fraction分数Bracket括号Product乘积Multiply乘Collecting like terms合并同类项Linear一次的Diagram图形Rectangle长方形Square正方形Length长度Width宽Side length边长Area面积Shade阴影Cuboid长方体Dimension维Show that证明Volume体积Given that已知Constant常数Value值Factorize因式分解Factor因子Opposite相反的Completely完全地Common factor公因式Quadratic二次的Form形式Real number实数Positive正的Negative负的Include包含Surd无理数Add加Sum和Take out提取Difference差Difference of two squares平方差Cancel取消,相互抵消Similarly同样的Rational有理的Rational number有理数Integer整数Square root平方根Evaluate求…的值Substitute代替Calculator计算器Square number平方数Irrational number无理数Decimal小数的Expansion展开式Never-ending无限的Never repeat不循环的Exact准确的Answer答案Manipulate操作Denominator分母Rationalizing denominator分母有理化Rearrange调整Prime质数Work out计算Hence然后Fully完全地State陈述Solve解决Equation方程2Quadratics二次方程式Quadratic equation二次方程Solution解Real solution实根Set设置Root根Distinct不同的Repeated root重根Case情况Straightforward简单直接的Symbol符号Plus加,正Minus减,负Factorization因式分解Shape形状Section部分Formula公式Reading off读取Coefficient系数Necessary必要的Significant figures有效数字Choose选择Suitable适当的Method方法Trapezium梯形Height高Discard丢弃Completing the square完全平方(配方)Frequently经常的Useful有用的Process过程Original最初的Determine决定Otherwise另外Function函数Mathematical数学上的Relationship关系Map映射Set集合Input输入Output输出Single单一的Notation符号Represent代表Domain定义域Range值域,范围Member成员Define定义Minimum最小的Occur发生Explain解释Consider考虑Graph图像Curve曲线Parabola抛物线Sketch画图Identify确定Key关键的Feature特征Overall整体的Cross交叉,横过Axis轴Coordinate坐标Turning point转折点(顶点)Maximum最大的Since因为Symmetrical对称的Symmetry对称性Line of symmetry对称轴Half-way位于中途的Explore探测Technology技术Plot绘制Scale刻度However但是,不管怎样Smooth平滑的Relevant相关的Intercept截距Label标记Axes(axis的复数)坐标轴Discriminant判别式Sign符号Check核实Inequality不等式Calculate计算Match匹配Prove证明Algebra代数学Diver跳水运动员Launch发射Springboard跳板Meter米Pool水池Second秒Model模型High高的Hit撞击Reach达到Non-zero非零3Equations and inequalities 方程和不等式Simultaneous联立的Linear simultaneous equations一次方程组Elimination消元法Substitution置换Quadratic simultaneous equations 二次方程组Up to直到,多达Make sure确保Correctly正确地Simplest最简的Graphically以图表形式As因为Satisfy满足Intersection相交Simultaneously同时地Intersect相交Once一次Twice两次Result结果,导致Produce产生Graph paper坐标纸Accurately准确地Verify验证Linear inequalities一次不等式Set notation集合符号Number line数轴Overlap重叠Separately单独地Illustrate图解,阐明Quadratic inequalities二次不等式Corresponding相应的Critical临界的Require要求Describe描述Interpret解释Region区域,范围Coordinate grid坐标网Dotted line虚线Solid line实线Vertex顶点Vertices(vertex的复数)顶点Within在内部,之内4Graphs and transformations 图像和转换Cubic三次的Cubic function三次函数Several几个Depend on取决于Touch接触Coordinate axes坐标轴Indicate表明,显示Reciprocal倒数的Reciprocal function反比例函数Such as例如Asymptote渐近线Approach接近Reach到达Quadrant象限Point of intersection交点Steeper更陡峭的Eventually最后,终于Reason理由,原因Appropriate恰当的Number数量Translate平移Transform改变Alter改动Subtract减Outside在外面Vertically竖直地Translation平移Vector矢量Horizontally水平地Direction方向In terms of用…来表示Slide滑动Stretch伸缩Scale factor比例系数Double两倍Halve减半,对分Inside在里面Triple三倍的Reflection反射(镜面对称) Alternatively二选一Parallel平行Lie on坐落在Pass through穿过Apply应用Unfamiliar陌生的,不熟悉的Specific特殊的Origin原点Position位置Image像Suggest提议Mark标记5Straight line graphs直线图像Gradient斜率Straight line直线Join连接Distance距离Formula公式Collinear共线的Intercept截距Define定义Either两者中的任一个Condition条件Triangle三角形General equation一般式Parallel平行Perpendicular垂直Whether是否Quadrilateral四边形Trapezium梯形Right angle直角Congruent全等的Neither两者都不Hypotenuse直角三角形斜边Line segment线段Scalene不等边的Respectively分别地Go through通过6Trigonometric ratios三角比Cosine rule余弦定理Miss缺失Version版本Exchange交换Standard标准Prove证明Opposite对边Adjacent邻边Pythagoras’theorem勾股定理Letter字母Round四舍五入Final最终的Coastguard海岸警卫队Station驻地Bearing方位Away from远离Appropriate适当的Mark标记Airport机场Due north正北Due east正东Due west正西Due south正南Sail航行Helicopter直升飞机Tee球座Flag旗Particular特定的Hole孔,洞Golf course高尔夫球场Yard码(1码=3英尺)Tee shot发球台Land着陆Largest最大的Farmer农场Field场地Fence栅栏Cargo货物Plane平面Kilometer千米Sine rule正弦定理Refer to涉及Data数据Remain剩余Located on坐落于Zookeeper动物管理员Enclosure围场Llama骆驼Diagonal对角线Surveyor检验员Measure测量Elevation高程,仰角Apart相距Assumption假设Mathematical数学的Model模型Obtuse钝角Acute锐角Isosceles等腰的Circle圆Radius半径Centre圆心Least最小的Instead代替Crane吊车Anchored固定Wreck破坏Suspend悬挂Cable缆绳Rotate旋转Level对准Proof证明Triangular plot三角图Involve涉及Trigonometry三角函数Encounter遇到Decide决定Mast桅杆In order that为了Interfere干扰Efficient有效的Hiker徒步旅行者Radar雷达Perimeter周长Tangent正切Periodic周期性的Repeat重复的Certain确定的Interval间距Period周期Undefined无意义的Knowledge知识Periodicity周期性Verify证明Variation变化Rock pool潮汐潭Midday中午During在…期间Non-exact非精准的Significant figure有效数字Windmill风车Sail帆Tower塔Deduce推导Dune沙丘Realistic现实的7Radians弧度Radian弧度So far到目前为止Probably大概,可能Degree度Revolution循环Around围绕Circle圆Subtend朝着Arc圆弧Circumference周长Convert转换Without没有Multiple倍数Arc length弧长Sector扇形Radius半径Contain包含Perimeter周长Border边界Pond池塘Consist由…组成Edge边缘Minor arc劣弧Major arc优弧Chord弦Diameter直径Template模板Brooch胸针Ferris wheel摩天轮Pod蚕茧,豆荚Estimate估计Speed速率Patio露台Lawn草坪Design设计Earring耳环Nearest最近点(精确到)Segment弓形Radii(radius的复数形式) A plot of…的一块Erect建造Along沿着Subtract减Tangent切线Ratio比例Bound关,围入Decimal place小数Midpoint中点Semicircular半圆Drawer抽屉Handle把手Difference差Badge徽章Equilateral等边的Railway铁路Track轨迹Prism三棱镜Attempt尝试Mistake错误8Differentiation微分Gradient斜率Constantly不断地Although然而Comment on对…评论Copy抄写,复制Complete完成Table表格Hypothesis假设Derivative导数Principle原理Detail细节Account解释Originate起源Formalize确定,形成Approach方式,方法Limit极限Tend to趋向Gradient function斜率函数Evaluate求…的值Fixed value定值Limiting value定值Definition定义One-at-a-time一次一个Turning point转折点(顶点)Slope斜率Disappear消失Polynomial多项式Normal切线First order derivative一阶导数Second order derivative二阶导数Rate of change变化率Respect to关于Displacement位移Acceleration加速度Local局部的9Integration积分Reverse相反的Differ不同Integrate求积分Integral积分Indefinite不确定的Indefinite integral不定积分Elongated拉长的,伸长的Arrow箭Fire射击Castle城堡Drop off下降Cliff悬崖Cyclist骑行者Pure mathematics2 1Algebraic methods代数方法Division除法Dividing polynomial多项式除法Finite有限的Whole number整数Long division长除法Quotient商Remainder余数Factor theorem因式定理Remainder theorem余数定理Logical逻辑的Structured有组织的Argument论据Statement命题Conjecture猜想Previously预先Establish建立Deduction推导Desired想要的Conclusion结论Odd number奇数Demonstration示范,演示Even number偶数Identical完全相等的Identity恒等式Parallelogram平行四边形Rhombus菱形Congruent全等的Exhaustion穷举法Consecutive连续的Square number平方数Break into拆分Is suited to适合于Disprove反驳Counter-example反例Sufficient充分的Prime number质数Divisible可整除的Either…or…二者择一的Cube number立方数Hold有效Claim宣称Opposite edge对边Hexagon六边形Regular hexagon正六边形Side length边长Reason原因2Coordinate geometry in the (x,y)plane解析几何Bisector二等分线Perpendicular bisector中垂线Averaging求平均值Endpoint端点Circumcentre外心Equidistant等距的Fixed point定点Vector向量Property性质Unique独一无二的Circumcircle外接圆3Exponentials and logarithms 指数和对数Exponential指数的Decrease减小Increase增加Smooth光滑的,平滑的Increasing function增函数Decreasing function减函数Justify证明Logarithms对数Specific特定的Button按钮Typically典型的Natural logarithms自然对数Instance实例Multiplication law乘法定律Division law除法定律Power law指数定律Recognize识别Attention注意Condition条件Complicated复杂的Whenever无论何时Convenient方便的Suppose假设Notice注意Particular特别的4The binomial expansion二项式展开Binomial二项式Pascal’s triangle杨辉三角(帕斯卡三角形)Immediately直接地Pattern图案Adjacent相邻的Investment投资Interest rate利率Annum年,岁Approximation近似值Ignore忽略Factorial notation阶乘Combination组合Superscript上标Subscript下标Probability可能性Toss投Likelihood可能性Ascending powers升幂Individual个别的Estimation估值Engineering工程学Science科学Percentage error百分误差Microchip微型集成电路片Faulty有缺点的Chip芯片Restrict限制Achieve达到School fair学校园游会Prize奖赏Digit数字Display显示5Sequences and series数列和级数Arithmetic sequence等差数列Arithmetic progression等差数列Common difference公差Arithmetic series等差级数(等差数列前n项求和)Exceed超过Inclusive包含的Stick棒子Pentagon五角形Geometric sequences等比数列Geometric progression等比数列Common ratio公比Converge收敛Alternating sequence交错数列Million百万Geometric series等比级数(等比数列前n项求和)Sum to infinity无限项求和Divergent发散的Convergent收敛的Recurring循环的Sigma notation求和符号Capital首都,大写字母Signify表示Recurrence relations递推关系Previous term前一项First term初项Generate生成,产生Periodic sequence周期数列Period周期Salary薪水Profit利润Predict预言Annual年度的Business商业Financial金融的Advisor顾问Fold折叠Thickness厚度Unrealistic不切实际的Investor投资人Account账户Thereafter以后Deposit存款,定金Wage工资Rise上升Gear齿轮Successive连续的Intermediate中间的Valuable有价值的Commission佣金Insurance保险Policy政策Prospector勘探者Drill钻孔Subsequent随后的Available可获得的Payment报酬Virus病毒Infect传染Diagnose诊断Overfish过度捕捞Chess象棋Chessboard棋盘Sponsored赞助的Polygon多边形Appointment约会,任命6Trigonometric identities and equations三角恒等式和方程Unit circle单位圆Anticlockwise逆时针Quadrant象限Equivalent相等的Equilateral triangle等边三角形Isosceles right-angled triangle等腰直角三角形Identity恒等式Reflex优角(大于180度,在第三、四象限)Principal value主值Inverse trigonometric function反三角函数Justification理由7Differentiation微分Strictly严格地Interval区间Stationary point驻点Local maximum局部最大Greatest value最大值Local minimum局部最小Least value最小值Point of inflection拐点,反曲点Immediate最接近的Vicinity邻近,附近Second derivative二次求导Rate of change改变的快慢Convex凸Concave凹Establish建立,证实Liter升Instant瞬间Tank水槽Cuboid长方体的Sheet薄片Metal金属Sphere球体Displacement位移Cylinder圆柱体Perimeter周长Semicircular半圆的Semicircle半圆Frame框架Split分离,分开Motion运动Damped阻尼Spring弹簧Bent弯的Biscuit饼干Tin罐头Close-fitting紧贴的Lid盖子Thin薄的,瘦的Wastage损耗Obtain获得Percentage百分比Store储存Capacity容量Container容器Calculus微积分学8Integration积分Definite integral定积分Indefinite integral不定积分Whereas反之,然而Upper limit上限Lower limit下限Square bracket中括号Magnitude大小Negligible可忽略的Straddle跨坐Unless除非Complicated复杂的Trapezium梯形Trapezium rule梯形法则Beneath在…下面Strip条,带Boundary边界Adjacent相邻的Improve改善Accuracy精确度Approximation近似值Underestimate低估Overestimate高估Compare比较Pure mathematics3 Common multiple公倍数Improper fraction假分数Partial fractions部分分数Degree次数Modulus function模函数Absolute value绝对值Argument辐角Set notation集合符号Piecewise-defined function分段函数Composite function复合函数Inverse function反函数Secant正割Cosecant余割Cotangent余切Interval区间Symmetry对称性Symmetrical对称的Chord弦Inverse trigonometric function反三角函数Addition formulae加法公式Compound-angle formulae复合角公式Double-angle formulae二倍角公式Round四舍五入Exponential function指数函数Natural logarithms自然对数Trend趋势Outlier极值Chain rule链式法则Product rule乘法法则Quotient rule除法法则Continuous连续的Fixed point iteration定点迭代Successive连续的Converge收敛Staircase diagram梯形图Cobweb diagram网状图Diverge发散Pure mathematics4 Contradiction反驳Assert主张Falsehood虚假Negation反论Prime number质数Split分解Separate独立的Parametric equation参数方程Variable变量Parameter参数Revolution循环Plot绘图Valid有效的As long as只要Condition条件Accurate精确的Ascending上升的Approximation近似值Implicit differentiation隐函数微分Explicitly明确的Implicit隐含的Rate of change变化率Hemisphere半球Cylindrical圆柱形的Conical圆锥形的Concave凹Convex凸Integrand被积函数Integration by substitution换元积分法Integration by part分部积分法Polynomial多项式Separating the variables分离变量General solution通解Boundary condition边界条件Directed line segment有向线段Parallelogram平行四边形Unit vector单位向量Column vector列向量Position vector位置矢量Scalene不等边的Clockwise顺时针Anticlockwise逆时针Coplanar共面的Parallelepiped平行六面体Trisect三等分Hexagon六边形Regular hexagon正六边形Direction vector方向向量Anchor固定Dot product点乘。
量子统计理论
Fermion System 巨配分函数
BEIJING NORMAL UNIVERSITY
配分函数
三种系统公式比较
内能的统计表达式 外界对系统广义力的统计表达式
BEIJING NORMAL UNIVERSITY
配分函数的全微分
BEIJING NORMAL UNIVERSITY
若将N表达为:
∫ ∫ N =
∞
dN
=
0
∞ D (ε )d ε 0 e β(ε −μ ) − 1
∫ =
2π h3
(2m)32Fra bibliotek∞ε1 2d ε
0 e β(ε −μ) − 1
此式没有计入基态能级对粒子数的贡献是不合理的。
应修正为: N = N0(T ) + N ′(T )
( ) ∫ 其中:N ' = 2 π g V
热力学量的统计表达式
Boson System 定义巨配分函数
BEIJING NORMAL UNIVERSITY
内能的统计表达式 外界对系统广义力的统计表达式
BEIJING NORMAL UNIVERSITY
例 在无穷小的准静态过程中,当外参量有dy的改变
时,外界对系统所作的功为
在无穷小的准静态过程中,外界对系统所作的功 是粒子分布不变时由于能级改变而引起的内能变化.
2m kT h2
3 2 e −α ⎡⎢⎣ Γ
3 2
∓ e−α 1 Γ 22
3 2
⎤⎥⎦
( ) ( ) ∴
N = gV
2 πmkT h2
3 2 e−α
1 ∓ e−α 22
(a)
( ) ( ) U = gV
太原理工大学理工科研究生专业英语词汇篇
Unit 1outcome结果statistics统计statistical 统计的toss投die骰子dice 掷骰子intuitive直觉的analogously类似的conceptually概念的simultaneous同时的collection集合identical同一的,同样的individual个别的ensemble集,总和ensemble average集平均variable变量random variable随机变量stationary平稳的ergodic个态历经的ergodic process各态历经过程deterministic确定性的normalize使标准化的normalized规格化的,归一化的expectation期望值product乘积truncate截断,截短periodic周期的covariance协方差uncorrelated不相关的uniform均匀的overlap部分重叠separation间隔,距离spacing间隔,间距random process随机过程on the average 平均,一般来说make measurement 量度sample function 样本函数statistical average 统计平均值probability density function概率密度函数statistical characteristic统计特征autocorrelation function 自相关函数in connection with 与,,有关physical significance物理意义Fourier transform傅里叶变换power spectral density 功率谱密度be at liberty to被允许gaussian process高斯过程physical fact外界存在的事实upper-frequency频率上限fall off下降in the limit在极限情况下delta function狄拉克函数random pulse随机脉冲time invariant时不变的parseval's theorem巴塞瓦尔定理statistically independent统计独立successive pulse连续脉冲be representative of表示,代表词组sample function样本函数ensemble average集合平均physical significance物理意义a fourier transform pair傅里叶变换对deterministic waveform 确定波形in the limit 在极限情况下time invariant时不变的an upper-frequency limit频率上限parseval,s theorem帕斯瓦尔定理random pulses随机脉冲随机过程random process统计平均statistical average随机变量random variable自相关函数autocorrelation function傅里叶变换fourier transform功率谱密度power spectral density概率密度函数probability density function 高斯过程gaussian process平稳过程stationary process统计独立statistically时间平均值time average统计特征statistical character各态历经过程ergodic processUnit 2abstraction抽象encompass包括devise设计whereby凭那个,由此arbitarily任意地theorem定理infrequent 罕见的override压倒thereby由此gaussian高斯的unity单一complementary补充的derivation推导formidable困难的undertake进行,从事presumed假定的presumably推测起来likelihood可能likely可能interval间隔rounding舍入,四舍五入abrupt,急剧的,不连续reliably可靠的,安全的heuristic启发式的intuitive直觉的intuitively直觉的contemplate预期的vice versa反之亦然quantize量化reception接受extreme极端的,偏激的attenuate衰减distort失真distortion失真equalizer均衡器recoverable可恢复的enter into参加,涉及due to 由于be something of 有一点in principle 原则上provided that假如on principle按照原则probability of error 误码率be close to接近bandlimited gaussian channel限带高斯信道physical system物理系统turn out结果lower bound下界upper limit 上限root-mean-square均方根root-mean-square error 均方误差amount of information 信息量ideal lowpass filter理想低通滤波器rise time上升时间as a matter of convenience为方便起见white gaussian noise 高斯白噪声on the other hand 另一面trade off交替换位tradeoff折中signal-to-noise ratio信号噪声比be free to 随意make up for 补偿词组physical system物理系统rise time 上升时间amount of information信息量in principle原则上gaussian channel高斯信道probability density概率密度root-mean-square均方根trade off折中lower bound下界equalizer均衡器vice versa反之亦然upper limit上限通信理论communication theory香农定理Shannon,s theorem信道带宽channel bandwidth信号波形signal waveform理想低通滤波器ideal lowpass filter自相关函数autocorrelation function无噪音高斯信道noiseless gaussian channel 通信信道communication channel信息速率information rate信噪比signal-to-noise ratio信道容量channel capacity双边功率谱密度two-side power误码率probability of error那奎斯特采样速率nyquist sampling rate限带高斯信道bandlimited gaussian channel 高斯白噪声White gaussian noiseUnit 3analog模拟quantization量化volt伏特discrete离散的quantum量unipolar单级的polar极性的on-off开关的encoding编码encoder编码器decoder解码器likewise同样的amplitude振幅margin余量trinary三倍的immune免疫的hereafter今后unavailable不能避免的reconstructed重建的evaluation计算span横跨interval间隔compandor压扩器companding压扩uniformly均匀的compress压缩compressor压缩器compressor ratio压缩比quantizer均匀量化器uniform quantizer均匀量化器equivalent相等的serially连续的reshape改造distortion失真interconnect使相互连接filter滤波transition转换,转变PCM: pulse code modulation脉冲编吗调制PAM: pulse amplitude modulation脉冲振幅调制PPM: pulse phase modulation 脉宽调制pulse train脉冲序列amount to等于round off舍入step size步长quantum step size 量化步长positive pulse 正脉冲refer to as称为quantization error 量化步长peak magnitude峰值overall performance总性能crest factor振幅因数root-mean-square均方根Differential Pulse Code Modulation 差分脉冲编码调制adaptive DPCM 自适应DPCMpredictive coding预测编码correspond to相应,符合in practice 实际中in an attempt to 力图词组overall performance总性能crest factor振幅因数nonlinear operation 非线性炒作inverse operation 逆运算RMS均方根PAM脉福调制maximum magnitude最大幅值error intervals误差间隔entropy墒round off四舍五入quantum level量化水平DPCM差分脉码调制正脉冲positive pulse脉冲编码调制PCM量化步长quantum step size 峰值peak magnitude线性函数linear function脉冲序列pulse train均匀量化器uniform quantizer 预测编码predictive coding 压扩器compandor压缩比compression ratio Unit 4selectively仔细挑选formula公式formulas公式化sacrifice牺牲redundant冗余的demonstrate证明orthogonal正交的arbitrarily任意地raw未加工的raw data 原始数据denote 指示Retransmission转发sophisticated复杂的impractical不切实际的parity奇偶校验encoder编码器codeword码字modulo以。
新GRE数学全部知识点汇总讲解
概率论部分1.排列(permutation):2.组合(combination):统计学部分1.mode(众数)2.range(值域)3.mean(平均数)arithmatic mean(算术平均数): n个数之和再除以ngeometric mean (几何平均数): n个数之积的n次方根4.median(中数)5.standard error(标准偏差)一堆数中,每个数与平均数的差的绝对值之和,除以这堆数的个数(n) 6.standard variation一堆数中,每个数与平均数之差的平方之和,再除以n7.standard deviation就是standard variation的平方根 d8.the calculation of quartile(四分位数的计算)Quartile(四分位数):第0个Quartile实际为通常所说的最小值(MINimum);第1个Quartile(En:1st Quartile);第2个Quartile实际为通常所说的中分位数(中数、二分位分、中位数:Median);第3个Quartile(En:3rd Quartile);第4个Quartile实际为通常所说的最大值(MAXimum);我想大家除了对1st、3rd Quartile不了解外,对其他几个统计值的求法都是比较熟悉的了,而求1st、3rd是比较麻烦的。
下面以求1rd为例:设样本数为n(即共有n个数),可以按下列步骤求1st Quartile:1.n个数从小到大排列,求(n-1)/4,设商为i,余数为j2.则可求得1st Quartile为:(第i+1个数)*(4-j)/4+(第i+2个数)*j/4例(已经排过序啦!):1).设序列为{5},只有一个样本则:(1-1)/4 商0,余数01st=第1个数*4/4+第2个数*0/4=52).设序列为{1,4},有两个样本则:(2-1)/4 商0,余数11st=第1个数*3/4+第2个数*1/4=1.753).设序列为{1,5,7},有三个样本则:(3-1)/4 商0,余数21st=第1个数*2/4+第2个数*2/4=34).设序列为{1,3,6,10},四个样本:(4-1)/4 商0,余数21st=第1个数*1/4+第2个数*3/4=2.55).其他类推!因为3rd与1rd的位置对称,这是可以将序列从大到小排(即倒过来排),再用1rd的公式即可求得:例(各序列同上各列,只是逆排):1.序列{5},3rd=52.{4,1},3rd=4*3/4+1*1/4=3.253.{7,5,1},3rd=7*2/4+5*2/4=64.{10,6,3,1},3rd=10*1/4+6*3/4=79.The calculation of Percentile设一个序列供有n个数,要求(k%)的Percentile:(1)从小到大排序,求(n-1)*k%,记整数部分为i,小数部分为j可以如此记忆:n个数中间有n-1个间隔,n-1/4就是处于前四分之一处,(2)所求结果=(1-j)*第(i+1)个数+j*第(i+2)个数特别注意以下两种最可能考的情况:(1)j为0,即(n-1)*k%恰为整数,则结果恰为第(i+1)个数(2)第(i+1)个数与第(i+2)个数相等,不用算也知道正是这两个数.注意:前面提到的Quartile也可用这种方法计算,其中1st Quartile的k%=25%2nd Quartile的k%=50%3rd Quartile的k%=75%计算结果一样.例:(注意一定要先从小到大排序的,这里已经排过序啦!){1,3,4,5,6,7,8,9,19,29,39,49,59,69,79,80}共16个样本要求:percentile=30%:则(16-1)*30%=4.5=4+0.5 i=4,j=0.5(1-0.5)*第5个数+0.5*第6个数=0.5*6+0.5*7=6.510.To find median using Stem-and-Leaf (茎叶法计算中位数)Stem-and-Leaf method 其实并不是很适用于GRE考试,除非有大量数据时可以用这种方法比较迅速的将数据有序化.一般GRE给出的数据在10个左右,茎叶法有点大材小用.Stem-and-Leaf 其实就是一种分级将数据分类的方法.Stem就是大的划分,如可以划分为1~10,11~20,21~30…,而Leaf就是把划分到Stem一类中的数据再排一下序。
莱布尼茨三角形
得出公式
1676年11月,他得出了公式
其中n是整数或分数(n≠-1).
莱布尼茨的积分方面的工作是与微分方面的工作交叉进行的.
由于研究巴罗的著作,以及引入特征三角形,莱布尼茨越来越强烈地意识到,微分(主要是导数、求切线)与 积分(求和)必定是相反的过程.在1675年10月29日的手稿中,他就注意到,面积被微分时必定给出长度,因此他 开始探讨“∫”的运算(积分)和“d”的运算(微分)之间的关系,认识到要从y回到dy,必须做出y的微差或者取y 的微分.经过这种不充分的讨论,他断定一个事实:作为求和的过程的积分是微分的逆.这样,莱布尼茨就第一 次表达出了求和(积分)与微分之间的关系.
莱布尼茨于1675—1676年给出了微积分基本定理(后来又称为牛顿-莱布尼茨公式)
(A为曲线f下的图形的面积.)
于1693年给出了这个定理的证明.以前,微分和积分作为两种数学运算、两类数学问题,是分别地加以研究 的.卡瓦列里、巴罗、沃利斯等许多人得到了一系列求面积(积分)、求切线斜率(导数)的重要结果,但这些结果 是孤立、不连贯的.虽然他们已开始考虑微分和积分之间的关系,然而只有莱布尼茨和牛顿(各自独立地)将微分 和积分
莱布尼茨三角形
数学模型
01 简述
03 初步思想 05 发表论文
目录
02 激发兴趣 04 得出公式 06 函数微分
目录
07 莱布尼茨法则
09 莱布尼茨其人
08 无穷级数
叙述了莱布尼茨三角形产生的历史和莱布尼茨使用其创立微积分及在数学上作出的贡献。
简述
微积分 1666年,莱布尼茨写成“论组合术”(De ArtCombinatoria)一文,讨论了平方数序列0,1,4,9 16,…的性质,例如它的第一阶差为1,3,5,7,…,第二阶差则恒等于2,2,2,…等.他注意到,自然数列 的第二阶差消失,平方序列的第三阶差消失,等等.同时他还发现,如果原来的序列是从0开始的,那么第一阶差 之和就是序列的最后一项,如在平方序列中,前5项的第一阶差之和为 1+3+5 +7=16,即序列的第5项.他用X表 示序列中项的次序,用Y表示这一项的值.这些讨论为他后来创立微积分奠定了初步思想,可以看作是他微积分思 想的萌芽.“论组合术”是他的第一篇数学论文,使他跻身于组合数学研究者之列。
电子信息专业英语词汇
Printed circuit board 印刷电路板Parallel plate capacitor 平板电容器Screwdriver 螺丝刀Dielectric 电介质,绝缘体Trimmer 微调电容器Perfect conductor 理想导体Equivalent resistance 等效电阻Magnetic field 磁场Diode 二极管Triode 三极管Series circuit 串联电路Parallel circuit 并联电路Tuning circuit 调谐电路Potential difference 电位差Open-circuit 开路Short-circuit 短路Level 电平Carrier 载波Impedance 阻抗Integrated 集成电路Faithfully 忠实的如实的Stripe 斑纹条纹Vacuum 真空Resonance 共振共鸣Passive component 无源器件Circuit board 电路板Fidelity 保真度Hybrid 混合的Semiconductor 半导体Potentiometer 电位计Component 成分分量Wafer 晶片Dissipation 消耗分散Operational amplifier 运算放大器High-gain 高增益的Feedback 反馈Differential amplifier 微分放大器Common-mode 共模Package 包装包裹Non-inverting input 同相输入Negative feedback 负反馈Filter 滤波器Inverting amplifier 反相放大器Pin 引脚引线8 pin dual-in-line 8引脚双列直插式Non-inverting 同相Inverting 反相Canonically 规范的Logic level 逻辑电平Flip-flop 触发器Non-transparent 不透明的Disambiguation 解疑Toggle flip-flop 反转触发器Latch 锁存器门闩Timing diagram 计时图时序图Inverter 变换器逆变器Transparent 透明的Qualitative 性质上的质的Quantitative 数量的Independent 自变量Electrical charge 电荷Entity 存在实体Duration 持续时间时长Girth 周围尺寸周长Cylinder 圆筒圆柱体Radius 半径Complex 复数的Tractable 易处理的易控制的Finite 有限的Converge 收敛聚合Mean-squared value 均方值Rms root mean square 均方根Ramp 斜坡Indefinitely 无限的Deterministic 确定的Probabilistic 概率性的Binary 二进制的M-ray signal M元信号Axis 轴Quantization 量子化Rounding off 舍入Aperiodic 非周期性的Periodicity 周期性的Ad infinitum 永远无限的Everlasting 永恒的Extract 抽取Hydraulic 水力的水压的Algorithm 算法Accessible 可连接的Linearity线性线性度Homogeneity 均匀性齐次性K fold k倍 k重Superposition 叠加重叠Decomposition 分解Carbon microphone 炭粒传声器碳晶话筒Granule 小粒微粒Instantaneous 瞬间的即时的Dynamic 动态的Prophetic 预言的先知的Lumped-parameter system 集总参数系统Distributed-parameter system 分布参数系统Partial differential equation 偏微分方程Acoustic 声学的LTI 线性时不变Algebraic 代数的Polynomial 多项式Unit impulse 单位脉冲Unit step 阶跃Subsystem 子系统Amplitude 振幅Sampling 取样Power series 幂级数Notation 表示法注释Unity magnitude 同一量级Unit 最小整数The region of convergence 收敛域Absolutely summable 绝对可和In the mean-square sense 在均方意义下Laurent series 洛朗级数Time shifting 时移性质Multiplication by an exponentialsequence 序列指数加权Differentiation of x(Z) z域微分Conjugation of a complex sequence 复序列的共轭Convolution of sequence 序列的卷积Initial-value theorem 初值定理The order of summation 求和的顺序Orthogonality 正交性Duality 二元性Modulo 以……为模Symmetry 对称性Impulse 脉冲Switchboard 交换台交换板Verbal 语言Copper 铜线Antenna 天线Teleprinter 电传打印机Data bank 数据库Propagate 传播Channel 通道Baseband 基带Modulation 调制Demodulation 解调反调制Sinusoid 正弦曲线Carrier 载波Modulator 调制器Demodulator解调器Bandpass 带通Frequency 频分多路转换Lowpass 低通Amplitude modulation 幅度调制Double-sideband modulation 双边带调制Single-sideband modulation 单边带调制Vestigial sideband modulation 残留边带调制Quadrature amplitude modulation 正交调幅Frequency modulation 调频Phase modulation 调相Detector 探测器Passband 通频带Automatic gain control 自动增益控制Superheterodyne receiver 超外差式收音机Matched filter 匹配滤波器Intersysmbol interference 符号间干扰码间干扰Synchronize 同时发生Line code 一行代码Unipolar 单极的Non-return-to-zero 不归零Quantize 量化数字转换Pulse-amplitude modulation 脉冲幅调制Pulse-width modulation 脉宽调制Pulse-position modulation 脉位调制Pulse-code modulation 脉冲码调制Differential PCM 差动式脉马灯Computer-aided instruction 计算机辅助教学Synth 合成Frame 帧Playback 回放Synthesizer 合成器Retention 保存Musical instrument digital interface 乐器数字接口Buzzword 流行词VCR vedio cassette recorder 录像机Mixer 混频器Full-motion vedio 视频素材全运动图像Resolution 分辨率Data compression 数据压缩Remotely 远程的Graphical 图解的生动的Facility 设备Peripheral 外围的不重要的Cluster 群簇集群Subnet 子网Connectivity 联通性Ethernet 以太网Token ring 令牌环网Collective 集体的共同的Distributed 分布的Asynchronous transfer mode 异步传输模式Frame relay 帧中继Configuration 配置Layout 布局Peer-to-peer network 对等网络Spreadsheet 电子表格Client、sever network 客户机、服务器网络Virtual 虚拟的Hybrid 混合的Collision 冲突Mainframe computer 主计算机Hub 集线器Expandablility 可扩充性Route 路由Broadcast 广播Clockwise 顺时针Anticlockwise 逆时针方向的Medium access control 媒体访问控制Bandwidth 带宽Twisted-pair cable 双绞线Coaxial cable 同轴电缆Optical fibre cable 光纤Shielded twisted-pair 屏蔽双绞线Wrapper 外壳Interference 干扰Cabling 布线Crossover cable 交叉线Straight-through cable 直通线Retain 保留Insulation 绝缘Electromagnetic 电磁干扰Crosstalk 串话干扰Susceptibility 敏感度Modify 修改更正Switch 交换机Gateway 网关Destined 指定的Switch table 交换表Routing table 路由表Propagate 传播Radio frequency 无线电频率Access point 接入点Functionality 功能性Accommodate 调节和解Alternative 替换物Protocol 协议Layer 层Well-defined 定义明确的Abstraction 抽象观念Unwieldy 笨重的不实用的Raw 原始的Nansecond 纳秒Simultaneously 同时的联立的Sequentially 相继的连续的Drown 淹没Buffer 缓冲区Flow regulation 流量调节Static 静态的Dynamic 动态的Bottleneck瓶颈Congestion 拥挤Jitter 抖动Addressing 寻址Heterogeneous 异种的异构的Nonexistent 不存在的Error-free 无错误的Delivery 递交交付Multiple 多重的多路的Chained 链接的Session 会话对话Synchronization 同步的Crash 崩溃Syntax 语法Semantics 语义学http hyper text transfer protocol 超文本传输协议world wide web 万维网。
大二统计学知识点总结双语
大二统计学知识点总结双语Statistics is a fundamental subject for students majoring in mathematics, economics, and many other fields. In the second year of college, students delve deeper into statistical concepts and methods. In this article, we will summarize the key knowledge points of second-year statistics in both Chinese and English.1. 数据与变量 (Data and Variables)在统计学中,数据是指收集到的事实或观察的结果。
变量是研究中所关注的特征或属性。
数据可以分为定量数据和定性数据两种。
定量数据通常以数字形式表示,而定性数据描述的是非数量性质的特征。
In statistics, data refers to the facts or observations that have been collected. Variables are the characteristics or attributes of interest in a study. Data can be categorized into quantitative data and qualitative data. Quantitative data is usually expressed in numerical form, while qualitative data describes non-quantitative features.2. 描述统计学 (Descriptive Statistics)描述统计学是对已有数据进行总结、展示和分析的方法。
概率与统计英语
《概率论与数理统计》大体名词中英文对照表英文中文Probability theory 概率论mathematical statistics 数理统计deterministic phenomenon 确信性现象random phenomenon 随机现象sample space 样本空间random occurrence 随机事件fundamental event 大体事件certain event 必然事件impossible event 不可能事件random test 随机实验incompatible events 互不相容事件frequency 频率classical probabilistic model 古典概型geometric probability 几何概率conditional probability 条件概率multiplication theorem 乘法定理Bayes's formula 贝叶斯公式Prior probability 先验概率Posterior probability 后验概率Independent events 彼此独立事件Bernoulli trials 贝努利实验random variable 随机变量probability distribution 概率散布distribution function 散布函数discrete random variable 离散随机变量distribution law 散布律hypergeometric distribution 超几何散布random sampling model 随机抽样模型binomial distribution 二项散布Poisson distribution 泊松散布geometric distribution 几何散布probability density 概率密度continuous random variable 持续随机变量uniformly distribution 均匀散布exponential distribution 指数散布numerical character 数字特点mathematical expectation 数学期望variance 方差moment 矩central moment 中心矩n-dimensional random variable n-维随机变量two-dimensional random variable 二维离散随机变量joint probability distribution 联合概率散布joint distribution law 联合散布律joint distribution function 联合散布函数boundary distribution law 边缘散布律boundary distribution function 边缘散布函数exponential distribution 二维指数散布continuous random variable 二维持续随机变量joint probability density 联合概率密度boundary probability density 边缘概率密度conditional distribution 条件散布conditional distribution law 条件散布律conditional probability density 条件概率密度covariance 协方差dependency coefficient 相关系数normal distribution 正态散布limit theorem 极限定理standard normal distribution 标准正态散布logarithmic normal distribution 对数正态散布covariance matrix 协方差矩阵central limit theorem 中心极限定理Chebyshev's inequality 切比雪夫不等式Bernoulli's law of large numbers 贝努利大数定律statistics 统计量simple random sample 简单随机样本sample distribution function 样本散布函数sample mean 样本均值sample variance 样本方差sample standard deviation 样本标准差sample covariance 样本协方差sample correlation coefficient 样本相关系数order statistics 顺序统计量sample median 样本中位数sample fractiles 样本极差sampling distribution 抽样散布parameter estimation 参数估量estimator 估量量estimate value 估量值unbiased estimator 无偏估量unbiassedness 无偏性biased error 误差mean square error 均方误差relative efficient 相对有效性minimum variance 最小方差asymptotic unbiased estimator 渐近无偏估量量uniformly estimator 一致性估量量moment method of estimation 矩法估量maximum likelihood method of estimation 极大似然估量法likelihood function 似然函数maximum likelihood estimator 极大似然估量值interval estimation 区间估量hypothesis testing 假设查验statistical hypothesis 统计假设simple hypothesis 简单假设composite hypothesis 复合假设rejection region 拒绝域acceptance domain 同意域test statistics 查验统计量linear regression analysis 线性回归分析1 概率论与数理统计辞汇英汉对照表Aabsolute value 绝对值accept 同意acceptable region 同意域additivity 可加性adjusted 调整的alternative hypothesis 对立假设analysis 分析analysis of covariance 协方差分析analysis of variance 方差分析arithmetic mean 算术平均值association 相关性assumption 假设assumption checking 假设查验availability 有效度average 均值Bbalanced 平衡的band 带宽bar chart 条形图beta-distribution 贝塔散布between groups 组间的bias 偏倚binomial distribution 二项散布binomial test 二项查验Ccalculate 计算case 个案category 类别center of gravity 重心central tendency 中心趋势chi-square distribution 卡方散布chi-square test 卡方查验classify 分类cluster analysis 聚类分析coefficient 系数coefficient of correlation 相关系数collinearity 共线性column 列compare 比较comparison 对照components 组成,分量compound 复合的confidence interval 置信区间consistency 一致性constant 常数continuous variable 持续变量control charts 操纵图correlation 相关covariance 协方差covariance matrix 协方差矩阵critical point 临界点critical value 临界值crosstab 列联表cubic 三次的,立方的cubic term 三次项cumulative distribution function 累加散布函数curve estimation 曲线估量Ddata 数据default 默许的definition 概念deleted residual 剔除残差density function 密度函数dependent variable 因变量description 描述design of experiment 实验设计deviations 不同df.(degree of freedom) 自由度diagnostic 诊断dimension 维discrete variable 离散变量discriminant function 判别函数discriminatory analysis 判别分析distance 距离distribution 散布D-optimal design D-优化设计Eeaqual 相等effects of interaction 交互效应efficiency 有效性eigenvalue 特点值equal size 等含量equation 方程error 误差estimate 估量estimation of parameters 参数估量estimations 估量量evaluate 衡量exact value 精准值expectation 期望expected value 期望值exponential 指数的exponential distributon 指数散布extreme value 极值Ffactor 因素,因子factor analysis 因子分析factor score 因子得分factorial designs 析因设计factorial experiment 析因实验fit 拟合fitted line 拟合线fitted value 拟合值fixed model 固定模型fixed variable 固定变量fractional factorial design 部份析因设计frequency 频数F-test F查验full factorial design 完全析因设计function 函数Ggamma distribution 伽玛分布geometric mean 几何均值group 组Hharmomic mean 调和均值heterogeneity 不齐性histogram 直方图homogeneity 齐性homogeneity of variance 方差齐性hypothesis 假设hypothesis test 假设查验Iindependence 独立independent variable 自变量independent-samples 独立样本index 指数index of correlation 相关指数interaction 交互作用interclass correlation 组内相关interval estimate 区间估量intraclass correlation 组间相关inverse 倒数的iterate 迭代Kkernal 核Kolmogorov-Smirnov test柯尔莫哥洛夫-斯米诺夫查验kurtosis 峰度Llarge sample problem 大样本问题layer 层least-significant difference 最小显著差数least-square estimation 最小二乘估量least-square method 最小二乘法level 水平level of significance 显著性水平leverage value 中心化杠杆值life 寿命life test 寿命实验likelihood function 似然函数likelihood ratio test 似然比查验linear 线性的linear estimator 线性估量linear model 线性模型linear regression 线性回归linear relation 线性关系linear term 线性项logarithmic 对数的logarithms 对数logistic 逻辑的lost function 损失函数Mmain effect 主效应matrix 矩阵maximum 最大值maximum likelihood estimation 极大似然估量mean squared deviation(MSD) 均方差mean sum of square 均方和measure 衡量media 中位数M-estimator M估量minimum 最小值missing values 缺失值mixed model 混合模型mode 众数model 模型Monte Carle method 蒙特卡罗法moving average 移动平均值multicollinearity 多元共线性multiple comparison 多重比较multiple correlation 多重相关multiple correlation coefficient 复相关系数multiple correlation coefficient 多元相关系数multiple regression analysis 多元回归分析multiple regression equation 多元回归方程multiple response 多响应multivariate analysis 多元分析Nnegative relationship 负相关nonadditively 不可加性nonlinear 非线性nonlinear regression 非线性回归noparametric tests 非参数查验normal distribution 正态散布null hypothesis 零假设number of cases 个案数Oone-sample 单样本one-tailed test 单侧查验one-way ANOVA 单向方差分析one-way classification 单向分类optimal 优化的optimum allocation 最优配制order 排序order statistics 顺序统计量origin 原点orthogonal 正交的outliers 异样值Ppaired observations 成对观测数据paired-sample 成对样本parameter 参数parameter estimation 参数估量partial correlation 偏相关partial correlation coefficient 偏相关系数partial regression coefficient 偏回归系数percent 百分数percentiles 百分位数pie chart 饼图point estimate 点估量poisson distribution 泊松散布polynomial curve 多项式曲线polynomial regression 多项式回归polynomials 多项式positive relationship 正相关power 幂P-P plot P-P概率图predict 预测predicted value 预测值prediction intervals 预测区间principal component analysis 主成份分析proability 概率probability density function 概率密度函数probit analysis 概率分析proportion 比例Qqadratic 二次的Q-Q plot Q-Q概率图quadratic term 二次项quality control 质量操纵quantitative 数量的,气宇的quartiles 四分位数Rrandom 随机的random number 随机数random number 随机数random sampling 随机取样random seed 随机数种子random variable 随机变量randomization 随机化range 极差rank 秩rank correlation 秩相关rank statistic 秩统计量regression analysis 回归分析regression coefficient 回归系数regression line 回归线reject 拒绝rejection region 拒绝域relationship 关系reliability 靠得住性repeated 重复的report 报告,报表residual 残差residual sum of squares 剩余平方和response 响应risk function 风险函数robustness 稳健性root mean square 标准差row 行run 游程run test 游程查验Ssample 样本sample size 样本容量sample space 样本空间sampling 取样sampling inspection 抽样查验scatter chart 散点图S-curve S形曲线separately 单独地sets 集合sign test 符号查验significance 显著性significance level 显著性水平significance testing 显著性查验significant 显著的,有效的significant digits 有效数字skewed distribution 偏态散布skewness 偏度small sample problem 小样本问题smooth 滑腻sort 排序soruces of variation 方差来源space 空间spread 扩展square 平方standard deviation 标准离差standard error of mean 均值的标准误差standardization 标准化standardize 标准化statistic 统计量statistical quality control 统计质量操纵std. residual 标准残差stepwise regression analysis 慢慢回归stimulus 刺激strong assumption 强假设stud. deleted residual 学生化剔除残差stud. residual 学生化残差subsamples 次级样本sufficient statistic 充分统计量sum 和sum of squares 平方和summary 归纳,综述Ttable 表t-distribution t散布test 查验test criterion 查验判据test for linearity 线性查验test of goodness of fit 拟合优度查验test of homogeneity 齐性查验test of independence 独立性查验test rules 查验法那么test statistics 查验统计量testing function 查验函数time series 时刻序列tolerance limits 允许限total 总共,和transformation 转换treatment 处置trimmed mean 截尾均值true value 真值t-test t查验two-tailed test 双侧查验Uunbalanced 不平衡的unbiased estimation 无偏估量unbiasedness 无偏性uniform distribution 均匀散布Vvalue of estimator 估计值variable 变量variance 方差variance components 方差分量variance ratio 方差比various 不同的vector 向量Wweight 加权,权重weighted average 加权平均值within groups 组内的ZZ score Z分数。
K-matrices for 2D conformal field theories
2
E. ARDONNE, P. BOUWKNEG topological properties of (fractional) quantum Hall states are also encoded in matrices, which turned out to be the same as the K-matrices alluded to in the above. In the abelian states, the entries correspond to the coupling parameters of the Chern-Simons fields which appear in the effective action of the quantum Hall system (see, in particular [47], and references therein). The Chern-Simons term effectively changes the statistics of the matter fields, making the relation between with the exclusion statistics plausible. More details on this relation can be found in [3]. The basis used in the description of certain classes of non-abelian quantum Hall states is found to be useful in the context of general affine Lie algebra CFTs as well. One of the reasons that this basis is useful relates to the presence of a duality, which relates the ‘electron-like’ particles to the quasiparticles (the notion of electron-like and quasiparticles will be explained in Section 2.1.4). Moreover, there is no mutual statistics between these two types of particles. As this structure simplifies the study of the conformal field theories, we will use this type of basis throughout this paper. One of the main themes in this paper will be the determination of the K-matrices for the affine Lie algebra CFTs. We will develop a scheme which is used to find the general Kmatrices. The main idea is to use ‘abelian coverings’ of the (in general non-abelian) CFTs, and project out some degrees of freedom. Having obtained the K-matrices, we will propose a scheme to obtain the K-matrices for conformal field theories which are of the coset form. We will address the diagonal cosets, as well the parafermion CFTs, related to the affine Lie algebra CFTs. Another application are the Kostka-polynomials (see, e.g., [34, 35], and references therein), which can also be described in terms of the K-matrices. In more detail, the outline of this paper is as follows. We start with a general introduction to the role of the K-matrix in 2D conformal field theories in Section 2. We will review some results concerning the Universal Chiral Partition Function and the relation with exclusion statistics. The structure of the basis of quasiparticles which will be used throughout this paper is explained. We will end Section 2 by explaining the relation between the pseudoparticles and the fusion rules of CFTs. In Section 3 we will explain the tools we will use in determining the K-matrices for a general affine Lie algebra. The idea is to embed the level-k affine Lie algebra in k copies of the level-1 version, and project out certain degrees of freedom, by using what we call a P-transformation. In Section 4, we will explicitly give the K-matrices for all the simple (untwisted) affine Lie algebras. We will apply these results to obtain K-matrices for cosets in Section 5. Finally, in Section 6, we will present some new results on level restricted Kostka polynomials related to affine Lie algebras. Some of the details are presented in the Appendices. Appendix A deals with some notational issues, and explicitly gives all the Cartan matrices and there inverses. Appendices B and C deal with the K-matrices for so(5)1 and G2,1 respectively, while Appendix D relates two different bases for sl(3)k .
Quasiperiodic Spectra and Orthogonality for Iterated Function System Measures
Abstract. We extend classical basis constructions from Fourier analysis to attractors for affine iterated function systems (IFSs). This is of interest since these attractors have fractal features, e.g., measures with fractal scaling dimension. Moreover, the spectrum is then typically quasi-periodic, but non-periodic, i.e., the spectrum is a “small perturbation” of a lattice. Due to earlier research on IFSs, there are known results on certain classes of spectral duality-pairs, also called spectral pairs or spectral measures. It is known that some duality pairs are associated with complex Hadamard matrices. However, not all IFSs X admit spectral duality. When X is given, we identify geometric conditions on X for the existence of a Fourier spectrum, serving as the second part in a spectral pair. We show how these spectral pairs compose, and we characterize the decompositions in terms of atoms. The decompositions refer to tensor product factorizations for associated complex Hadamard matrices.
著名的微积分学英文文献
著名的微积分学英文文献As a language model, I am here to fulfill your request and create a document on renowned calculus literature. Let's delve into the rich history and milestones of mathematical analysis, the foundation of calculus, in its English language publications.Calculus, the branch of mathematics that deals with rates of change and accumulation, has a long and storied legacy. Its origins can be traced back to the works of Sir Isaac Newton and Gottfried Wilhelm Leibniz, who independently developed the principles in the late 17th century. The first significant English literature in this field emerged during this period.Newton's "Principia Mathematica" (1687) is a groundbreaking treatise that introduced calculus as a tool for physics. Here, he presented the laws of motion and universal gravitation, using calculus to describe the behavior of celestial bodies. His clarity and mathematical rigor set the standard for future calculus texts. The book, though initially in Latin, was later translated into English by John Flamsteed and Henry Pembroke.Leibniz, on the other hand, published "De Geometria" (1684) and "Nova Methodus Protractendi Rationibus ad Infinitas" (1684), which introduced the calculus as a calculus differentia and integral. His notation, the "calculus ratiocinator," was more symbolic and algebraic, emphasizing the analytical nature of the subject. His work, though not as widely known in English at first, was later translated and acknowledged by Euler.The English mathematician Isaac Barrow, often referred to as "the first English calculus teacher," played a crucial role in popularizing the subject. His lectures and textbooks, such as "Treatise of Fluxions" (1670), helped bridge the gap between Newton's and Leibniz's ideas. However, it was the work of another English mathematician, James Gregory, who in "Tractatus Geometricus" (1675) provided a more rigorous treatment of calculus, particularly in the analysis of curves.The 18th century saw the rise of continental mathematicians, like Leonhard Euler, who significantly contributed to calculus. His "Introductio in Analysin Infinitorum" (1748) is a comprehensive and influential text that covers a wide range of calculus topics. Euler's work, with its clarity and extensive applications, solidified calculus as a central discipline in mathematics.The 19th century saw the maturation of calculus, with the works of Bernhard Riemann, who introduced the concept of Riemann surfaces and developed the foundations of complex analysis, and the later development of vector calculus by William Rowan Hamilton and Carl Friedrich Gauss. Books like "Elementary Calculus" by Thomas习区纳 (1826) and "Calculus" by George Green (1828) further popularized the subject for a wider audience.In conclusion, the evolution of calculus in English literature reflects the intellectual growth and synthesis of ideas from Newton, Leibniz, and their contemporaries. These works not only established calculus as a fundamental branch of mathematics but also shaped its subsequent development and its profound impact on science and engineering. The rich history of calculus in English is a testament to the enduring influence of mathematical thinking on our understanding of the world.。
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In some earlier papers [7, 8] we have analyzed the sequence of quantum Hall states from the viewpoint of chiral anomaly and Berry phase. To this end, we have taken quantum Hall states on the two dimensional surface of a 3D sphere with a magnetic monopole of strength µ at the centre. In this spherical geometry, we can analyze quantum Hall states in terms of spinor wave functions and take advantage of the analysis in terms of chiral anomaly which is associated with the Berry phase. In this geometry the angular momentum relation is given by J = r × p − µˆ r, µ = 0, ± 1/2, ± 1, ± 3/2, ......... Yℓm,µ (1)
arXiv:cond-mat/0402407v1 [cond-mat.mes-hall] 16 Feb 2004
Statistics of Quasiparticles in Fractional Quantum Hall States
B. Basu∗ and P. Bandyopadhyay†
Physics and Applied Mathematics Unit Indian Statistical Institute Kolkata-700108 Abstract We have considered here the statistics parameter for quasiparticles in FQH states from an analysis of these states in the framework of chiral anomaly and Berry phase. It is shown that we have a generalized relation such that the statistical phase of a quasiparticle for FQH states at ν = p/q with p(q ) even or odd, is given by eiπθ with θ = p/q and the charge is −e p . The statistics parameter for q a quasihole is identical with that of a quasiparticle and the charge is of opposite sign.
∗ Electronic † Electronic
address: banasri@isical.ac.in address: pratul@isical.ac.in
2 Here we shall address the problem of statistics in a heuristic manner on the basis of analysis of FQH states in the framework of chiral anomaly and Berry phase. From a calculation of the Berry phase of a quasiparticle (quasihole) encircling another quasiparticle (quasihole) we shall show that the charge and n statistics parameter for quasiparticles at ν = 2mn ±1 with m, n posotive integers are given by - νe and n respectively. For quasiholes the statistics parameter is identical with that of the quasiparticle and 2mn±1 the charge has the opposite sign. In sec. 2 we shall recapitulate certain features of the FQH states analysed from the Berry phase approach. In sec. 3 we shall calculate the statistics parameter for quasiparticles (quasiholes) for FQH states at different filling factors.
PACS numbers: 73.43.-f; 73.43.Cd; 03.65.Vf
I.
INTRODUCTION
பைடு நூலகம்
In a seminal paper [1] Arovas, Schrieffer and Wilczek derived the statistics of the quasiholes at ν = 1/m, m odd in a Berry phase calculation. They examined the Berry phase corresponding to one quasihole encircling the origin and interpreted this as the Aharanov-Bohm phase. The charge was found to be e/m. Considering a pair of quasiholes encircling one another they found the statistics parameter to have the value 1/m. The Laughlin quasielectrons were examined along the same line [2] and within certain approximations, the charge and statistics parameter were found to have the values −e/m and 1/m respectively. Kjonsberg and Myrheim [3] have argued that for FQH states the quasiparticles(qp) at ν = 1/m, m odd, do not possess well defined statistics. Their numerical studies show that at ν = 1/3 the charge and statistics parameter for quasiholes(qh) are e/3 and 1/3 respectively. However, for the quasiparticles though a slow convergence towards the expected value of the charge −e/3 is observed with a finite size correction for N electrons, the statistics parameter has no well defined value even for 200 electrons but might possibly converge to 1/3. Johnson and Canright [4] examined the exclusion statistics parameter considering state counting based on numerical simulations for interacting electrons on a sphere. It is found that the one dimensional 1 ). The exclusion statistics parameter for quasiholes is 1/m while for quasielectrons the value is (2 − m exclusion statistics parameter is the same parameter as is obtained from Berry phase analysis with an opposite sign for the quasielectrons since their charge is negative. This implies that the exclusion statistics 1 1 parameter is 1/m for quasiholes and (−2 + m ) for quasielectrons. Though the values 1/m and −2 + m 1 represent the same particle statistics, their states are different, 1/m state singular and −2 + m state nonsingular. In the composite fermion (CF) scenario Kjonsberg and Leinaas [5] calculated the statistics of the unprojected CF quasiparticle at ν = 1/m, the wave function of which is different from Laughlin function, and observed a definite value though the sign is inconsistent with general considerations. Jeon, Graham and Jain [6] have confirmed that the statistics is robust to projection into the lowest Landau level and argued that the sign enigma has its origin in very small perturbations in the trajectory due to the insertion of an additional CF quasiparticle. These authors have numerically studied the statistics of the composite fermion quasiparticles at ν = 1/3 and ν = 2/5 by evaluating the Berry phase for a closed loop encircling 2 another CF quasiparticle and the statistics parameters were found to be − 2 3 and − 5 respectively. The negative sign has been attributed to the fact that there is an inter-CF interaction which is weak and often attractive and involves a significant overlap of CF quasiparticles causing small perturbation in the trajectory.