Seeking the Equation of State of Non-Compact Lattice QED
Ti-Nspire使用指南说明书
Guide to Using the Ti-nspire for Methods - The simple and the overcomplicated – Version 1.5Ok guys and girls, this is a guide/reference for using the Ti-nspire for Mathematical Methods CAS. It will cover the simplest of things to a few tricks. This guide has been written for Version 3.1.0.392. To update go to /calculators/downloads/US/Software/Detail?id=6767Simple things will have green headings, complicated things and tricks will be in red. Firstly some simple things. Also Note that for some questions, to obtain full marks you will need to know how to do this by hand.Solve, Factor & ExpandThese are the basic functions you will need to know.Open Calculate (A)Solve: [Menu] [3] [1] – (equation, variable)|DomainFactor: [Menu] [3] [2] – (terms)Expand: [Menu] [3] [3] – (terms)MatricesMatrices can be used as an easy way to solve the ‘find the values of m for which there is zero or infinitely many solutions’ questions. When the equations ax+by=c and dx+ey=f are expressed as a matrix , letting the determinant equal to 0 will allow you to solve for m.E.g. Find the values of m for which there is no solutions or infinitely many solutions for the equations2x+3y=4 and mx+y=1Determinant: [Menu] [7] [3] Enter in matrix representing the coefficients, solve for det()=0. RememberRemember to plug back in todifferentiate between the solutions forno solutions and infinitely manysolutions.Modulus FunctionsWhile being written as || on paper, the function for the modulus function is abs() (or absolute function). i.e. just add in abs(function)For example andDefining DomainsWhile graphing or solving, domains can be defined by the addition of |lowerbound<x<upperboundThe less than or equal to and greater than or equal to signs can be obtained by pressing ctrl + < or >e.g. Graph forEnter into the graphs barThis is particulary useful for fog and gof functions, when a domain is restriced, the resulting function’s domain will also be restricted.E.g. Find the equation of when and1. Define the two equations in the Calulate page. [Menu] [1] [1]2. Open a graph page and type, f(g(x)) into the graph barThe trace feature can be used to find out the range and domain. Trace: [Menu] [5] [1]Here where the Domain = (-1.5,1] and Range =[0,4)Completing the SquareThe easy way to find the turning point quickly. The Ti-nspire has a built in function for completing the square. [Menu] [3] [5] - (function,variable)e.g. Find the turning point ofSo from that the turning point will be at (-2,1)Easy Maximum and MinimumsIn the newer version of the Ti-nspire OS, there are functions to find maximum, minimums, tangent lines and normal lines with a couple of clicks, good for multiple choice, otherwise working would need to be shown. You can do some of these visually on the graphing screen or algebraically in the calculate window. Maximums: [Menu] [4] [7] – (terms, variable)|domainMinimums: [Menu] [4] [8] – (terms, variable)|domainE.g. Find the values of x for which has a maxmimum and a minimum forTangents at a point: [Menu] [4] [9] – (terms, variable, point)Normals at a point: [Menu] [4] [A] - (terms, variable, point)E.g. Find the equation of the tangent and the normal to the curve whenFinding Vertical AsymptotesVertical Asymptotes occur when the function is undefined at a given value of x, i.e. when anything is divided by 0. We can manipulate this fact to find vertical asymptotes by letting the function equal and solving for x.e.g. Find the vertical asymptotes for andSo for there is a vertical asymptote at and for atDon’t forget to find those other non-vertical asymptotes too.The x-y Function TestEvery now and then you will come across this kind of question in a multiple choice section.If , which of the following is true?A.B.C.D.E.You could do it by hand or do it by calculator. The easiest way is to define the functions and solve the condition for x, then test whether the option is true. If true is given, it is true otherwise it is false.So option B is correct.The Time Saver for DerivativesBy defining, f(x) and then defining df(x)= the derivative, you won’t have to continually type in the derivative keys and function. It also allows you to plug in values easily into f’(x) and f’’(x).Derivative: [Menu] [4] [1]E.g. Find the derivative ofDefine f(x), then define df(x)The same thing can be done for the double derivative.Just remember to redefine the equations or use a different letter, e.g. g(x) and dg(x)Solving For Coefficients Using Definitions of FunctionsInstead of typing out big long strings of equations and forgetting which one is the antiderivative and which one is the original, defined equations can be used to easily and quickly solve for the coefficients.E.g. An equation of the form cuts the x-axis at (-2,0) and (2,0). It cuts the y-axis at (0,1) and has a local maximum when . Find the values of a, b, c & d.1. Define (Make sure you put a multiplication sign between the letters)2. Define the derivative of the f(x) i.e. df(x)3. Use solve function and substitute values in, solve for a, b, c & d.So and the equation of the curve isDeriving Using the Right ModeThe derivative of circular functions are different for radians and degrees. Remember to convert degrees to radians and be in radian mode, as the usual derivatives that you learn e.g. are in radians NOT degrees.RADIAN MODE DEGREES MODEGetting Exact Values On the Graph ScreenNow for what you have all been dreaming of. Exact values on the graphing screen. Now the way to do this isa little bit annoying.1. Open up a graph window2. Plot a function e.g.3. Trace the graph using [Menu] [5] [1]4. Trace right till you hit around 0.9 or 1.2 and click the middle button to plot the point.5. Press ESC6. Move the mouse over the x-value and click so that it highlights, then move it slightly to the right and click again. Clear the value and enter in ½.Using tCollect to simplify awkward expressionsSometimes the calculator won’t simplify something the way we want it to. tCollect simplifies expressions that involves trigonometric powers higher than 1 or lower than -1 to linear trigonometric expressions.Streamlined Markov ChainsFor questions that require the use of the T transition matrix more than once, the following methods can be used to save time so that the T matrix does not need to be repeatedly inputted or copied down.1. Define the T matrix as t.2. Define the initial state matrix as s.3. Evaluate by substituting t and s in with the appropriate powers.E.g. For the Transition matrix and initial state , find andBinomial DistributionsFor a single value of x e.g. Pr(X=2) = [Menu] [5] [5] [D] (Pdf)For multiple values of x e.g. Pr(X<2) = [Menu] [5] [5] [E] (Cdf)e.g. Probability of Success = 0.4, Number of trials =10, i.e. X~Bi(10,0.4)Find the probability of two successes and less than two successesPr(X=2)=0.1209, Pr(X<2)=0.0464Normal DistributionsThe probability will correspond to the area under the Normal distribution curve.From (use ctrl + i)(or lowest bound) to value = [Menu] [5] [5] [1] (Pdf)From lower value to higher value = [Menu] [5] [5] [2] (Cdf)e.g. The probability of X is given by the Normal Distribution with i.e. X~N(0,1)Find Pr(X<1) and Pr(0<X<1)Pr(X<1)=0.2420, Pr(0<X<1)=0.3413IntegralsUsing the integral function and solve function for probability distributions. The area under a probability distribution function must equal 1, so if we are given a function multiplied by a k constant, we can antidifferentiate the function and solve for k.Integral: [Menu] [4] [3]E.g. If is given by , find the value of k if f(x) is to be a probability density function.Shortcut KeysCopy: Ctrl left or right to highlight, [Ctrl] + [c]Paste: [Ctrl] + [v]Insert Derivative: [CAPS] + [-]Insert Integral: [CAPS] + [+]: [Ctrl] + [i]Thanks to Jane1234 & duquesne9995 for the shortcut keys. Thanks to Camo and SamiJ for finding the errors.。
奈奎斯特定理的英文
奈奎斯特定理的英文The Nyquist Theorem, also known as the Nyquist Sampling Theorem, is a fundamental principle in the field of signal processing and telecommunications. It was first formulated by Harry Nyquist in 1928 and later expanded upon by Claude Shannon in his groundbreaking work on information theory.The theorem states that in order to perfectly reconstruct a continuous-time signal from its samples, the sampling rate must be at least twice the highest frequency present in the signal. This minimum rate is referred to as the Nyquist rate. If the sampling rate falls below this threshold, a phenomenon known as aliasing occurs, where the sampled signal becomes a distorted version of the original signal.The importance of the Nyquist Theorem lies in its application to digital signal processing, where analog signals must be converted into digital form for processing and storage. By adhering to the theorem's guidelines, engineers can ensure that the digital representation of an analog signal is accurate and free from aliasing.In practice, the Nyquist Theorem has implications for a wide range of technologies, from audio recording and broadcasting to medical imaging and seismology. It is a cornerstone concept that underpins the design of sampling systems and the development of anti-aliasing filters, which are used to prevent aliasing before the sampling process.The theorem also has a direct impact on the capacity of communication channels. In digital communication systems, understanding the relationship between the sampling rate and the frequency content of signals is crucial for maximizing the amount of information that can be transmitted without error.In summary, the Nyquist Theorem is a foundational principle that guides the process of sampling and reconstructing signals in digital systems. It ensures that high-quality digital representations of analog signals can be achieved, provided that the sampling rate is sufficiently high. This theorem has far-reaching applications and continues to be a key concept in the advancement of digital technology.。
Stochastics and Dynamics c ○ World Scientific Publishing Company OPTIMAL PERTURBATION OF U
Stochastics and Dynamicsc World Scientific Publishing CompanyOPTIMAL PERTURBATION OF UNCERTAIN SYSTEMSBRIAN F.FARRELL∗Division of Engineering and Applied Sciences,Harvard UniversityPierce Hall,29Oxford Street,Cambridge,MA02138,U.S.A.PETROS J.IOANNOU†Physics Department,Capodistrian and National University of AthensPanepistimiopolis,15784Zografos,GreeceReceived(received date)Revised(revised date)In studies of perturbation dynamics in physical systems certain specification of the gov-erning perturbation dynamical system is generally lacking,either because the perturba-tion system is imperfectly known or because its specification is intrinsically uncertain,while a statistical characterization of the perturbation dynamical system is often avail-able.In this report exact and asymptotically valid equations are derived for the ensemblemean and moment dynamics of uncertain systems.These results are used to extend theconcept of optimal deterministic perturbation of certain systems to uncertain systems.Remarkably,the optimal perturbation problem has a simple solution:in uncertain sys-tems there is a sure initial condition producing the greatest expected second momentperturbation growth.Keywords:List four to six.1.IntroductionLinear stability theory has been extensively studied because of its role in advancing understanding of a wide range of physical phenomena related to the structure and growth of perturbations to dynamical systems.Historically,linear stability theory was developed using the method of modes(Rayleigh[13]).However,the method of modes is incomplete for understanding perturbation growth even for autonomous systems because the non-normality of the linear operator in physical problems often produces transient development of a subset of perturbations that dominates the physically relevant growth processes(Farrell[4]).Recognition of the role of non-normality in linear stability led to the development of Generalized Stability Theory (Farrell and Ioannou[6]).Compared to the methods of modes,the methods of Generalized Stability Theory,which are based on the non-normality of the linear operator,allow a far wider class of stability problems to be addressed including ∗farrell@†pji@cc.uoa.grB.F.Farrell,P.J.Ioannouperturbation growth associated with aperiodic time dependent certain operators to which the method of modes does not apply(Farrell and Ioannou[7]).The problems to which Generalized Stability Theory has been applied hereto-fore involve growth of perturbations in a system with no time dependence or a system with known time dependence;perturbations to these systems may be sure or stochastically distributed and may be imposed at the initial time,or distributed continuously in time,but the operator to which the perturbation is applied is con-sidered to be certain and the problem is that of the stability of a certain operator. However,it may happen that we either do not have complete knowledge of the system that is being perturbed or that exact specification may be inappropriate to the physical system in which case the problem is to determine the stability of an uncertain operator.In Generalized Stability Theory the perturbation produc-ing greatest growth plays a central role in quantifying the stability of the system. In this report we obtain exact dynamical equations for the perturbation ensemble mean and covariance and use these results to obtain the optimal perturbation to uncertain systems.2.Exact equations for the ensemble meanConsider the uncertain linear system for the vector stateψ:dψ=Aψ+ η(t)Bψ(2.1)dtwhere A is the ensemble mean matrix,η(t)is a stochastic process with zero mean, B is the matrix of thefluctuation structure and is an amplitude parameter.Equa-tions for the evolution of the ensemble meanfield,<ψ(t)>,and for the ensemble mean covariance,<ψi(t)ψ∗j(t)>,can be readily obtained ifηis a white noise pro-cess(Arnold[1]).Although it is a great advantage for analysis to assume thatηis a white noise process,this assumption is often hard to justify in physical contexts because the uncertainties in physical operators are often red and because white noise processes producing non-vanishing variance in(2.1)have unboundedfluctua-tions that in a physical context would imply,for example,infinite wind speeds or unbounded negative damping rates.Approximate dynamical equations for the ensemble meanfield evolving under uncertain dynamics and not restricted to white noise stochastic processes have been obtained by Bourret[2],Keller[8],Papanicolaou and Keller[11]and Van Kampen [14].These approximations are accurate for small Kubo number K= t c,where t c is the autocorrelation time of the stochastic processη(t).In addition,exact evolution equations for the ensemble mean can be obtained whenη(t)is a telegraph process;results which are discussed in Brissaud&Frisch[3].Finally,making use of the properties of cumulant expansions it is possible to obtain an exact expression for the evolution of the ensemble mean covariance for the case in whichη(t)is a Gaussian process as follows:Theorem2.1.Ifη(t)is a Gaussian stochastic process with zero mean,unit vari-ance,and autocorrelation time t c=1/νso that<η(t1)η(t2)>=exp(−ν|t1−t2|)Optimal Perturbation of Uncertain Systems then the ensemble mean of the stochastic equation(2.1)obeys the deterministic equa-tion:d<ψ>dt =A+ 2B D(t)<ψ>,(2.2)whereD(t)=te A s B e−A s e−νs ds.(2.3) Proof.Consider the interaction perturbationφ(t)defined byψ(t)≡e A tφ(t),(2.4) in which Eq.(2.1)becomes:dφdt= η(t)e−A t B e A tφ= η(t)H(t)φ,(2.5) whereH(t)≡e−A t B e A t.(2.6) For a sure initial perturbation we haveφ(0)=ψ(0)and the interaction perturbation at time t is:φ(t)=G(t)ψ(0),(2.7) with the fundamental matrix G(t)given byG(t)=I+t0η(t1)H(t1)dt1+ 2tdt1t1dt2η(t1)H(t1)η(t2)H(t2)+···(2.8)This expression for the fundamental matrix defines the time-ordered exponential:G(t)=exp otη(s)H(s)ds.(2.9)The subscript o denotes time ordering and the term exponential is used because Eq.(2.8)is obtained if the argument of Eq.(2.9)is expanded as an exponential with the convention that the terms are grouped in ascending time order.Note that time ordered exponentials of matrices satisfy the familiar properties of exponen-tials of scalars even for matrices that do not commute;for example,we can write exp o(H(t1)+H(t2))=exp o(H(t1))exp o(H(t2))even if the matrices H(t1)and H(t2)do not commute if time ordering is enforced meaning that in all products H(t1)is placed to the left of H(t2).Kubo[9]has shown that the average of the time ordered exponential in Eq.(2.9)can be expanded in the cumulants ofη(t)in the same way that the exponents of ordinary stochastic processes are expanded in cumulants of their arguments:<G(t)>=exp o(F(t)),(2.10)B.F.Farrell,P.J.IoannouwhereF (t )=22! t 0 t 0dt 1dt 2<<η(t 1)η(t 2)>>H (t 1)H (t 2)+···+ 2n n ! t 0··· t 0dt 1···dt n <<η(t 1)···η(t n )>>H (t 1)···H (t n )+···,(2.11)and in which <<·>>denote the cumulants of η.Note that exp o (F (t ))in Eq.(2.10)is an abbreviation in the sense that in order to evaluate this expression we must first expand it in powers of its argument observing the time ordering.For a Gaussian process all cumulants of order higher than 2vanish and because <<η(t 1)η(t 2)>>=<η(t 1)η(t 2)>we obtain for this case:<G (t )>=exp o 22! t 0 t 0dt 1dt 2H (t 1)H (t 2)<η(t 1)η(t 2)> =exp o 22! t 0 t 0dt 1dt 2H (t 1)H (t 2)e −ν(t 1−t 2) .(2.12)Consequently,the ensemble average of the interaction perturbation obeys the equa-tion:d <φ>dt = 2H (t ) t 0ds H (s )e ν(t −s ) <φ>,(2.13)from which we obtain,d <ψ>dt=A <ψ>+e A t d<φ>dt =A <ψ>++ 2e A t H (t ) t 0ds H (s )e ν(t −s )e −A t <ψ>,(2.14)giving the exact evolution equation for the ensemble average perturbation:d <ψ>dt = A + 2B t 0e A s B e −A s e −νs ds <ψ>.(2.15)3.Approximate equations for the ensemble meanWe seek approximations to the ensemble mean equation (2.2)that are valid for short autocorrelation time,t c =1/ν<<1.The integrand defining the matrix D (t )given by Eq.(2.3)can be expanded ase A s B e −A s e −νs =e −νs B +s [A ,B ]+s 22![A ,[A ,B ]]+··· ,(3.16)where [A ,B ]≡AB −BA is the commutator.The ensemble mean Eq.(2.2)then takes the exact form:d <ψ>dt = A + 2B I 0B +I 1[A ,B ]+I 22![A ,[A ,B ]]+··· <ψ>,(3.17)Optimal Perturbation of Uncertain Systemswhere I n= ts n e−νs ds.Because I n+1=O(1/νn+1),for1/ν<<0the ensemblemean accurately evolves by retaining only thefirst power of1/νin Eq.(3.17).In that limit the ensemble mean equation becomes:d<ψ>dt =A+2νB2<ψ>.(3.18)This equation is identical to the ensemble mean equation obtained forη(t)a white noise process,in which case as the limitν→∞is taken thefluctuation amplitude also increases so that the ratio 2/νapproaches a constant;and Eq.(3.18)becomes the equation appropriate for a white noise processη(t)with variance2 2/νin thephysically relevant Stratonovich limit(Arnold,[1]).4.Obtaining the optimal perturbations of uncertain systemsDefinition4.1.The optimal perturbation of an uncertain linear dynamical system for time t is the unit magnitude initial(t=0)perturbation that maximizes the expected perturbation magnitude in the chosen norm at time t.The expected growth in magnitude of the optimal perturbation is called the optimal growth.For deterministic dynamical systems governed by non-normal operators the op-timal growth in the L2norm is the2-norm of the fundamental matrix evolved to time t and the optimal perturbations can be readily found by a Schmidt decom-position(singular value decomposition)of the fundamental matrix at time t.We extend this result for obtaining the optimal perturbations to take account of the uncertainty in the dynamics as follows:Theorem4.1.The optimal perturbation at time t of the uncertain dynamical sys-tem(2.1)is the eigenfunction associated with the largest eigenvalue of the Hermitian matrix<S(t)>that is obtained by integrating to time t the differential equation:d<S>dt =A+ 2E(t)B†<S>+<S>A+ 2E(t)B++ 2E(t)†<S>B+B†<S>E(t)(4.19)where,E(t)=te−A t B e A t e−νt dt ,(4.20)with initial condition<S(0)>=I.Proof.LetΦ(t,0)be the fundamental matrix associated with each realization of the operator A+ η(t)B.We seek the initial perturbation leading to greatest expected perturbation magnitude at future time,t.At time t the perturbation square amplitude for each realization of thefluctuations is:ψ†(t)ψ(t)=ψ†(0)Φ†(t,0)Φ(t,0)ψ(0),(4.21)B.F.Farrell,P.J.Ioannouwhereψ(0)the initial state.It is apparent from this expression that the eigenvector of the hermitian matrix:S(t)=Φ†(t,0)Φ(t,0)(4.22) with largest eigenvalue is the initial condition leading to greatest perturbation mag-nitude at time t for that realization of thefluctuations.The other eigenvectors of S(t)complete the set of mutually orthogonal initial conditions ordered according to their growth at time t.The hermitian matrix S(t)can be determined by integrating forward the equa-tion:d Sdt=(A+ η(t)B)†S+S(A+ η(t)B).(4.23) The initial perturbation resulting in maximum mean square perturbation mag-nitude at time t is the eigenfunction corresponding to the largest eigenvalue of the mean of S(t).We need therefore to obtain the mean evolution equation correspond-ing to the matrix Eq.(4.23).This can be readily achieved using the results of the previous section byfirst expressing Eq.(4.23)as a vector equation using tensor products.This is done by associating with the n×n matrix S(t)the n2column vector s(t)formed by consecutively stacking the columns of S(t).In tensor form Eq.(4.23)becomes:dsdt=A s+ η(t)B s,(4.24) in which:A=I⊗A†+A T⊗I,B=I⊗B†+B T⊗I,(4.25) where T denotes the transposed matrix and†the Hermitian conjugate matrix. The ensemble average evolution equation for s over Gaussian realizations ofη(t), indicated by<s>,is obtained by applying Theorem(2.1)to(4.24)with result:d<s>dt =A+ 2BD(t)<s>,(4.26)whereD(t)= te A t B e−A t e−νt dt .(4.27)Because e A t=e A T t⊗e A†t repeated application of the tensor product properties givesD(t)=I⊗E(t)†+E(t)T⊗I,(4.28) whereE(t)=te−A t B e A t e−νt dt .(4.29) The ensemble average evolution equation can then be written as:d<s>dt=L<s>(4.30)Optimal Perturbation of Uncertain Systems in which L is given by:L=I⊗A†+A T⊗I+ 2I⊗B†+B T⊗II⊗E(t)†+E(t)T⊗I.(4.31)Reverting to matrix notation we obtain that the ensemble mean,<S>,obeys the deterministic equation:d<S>dt =A+ 2E(t)B†<S>+<S>A+ 2E(t)B++ 2E(t)†<S>B+B†<S>E(t).(4.32)For short autocorrelation times for the operatorfluctuations corresponding to 1/ν<<1the ensemble mean matrix<S>satisfies the white noise equation:d<S>dt =A+2νB2†<S>+<S>A+2νB2+2 2νB†<S>B.(4.33)In their appropriate limits these equations can be used to obtain<S(t)>and eigenanalysis of<S(t)>in turn determines the optimal initial condition that leads to the largest expected growth in square magnitude at time t.Determining the optimal in this manner also offers constructive proof of the remarkable fact that the optimal initial covariance matrix has rank1implying that a sure initial condition maximizes expected growth in an uncertain system.5.ConclusionsUncertainty in perturbation dynamical systems can arise from many sources including statistical specification of parameters(Sardeshmukh et al[12];Palmer [10])and incomplete knowledge of the mean state.We have obtained dynamical equations for ensemble mean and second moment quantities in such systems that are generally valid and others that are valid in the limit of short autocorrelation times. Optimal perturbation plays a central role in Generalized Stability Analysis and we have used ensemble mean second moment equations to solve for the perturbation producing the greatest expected second moment growth in an uncertain system; remarkably,this optimal perturbation is sure.AcknowledgmentsThe authors thank Ludwig Arnold for helpful discussions.This work was supported by NSF ATM-0123389and by ONR N00014-99-1-0018.References1.L.Arnold,Stochastic Differential Equations:Theory and Applications(Krieger,1992).2.R.C.Bourret,Stochastically perturbedfields,with application to wave propagation inrandom media,Nuovo Cimento26(1962)1-31.B.F.Farrell,P.J.Ioannou3. A.Brissaud and U.Frisch,Solving linear stochastic differential equations,J.Math.Phys.15(1974)524-534.4. B.F.Farrell,The initial growth of disturbances in a baroclinicflow,J.Atmos.Sci.39(1982)1663-1686.5. B.F.Farrell,Optimal excitation of neutral Rossby waves,J.Atmos.Sci.45(1988)163-172.6. B.F.Farrell and P.J.Ioannou,Generalized Stability.Part I:Autonomous Operators,J.Atmos.Sci.53(1996)2025-2041.7. B.F.Farrell and P.J.Ioannou,Perturbation Growth and Structure in Time DependentFlows,J.Atmos.Sci.56(1996)3622-3639.8.J.B.Keller,Wave propagation in random media,Proc.Symp.Appl.Math.13(1962)227-246.9.R.Kubo,Generalized cumulant expansion method,J.Phys.Soc.Japan17(1962)1100-1120.10.T.N.Palmer,A nonlinear dynamical perspective on model error:a proposal for non-local stochastic-dynamic parameterization in weather and climate prediction models, Quart.J.Roy.Meteor.Soc.127279-304.11.G.Papanicolau and J.B.Keller,Stochastic differential equations with applications torandom harmonic oscillators and wave propagation in random media,SIAM J.App.Math21(1971)287-305.12.P.Sardeshmukh,C.Penland and M.Newman,2001:Rossby waves in a stochasticallyfluctuating medium,Progress in Probability49(2001)369-384.13.Lord Rayleigh,On the stability or instability of certainfluid motions,Proc.LondonMath.Soc.11(1880)57-70.14.N.G.Van Kampen,A cumulant expansion for stochastic differential equations,Physica74(1974)239-247.。
北美数学学术英语
北美数学学术英语在北美数学学术领域,学术英语的使用具有一定的规范和特点。
以下是一些在数学学术写作和交流中常见的术语和表达方式:●数学概念和操作:1.Theorem (定理): A statement that has been proven to be true.2.Lemma (引理): A smaller result that is often used in the proof of a larger theorem.3.Corollary (推论): A result that follows directly from a theorem.4.Conjecture (猜想): A statement believed to be true, but not yet proven.●证明和推理:1.Proof (证明): A logical argument that demonstrates the truth of a statement.2.Lemma Proof (引理证明): A proof specifically for a lemma.3.Contradiction (反证法): A proof technique where the assumption of the statement beingfalse leads to a contradiction.4.Induction (归纳法): A proof technique that involves proving a statement for a base case andshowing that if it holds for one case, it holds for the next.●方程和符号:1.Equation (方程): A mathematical statement that asserts the equality of two expressions.2.Variable (变量): A symbol that can represent any element from a set.3.Function (函数): A relation between a set of inputs and a set of possible outputs.4.Integral (积分): The concept of an antiderivative.●统计和概率:1.Probability (概率): The likelihood of a particular event occurring.2.Random Variable (随机变量): A variable whose value is subject to variations due to chance.3.Distribution (分布): A function or curve that describes the likelihood of different outcomes.●图论和几何:1.Graph (图): A collection of nodes and edges connecting pairs of nodes.2.Vertex (顶点): A point in a graph.3.Edge (边): A line connecting two vertices in a graph.4.Geometric (几何): Related to the properties and relations of points, lines, surfaces, andsolids.●学术写作风格:1.Precision (精准性): Clear and precise language is highly valued in mathematical writing.2.Rigor (严谨性): Mathematical arguments and proofs should be logically sound and rigorous.3.Conciseness (简洁性): Expressing ideas in a clear and concise manner is important inmathematical writing.以上是一些在北美数学学术领域中常见的英语术语和表达方式。
A Blow-Up Criterion for the Nonhomogeneous Incompressible Navier--Stokes Equations
SIAM J.M ATH.A NAL.c 2006Society for Industrial and Applied Mathematics Vol.37,No.5,pp.1417–1434A BLOW-UP CRITERION FOR THE NONHOMOGENEOUSINCOMPRESSIBLE NA VIER–STOKES EQUATIONS∗HYUNSEOK KIM†Abstract.Let(ρ,u)be a strong or smooth solution of the nonhomogeneous incompressible Navier–Stokes equations in(0,T∗)×Ω,where T∗is afinite positive time andΩis a bounded domain in R3with smooth boundary or the whole space R3.We show that if(ρ,u)blows up at T∗,thenT∗0|u(t)|sL r w(Ω)dt=∞for any(r,s)with2s+3r=1and3<r≤∞.As immediate applications,we obtain a regularity theorem and a global existence theorem for strong solutions.Key words.blow-up criterion,nonhomogeneous incompressible Navier–Stokes equations AMS subject classifications.35Q30,76D05DOI.10.1137/S00361410044421971.Introduction.The motion of a nonhomogeneous incompressible viscousfluid in a domainΩof R3is governed by the Navier–Stokes equations(ρu)t+div(ρu⊗u)−Δu+∇p=ρf,(1.1)ρt+div(ρu)=0in(0,∞)×Ω,(1.2)div u=0(1.3)and the initial and boundary conditions(ρ,ρu)|t=0=(ρ0,ρ0u0)inΩ,u=0on(0,T)×∂Ω,(1.4)ρ(t,x)→0,u(t,x)→0as|x|→∞,(t,x)∈(0,T)×Ω.Here we denote byρ,u,and p the unknown density,velocity,and pressurefields of thefluid,respectively.f is a given external force driving the motion.Ωis either a bounded domain in R3with smooth boundary or the whole space R3.Throughout this paper,we adopt the following simplified notation for standard homogeneous and inhomogeneous Sobolev spaces:L r=L r(Ω),D k,r={v∈L1loc(Ω):|v|D k,r<∞};H k,r=L r∩D k,r,D k=D k,2,H k=H k,2;D10={v∈L6:|v|D1<∞and v=0on∂Ω};H10=L2∩D10,,D10,σ={v∈D10:div v=0inΩ};|v|D k,r=|∇k v|L r and|v|D10=|v|D10,σ=|∇v|L2.Note that the space D10is the completion of C∞c(Ω)in D1,and thus there holds the following Sobolev inequality:|v|L6≤2√3|v|D1for all v∈D10.(1.5)∗Received by the editors March17,2004;accepted for publication(in revised form)May9,2005; published electronically January10,2006.This work was supported by the Japan Society for the Promotion of Science under the JSPS Postdoctoral Fellowship for Foreign Researchers./journals/sima/37-5/44219.html†School of Mathematics,Korea Institute for Advanced Study207-43Cheongnyangni2-dong, Dongdaemun-gu,Seoul,130-722,Korea(khs319@postech.ac.kr,khs319@kias.re.kr).14171418HYUNSEOK KIMFor a proof of (1.5),see sections II.5and II.6in the book by Galdi [11].The global existence of weak solutions has been established by Antontsev and Kazhikov [1],Fernandez-Cara and Guillen [10],Kazhikov [13],Lions [21],and Simon [26,27].From these results (see [21]in particular),it follows that for any data (ρ0,u 0,f )with the regularity0≤ρ0∈L 32∩L ∞,u 0∈L 6,and f ∈L 2(0,∞;L 2),there exists at least one weak solution (ρ,u )to the initial boundary value problem (1.1)–(1.4)satisfying the regularity ρ∈L ∞(0,∞;L 32∩L ∞),√ρu ∈L ∞(0,∞;L 2),and u ∈L 2(0,∞;D 10,σ)(1.6)as well as the natural energy inequality.Then an associated pressure p is determinedas a distribution in (0,∞)×Ω.But the global existence of strong or smooth solutions is still an open problem and only local existence results have been obtained for sufficiently regular data satisfying some compatibility conditions.For details,we refer to the papers by Choe and the author [6],Kim [15],Ladyzhenskaya and Solonnikov [19],Okamoto [22],Padula [23],and Salvi [24].In particular,it is shown in [6](see also [7])that if the data ρ0,u 0,and f satisfy 0≤ρ0∈L 32∩H 2,u 0∈D 10,σ∩D 2,−Δu 0+∇p 0=ρ120g,(1.7)f ∈L 2(0,∞;H 1),and f t ∈L 2(0,∞;L 2)for some (p 0,g )∈D 1×L 2,then there exist a positive time T and a unique strongsolution (ρ,u )to the problem (1.1)–(1.4)such that ρ∈C ([0,T ];L 32∩H 2),u ∈C ([0,T ];D 10,σ∩D 2)∩L 2(0,T ;D 3),(1.8)u t ∈L 2(0,T ;D 10,σ),and √ρu t ∈L ∞(0,T ;L 2).Moreover,the existence of a pressure p in C ([0,T ];D 1)∩L 2(0,T ;D 2)can be deducedfrom (1.1)–(1.3).See [5]for a detailed argument.Let (ρ,u )be a global weak solution to the problem (1.1)–(1.4)with the data (ρ0,u 0,f )satisfying condition (1.7).Then from the above local existence result and weak-strong uniqueness results in [6]and [21],we conclude that the solution (ρ,u )satisfies the regularity (1.8)for some positive time T .One fundamental problem in mathematical fluid mechanics is to determine whether or not (ρ,u )satisfies (1.8)for all time T .As an equivalent formulation,we may ask the following.Fundamental question 1.1.Does the solution (ρ,u )blow up at some finite time T ∗?Such a time T ∗,if it exists,is called the finite blow-up time of the solution (ρ,u )in the class H 2.In spite of great efforts since the pioneering works by Leray [20]in 1930s,there have been no definite answers to the fundamental question even for the case of the homogenous Navier–Stokes equations with only some blow-up criteria available.The first criterion is due to Leray [20]who proved,among other things,that if T ∗is the finite blow-up time of a strong solution u to the Cauchy problem for the homogeneous Navier–Stokes equations,then for each r with 3<r ≤∞,there exists a constant C =C (r )>0such that |u (t )|L r ≥C (T ∗−t )−12(1−3r )for all near t <T ∗.(1.9)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1419This estimate near the blow-up time was extended by Giga [12]to the case of bounded domains.An immediate consequence of (1.9)is the following well-known blow-up criterion in terms of the so-called Serrin class (see [9,25,29]):T ∗0|u (t )|s L r dt =∞for any (r,s )with 2s +3r =1,3<r ≤∞.(1.10)By virtue of Sobolev inequality (1.5),we deduce from (1.10)thatT ∗|∇u (t )|4L 2dt =∞.(1.11)Further generalizations of (1.10)and (1.11)have been obtained by Beirao da Veiga [2],Berselli [3],Chae and Choe [4],and Kozono and Taniuchi [17].The major purpose of this paper is to prove the blow-up criterion (1.10)for strong solutions of the nonhomogeneous Navier–Stokes equations (1.1)–(1.3).In fact,we establish a more general result.To state our main result precisely,we first introduce the notion of the blow-up time of solutions in the class H 2m with m ≥1.Let (ρ,u )be a strong solution to the initial boundary value problem (1.1)–(1.4)with the regularityρ∈C ([0,T ];L 32∩H 2m ),u ∈C ([0,T ];D 10,σ∩D2m)∩L 2(0,T ;D 2m +1),∂j t u ∈C ([0,T ];D 10,σ∩D2m −2j)∩L 2(0,T ;D 2m −2j +1)for 1≤j <m,(1.12)∂m t u ∈L 2(0,T ;D 10,σ),and √ρ∂m t u ∈L ∞(0,T ;L 2)for any T <T ∗,where T ∗is a finite positive time.Then we can defineΦm (T )=1+sup 0≤t ≤T|∇ρ(t )|H 2m −1+|u (t )|D 10∩D 2m + T|u (t )|2D 2m +1dt+sup1≤j<msup 0≤t ≤T|∂jt u (t )|D 10∩D 2m −2j +T|∂jt u (t )|2D 2m −2j +1dt(1.13)+ess sup 0≤t ≤T|√ρ∂mtu (t )|L 2+T|∂mt u (t )|2D 10dtfor any T <T ∗.Hereafter we use the obvious notation|·|X ∩Y =|·|X +|·|Yfor (semi-)normed spaces X,Y.Definition 1.2.A finite positive number T ∗is called the finite blow-up time ofthe solution (ρ,u )in the class H 2m ,provided thatΦm (T )<∞for0<T <T ∗andlim T →T ∗Φm (T )=∞.We are now ready to state the main result of this paper.Theorem 1.3.For a given integer m ≥1,we assume that∂mtf ∈L 2(0,∞;L 2)and∂jt f ∈L 2(0,∞;H 2m −2j −1)for 0≤j <m.Let (ρ,u )be a strong solution of the nonhomogeneous Navier–Stokes equations (1.1)–(1.3)satisfying the regularity (1.12)for any T <T ∗.If T ∗is the finite blow-up time of (ρ,u )in the class H 2m ,then we haveT ∗|u (t )|s L r wdt =∞for any (r,s )with 2s +3r =1,3<r ≤∞.(1.14)1420HYUNSEOK KIMHere L r w denotes the weak L r-space,that is,the space consisting of all vector fields v ∈L 1loc (Ω)such that |v |L r w=sup α>0α|{x ∈Ω:|v (x )|>α}|1r <∞for 3<r <∞and |v |L ∞w=|v |L ∞<∞.In the case when 3<r <∞,L ris a proper subspace of L r w (|x |−3/r ∈L r w (R 3)for instance)and so Theorem 1.3is in fact a generalizationof the blow-up criterion (1.10)due to Leray and Giga even for the homogeneous Navier–Stokes equations.Theorem 1.3is proved in the next two sections.In section 2,we provide a proof of the theorem for the very special case m =1.Our method of the proof is quite well known in the case of the homogeneous Navier–Stokes equations and was also applied in an earlier paper [6]by Choe and the author to the nonhomogeneous case:combining classical regularity results on the Stokes equations with H¨o lder and Sobolev inequal-ities,we show that Φ1(T )is bounded in a double exponential way by T0|u (t )|s L r wdt for any T less than the blow-up time T ∗.But the use of weak Lebesgue spaces in space variables makes it more difficult to estimate the nonlinear convection term.To overcome this technical difficulty,we utilize some basic theory of the Lorenz spaces developed in [18]and [30].See the derivations of (2.6)and (2.7)for details.Concern-ing the proof for the general case m ≥2,the basic idea is also to show that Φm (T )isbounded in some specific way by T0|u (t )|s L r wdt for any T <T ∗.Such an approach is more or less standard in the case of the homogeneous Navier–Stokes equations,but its extension to the nonhomogeneous case is not straightforward and indeed much complicated due to the evolution of the density.A detailed argument is provided in section 3.Some corollaries of Theorem 1.3can be deduced from a local existence result on strong solutions in the class H 2m .For instance,as an immediate consequence of Theorem 1.3,the local existence result in the class H 2,and the weak-strong uniqueness result,we obtain the following regularity result whose obvious proof may be omitted.Corollary 1.4.Let (ρ,u )be a global weak solution to the initial boundary value problem (1.1)–(1.4)with the data satisfying condition (1.7).If there exists a finite positive time T ∗such thatu ∈L s (0,T ∗;L r w )for some (r,s )with2s +3r=1,3<r ≤∞,(1.15)then the solution (ρ,u )satisfies regularity (1.8)for some T >T ∗.A similar result was obtained by Choe and the author [6]assuming,however,astronger condition on u ,that is,u ∈L 4(0,T ∗;D 10).By virtue of Corollary 1.4,we may conclude that the class (which we call a weak Serrin class )in (1.15)is a regularity class for weak solutions of the nonhomogeneous Navier–Stokes equations,which was already proved by Sohr [28]for the homogeneous case.See also a local version of Sohr’s result in [14].Moreover,thanks to a recent result by Dubois [8],the weak Serrin class is a uniqueness class for the homogeneous Navier–Stokes equations.It is also noticed that the same results can be easily derived from regularity and uniqueness results due to Kozono by adapting the arguments in the remarks of Theorem 3in [16].Theorem 1.3and its proof can be used to obtain a global existence result on solutions in the class H 2under some smallness condition on u 0and f (but not on ρ0).Theorem 1.5.For each K >1,there exists a small constant ε>0,depending only on K and the domain Ω,with the following property:if the data ρ0,u 0,and f satisfy|ρ0|L 32∩L∞≤K,|u 0|D 10≤ε,and ∞|f (t )|2L 2dt ≤ε2(1.16)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1421in addition to condition (1.7),then there exists a unique global strong solution (ρ,u )to problem (1.1)–(1.4)satisfying regularity (1.8)for any T <∞.A rather simple proof of Theorem 1.5is provided in section 4.Finally,we recall that in the case when ρ0is bounded away from zero and Ωis a bounded domain in R 3with smooth boundary,Salvi [24]proved the local existence of strong solutions in the class H 2m for every m ≥1.Hence adapting the proofs of Corollary 1.4and Theorem 1.5,we can also prove analogous regularity and global existence results on strong solutions in every class H 2m provided that Ω⊂⊂R 3and ρ0>0on Ω.2.Proof of Theorem 1.3with m =1.In this section,we prove Theorem 1.3for the special case m =1.Let t 0be a fixed time with 0<t 0<T ∗and let us denoteΦ0(T )= T|u (t )|s L r wdt for t 0≤T <T ∗,where (r,s )is any pair satisfying condition (1.14).To prove Theorem 1.3,we haveonly to show that Φ1(T )≤C exp (C exp (C Φ0(T )))for t 0≤T <T ∗.(2.1)Throughout this paper,we denote by C a generic positive constant depending onlyon r ,m ,Φm (t 0),T ∗,Ω,|ρ(0)|L 32∩L ∞,|u (0)|L 6,and the norm of f ,but independent of T in particular.To begin with,we recall from (1.6)that sup0≤t ≤T|ρ(t )|L 32∩L ∞+|√ρu (t )|L 2 +T|u (t )|2D 10dt ≤C(2.2)for t 0≤T <T ∗.2.1.Estimates for T 0|√ρu t (t )|2L 2dt and sup 0≤t ≤T |u (t )|D 10.Next,we willshow thatT 0|√ρu t (t )|2L 2+|u (t )|2D 10∩D 2 dt +sup 0≤t ≤T|u (t )|2D 10≤C exp (C Φ0(T ))(2.3)for t 0≤T <T ∗.To show this,we multiply the momentum equation (1.1)by u t andintegrate over Ω.Then using (1.2)and (1.3),we easily deriveρ|u t |2dx +12d dt |∇u |2dx = ρ(f −u ·∇u )·u t dx andρ|u t |2dx +ddt|∇u |2dx ≤2ρ|f |2dx +2ρ|u ·∇u |2dx.(2.4)On the other hand,since (u,p )is a solution of the stationary Stokes equations−Δu +∇p =Fanddiv u =0inΩ,where F =ρ(f −u ·∇u −u t ),it follows from the classical regularity theory that |∇u |H 1≤C (|F |L 2+|∇u |L 2)(2.5)≤C (|f |L 2+|√ρu t |L 2+|u ·∇u |L 2+|∇u |L 2).1422HYUNSEOK KIMTo estimate the right-hand sides of(2.4)and(2.5),wefirst observe that|u·∇u|L2=|u·∇u|L2,2≤C|u|L rw |∇u|L2rr−2,2,(2.6)which follows from H¨o lder inequality in the Lorenz spaces.See Proposition2.1in[18]. Next,we will show that|∇u|L2rr−2,2≤C|∇u|1−3rL2|∇u|3rH1.(2.7)If r=∞,then(2.7)is obvious.Assuming that3<r<∞,we choose r1and r2suchthat3<r1<r<r2<∞and2r =1r1+1r2.Then in view of H¨o lder and Sobolevinequalities,we have|∇u|L2r ir i−2≤|∇u|1−3r iL2|∇u|3r iL6≤|∇u|1−3r iL2(C|∇u|H1)3r ifor each i=1,2.Since L2r r−2,2is a real interpolation space of L2r2r2−2and L2r1r1−2,moreprecisely,L2r r−2,2=(L2r2r2−2,L2r1r1−2)12,2,it thus follows that|∇u|L2rr−2,2≤C|∇u|12L2r2r2−2|∇u|12L2r1r1−2≤C|∇u|1−3r2L2(C|∇u|H1)3r212|∇u|1−3r1L2(C|∇u|H1)3r112,which proves(2.7).For some facts on the real interpolation theory and Lorenz spaces used above,we refer to sections1.3.3and1.18.6in Triebel’s book[30].The estimates(2.6)and(2.7)yield|u·∇u|L2≤C|u|L rw |∇u|2sL2|∇u|3rH1≤η−3s2r C|u|s2L rw|∇u|L2+η|∇u|H1for any small numberη∈(0,1).Substituting this into(2.5),we obtain|∇u|H1≤C|f|L2+|√ρu t|L2+|u|s2L rw|∇u|L2+|∇u|L2,(2.8)and thus|u·∇u|L2≤η−3s2r C|u|s2L rw+1|∇u|L2+C|f|L2+η|√ρu t|L2.Therefore,substituting this estimate into(2.4)and choosing a sufficiently smallη>0, we conclude that1 2|√ρu t(t)|2L2+ddt|∇u(t)|2L2≤C|f(t)|2L2+C|u(t)|s L rw+1|∇u(t)|2L2(2.9)for t0≤t<T∗.In view of Gronwall’s inequality,we haveT0|√ρu t(t)|2L2dt+sup0≤t≤T|∇u(t)|2L2≤C exp(CΦ0(T))for any T with t0≤T<T∗.Combining this and(2.8),we obtain the desired estimate (2.3).NONHOMOGENEOUS NAVIER–STOKES EQUATIONS14232.2.Estimates for ess sup 0≤t ≤T |√ρu t (t )|2L 2and T 0|u t (t )|2D 10dt .To de-rive these estimates,we differentiate the momentum equation (1.1)with respect to time t and obtainρu tt +ρu ·∇u t −Δu t +∇p t =ρt (f −u t −u ·∇u )+ρ(f t −u t ·∇u ).Then multiplying this by u t ,integrating over Ω,and using (1.2)and (1.3),we have12d dtρ|u t |2dx + |∇u t |2dx(2.10)=(ρt (f −u t −u ·∇u )+ρ(f t −u t ·∇u ))·u t dx.Note that since ρ∈C ([0,T ];L 32∩L ∞),ρt ∈C ([0,T ];L 32),and u t ∈L 2(0,T ;D 10)forany T <T ∗,the right-hand side of (2.10)is well defined for almost all t ∈(0,T ∗).Hence using finite differences in time,we can easily show that the identity (2.10)holds for almost all t ∈(0,T ∗).In view of the continuity equation (1.2)again,we deduce from (2.10)that12ddtρ|u t |2dx + |∇u t |2dx≤2ρ|u ||u t ||∇u t |+ρ|u ||u t ||∇u |2+ρ|u |2|u t ||∇2u |(2.11)+ρ|u |2|∇u ||∇u t |+ρ|u t |2|∇u |+ρ|u ||u t ||∇f |+ρ|u ||f ||∇u t |+ρ|f t ||u t |dx ≡8 j =1I j .Following the arguments in [6],we can estimate each term I j :I 1,I 5≤C |ρ|12L ∞|∇u |L 2|√ρu t |L 3|∇u t |L 2≤C |ρ|34L ∞|∇u |L 2|√ρu t |12L 2|∇u t |32L 2≤C |∇u |4L 2|√ρu t |2L 2+116|∇u t |2L 2,I 2,I 3,I 4≤C |ρ|L ∞|∇u |2L 2|∇u t |L 2|∇u |H 1≤C |∇u |4L 2|∇u |2H 1+116|∇u t |2L 2,I 6,I 7≤C |ρ|L 6|∇u |L 2|f |H 1|∇u t |L 2≤C |∇u |2L 2|f |2H 1+116|∇u t |2L 2,and finallyI 8≤C |ρ|L 3|f t |L 2|∇u t |L 2≤C |f t |2L 2+116|∇u t |2L 2.Substitution of these estimates into (2.11)yieldsd dt |√ρu t |2L 2+|∇u t |2L 2≤C |∇u |4L 2 |√ρu t |2L 2+|∇u |2H 1+|f |2H 1 +C |f |2H 1+|f t |2L 2 .1424HYUNSEOK KIMTherefore,by virtue of estimate (2.3),we conclude that ess sup 0≤t ≤T|√ρu t (t )|2L 2+T|∇u t (t )|2L 2dt ≤C exp (C Φ0(T ))(2.12)for t 0≤T <T ∗.On the other hand,using the regularity theory of the Stokesequations again,we have|∇u |H 1≤C (|f |L 2+|√ρu t |L 2+|u ·∇u |L 2+|∇u |L 2)≤C |f |L 2+|√ρu t |L 2+|∇u |32L 2|∇u |12H 1+|∇u |L 2and|∇u |H 1,6≤C (|u t |L 6+|u ·∇u |L 6+|f |L 6+|∇u |L 6)≤C|∇u t |L 2+|∇u |2H1+|f |H 1+|∇u |H 1 .Hence it follows immediately from (2.3)and (2.12)that sup0≤t ≤T|u (t )|2D 10∩D 2+T|∇u (t )|2H 1,6dt ≤C exp (C Φ0(T ))(2.13)for t 0≤T <T ∗.2.3.Estimates for sup 0≤t ≤T |∇ρ(t )|H 1and T0|u (t )|2D 3dt .To derive these,we first observe that each ρx j (j =1,2,3)satisfiesρx jt +u ·∇ρx j =−u x j ·∇ρ.Then multiplying this by ρx j ,integrating over Ω,and summing up,we obtaind dt|∇ρ|2dx ≤C|∇u ||∇ρ|2dx ≤C |∇u |L ∞|∇ρ|2L 2.A similar argument shows thatddt|∇2ρ|2dx ≤C|∇u ||∇2ρ|2+|∇2u ||∇ρ||∇2ρ| dx ≤C |∇u |L ∞|∇2ρ|2L 2+|∇2u |L 6|∇ρ|L 3|∇2ρ|L 2.Hence using Sobolev embedding results and then Gronwall’s inequality,we derive thewell-known estimate|∇ρ(t )|H 1≤C exp C t 0|∇u (τ)|H 1,6dτ≤C exp tC |∇u (τ)|2H 1,6+1 dτ .Therefore by virtue of (2.13),we conclude that sup 0≤t ≤T|∇ρ(t )|H 1≤C exp (C exp (C Φ0(T )))(2.14)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1425for t 0≤T <T ∗.Finally,observing from the regularity theory on the Stokes equations that|u |D 3≤C (|ρu t |H 1+|ρu ·∇u |H 1+|ρf |H 1)≤C (|∇ρ|L 3+1) |∇u t |L 2+|∇u |2H 1+|f |H 1 ,we easily deduce from (2.3),(2.12),(2.13),and (2.14)thatT|u (t )|2D 3dt ≤C exp (C exp (C Φ0(T )))(2.15)for t 0≤T <T ∗.This completes the proof of (2.1)and thus the proof of Theorem 1.3with m =1.3.Proof of Theorem 1.3with m ≥ 2.Assume that m ≥ 2.Then to prove Theorem 1.3,it suffices to show that the following estimate holds for each k ,0≤k <m :Φk +1(T )≤C exp C expC Φk (T )10m for t 0≤T <T ∗.(3.1)The case k =0was already proved in section 2and so it remains to prove (3.1)forthe case 1≤k <m .Let k be a fixed integer with 1≤k <m .From (1.13),we recall thatΦk (T )=1+sup0≤j<ksup0≤t ≤T|∂jt u (t )|D 10∩D 2k −2j +T|∂jt u (t )|2D 2k −2j +1dt(3.2)+sup 0≤t ≤T|∇ρ(t )|H 2k −1+ess sup 0≤t ≤T|√ρ∂kt u (t )|L 2+T|∂kt u (t )|2D 10dtfor any T <T ∗.3.1.Estimates for ∂j t(u ·∇u ),∂j +1t ρ,and ∂jt (ρu )with 0≤j ≤k .To estimate nonlinear terms,we will make repeated use of the following simple lemma whose proof is omitted.Lemma 3.1.If g ∈D 10∩D j ,h ∈H i ,0≤i ≤j ,and j ≥2,thengh ∈H iand|gh |H i ≤C |g |D 10∩D j |h |H i for some constant C >0depending only on j and Ω.Using this lemma together with the fact that∂j t (u·∇u )=j i =0j !i !(j −i )!∂itu ·∇∂j −i t u,we can estimate ∂jt(u ·∇u )as follows:for 0≤j <k ,|∂jt(u ·∇u )|H 2k −2j −1≤Cj i =0|∂it u ·∇∂j −i t u |H 2k −2j −1≤C j i =0|∂it u |D 10∩D 2k −2j |∇∂j −i tu |H 2k −2j −1≤Cj i =0|∂it u |D 10∩D 2k −2i |∂j −i tu |D 10∩D 2k −2(j −i )1426HYUNSEOK KIM and|∂k t(u·∇u)|L2≤C k−1i=0|∂i t u·∇∂k−itu|L2+|∂k t u·∇u|L2≤C k−1i=0|∂i t u|D1∩D2|∇∂k−itu|L2+|∂k t u|D1|∇u|H1≤C k−1i=0|∂i t u|D1∩D2k−2i|∂k−itu|D1+|∂k t u|D1|u|D1∩D2.Hence it follows from(3.2)thatsup 0≤j<ksup0≤t≤T|∂j t(u·∇u)(t)|H2k−2j−1+T|∂k t(u·∇u)(t)|2L2dt≤CΦk(T)4(3.3)for t0≤T<T∗.Applying Lemma3.1to the continuity equationρt=−div(ρu)=−u·∇ρ,(3.4)we also deduce thatsup 0≤t≤T |ρt(t)|H2k−1≤CΦk(T)2for t0≤T<T∗.(3.5)Using(3.4)and(3.5),we can show thatsup 1≤j<ksup0≤t≤T|∂j+1tρ(t)|H2k−2j+T|∂k+1tρ(t)|2L2dt≤CΦk(T)2k+4(3.6)for t0≤T<T∗.A simple inductive proof of(3.6)may be based on the observation that for1≤j<k,|∂j+1tρ|H2k−2j=|−∂j t(u·∇ρ)|H2k−2j≤Cji=0|∂j−itu·∇∂i tρ|H2k−2j≤Cji=0|∂j−itu|D1∩D2k−2j|∇∂itρ|H2k−2j≤Cji=0|∂j−itu|D1∩D2k−2(j−i)|∂itρ|H2k−2(i−1)and|∂k+1t ρ|L2≤Cki=0|∂k−itu·∇∂i tρ|L2≤Cki=0|∂k−itu|D1|∂i tρ|H2.Moreover,it follows easily from(3.6)thatsup 0≤j<ksup0≤t≤T|∂j t(ρu)(t)|H2k−2j+T|∂k t(ρu)(t)|2H1dt≤CΦk(T)4k+10(3.7)NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1427for t 0≤T <T ∗.Finally,recalling that∂k +1t f ∈L 2(0,∞;L 2)and ∂jt f ∈L 2(0,∞;H 2k −2j +1)for 0≤j ≤k,we deduce from standard embedding results that∂jt f ∈C ([0,∞);H 2k −2j )for0≤j ≤k.3.2.Estimates for T 0|√ρ∂k +1t u (t )|2L 2dt and sup 0≤t ≤T |∂k t u (t )|D 10.Fromthe momentum equation (1.1),we deriveρ ∂k t u t −Δ∂k t u +∇∂k t p =∂k t (ρf −ρu ·∇u )+ ρ∂k t u t −∂k t (ρu t ) .Hence multiplying this by ∂k +1t u and integrating over Ω,we haveρ|∂k +1t u |2dx +12d dt|∇∂k t u |2dx=∂k t (ρf −ρu ·∇u )+ ρ∂k t u t −∂kt (ρu t ) ·∂k +1tu dx (3.8)=I 0,1+k j =1k !j !(k −j )!(I j,1+I j,2),whereI j,1=∂j t ρ∂k −j t (f −u ·∇u )·∂k +1t u dx,I j,2=−∂j t ρ∂k −j t u t ·∂k +1t u dx.We easily estimate I 0,1as follows:I 0,1≤|ρ|12L ∞ |∂k t f |L 2+|∂k t (u ·∇u )|L 2 |√ρ∂k +1t u |L 2≤C |∂k t f |2L 2+|∂kt (u ·∇u )|2L2 +12|√ρ∂k +1t u |2L 2.To estimate I j,1for 1≤j ≤k ,we rewrite it asI j,1=d dt∂j t ρ∂k −j t (f −u ·∇u )·∂k t u dx − ∂j +1t ρ∂k −j t (f −u ·∇u )·∂kt u dx −∂j t ρ∂k −j +1t (f −u ·∇u )·∂kt u dx and observe that −∂j +1tρ∂k −j t (f −u ·∇u )·∂kt u dx ≤C |∂k −j t f |2H 1+|∂k −j t (u ·∇u )|2H 1 |∂j +1t ρ|2L 2+|∇∂k t u |2L 2and−∂j tρ∂k −j +1t (f −u ·∇u )·∂k t u dx ≤C |∂j t ρ|2H 1 |∂k −j +1t f |2L 2+|∂k −j +1t (u ·∇u )|2L 2 +|∇∂k t u |2L 2.1428HYUNSEOK KIMUsing the continuity equation (1.2),we can also estimate I j,2as follows:I 1,2=− ρt 12|∂k t u |2 t dx =−d dt ρt 12|∂k t u |2dx + ∂2t ρ12|∂k t u |2dx =−d dt ρu ·∇ 12|∂k t u |2 dx + ∂t (ρu )·∇ 12|∂k tu |2dx ≤−d dt (ρu ·∇∂k t u )·∂k t u dx +C |∂t (ρu )|H 1|∇∂k t u |2L 2and similarlyI j,2=−d dt ∂j t ρ∂k −j t u t ·∂k t u dx + ∂j +1t ρ∂k −j t u t +∂j t ρ∂k −j +1t u t ·∂kt u dx ≤−d dt ∂j −1t (ρu )·∇ ∂k −j +1t u ·∂kt u dx +C |∂j t (ρu )|H 1|∇∂k −j +1t u |L 2+|∂j −1t (ρu )|H 1|∇∂k −j +2t u |L 2 |∇∂kt u |L 2for 2≤j ≤k .Substituting all the estimates into (3.8),we have12 ρ|∂k +1t u |2dx +12d dt|∇∂k t u |2dx ≤d dt ⎛⎝k j =1k !j !(k −j )!∂j t ρ∂k −j t (f −u ·∇u )·∂k t u −(ρu ·∇∂k t u )·∂k t u ⎞⎠dx −d dt kj =2k !j !(k −j )!∂j −1t(ρu )·∇ ∂k −j +1t u ·∂kt u dx+Ck −1 j =1|∂jt (ρu )|2H 1+|∂j +1t ρ|2H 1|∂k −j t f |2H 1+|∂k −jt (u·∇u )|2H 1+|∂k −j +1t u |2D 1+C |∂k +1t ρ|2L 2|f |2H 1+|u |2D 10∩D 2+C 1+|∂t ρ|2H 1 |∂k t f |2L 2+|∂k t (u ·∇u )|2L2 +C |∂k t (ρu )|2H 1+C 1+|∂t (ρu )|2H 1+|∇∂t u |2L 2 |∇∂k t u |2L 2.Hence,integrating this in time over (t 0,T )and using (3.3),(3.5),(3.6),and (3.7)together with the estimates|∂j t ρ||∂k −j t (f −u ·∇u )||∂k t u |dx≤η−1|∂j t ρ|2H 1|∂k −j t (f −u ·∇u )|2L 2+η|∇∂k t u |L 2,ρ|u ||∇∂k t u ||∂k t u |dx ≤η−3C |ρ|3L ∞|∇u |4L 2|√ρ∂k t u |2L 2+η|∇∂k t u |2L 2and|∂j −1t (ρu )||∇∂k −j +1t u ||∂kt u |+|∂k −j +1t u ||∇∂kt u |dx≤η−1C |∂j −1t (ρu )|2H 1|∇∂k −j +1tu |2L 2+η|∇∂kt u |L 2,NONHOMOGENEOUS NAVIER–STOKES EQUATIONS1429 whereηis any small positive number,we deduce thatTt0|√ρ∂k+1tu(t)|2L2dt+|∇∂k t u(T)|2L2≤CΦk(T)20m+CTt01+|∂t(ρu)(t)|2H1+|u t(t)|2D1|∇∂k t u(t)|2L2dtfor t0≤T<T∗.Note thatT t01+|∂t(ρu)(t)|2H1+|u t(t)|2D1dt≤CΦk(T)10m.Therefore,in view of Gronwall’s inequality,we conclude that T0|√ρ∂k+1tu(t)|2L2dt+sup0≤t≤T|∂k t u(t)|2D1≤C expCΦk(T)10m(3.9)for any T with t0≤T<T∗.3.3.Estimates for ess sup0≤t≤T|√ρ∂k+1tu(t)|L2andT|∂k+1tu(t)|2D1dt.From the momentum equation(1.1),it follows thatρ∂k+1tut+ρu·∇∂k+1tu−Δ∂k+1tu+∇∂k+1tp=∂k+1t(ρf)+ρ∂k+1tu t−∂k+1t(ρu t)+ρu·∇∂k+1tu−∂k+1t(ρu·∇u).Multiplying this by∂k+1tu and integrating overΩ,we have1 2ddtρ|∂k+1tu|2dx+|∇∂k+1tu|2dx=∂k+1t(ρf)·∂k+1tu dx+ρ∂k+1tu t−∂k+1t(ρu t)·∂k+1tu dx(3.10)+ρu·∇∂k+1tu−∂k+1t(ρu·∇u)·∂k+1tu dx.This identity can be derived rigorously by using a standardfinite difference method because if0<T<T∗,then∂m tρ∈L2(0,T;L32∩L2)and∂j tρ∈C([0,T];L32∩L∞) for0≤j<m.Thefirst term of the right-hand side in(3.10)is bounded byCkj=0|∂j tρ||∂k−j+1tf||∂k+1tu|dx+|∂k+1tρ||f||∂k+1tu|dx≤Ckj=0|∂j tρ|2H1|∂k−j+1tf|2L2+C|∂k+1tρ|2L2|f|2H1+16|∇∂k+1tu|2L2.In view of the continuity equation(1.2),we can rewrite the second term as−k+1j=1(k+1)!j!(k−j+1)!∂j tρ∂k−j+1tu t·∂k+1tu dx=−k+1j=1(k+1)!j!(k−j+1)!∂j−1t(ρu)·∇∂k−j+2tu·∂k+1tudx,1430HYUNSEOK KIM which is bounded byC|ρ|L∞|u|2D10∩D2|√ρ∂k+1tu|2L2+Ckj=1|∂j t(ρu)|2H1|∂k−j+1tu|2D1+16|∇∂k+1tu|2L2.Finally,the last term is bounded byCkj=1|∂j t(ρu)||∇∂k−j+1tu||∂k+1tu|dx+|∂k+1t(ρu)||∇u||∂k+1tu|dx≤Ckj=1|∂j t(ρu)|2H1+|∂j tρ|2H1|u|2D1∩D2|∂k−j+1tu|2D1+C|∂k+1tρ|2L2|u|4D1∩D2+C|ρ|L∞|u|2D1∩D2|√ρ∂k+1tu|2L2+1|∇∂k+1tu|2L2.Hence substituting these estimates into(3.10),we haved dtρ|∂k+1tu|2dx+|∇∂k+1tu|2dx≤C1+|u|2D1∩D2|√ρ∂k+1tu|2L2+Ckj=0|∂j tρ|2H1|∂k−j+1tf|2L2+C|∂k+1tρ|2L2|f|2H1 +Ckj=1|∂j t(ρu)|2H1+|∂j tρ|2H1|u|2D1∩D2|∂k−j+1tu|2D1+C|∂k+1tρ|2L2|u|4D1∩D2.Therefore,by virtue of(3.5),(3.6),(3.7),and(3.9),we conclude thatess sup0≤t≤T |√ρ∂k+1tu(t)|L2+T|∂k+1tu(t)|2D1dt≤C expCΦk(T)10m(3.11)for any T with t0≤T<T∗.3.4.Estimates for sup0≤t≤T|∂j t u(t)|D10∩D2k−2j+2with0≤j≤k.Toderive these estimates,we observe that∂j t u∈C([0,T∗);D10,σ)and−Δ∂j t u+∇∂j t p=∂j t(ρf−ρu·∇u−ρu t) (3.12)for each j≤k.From(3.5),(3.6),(3.9),and(3.11),it follows easily thatess sup0≤t≤T|∂k t(ρu·∇u)(t)|L2+|∂k t(ρu t)(t)|L2≤C expCΦk(T)10mfor t0≤T<T∗.Hence applying the regularity theory of the Stokes equations to (3.12)with j=k,we obtainsup 0≤t≤T |∂k t u(t)|D1∩D2≤C expCΦk(T)10mfor t0≤T<T∗.It also follows from the Stokes regularity theory that for0≤j<k,|∂j t u|D10∩D2k−2j+2≤C|∂jt(ρf−ρu·∇u−ρu t)|H2k−2j+C|∂j t u|D1.(3.13)。
各类基金项目名称英译
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searc h fro m the Mini stryof Sc ience andTechn ology of C hina科技部博士后基金Speci al Pr ophas e Pro jecton Ba sic R esear ch of TheNatio nal D epart mentof Sc ience andTechn ology科技部基础研究重大项目前期研究专项Grant forKey R esear ch It ems N o.2 i n “Cl imbin g” Pr ogram from theMinis try o f Sci enceand T echno logyof Ch ina 科技部攀登计划二号重点项目基金Spe ciali zed R esear ch Fu nd fo r the Doct oralProgr am of High er Ed ucati on高等学校博士学科点专项科研基金The S hangh ai “P hosph or” S cienc e Fou ndati on,Ch ina上海科技启明星基金资助The“Daw n”Pro gramof Sh angha i Edu catio n Com missi on上海市“曙光”计划The S hangh ai Po stdoc toral Sust entat ion F und上海市博士后基金M inist ry of Majo r Sci ence& Tec hnolo gy of Shan ghai上海市重大科技公关项目Th e Spe cialFound ation forYoung Scie ntist s ofZheji ang P rovin ce浙江省青年人才基金B eijin g Mun icipa l Sci enceand T echno logyProje ct北京市重大科技专项H eilon gjian g Pos tdoct oralGrant黑龙江省博士后资助基金G uangd ong N atura l Sci enceFound ation广东省自然科学基金项目T he "T enthfive" Obli gator y Bud get o f PLA军队“十五”指令性课题T he Fo k Yin g-Ton g Edu catio n Fou ndati on, C hina霍英东教育基金黑龙江省自然科学基金资助Su pport ed by Natu ral S cienc e Fou ndati on of Heil ongji ang P rovin ce of Chin a湖北省教育厅重点项目资助Supp orted by E ducat ional Comm issio n ofHubei Prov inceof Ch ina河南省杰出青年基金(9911)资助Su pport ed by Exce llent Yout h Fou ndati on of He’n an Sc ienti fic C ommit tee(项目编号:)河南省教育厅基金资助S uppor ted b y Fou ndati on of He’n an Ed ucati onalCommi ttee山西省青年科学基金(项目编号:)资助Supp orted by S hanxi Prov inceScien ce Fo undat ion f or Yo uths(项目编号:)山西省归国人员基金资助Supp orted by S hanxi Prov inceFound ation forRetur ness北京市自然科学基金资助Su pport ed by Beij ing M unici pal N atura l Sci enceFound ation上海市科技启明星计划(项目编号:)资助Su pport ed by Shan ghaiScien ce an d Tec hnolo gy De velop mentFunds(项目编号:)华北电力大学青年科研基金资助Suppo rtedby Yo uth F ounda tionof No rth-C hinaElect ric P owerUnive rsity华中师范大学自然科学基金资助Sup porte d byNatur al Sc ience Foun datio n ofCentr al Ch ina N ormal Univ ersit y东南大学基金(项目编号:)资助Suppo rtedby Fo undat ion o f Sou theas t ofUnive rsity(项目编号:)西南交通大学基础学科研究基金(项目编号:)资助Suppo rtedby Fo undat ion S cienc es So uthwe st Ji aoton g Uni versi ty(项目编号:)***科学技术厅科学家交流项目(项目编号:)Supp orted by J apanSTA S cient ist E xchan ge Pr ogram(项目编号:中国科学院基金资助Suppo rtedby Sc ience Foun datio n ofThe C hines e Aca demyof Sc ience s中国科学院九五重大项目(项目编号:)资助Suppo rtedby Ma jor S ubjec t ofThe C hines e Aca demyof Sc ience s(项目编号:)中国科学院院长基金特别资助Suppo rtedby Sp ecial Foun datio n ofPresi dentof Th e Chi neseAcade my of Scie nces中国科学院国际合作局重点项目资助Su pport ed by Bure au of Inte rnati onalCoope ratio n, Th e Chi neseAcade my of Scie nces中国科学院百人计划经费资助Suppo rtedby 100 Tal entsProgr ammeof Th e Chi neseAcade my of Scie ncesSuppo rtedby On e Hun dredPerso n Pro jectof Th e Chi neseAcade my of Scie nces中国科学院知识创新工程重大项目资助S uppor ted b y Kno wledg e Inn ovati on Pr oject of T he Ch inese Acad emy o f Sci ences Supp orted by K nowle dge I nnova tionProgr am of TheChine se Ac ademy of S cienc es 中国科学院西部之光基金(项目编号:)资助Supp orted by W est L ightFound ation of T he Ch inese Acad emy o f Sci ences(项目编号:)北京正负电子对撞机国家实验室重点课题资助Supp orted by B EPC N ation al La borat ory兰州重离子加速器国家实验室原子核理论中心基金资助Suppo rtedby Ce nterof Th eoret icalNucle ar Ph ysics, Nat ional Labo rator y ofHeavy IonAccel erato r ofLanzh ou国家自然科学基金(项目编号:)资助Su pport ed by Nati onalNatur al Sc ience Foun datio n ofChina(项目编号:)[Suppo rtedby NS FC(项目编号:)]国家自然科学基金重大项目资助Su pport ed by Majo r Pro gramof Na tiona l Nat uralScien ce Fo undat ion o f Chi na (1991483) 国家自然科学基金国际合作与交流项目(项目编号:)资助Sup porte d byProje cts o f Int ernat ional Coop erati on an d Exc hange s NSF C(项目编号:)国家重点基础研究发展规划项目(项目编号:)资助 (973计划项目)Sup porte d byMajor Stat e Bas ic Re searc h Dev elopm ent P rogra m(项目编号:)Suppo rtedby Ch ina M inist ry of Scie nce a nd Te chnol ogy u nderContr act(项目编号:)Sup porte d byState KeyDevel opmen t Pro gramof (f or) B asicResea rch o f Chi na(项目编号:)国家高技术研究发展计划(863计划)资助Su pport ed by Nati onalHighTechn ology Rese archand D evelo pment Prog ram o f Chi na国家重大科学工程二期工程基金资助Supp orted by N ation al Im porta nt Pr oject on S cienc e-Pha se Ⅱof NS RL国家攀登计划—B课题资助Sup porte d byNatio nal C limb—B Pla n国家杰出青年科学基金资助Supp orted by N ation al Na tural Scie nce F undsfor D istin guish ed Yo ung S chola r国家科技部基金资助Su pport ed by Stat e Com missi on of Scie nce T echno logyof Ch ina(科委)Su pport ed by Mini stryof Sc ience andTechn ology of C hina中国博士后科学基金Supp orted by C hinaPostd octor al Sc ience Foun datio n海峡两岸自然科学基金(项目编号:)共同资助Supp orted by S cienc e Fou ndati on of Twosides of S trait(项目编号:)核工业科学基金资助Suppo rtedby Sc ience Foun datio n ofChine se Nu clear Indu stry国家教育部科学基金资助Su pport ed by Scie nce F ounda tionof Th e Chi neseEduca tionCommi ssion (教委)Supp orted by S cienc e Fou ndati on of Mini stryof Ed ucati on of Chin a国家教育部博士点专项基金资助Su pport ed by Doct oralFundof Mi nistr y ofEduca tionof Ch ina国家教育部回国人员科研启动基金资助Su pport ed by Scie ntifi c Res earch Foun datio n for Retu rnedSchol ars,Minis try o fEdu catio n ofChina国家教育部优秀青年教师基金资助Su pport ed by Scie nce F ounda tionfor T he Ex celle nt Yo uth S chola rs of Mini stryofEd ucati on of Chin a高等学校博士学科点专项科研基金资助Supp orted by R esear ch Fu nd fo r the Doct oralProgr am of High er Ed ucati on of Chin aSup porte d byDocto ral P rogra m Fou ndati on of Inst ituti ons o f Hig her E ducat ion o f Chi na 国家自然科学基金中文标注:国家自然科学基金资助项目批准号********英标标注:Proj ect ******** (项目批准号)suppo rtedby Na tiona l Nat uralScien ceFo undat ion o f Chi na,可缩写为:Pr oject ********* supp orted by N SFC2、浙江省自然科学基金中文标注:浙江省自然科学基金资助项目英文标注:The Proj ect S uppor ted b y Zhe jiang Prov incia l Nat uralScien ce Fo undat ion o f Chi na3、教育部高等学校博士学科点专科研基金中文标注:高等学校博士学科点专项科研基金资助课题英文标注:The Rese archFundfor t he De ctora l Pro gramof Hi gherEduca tion可缩写为:R FDP4、教育部高等学校骨干教师资助计划中文标注:高等学校骨干教师资助计划资助英文标注:Supp orted by F ounda tionfor U niver sityKey T eache r bythe M inist ry of Educ ation5、教育部霍英东教育基金项目中文标注:教育部霍英东教育基金资助6、教育部留学回国人员科研启动基金中文标注:教育部留学回国人员科研启动基金资助英文标注:The Proj ect S ponso red b y the Scie ntifi c Res earch Foun datio n for theRetur ned O verse as Ch inese Scho lars, Stat e Edu catio n Min istry可缩写为::TheProje ct sp onsor ed by SRFfor R OCS,SEM)7、教育部优秀青年教师资助计划项目中文标注:教育部优秀青年教师资助计划项目英文标注:Su pport ed by theExcel lentYoung Teac hersPorgr am of MOE, P.R.C.可缩写为EYTP8、教育部跨世纪优秀人才培养计划中文标注:跨世纪优秀人才培养计划英文标注:T rans-Centu ry Tr ainin g Pro gramm e Fou ndati on fo r the Tale nts b y theMini stryof Ed ucati on9、教育部新世纪优秀人才支持计划中文标注:新世纪优秀人才支持计划资助英文标注:Su pport ed by Prog ram f or Ne w Cen turyExcel lentTalen ts in Univ ersit y(英文缩写“NCE T”)10、教育部长江学者与创新团队发展计划中文标注:长江学者和创新团队发展计划资助英文标注:Su pport ed by Prog ram f or Ch angji ang S chola rs an d Inn ovati ve Re searc hTea m inUnive rsity(缩写为“PCSIR T”)基金项目英文翻译及基金资助书写格式基金项目英文翻译1 国家高技术研究发展计划资助项目(863计划)(No.)Thi s wor k was supp orted by a gran t fro m the Nati onalHighTechn ology Rese archand D evelo pment Prog ram o f Chi na (863 Pr ogram) (No. )2国家自然科学基金资助项目(N o. )Gener al Pr ogram(面上项目), Ke y Pro gram(重点项目), Maj or Pr ogram(重大项目)Thi s wor k was supp orted by a gran t fro m the Nati onalNatur al Sc ience Foun datio n ofChina(No.)3国家“九五”攻关项目(No.)Thi s wor k was supp orted by a gran t fro m the Nati onalKey T echno logie s R & D Pr ogram of C hinadurin g the 9thFive-YearPlanPerio d (No. )4中国科学院“九五”重大项目(No. )This work wassuppo rtedby agrant from theMajor Prog ramsof th e Chi neseAcade my of Scie ncesdurin g the 9thFive-YearPlanPerio d (No. )5中国科学院重点资助项目(No. )T his w ork w as su pport ed by a gr ant f rom t he Ke y Pro grams of t he Ch inese Acad emy o f Sci ences (No. )6“九五”国家医学科技攻关基金资助项目(N o. )Thisworkwas s uppor ted b y a g rantfromthe N ation al Me dical Scie nce a nd Te chniq ue Fo undat ion d uring the9th F ive-Y ear P lan P eriod(No.)7江苏省科委应用基础基金资助项目 (No. )Th is wo rk wa s sup porte d bya gra nt fr om th e App liedBasic Rese archProgr ams o fSc ience andTechn ology Comm issio n Fou ndati on of Jian gsu P rovin ce (N o. )8 国家教育部博士点基金资助项目(No. )Th is wo rk wa s sup porte d bya gra nt fr om th e Ph.D. Pr ogram s Fou ndati on of Mini stryof Ed ucati on of Chin a (No. )9中国科学院上海分院择优资助项目(No. )Th is wo rk wa s sup porte d bya gra nt fr om Ad vance d Pro grams of S hangh ai Br anch, theChine se Ac ademy of S cienc es (N o. )10 国家重点基础研究发展规划项目(973计划)(No. )This work wassuppo rtedby agrant from theMajor Stat e Bas ic Re searc hDev elopm ent P rogra m ofChina (973 Prog ram)(No.)11国家杰出青年科学基金(No.)Thi s wor k was supp orted by a gran t fro m Nat ional Scie nce F und f or Di sting uishe dYou ng Sc holar s (No. )12 海外香港青年学者合作研究基金(No. )Th is wo rk wa s sup porte d bya gra nt fr om Jo int R esear ch Fu nd fo r You ng Sc holar s inHongKongand A broad(No.)中国科学院基金资助S uppor ted b y Sci enceFound ation of T he Ch inese Acad emy o f Sci ences中国科学院九五重大项目(项目编号:)资助Suppo rtedby Ma jor S ubjec t ofThe C hines e Aca demyof Sc ience s(项目编号:)中国科学院院长基金特别资助Supp orted by S pecia l Fou ndati on of Pres ident of T he Ch inese Acad emy o f Sci ences中国科学院国际合作局重点项目资助Su pport ed by Bure au of Inte rnati onalCoope ratio n, Th e Chi neseAcade my of Scie nces中国科学院百人计划经费资助S uppor ted b y 100 Tale nts P rogra m ofThe C hines e Aca demyof Sc ience sSup porte d byOne H undre d Per son P rojec t ofThe C hines e Aca demyof Sc ience s中国科学院知识创新工程重大项目资助Suppo rtedby Kn owled ge In novat ion P rojec t ofThe C hines e Aca demyof Sc ience sSup porte d byKnowl edgeInnov ation Prog ram o f The Chin ese A cadem y ofScien ces中国科学院西部之光基金(项目编号:)资助Su pport ed by West Ligh t Fou ndati on of TheChine se Ac ademy of S cienc es(项目编号:)北京正负电子对撞机国家实验室重点课题资助S uppor ted b y BEP C Nat ional Labo rator y兰州重离子加速器国家实验室原子核理论中心基金资助Sup porte d byCente r ofTheor etica l Nuc learPhysi cs, N ation al La borat ory o f Hea vy Io n Acc elera tor o f Lan zhou国家自然科学基金(项目编号:)资助Supp orted by N ation al Na tural Scie nce F ounda tionof Ch ina(项目编号:)[Suppo rtedby NS FC(项目编号:)]国家自然科学基金重大项目资助S uppor ted b y Maj or Pr ogram of N ation al Na tural Scie nce F ounda tionof Ch ina (1991483) 国家自然科学基金国际合作与交流项目(项目编号:)资助S uppor ted b y Pro jects of I ntern ation al Co opera tionand E xchan ges N SFC(项目编号:)国家重点基础研究发展规划项目(项目编号:)资助 (973计划项目)Supp orted by M ajorState Basi c Res earch Deve lopme nt Pr ogram(项目编号:)Supp orted by C hinaMinis try o f Sci enceand T echno logyunder Cont ract(项目编号:)Suppo rtedby St ate K ey De velop mentProgr am of (for) Bas ic Re searc h ofChina(项目编号:)国家高技术研究发展计划(863计划)资助Sup porte d byNatio nal H igh T echno logyResea rch a nd De velop mentProgr am of Chin a 国家重大科学工程二期工程基金资助S uppor ted b y Nat ional Impo rtant Proj ect o n Sci ence-PhaseⅡ of NSRL国家攀登计划—B课题资助S uppor ted b y Nat ional Clim b—B P lan国家杰出青年科学基金资助Sup porte d byNatio nal N atura l Sci enceFunds forDisti nguis hed Y oungSchol ar国家科技部基金资助Su pport ed by Stat e Com missi on of Scie nce T echno logyof Ch ina(科委)Su pport ed by Mini stryof Sc ience andTechn ology of C hina中国博士后科学基金Suppo rtedby Ch ina P ostdo ctora l Sci enceFound ation海峡两岸自然科学基金(项目编号:)共同资助Supp orted by S cienc e Fou ndati on of Twosides of S trait(项目编号:)核工业科学基金资助Supp orted by S cienc e Fou ndati on of Chin ese N uclea r Ind ustry国家教育部科学基金资助Su pport ed by Scie nce F ounda tionof Th e Chi neseEduca tionCommi ssion (教委)Supp orted by S cienc e Fou ndati on of Mini stryof Ed ucati on of Chin a国家教育部博士点专项基金资助Sup porte d byDocto ral F und o f Min istry of E ducat ion o f Chi na国家教育部回国人员科研启动基金资助Supp orted by S cient ificResea rch F ounda tionfor R eturn ed Sc holar s, Mi nistr y ofEduca tionof Ch ina国家教育部优秀青年教师基金资助Suppo rtedby Sc ience Foun datio n for TheExcel lentYouth Scho larsof Mi nistr y ofEduca tionof Ch ina高等学校博士学科点专项科研基金资助Sup porte d byResea rch F und f or th e Doc toral Prog ram o f Hig her E ducat ion o f Chi naSu pport ed by Doct oralProgr am Fo undat ion o f Ins titut ionsof Hi gherEduca tionof Ch ina 霍英东教育基金会青年教师基金资助黑龙江省自然科学基金资助S uppor ted b y Nat uralScien ce Fo undat ion o f Hei longj iangProvi nce o f Chi na湖北省教育厅重点项目资助Supp orted by E ducat ional Comm issio n ofHubei Prov inceof Ch ina河南省杰出青年基金(9911)资助Sup porte d byExcel lentYouth Foun datio n ofHe’na n Sci entif ic Co mmitt ee(项目编号:)河南省教育厅基金资助S uppor ted b y Fou ndati on of He’n an Ed ucati onalCommi ttee山西省青年科学基金(项目编号:)资助Sup porte d byShanx i Pro vince Scie nce F ounda tionfor Y ouths(项目编号:)山西省归国人员基金资助Su pport ed by Shan xi Pr ovinc e Fou ndati on fo r Ret urnes s北京市自然科学基金资助S uppor ted b y Bei jingMunic ipalNatur al Sc ience Foun datio n上海市科技启明星计划(项目编号:)资助Suppo rtedby Sh angha i Sci enceand T echno logyDevel opmen t Fun ds(项目编号:)华北电力大学青年科研基金资助Su pport ed by Yout h Fou ndati on of Nort h-Chi na El ectri c Pow er Un ivers ity华中师范大学自然科学基金资助S uppor ted b y Nat uralScien ce Fo undat ion o f Cen tralChina Norm al Un ivers ity东南大学基金(项目编号:)资助Su pport ed by Foun datio n ofSouth eastof Un ivers ity(项目编号:)西南交通大学基础学科研究基金(项目编号:)资助Supp orted by F ounda tionScien ces S outhw est J iaoto ng Un ivers ity(项目编号:)日本科学技术厅科学家交流项目(项目编号:)S uppor ted b y Jap an ST A Sci entis t Exc hange Prog ram (项目编号:)Part 1:国家自然科学基金(项目编号:)资助S uppor ted b y Nat ional Natu ral S cienc e Fou ndati on of Chin a(项目编号:)[Supp orted by N SFC(项目编号:)]国家自然科学基金重大项目资助S uppor ted b y Maj or Pr ogram of N ation al Na tural Scie nce F ounda tionof Ch ina (1991483) 国家自然科学基金国际合作与交流项目(项目编号:)资助Su pport ed by Proj ectsof In terna tiona l Coo perat ion a nd Ex chang es NS FC(项目编号:)国家重点基础研究发展规划项目(项目编号:)资助 (973计划项目)Sup porte d byMajor Stat e Bas ic Re searc h Dev elopm ent P rogra m(项目编号:)Suppo rtedby Ch ina M inist ry of Scie nce a nd Te chnol ogy u nderContr act(项目编号:)Sup porte d byState KeyDevel opmen t Pro gramof (f or) B asicResea rch o f Chi na(项目编号:)国家高技术研究发展计划(863计划)资助Su pport ed by Nati onalHighTechn ology Rese archand D evelo pment Prog ram o f Chi na国家重大科学工程二期工程基金资助Supp orted by N ation al Im porta nt Pr oject on S cienc e-Pha se Ⅱof NS RL国家攀登计划—B课题资助Sup porte d byNatio nal C limb—B Pla n国家杰出青年科学基金资助Supp orted by N ation al Na tural Scie nce F undsfor D istin guish ed Yo ung S chola r国家科技部基金资助Su pport ed by Stat e Com missi on of Scie nce T echno logyof Ch ina(科委)Su pport ed by Mini stryof Sc ience andTechn ology of C hina中国科学院基金资助Sup porte d byScien ce Fo undat ion o f The Chin ese A cadem y ofScien ces中国科学院九五重大项目(项目编号:)资助Sup porte d byMajor Subj ect o f The Chin ese A cadem y ofScien ces(项目编号:)中国科学院院长基金特别资助Sup porte d bySpeci al Fo undat ion o f Pre siden t ofThe C hines e Aca demyof Sc ience s中国科学院国际合作局重点项目资助Suppo rtedby Bu reauof In terna tiona l Coo perat ion,The C hines e Aca demyof Sc ience s 中国科学院百人计划经费资助Sup porte d by100 T alent s Pro gramm e ofThe C hines e Aca demyof Sc ience sSup porte d byOne H undre d Per son P rojec t ofThe C hines e Aca demyof Sc ience s中国科学院知识创新工程重大项目资助Supp orted by K nowle dge I nnova tionProje ct of TheChine se Ac ademy of S cienc esSu pport ed by Know ledge Inno vatio n Pro gramof Th e Chi neseAcade my of Scie nces中国科学院西部之光基金(项目编号:)资助Su pport ed by West Ligh t Fou ndati on of TheChine se Ac ademy of S cienc es(项目编号:)北京正负电子对撞机国家实验室重点课题资助Su pport ed by BEPC Nati onalLabor atory兰州重离子加速器国家实验室原子核理论中心基金资助Sup porte d byCente r ofTheor etica l Nuc learPhysi cs, N ation al La borat ory o f Hea vy Io n Acc elera tor o f Lan zhou中国博士后科学基金Supp orted by C hinaPostd octor al Sc ience Foun datio n海峡两岸自然科学基金(项目编号:)共同资助Supp orted by S cienc e Fou ndati on of Twosides of S trait(项目编号:)核工业科学基金资助Suppo rtedby Sc ience Foun datio n ofChine se Nu clear Indu stry国家教育部科学基金资助Su pport ed by Scie nce F ounda tionof Th e Chi neseEduca tionCommi ssion (教委)Supp orted by S cienc e Fou ndati on of Mini stryof Ed ucati on of Chin a国家教育部博士点专项基金资助Su pport ed by Doct oralFundof Mi nistr y ofEduca tionof Ch ina国家教育部回国人员科研启动基金资助Su pport ed by Scie ntifi c Res earch Foun datio n for Retu rnedSchol ars,Minis try o fEdu catio n ofChina国家教育部优秀青年教师基金资助Su pport ed by Scie nce F ounda tionfor T he Ex celle nt Yo uth S chola rs of Mini stryofEd ucati on of Chin a高等学校博士学科点专项科研基金资助Supp orted by S pecia lized Rese archFundfor t he Do ctora l Pro gramof Hi gherEduca tion霍英东教育基金会青年教师基金资助Su pport ed by theFok Y ing-T ong E ducat ion F ounda tion, Chin a (Gr ant N o. )黑龙江省自然科学基金资助Suppo rtedby Na tural Scie nce F ounda tionof He ilong jiang Prov inceof Ch ina湖北省教育厅重点项目资助Su pport ed by Educ ation al Co mmiss ion o f Hub ei Pr ovinc e ofChina河南省杰出青年基金(9911)资助Suppo rtedby Ex celle nt Yo uth F ounda tionof He’nanScien tific Comm ittee(项目编号:)河南省教育厅基金资助Supp orted by F ounda tionof He’nanEduca tiona l Com mitte e山西省青年科学基金(项目编号:)资助Su pport ed by Shan xi Pr ovinc e Sci enceFound ation forYouth s(项目编号:)山西省归国人员基金资助Su pport ed by Shan xi Pr ovinc e Fou ndati on fo r Ret urnes s北京市自然科学基金资助Suppo rtedby Be ijing Muni cipal Natu ral S cienc e Fou ndati on上海市科技启明星计划(项目编号:)资助Suppo rtedby Sh angha i Sci enceand T echno logyDevel opmen t Fun ds(项目编号:)华北电力大学青年科研基金资助Sup porte d byYouth Foun datio n ofNorth-Chin a Ele ctric Powe r Uni versi ty华中师范大学自然科学基金资助S uppor ted b y Nat uralScien ce Fo undat ion o f Cen tralChina Norm al Un ivers ity东南大学基金(项目编号:)资助Sup porte d byFound ation of S outhe ast o f Uni versi ty(项目编号:)西南交通大学基础学科研究基金(项目编号:)资助Sup porte d byFound ation Scie ncesSouth westJiaot ong U niver sity(项目编号:)日本科学技术厅科学家交流项目(项目编号:)Sup porte d byJapan STAScien tistExcha nge P rogra m (项目编号:)Par t 2:1、国家自然科学基金资助项目凡是国家自然科学基金资助项目的研究成果,必须严格按规定进行标注才算有效,否则基金委将不予承认。
无现金时代The Age of Non-cash(大学英语作文)
无现金时代The Age of Non-cash大学英语作文Online payment develops so fast that the age of non-cash has come. In China, more and more people use Alipay and Wechat to buy bills, no matter where they go. According to the research, most people leave little cash in their wallets, some even don't use it for a long time. Non-cash age brings great convenience.在线支付发展速度之快使得无现金时代已经到来。
在中国,越来越多的人无论去哪里都使用支付宝和微信来支付账单。
根据研究,大多数人现在只放少量现今在钱包,有些人甚至很长时间都不使用现金。
无现金时代带来了很大的方便。
As the heat topic of Belt and Road has caught the foreigners' attention, they are very curious in China and they are surprised to find the different stuffs here. The foreign people name the new four inventions of China, while Alipay was one of them. The new four inventions have something in common. They all can be operated with Alipay. Online payment is advocated not many years ago and it is accepted by the public soon. Now, even the small business like the street peddlers will ask you to pay online.随着热点话题一带一路引起了外国人的注意。
某些极大交换子在非倍测度Hardy型空间上的有界性
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1 Introduction
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We will work on the d-dimensional Euclidean space R d with a non-negative Radon measure µ which only satisfies the following growth condition that there exists a constant C 0 > 0 such that µ(B (x, r )) ≤ C0 r n (1.1) for all x ∈ Rd and r > 0, where B (x, r ) = {y ∈ Rd : |y − x| < r }, n is a fixed number and 0 < n ≤ d. The measure µ is not necessary to satisfy the doubling condition. The doubling condition, namely, there exists a constant C > 0 such that µ(B (x, 2r )) ≤ Cµ(B (x, r )) for all x ∈ supp (µ) and r > 0, is a key assumption in the analysis on spaces of homogeneous type. However, during the last several years, considerable attention has been paid to the study of function spaces and the boundedness of Calder´ on-Zygmund operators with non-doubling measures and many classical results have been proved still valid if the underlying measure µ is substituted by a non-doubling Radon measure as in (1.1); see [6, 13, 14, 15, 8, 9, 10] and their references. The analysis with non-doubling measures played an essential role in solving the long open Painlev´ e’s problem by Tolsa in [16]; see also [18] for more background. The main purpose of this paper is to establish the boundedness of a class of maximal Calder´ on-Zygmund operators and maximal commutators which are the variant of the maximal commutators generated by Calder´ on-Zygmund operators and RBMO(µ) functions in some Hardy-type spaces. Before stating our results, we first recall some necessary notation and definitions. Let K be a function on Rd × Rd \ {(x, y ) : x = y } satisfying that for x = y , |K (x, y )| ≤ C |x − y |−n , and |K (x, y ) − K (x, y )| + |K (y, x) − K (y , x)| dµ(x) ≤ C,
英国化学奥林匹克竞赛UKChO近5年真题汇总
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WhiCh ωk e s ≡,一eger <ωE φω fromO UPWards ・Theenergy (3∙jou_es) Of≡e S rog o-na -energy-eveLEyisgivenbythefofmu-ω EJ關h ×BX J(JH)WhereBU ≡erotauonωConStasOf 一he3o-φ0⊂-φ (inHZ)h Mp-anck ∙sCOnSta H M 6.626×12∙Js ・ and一<≡∙3OffreqUenCyf(HZ)hasenergy hM f oou-es) TWO Signa ωhavebeendetected due一oZ o l z - O s e2016年考题2. ThlS question is about the ChOmiStry Of tungstenThe ChemIStry Of the transition metal tungsten has Cenain SimilaritieS to that Of the mai∩∙group element SUlfUr SinCe both atoms have a total Of SiX VaIenCeelectrons. BOth elements reach their maximum ÷6 OXidatiOnStateS when COmblned Wrth electronegative elementsfluorine and OXygeITWhilSt tungsten(VI) fluonde is USed in the Semi∞nductorindustry, the OXide is USed in electrochromic windows.TheSe Change ∞lour When an electrical VOltage is applied,as ShOWn in the airσaft WindOWS On the right.MoSt tungsten OCCUfS naturally in the tungstate anion,WO42", analogous to the sulfate. SO42". A COmmOn tungsten mineral is Scheelite, CaICiUm tungstate, CdWO4.(a)DraW a StrUctUre ShOWing the bonding in the WθΛ ion and give the O-W-O bond angle.Treatment Of SCheellte Wlth aqueous SOdiUm CarbOnate gives a SOlutKXI Of SOdiUm tungstate and a White insoluble salt. AdditiOn Of hydrochloric add to aqueous SOdiUm tungstate PrOdUCeS tungstic acid. WhiCh On heating gives Iungsten(VI) oxide. ThiS may be reduced Wrth hydrogen to give PUre UJngSten metal.(b)(i) GiVe the equation for the reaction between SCheeIite and aqueous SodiUmCart)Onate.(ii) GiVe the equation for the reactiOn Of aqueous SOdiUm tungstate Wrth hydrochloric acid and SUggeSt a StrUctUre for tungstic acid・(Iii) GiVe the equation for the formation Of tungsten(VI) OXKje from tungstic aαd.(iv) GiVe the equation for the (OrmatiOn tungsten metal.In electrochromic Windows. a VOltage is applied between a WanSParent Iayer Of Iungsten(VI) OXkje and a SOUrCe Of ions SUCh as a IrthIUm SaIt・and the following reacbo∩ takes PIaCe during wħich SOme Of the IrthiUm ions are in∞rporated into the StrUCtUre Of the oxide:WO3÷ xU* ÷ Xe- ---------- ► LiXWo3The PrOdUct t Li1WO3. is known as a tungsten bronze, and its ColoUr depends On the ValUe Of x. The VaIUe Of X Can Vary from O to 1: a typical ValUe giving a blue-black COlOUr is When X = 0.3.(C) (i) CaIcUlate the OXidatiOn State Of the tungsten When X= 1 ・(ii) CakXIIate the average OXidatiOn State Of the tungsten When X = 0.3.BOth elemental SUlfUr and tungsten react Wrth fluorir»e gas to form the hexafluorides. SFe and WF6are both gases at r∞m temperature and PreSSUre. Wrth WF6being the most dense gas known Underthese ∞nditio∩s. WF6is extremely toxic due to its rapid reaction With Water to form twoSUbStances. In COntrast, SF6is inert in Water and non-toxic・(d)By assuming air to be made UP Of nItrOgen gas OnM CaICUlate the densities Of SF e and WF6relative to air.(e)CaleUlate the actual density Of WFβ(g) in g cm"3 at 298 K and Standard PreSSUre.(f)SUggeSt an equation for the reaction Of WF e Wfth water.2017年考题ThiS question is about the Green POOl Of RiOWhen the Water in the diving PoOI at the RiO OlymPiC GameS turned green, it WaS SUggeSted that Ihe growth Of algae WaS to blame; this WaS StrOngM COnteSted by the organisers. EVen after Ihe OffiCial report WaS PUbliShed t there is StiIl much SPeCUIation as to theactual reason behind the ∞tour Change-One Of the most COmmOnfy USed ComPOUndS in thechlorination Of SWimming POoIS is SOdiUmhypochlorite・ NaCIO.(a)Determine the OXidatiOn State Of ChiOrine inSOdiUm hypochlorite, NaelO.OnCe dissolved, an equilibrium is established between CIO" and its COnjUgate acid.(b)GrVe an equation for this equilibrium.ThiS equilibrium is highly PH dependent and Un der acidic co nd tons ChIOrine is produced.(C) GiVe an equation for the generation Of cħlorine from hypochlorite and HCLThe Organisers eventually explained the green COlOUr in the POOI as being due to the growth Of algae after the i∩advertent addition Of a Iarge quantity Of hydrogen PerOXide. WhiCh destroyed thehypochk>rrte and formed ChlOride ions.(d)GiVe an equation for the reaction between hydrogen PeroXkJe and hypochlorite.KyPoChlOrrteS also have a tendency to react Wrth ammonia and ammonia-like ComPOUndS to form ∞mpou∩ds COntaining nitrogen and ChlOnne. One SUCh COmPOUnd is nitrogen trichloride. WhiCh Can CaUSe eyeirritation and Ihe distinctive SmeIl Of Swimmlng p∞ls(e)(i) GiVe an equation for the formation Of nitrogen trichloride.(ii) DraW a StrUCtUre for nitrogen trichloride, ShOWing its shape, and State the approximate CkN-Cl bond angle.DePending On reacting ratios, another POSSibIe OUtCOme Of Ihe reaction between ammonia and hypoChlorrte is the formation Of hydrazine. H2N-NH2. and ChlOride ions.(O GrVe an equation for this reaction.COPPer(II) SUtfate is SOmetimeS added to SWimming POOIS and this WaS also suggested as the CaUSe Of the green ∞lour. COPPer(II) ions Wefe also blamed for the green t int given to Ihe bleached hair Of the AmeriCan SWimmer Ryan LoChte・ The COPPer(Il) ions precipitate On the hair due to the high PH OfCertain sħamp∞s・(g)SUggeSt a formula for the blue PreCiPitate On Ryan LOChte,s h.2018年考题4. ThiS question is about COUgh SUPPreSSantSIn SePtember 2017. the UK Prime MiniSter l ThereSa May, had a bad ∞υgh during her SPeeCh at the ConSerVatiVe Party COnferenCe- The COUgh suppressant drugOextromethorphan, WhiCh is PreSent in ∞ugh remedies SUCh as BenyIin®. CoUld have helped her out. ThiS questiOn is about the SyntheSlS Of dextromethorphan. The SyntheSiS involves the formation Of SOme Str(Jng b∞ds and SOme StabIe CarbOCations.DeXtromethorphan is Onen administered as the hydrobromide monohydrate salt.(a) In the anSWer b∞k. Ci rCle the atom in dextromethorphan that is PrOtOnated in the salt. (b) Determine the molecular formula Of dextromethorphan and hence CaIaJlate Ihe molar mass Of thedextromethorphan hydrobromkie monohydrate salt. The SyntheSiS Of dextRxnethorphan takes a number Of StePS. PteaSe note that in the SChemeS describing the Synthesis, by-products Of the reactions are not always shown.The SyntheSiS Of dextromethorphan begins With the SyntheSiS Of COmPoUnd F.1 MgS∞h ICO 2 SOCh ------------------------ COmPOUnd A ■ COmPOUnd B 3 M ZMzOIR 3100 Cm t (v9rybΦM1716 Cm ' (3hΛφ)A COmPOUnd D c ∙ - W 2 HZH 2O♦ CoIOUrIeSS gas X π⅞o∕∙ mass of 44 01 g moi 1COnIPOUnd C♦COmPOUnd ECOmPOUnd FDraW the StUCtUreS Of COmPOUndS A. B. C. D. E and g‘COmPOUnd CCOmPOUnd EO δ2019年考题4・ ThiS question is about CarbOn dioxideThe food and drink industries USe a IOt OfCarbon dioxide DUring SUmmer 2018, a globalShOrtage Ied to SUPermarketS Iimiting frozenfood deliveries and ratbning beer. ThiS isironic COnSidering the do∞mented rise Ofatmospheric CO2 IeVeIs.(a) (i) DraW dot and CrOSS diagrams forCarbon dioxide and CartXXI monoxide.(Ii) CalaJlate the difference in the OXIdatiOn State between the CarbOnS in CarbOn dioxide and in CarbOn monoxide・The EngIiSh ChemiSt WiIliam Henry StUdied the equilibria When a gas dissolves in a IiqUid He PrOPOSed Ihat Ihe ConCentratiOn Of a gas dissolved in a IlqUld IS ProPOrt)Onal to the gas' PartiaI PreSSUre When in the gas phase. The PrOPOrti∞alrty fac tor is CaIIed the Henry l S IaW ∞nstant. The Henry S IaW ConStant for 82 is 3.3 × 1(Γ2 mol dm'3 atm"1.SeaIed COntainerS Of fizzy drinks COntain dissolved CQ. ThiS dissolved CO: is in equilibrium With a SmaIl quantity Of gase∞s CQ at the top Of the COn tain er.(b) (i) The Partial PreSSUre Of CO2gas in a 250 αn3 Can Of fizzy drink is 3.0 atm at25 0C. What is the COnCentratiOn Of CO2 in the fizzy drink?(H) What mass Of CO2 is ClISSOIVed in a 250 cm3 Can Of fizzy drink?(III)If the Can c∞ta∣ned Onty the mass Of C O? CaICUIated in Part (O) as a gas. CaIaJlate the PreSSUre in Ihe Can When it is StOred at 25 °C.(IV)Under What ∞nditio∩s WoUId CO2 gas be most SOlUble jn water?TiCk the COrreet OPtiOn in the anSWer b∞klet:•high PreSSUre and IOW temperature•high PreSSUre and high temperature•IoW PreSSUre and IOW temperature•IOW PreSSUre and high temperature2020年考题2. ThiS question is about hydrogen as a fuelCart)On dioxide emissions from fossil fuelsare a major factor in Climate change.Hydrogen is a Potenual alternative tofossil fuels. PrOViding ,dean energy* WrthOnly Water as a byproduct. The UK govemmentis in vestIgatlng COnVeftIng the naturalgas ghd to Carry hydrogen instead.FOr this question・ assume all PrOCeSSeStake PIaCe at 298 K.EnthaIPy Change Of formation Of CH4(g). ∆∕^f = -74.8 kJ moΓ'EnthaIPy Change Of formation Of CO?(g). Δ∕Λ = -393.5 kJ moΓ1EnthaIPy Change Of (Ofmation Of H2O(∣> ∆∕^f ≡ -285 8 kJ mol*1EntroPy Change Of formation Of H2O(I). ∆^e f = -163.0 J K*1moΓ1One IOW COSt method for PrOdUCing hydrogen is reforming methane. ThoUgh this PrOdUCeS CO2, this Can be easily captured. The reforming ProCeSS Can be represented by the OVeraH reaction:CH4(g) ÷ 2H2O(I) -→ CO2(g) + 4H2(g)(a) CalCUIate the enthalpy Change for this reaction.EleCtr OIySiS Of Water is another method Of producing hydrogen On a Iarge SCaIe .it OJrrently ∞sts more than reforming methane.In POIymer electrolyte membrane electrolysts, PfOlOnS are transferred thr∞gh a membrane between Ihe two electrodes. The two half reactions are:1.2H2O(l) → O2(g) + 4Hφ(aq) + 4eβ2.2H∙(aq) ÷ 2e" → H2(g)WhiCh Of these half reactions OCeUrS at the cathode?。
英语翻译岗位招聘笔试题与参考答案(某大型央企)2025年
2025年招聘英语翻译岗位笔试题与参考答案(某大型央企)一、单项选择题(本大题有10小题,每小题2分,共20分)1、Which of the following best describes the primary responsibility of an English translator in a state-owned enterprise (SOE)?A) Conducting research on new markets for the company.B) Translating documents and materials from English to Chinese.C) Managing the company’s financial reports.D) Coordinating international partnerships for the company.Answer: B) Translating documents and materials from English to Chinese.解析:在一家央企,英语翻译的主要职责是将英文文件和材料翻译成中文,以确保内部沟通和对外交流的准确性。
2、What software applications are typically used by English translators in an SOE for document translation?A) Photoshop, IllustratorB) Microsoft Excel, PowerPointC) Adobe Acrobat, Google DocsD) Microsoft Word, Translation softwareAnswer: D) Microsoft Word, Translation software.解析:在央企中,英语翻译通常使用Microsoft Word进行文档编辑和校对,并使用专门的翻译软件(如MemoQ, Trados等)来进行翻译任务。
Wave-particleduality
1. Wave Particle Dualitya. Write the relationship for the kinetic energy and momentum for particle moving at speeds much slower than the speed of light.b. Find the wavelength of an electron in an x -ray machine having a kinetic energy 10 keV.c. Write the relationship for the kinetic energy and momentum for a particle moving at speeds which are on the order of the speed of light.d. Write the relationship for the kinetic energy and momentum for a photon.e . The maximum energy of an x -ray photon produced by a 10 keV electron is 10 keV. Find the wavelength of such an x -ray photon.2. Schroedinger’s EquationA completely free beam of electrons is moving in the +x direction with a kinetic energy of 10 keV. a. Write the Schroedinger equation for a particle moving in the x direction. b. Show that the wave function in a. is a solution to the Schroedinger equation.3. Schroedinger’s EquationAn electron is confined to move freely in a one dimensional box of length L =1.0 nm having infinite potential walls.a. Write the space part wave function for the ground state, and draw it in the upper left provided axes.b. Write the space part probability density and draw it in the lower left provided axes.c. Draw the wave function and probability density for the same situation but for the case where the height of the potential walls is finite.d. Which state, a. or c., has the lower energy. Explain in one sentence.4. In momentum space (k -space) the separation of states is given by Δk x =Δk y =Δk z =π/L .a. Find the number of states in a volume V =L 3 with momentum less than k and kinetic energy less than E .b. Find the Fermi energy for neutrons in a neutron star having 5×1057neutrons with radius 10 km.c. Find the total zero-point kinetic energy of the neutrons at temperature T =0 K.ψx ψxP x P x1. R elativityA s tar i s e mitting l ight i n t he p ositive x d irection. T he w avelength o f t he l ight i s 400 n m.a. (5 p t) W hat i s t he p eriod Δt i n n s o f o ne o scillation o f l ight i n t he s tar’s f ixed reference f rame.Assuming t he w ave t urns o n a t t=0b. (5 p t) H ow f ar d oes i t g o i n t =100 n s i n t he s tar’s f ixed f rame?c. (5 p t) W rite t he 4-‐vector f or t he s pace-‐time p osition a fter a t ime 100 n s.d. (5 p t) O btain t he s pace-‐time i nvariant i nterval t hat t he l ight t ravels i n 100 n s. Suppose t he s tar m oves a way f rom t he e arth i n t he p ositive x d irection w ith a v elocity 0.8c.e. (5 p t) W hat i s t he p eriod Δ′t i n n s o f o ne o scillation o f l ight i n t he e arth’s m oving r eference f rame?f. (5 p t) H ow f ar d oes t he l ight t ravel a fter o ne o scillation a s s een b y t he e arth.f. (5 p t) W rite t he 4-‐vector f or t he s pace-‐time p osition a fter a t ime ′t corresponding t o one o scillation a s s een f rom t he e arth’s r eference f rame.g. (5 p t) O btain t he s pace-‐time i nvariant i nterval i n t he e arth’s f rame t hat t he l ight travels i n 100 n s2.) B ohr m odel.According t o t he B ohr m odel o f t he h ydrogen a tom, a n e lectron i n t he g round s tateorbits a t a r adius o f a bout 0.5 A o. S uppose t he e lectron i s r eplaced b y a m uon( mµc2=105 MeV) t o f orm a m uonic a tom.a. (10 p t) W hat i s t he r adius o f o rbit f or t he m uonic a tom i n i ts g round s tate?b. (10 p t) W hat a re t he e nergies o f t he g round a nd f irst a nd f irst e xcited s tates?c. (10 p t) W hat i s t he w avelength c orresponding t o t he t ransition b etween t he f irst exciteds tate a nd t he g round s tate?3.)Schroedinger e quation.A s imple h armonic o scillator (SHO) h as a m ass m a nd s pring c onstant K. T he p otential e nergy is 1/2Kx2.a. (10 p t) W rite t he S chroedinger e quation f or t he s pace p art o f t he S HO.b. (10 p t) T he w ave f unction f or t he g round s tate h as t he f orm Ae bx2. B y d irects ubstitution s how t his i s a s olution, a nd t hereby f inding t he c onstant b i n t erms o f m a nd Kc. (10 p t) W rite t he p robability d istribution f or t he g round s tate, a nd c arefullyg raph i t.d. (10 p t) W rite a n i ntegral w hichwould b e u sed t o o btain t he n ormalizing c onstantA.You d o n ot n eed t o s olve t his i ntegral)4.)Schroedinger E q. i n 3 d imensions.Consider a t hree d imensional c ubic p otential w ell w ith r igid (infinite) w alls, h avingsides o f d imension L x = L y = L z = L=0.1 n m.a. (5 p t) W rite t he S chroedinger e quation f or a p article w ithin t he w ell.b. (5 p t) W rite t he q uantum c onditions o n k x , k y a nd k z.c. (5 p t) O btain t he q uantum c ondition o n t he w ave n umber k2.d. (5 p t) O btain t he q uantum c ondition o n t he a llowed e nergies E.e. (5 p t) W rite t he g round s tate s olution Ψ(x,y,z)to t he S chroedingere quationf or a p article w ithin t he w ell.f. (5 p t) W rite t he p robability d ensity f or a p article w ithin t he w ell i n t he g roundstate.g. (5 p t) O btain t he n umerical r esult o n t he a llowed e nergies E i n u nits o f e V.h. (5 p t) O btain t he n umber o f e lectrons w hich c an b e a ccommodated a t e ach o ft he l owest 3 e nergy l evels. T ake i nto a ccount t hat d ifferent c ombinations o fq uantum n umbers c an h ave t he s ame e nergy, a nd t hat t wo e lectrons,c orresponding t o s pin u p a nd d own c an f it i ntoe ach c ombination of s patialq uantum n umbers.2006 Exam. 21. A b aby s eal i n t he p acific o cean h as a b ody t emperature o f 310 K. I f t he m ean temperature o f t he w ater i s 287 K a t w hat r ate w ill t he s eal l ose e nergy b y r adiating p hotons? (σ=5.7×10−8 W⋅m-2⋅K-4)2. W ave p article d uality.Compare t he w avelength a nd f requency o f a p hoton a nd e lectron, e ach w ith k ineticenergy 10 K eV.3. B ohr m odel.a. U se t he B ohr m odel o f t he a tom t o e stimate t he e nergy l evels o f p ositronium, i n w hich a n electron o rbits a p ositron.b. T he i onization e nergy (binding e nergy) o f a n e lectron i n h ydrogen i s 13.6 e V.What i s t he i onization e nergy o f p ositronium?4. P article i n a b ox.Approximate a n a tomic n ucleus a s a n i nfinite c ubical b ox o f s ide L=2 f m, w here1 f m = 10-‐15 m, i n w hich t he n ucleons m ove f reely.a. O btain a n e xpression f or t he w avelength o f t he g round, o r l owest l ying e nergy s tate.b. W hat i s t he k inetic e nergy o f a n eutron i n t he g round s tate o f t his a tom. T he r estenergy o f a n eutron i s m c2=939 M eV.5. S imple h armonic o scillator.A n a pproximate r epresentation o f t he i nteraction b etween t wo a toms i n a d iatomicm olecule i s a s pring l ike f orce F=-Kx w ith o scillator f requency ω=. T ake t he f orcec onstant t o b e 8×103 e V/nm2 = 1000 N/m, a nd t he m ass of e ach a tom a round t o b e5×10−27kg(mc2=4.69 G eV). T he w ave f unction f or t he g round s tate o f a s imple h armonic o scillatori s ψ0(x)=mωπ⎛⎝⎜⎞⎠⎟1/4e−mω2x2.a. W hat i s t he e nergy o f t he g round s tate?b. F ind t he w ave f unction i n m omentum s pace b y p erforming a F ourier t ransformation.6. D ensity o f s tates a nd F ermi e nergy.a. F ind t he a verage e nergy o f a n e lectron i n a w hite d warf s tar o f r adius 10,000 k mcontaining 2×1057 n ucleons, h alf o f w hich a re p rotons. T he d ensity o f s tates d istribution i sdNdE=E1/2.b. F rom t he r esults i n p art a, c omment o n w hether i t i s a pproporiate t o u se n on-‐relativistickinematics.Other p roblems f rom p revious e xams:1. A f ree e lectron h as k inetic e nergy 1000 e V. I t m oves i n t he x-y p lane i n a d irection w hichmakes a n a ngle 30 d eg. r elative t o t he x a xis.a. F ind i ts m omentum p, w avelength λ a nd w ave n umber k.b. W rite t he w ave f unction Ψ(x,y,z,t) i n s ymbols (not n umerical v alues) i n C artesiancoordinates.c. W rite t he p robability d ensity P(x,y,z).d. W hat c an y ou s ay a bout t he u ncertainty i n t he e lectron’s p osition.Approximate a n ucleus c onsisting o f f ree n ucleons i n a s pherical r igid w all p otential w ith radius R=4 f m. F or t he i sotope 17O:a. W hat a re t he q uantum n umbers o f e ach o f t he n eutrons a nd p rotons?b. W hat a re t he e nergies o f e ach o f t he n eutrons a nd p rotons i n t he i sotope 17O?2. a. W rite t he w ave f unction f or a f ree p article m oving i n 3-‐dimensional C artesiancoordinates.b. T he r elativistic v ersion o f t he S chroedinger e quation i s c alled t he K lein-‐Gordon e quation.Using E2=p2c2+m2c4, c onstruct t he K lein-‐Gordon e quation b y e xpressing t he e nergy a nd momentum i n t erms o f d ifferential o perators.c. S how t hat t he w ave f unction i n p art a. i s a s olution t o t he K lein-‐Gordon w ave f unction t hatwas c onstructed i n p art c.3.) C onsider a n e lectron w hich m oves f reely i n a 2 d imensional i nfinite s quare w ell o f s ide a . a. W rite t he S chroedinger e quation f or t his c ase. b. W hat a re t he a llowed v alues o fk x and k yc. W hat a re t he a llowed e nergy l evels?d. I f a =10Angstroms, w hat i s t he l owest e nergy.e. W rite t he w ave f unction f or t his s tate.4.) T he t hree p rimary t erms w hich d etermine t he b inding e nergy o f a n ucleusare v olume , s urface a nd C oulomb , E V , E S , E C e nergies.a. W hat i s t he R a nd Z d ependence o f e ach, w here R i s t he n uclear r adius a nd Z t he a tomic number.Also i ndicate t he s ign o f e ach. i E V ∝ii E S ∝iii E C ∝b. W hat i s t he A a nd Z d ependence o f e ach, w here A i s t he n umber o f n ucleons. A lso i ndicate the s ign o f e ach. i E V /A ∝ii E S /A ∝iii E C /A ∝c. D raw t he m agnitude o f e ach a s a f unction o f A , a s w ell a s t he s um o f e ach. B e s ure t o c learly fill i n t he e nergy s cale i n t he v ertical a xis a nd t he n umber o f n ucleons i n the h orizontal a xis a t t he p osition o f t he t ic m arks.5.) I n t he b lank s paces p rovided i n t he t able, f ill i n t he p roperties o f t he p article s hown, a s w ell a s t he energy s cales a nd q uark m akeup w here a ppropriate.6.Draw a g raph f or t he s hape o f t he n ucleon-‐nucleon a ttractive p otential e nergy, i ndicating the a pproximate r ange a nd d epth.particl e Charge Rest m ass energy Units o f energy QuarkFlavor c ontent p +1 .93 GeV uud nπ−.139 π+ e 0.511 ν γ W 89 g7. a . 92238U c aptures a n eutron, f ollowed b y a symmetric f ission i nto 2 u nbound n eutrons a nd3892Sr a nd 54140Xe . O btain t he d ifference i n t he b inding e nergy b etween t he i nitial 92238U and t he f inal 3892Sr a nd 54140Xe n uclides, a nd t herefore t he e nergy r eleased.b . C alculate t he k inetic e nergyd ue t o t he e lectrostatic r epulsion b etween t he 3892Sr a nd 54140Xe w hen t hey a re s till t ouching, a nd s how t hat i t i s t he s ame o rder a s y our a nswerin p art a . a bove. (note:r =r 0A 1/3with r 0≈1.2fm.)8.Fill i n t he t able b elow:9. a . T he m ajor s ource o f e nergy p roduction i n t he s un i s t he p roton-‐proton c ycle. Trace t he s teps o f t he p -p c ycle a s w e d iscussed i n c lass.b . I f t he f inal r esult i s t he f usion o f 4 p rotons i nto 4He ,c alculate t he t otal e nergy r eleased in t he c ycle.10. D raw a F eynman d iagram f or e ach o f t he f ollowing p rocesses, a nd i dentify t he e xchanged quantum:a. e - +µ+♑e - +µ+via t he e lectromagnetic i nteraction. b. e - +µ+♑e + +µ- v ia t he w eak i nteraction.c. u +u →s +s v ia t he s trong i nteraction.6. F rom t he i nformation o n s pin, b aryon n umber a nd s trangeness g iven i n t he t ablebelow, f ill i n t he q uark f lavor c ontent a nd d ecay i nteraction o f e ach o f t he f ollowing h adrons.Decay interact we。
时标上一类非线性中立型微分方程的振动性
Value Engineering1研究背景自1988年Stefan Hilger 在他的博士论文中首次提出测度链上的微分方程理论以来,测度链上时滞动力方程的研究成为目前国际上关注的一个新课题,对其研究具有重要的理论价值和实际应用价值。
而对于许多情况,只需考虑测度链的一种特殊情形———时标,时标指的是实数R 的任意一个非空闭子集,以符号表示。
详细的有关时标的理论见文献[2,5,6]。
本文考虑时标上二阶非线性中立型微分方程(x(t)+n i =1∑p i (t)x(τi (t)))ΔΔ+mj =1∑q j (t)f j (x(r j (t)))=0,t ⩾t 0>0(1)的振动性,其中p i (t),q j (t)∈C rd ([t 0,∞),R +),0⩽τi (t)<t ,0⩽r j (t)<t,r j (t)非减,q j (t)不最终恒为零,f j (x)/x ⩾εj >0,i=1,2,…n ,j=1,2,…m,本文中记ε=min{εj },r(t)=min{r j (t)},z(t)=x(t)+ni =1∑p i(t)x(τi (t))。
2主要结果引理1设x(t)为(1)的非振动解,若x(t)最终为正(负),则最终有z Δ(t)>0(z Δ(t)<0)。
证明假设x(t)为(1)的最终正解(最终负解同样可证),即存在充分大的t 1⩾t 0>0,当t ⩾t 1时,x(t)>0,x(τi (t))>0,x(r i (t))>0,易知z(t)=x(t)+ni =1∑p i (t)x(τi (t))⩾0且z ΔΔ(t)=-m j =1∑q j (t)f j (x(r i (t)))⩽0(2)故知z Δ(t)单调递减,且z Δ(t)>0。
若不然,则z Δ(t)⩽0,因为q j (t)不最终恒为零,故z Δ(t)不最终恒为零,故存在t 2,当t ⩾t 2⩾t 1,有z Δ(t)⩽z Δ(t 2)(3)对(3)式从t 2到t 积分,有z(t)-z(t 2)⩽t t ∫z Δ(t 2)ΔS=z Δ(t 2)(t-t 2),当t→∞时,得z(t)→-∞。
Ground state solutions to the nonlinear Schrodinger-Maxwell equations
Ground state solutions for the nonlinear Schrodinger-Maxwell ¨ equations
A. Azzollini ∗ & A. Pomponio†
Abstract In this paper we study the nonlinear Schrodinger-Maxwell ¨ equations −∆u + V (x)u + φu = |u|p−1 u in R3 , −∆φ = u2 in R3 . If V is a positive constant, we prove the existence of a ground state solution (u, φ) for 2 < p < 5. The non-constant potential case is treated under suitable geometrical assumptions on V , for 3 < p < 5. Existence and non-existence results are proved also when the nonlinearity exhibits a critical growth.
R3
1 4
|∇φ|2 +
R3
1 2
φu2 −
R3
1 p+1
|u|p+1.
R3
We are interested in finding a ground state solution of (1), that is a solution (u0 , φ0 ) of (1) with the property of having the least action among all possible solutions of (1), namely E (u0, φ0 ) E (u, φ), for any solution (u, φ) of (1). The action functional E exhibits a strong indefiniteness, namely it is unbounded both from below and from above on infinite dimensional subspaces. This indefiniteness can be removed using the reduction method described in [4], by which we are led to study a one variable functional that does not present such a strongly indefinite nature. The main difficulty related with the problem of finding the critical points of the new functional, consists in the lack of compactness of the Sobolev spaces embeddings in the unbounded domain R3 . Usually, at least when V is radially symmetric, such a difficulty is overcome by restricting the functional to the natural constraint of the radial functions where compact embeddings hold. In particular, in [13] a radial solution having minimal energy among all the radial solutions has been found. However we are not able to say if that solution actually is a ground state for our equation. This is the reason why we will use an alternative method, based on a concentration-compactness argument on suitable measures, to recover compactness. We analyze two different situations. First we assume that V is a positive constant and, following an idea of Ruiz [20], we look for a minimizer of the reduced functional restricted to a suitable manifold M. Such a manifold has two interesting features: it is a natural constraint for the reduced functional and it contains, in a sense that we will explain later (see Remark 2.2), every solution of the problem (1). The main result we get is the following Theorem 1.1. If V is a positive constant, then the problem (1) has a ground state solution for any p ∈]2, 5[. In fact, it is standard to see that such a ground state solutions does not change sign, so we can assume it positive. Then we study (1) assuming the following hypotheses on V : (V1) V ∈ C (R3 , R);
遇事不决量子力学 英语
遇事不决量子力学英语Quantum Mechanics in Decision-MakingIn the face of complex and uncertain situations, traditional decision-making approaches often fall short. However, the principles of quantum mechanics, a field of physics that explores the behavior of matter and energy at the subatomic level, can provide valuable insights and a new perspective on problem-solving. By understanding and applying the fundamental concepts of quantum mechanics, individuals and organizations can navigate challenging scenarios with greater clarity and effectiveness.One of the key principles of quantum mechanics is the idea of superposition, which suggests that particles can exist in multiple states simultaneously until they are observed or measured. This concept can be applied to decision-making, where the decision-maker may be faced with multiple possible courses of action, each with its own set of potential outcomes. Rather than prematurely collapsing these possibilities into a single decision, the decision-maker can embrace the superposition and consider the various alternatives in a more open and flexible manner.Another important aspect of quantum mechanics is the principle of uncertainty, which states that the more precisely one property of a particle is measured, the less precisely another property can be known. This principle can be applied to decision-making, where the decision-maker may be faced with incomplete or uncertain information. Instead of trying to eliminate all uncertainty, the decision-maker can acknowledge and work within the constraints of this uncertainty, focusing on making the best possible decision based on the available information.Furthermore, quantum mechanics introduces the concept of entanglement, where two or more particles can become inextricably linked, such that the state of one particle affects the state of the other, even if they are physically separated. This idea can be applied to decision-making in complex systems, where the actions of one individual or organization can have far-reaching and unpredictable consequences for others. By recognizing the interconnectedness of the various elements within a system, decision-makers can better anticipate and navigate the potential ripple effects of their choices.Another key aspect of quantum mechanics that can inform decision-making is the idea of probability. In quantum mechanics, the behavior of particles is described in terms of probability distributions, rather than deterministic outcomes. This probabilistic approach can be applied to decision-making, where the decision-maker canconsider the likelihood of different outcomes and adjust their strategies accordingly.Additionally, quantum mechanics emphasizes the importance of observation and measurement in shaping the behavior of particles. Similarly, in decision-making, the act of observing and gathering information can influence the outcomes of a situation. By being mindful of how their own observations and interventions can impact the decision-making process, decision-makers can strive to maintain a more objective and impartial perspective.Finally, the concept of quantum entanglement can also be applied to the decision-making process itself. Just as particles can become entangled, the various factors and considerations involved in a decision can become deeply interconnected. By recognizing and embracing this entanglement, decision-makers can adopt a more holistic and integrated approach, considering the complex web of relationships and dependencies that shape the outcome.In conclusion, the principles of quantum mechanics offer a unique and compelling framework for navigating complex decision-making scenarios. By embracing the concepts of superposition, uncertainty, entanglement, and probability, individuals and organizations can develop a more nuanced and adaptable approach to problem-solving. By applying these quantum-inspired strategies, decision-makers can navigate the challenges of the modern world with greater clarity, resilience, and effectiveness.。
The Newcastle-Ottawa Scale for Assessing the Quality of Nonrandomized Studies in Meta-Analysis
Compara bility
1) Comparability of cases and controls on the basis of the design or analysis a) study controls for _________ ______ (Select the most important factor.) b) study controls for any additional factor (This criteria could be modified to indicate specific control for a second important factor.)
4. Definition of Controls a) no history of disease (endpoint) b) no description of source
e.g. ICD codes in database >1 person/record/time/process or self-report with no to extract information, or reference to primary record reference to primary record or no description source such as x-rays or medical/hospital records
Selection
1) Is the case definition adequate? a) yes, with independent validation b) yes, eg record linkage or based on self reports c) no description 2) Representativeness of the cases a) consecutive or obviously representative series of cases b) potential for selection biases or not stated 3) Selection of Controls a) co mmunity controls b) hospital controls c) no description 4) Definition of Controls a) no history of disease (endpoint) b) no description of source
Solutions to the nonlinear Schroedinger equation carrying momentum along a curve. Part I st
≤ V3 ,
(for some fixed constants V1 , V2 , V3 ) ψ a complex-valued function, ε > 0 a small parameter and p an exponent greater than 1. Here ∆g stands for the Laplace-Beltrami operator on (M, g ). (N LSε ) arises from the study of the Nonlinear Schr¨ odinger Equation (2) i ˜ ∂ψ ˜ + V (x)ψ ˜ − |ψ ˜|p−1 ψ ˜ = − 2 ∆ψ ∂t on M × [0, +∞),
where x0 is the concentration point. The solutions uε obtained in the aforementioned papers behave x0 as ε tends to zero, and since Ux0 decays exponentially to zero at qualitatively like uε (x) Ux0 x− ε infinity, uε vanishes rapidly away from x0 . Two comments are in order: first of all the criticality of V at x0 is a necessary condition for such a n+2 behavior, as shown in [55]. Secondly, as pointed out in [17], also the upper bound p < n −2 is required for having solutions concentrating at points: indeed the well-known Pohozaev’s identity imposes this restriction for having existence of solutions to (3) tending to zero at infinity. The above existence results have been extended in several directions, including the construction of solutions with multiple peaks, the case of degenerate potentials, potentials tending to zero at infinity and more general nonlinearities. We refer the interested reader for example to the (incomplete) list of works [1], [2], [3], [6], [7], [8], [16], [22], [28], [33] and to the bibliographies therein. We also mention the mathematical similarities between (N LSε ) and the following problem 2 p in Ω, −ε ∆u + u = u ∂u (Pε ) on ∂ Ω, ∂ν = 0 u>0 in Ω, where Ω is a smooth bounded domain of RN , p > 1, and where ν denotes the exterior unit normal vector to ∂ Ω. Problem (Pε ) arises in the study of some biological models, see for example [47] and references therein, and as (N LSε ) it exhibits concentration of solutions at some points of Ω. Since the last equation is homogeneous, the location of the concentration points is determined by the geometry of the domain: if it occurs at the boundary, these are critical points of the mean curvature while if it occurs at the interior these points are (roughly) singular points for the distance function from the boundary. About this topic, we refer the reader to [19], [23], [29], [30], [31], [32], [35], [36], [37], [48], [49], [50], [56]. More recently, new types of solutions to (N LSε ) have been found, since when ε tends to zero they do not concentrate at points, but instead at sets of higher dimension. Before stating our main result, it is convenient to recall the progress on this topic and to illustrate the new phenomena involved. Some first results in this direction were given in [12], [14] in the case of radial symmetry, and later improved in [4] (see also [5] for the problem in bounded domains), where necessary and sufficient conditions for the location of the concentration set have been given. Differently from the previous case, the limit set is not anymore stationary for the potential V : indeed, from heuristic considerations, the energy of a solution concentrated near a sphere of radius r depends both on V and on its volume, which is proportional to εrn−1 . In [4] it was shown that the candidate radii of concentration are the critical points of the p+1 1 function rn−1 V (r) p−1 − 2 (the power of V in this formula arises from some scaling argument, related to the dependence in V (x0 ) of the solutions to (3), see also Section 2). Furthermore, no upper bound on 2
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Abstract
We perform a high statistics calculation of the equation of state for non-compact QED on large lattices. The calculation extends to fermionic correlation lengths of 8, and it is combined with a nite size scaling analysis of the lattice data.
1 Introduction
Non-compact lattice QED undergoes a second order chiral phase transition at strong coupling 1]. This allows one to take the cut-o to in nity, which is prerequisite to a non-perturbative de nition of a continuum theory. A wide-spread belief is that QED, like other non asymptotically-free theories, is trivial in the sense that all renormalized couplings vanish as the cut-o is taken to in nity. It would, of course, be much more interesting if the theory had a non-trivial continuum limit. In a series of papers 2, 3, 4, 5, 6] we have investigated the ultra-violet behaviour of four- avour non-compact QED using staggered fermions. Among other things, we found that the data are consistent with mean eld critical exponents plus logarithmic corrections, and that the renormalized charge vanishes in the continuum limit. Furthermore, the e ective Yukawa couplings could be shown to follow roughly the behaviour of the renormalized charge, which suggests that they too vanish at the critical point. On the other hand, the Illinois group has mainly focused on the equation of state. They rst reported 7] Miransky scaling 8] and argued that the phase transition is driven by monopole condensation, leading to electron con nement in the chirally broken phase 9]. Later on this transition was interpreted as four-dimensional percolation 10] with power-law critical exponents, the major support for this idea being the apparent coincidence of chiral phase transition and monopole percolation thresholds. But \the truth cannot be so simple", as Hands and Kogut concluded 11] correctly 12]. Another approach was suggested by the Zaragoza group, who use a mean eld guided algorithm to simulate the e ect of dynamical fermions 13, 14, 15]. In this algorithm the chiral limit is taken before the in nite volume limit. It is known from examples of explicitly solvable models that this can lead to wrong results 16]. We expect this procedure to be particularly dangerous in the symmetric phase of the theory. In spite of these e orts the subject has remained controversial. The various groups disagree in the exact position of the critical point and the critical exponents of the chiral phase transition. In the present paper we shall return to the determination of the equation of state with improved statistics, simulating on larger lattices and closer to the critical point, and hopefully answer some of the open questions. The paper is organized as follows. In section 2 we give the details of the lattice calculation. In section 3 we derive a nite size formula for the chiral condensate and the ratio of scalar and pseudoscalar susceptibilities. We use that formula to extrapolate the lattice data to the in nite volume. In section 4 we investigate possible forms of the equation of state, and in section 5 we determine the parameters by tting to the data. Alternatively, the critical coupling and exponents can be determined from the susceptibility ratio, which is discussed in section 6. In section 7 we derive a relation between 2
the equation of state and the average plaquette. This provides a further test of our results. Finally, in section 8 we end with some concluding remarks.
DESY 96-084 FUB-HEP/96-06 HLRZ 96-26 HUB-EP-96/14 ZIB Preprint SC 96-15 May 1996
Seeking the Equation of State of Non-Compact Lattice QED
M. Gockeler ; , R. Horsley , V. Linke , P.E.L. Rakow , G. Schierholz ; and H. Stuben
2 Lattice Calculation
The non-compact gauge eld action is given by
SG = 2 F 2 (x) x; <
with
X
(1)
Frward lattice derivative, = 1=e2, and e is the bare charge. In Eqs. (1) and (2) and in the following the lattice constant has been set equal to 1 for convenience, so that all dimensionful quantities are to be understood in units of the (inverse) lattice spacing. The gauge elds take values on the real line. As long as one only considers gauge invariant quantities, the functional integral can always be made well-behaved, in spite of the unbounded range of integration. Since chiral symmetry plays a major role in this work, a natural choice for the fermionic variables are staggered fermions. The corresponding action is given by SF = (x)Mxy (y); (3)