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Statistical Properties of Hyperbolic Dynamical Systems and Applications to Statistical Physics

双曲动力系统的统计性质及其在统计物理中的应用

基本信息

批准号：
1800811
负责人：
Peter Nandori
金额：
$ 11.32万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-01 至 2019-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1800811&HistoricalAwards=false
关键词：
Statistical Properties Hyperbolic Dynamical Systems

项目摘要

It is practically impossible the predict the future behavior of one trajectory in a chaotic dynamical system as any small measurement error leads to huge uncertainty in relatively short amount of time. Many such chaotic systems have been proposed in both the mathematics and physics literature to model some real-life phenomena. For example, a deterministic system of interacting particles could model the microscopic motion of electrons. This research project studies such systems. The goal is to prove, in a mathematically rigorous way, that these systems on the long run behave as if they were random. Consequently, ideas from the theory of random processes can be applied to derive the emergence of statistical macroscopic order from microscopic disorder, that is when the system size or the time of observation is large and the initial state is typical. For the above-mentioned example, this approach provides a derivation of the heat equation from some microscopic deterministic models, which is a central question in the mathematical theory of statistical physics.Specifically, three research projects will be studied. In the first one, some large system of deterministic interacting balls is considered. Motivated by the common separation of time scale phenomenon is physics, a so called rare interaction limit will be studied, that is when the system can be approximated by independent Sinai billiard particles between any pair interactions. The second project is about advanced statistical properties of hyperbolic systems in both finite and infinite measure case. For example, the local central limit theorem, as a very useful tool in many applications including project one, as well as its connections to infinite measure mixing will be studied for hyperbolic maps and flows. The third project studies stochastic systems of interacting particles. The problems to be studied include the emergence of local equilibrium for systems forced out of equilibrium and joint transport of mass and energy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在混沌动力系统中，任何微小的测量误差都会在相对较短的时间内导致巨大的不确定性，因此预测一条轨迹的未来行为几乎是不可能的。数学和物理文献中都提出了许多这样的混沌系统来模拟一些现实生活中的现象。例如，相互作用粒子的确定性系统可以模拟电子的微观运动。本研究项目研究这样的系统。我们的目标是用一种严谨的数学方法来证明，这些系统从长远来看是随机的。因此，随机过程理论的思想可以应用于从微观无序中推导出统计宏观有序的出现，即当系统大小或观察时间很大并且初始状态是典型的时候。对于上述例子，该方法提供了从一些微观确定性模型推导热方程的方法，这是统计物理数学理论中的一个核心问题。具体而言，将研究三个研究项目。在第一种方法中，考虑了一些大型的确定性相互作用球系统。受时间尺度分离现象的启发，物理学将研究一个所谓的稀有相互作用极限，即当系统可以被任意对相互作用之间的独立西奈台球粒子所近似。第二个项目是关于有限和无限测量情况下双曲系统的高级统计性质。例如，局部中心极限定理，作为一个非常有用的工具，在许多应用中，包括项目一，以及它与无限测度混合的联系，将研究双曲图和流。第三个项目研究相互作用粒子的随机系统。要研究的问题包括被迫脱离平衡的系统的局部平衡的出现以及质量和能量的联合输运。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。