Statistical Properties of Hyperbolic Dynamical Systems and Applications to Statistical Physics

在混沌动力学系统中预测一个轨迹的未来行为几乎是不可能的，因为任何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。在数学和物理文献中已经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。该研究项目研究此类系统。我们的目标是以数学上严格的方式证明，这些系统从长远来看表现得好像是随机的。因此，随机过程理论的思想可以用来从微观无序中推导出统计宏观有序的出现，也就是说，当系统的规模或观测时间很大，初始状态很典型时。对于上述例子，该方法提供了从某些微观确定性模型导出热方程的方法，这是统计物理数学理论中的核心问题。具体而言，将研究三个研究项目。在第一个模型中，考虑了确定性相互作用球的大系统。受时间尺度现象的普遍分离的启发，我们将研究一个所谓的罕见相互作用极限，即当系统可以近似为任何相互作用对之间的独立Sinai台球粒子时。第二个项目是关于有限测度和无限测度情形下双曲型方程组的高级统计性质。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，包括项目之一，以及其连接到无限测度混合将研究双曲映射和流动。第三个项目研究相互作用粒子的随机系统。该奖项反映了NSF的法定使命，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。

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.