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Limit Theorems in Dynamical Systems

动力系统中的极限定理

基本信息

批准号：
1665046
负责人：
Dmitry Dolgopyat
金额：
$ 20.5万
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：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2020-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1665046&HistoricalAwards=false
关键词：
Limit Theorems Dynamical Systems

项目摘要

This mathematical research project deals with probabilistic properties (or stochasticity) in deterministic systems. Many deterministic systems exhibit random behavior due to sensitive dependence on initial conditions. The goal of the present project is to develop methods of predicting the behavior of such systems using a statistical approach. Particular attention will be paid to describing the dynamics on short spatial and long temporal scales. The methods developed during this project will have applications to several fields, including probability theory, number theory, and statistical physics. The investigator also will continue his synergistic activities including organizing conferences, giving lectures and minicourses on recent advances in dynamics, writing survey papers, and mentoring graduate students.The investigator will work on limit theorems for dynamical systems. The main directions of research will concern (1) local limit theorems and related asymptotic expansions and (2) limit theorems for toral translations and other zero entropy systems. The methods will be drawn from dynamical systems and probability theory. In particular the investigations will rely on a spectral approach and renormalization techniques. The connection between the two parts of the project is that the limit theorems for renormalization dynamics developed in the first part of this project will play important role in the second part.

这个数学研究项目涉及确定性系统中的概率特性（或随机性）。许多确定性系统由于对初始条件的敏感依赖而表现出随机行为。本项目的目标是开发使用统计方法预测此类系统行为的方法。将特别注意描述短空间和长时间尺度上的动态。在这个项目中开发的方法将应用于几个领域，包括概率论，数论和统计物理。研究员还将继续他的协同活动，包括组织会议，就动力学的最新进展进行讲座和小型课程，撰写调查论文，并指导研究生。研究员将致力于动力系统的极限定理。主要的研究方向是：（1）局部极限定理和相关的渐近展开式;（2）轨道平移和其他零熵系统的极限定理。这些方法将来自动力系统和概率论。特别是调查将依赖于光谱的方法和重整化技术。这两个部分之间的联系是，在这个项目的第一部分中开发的重整化动力学的极限定理将在第二部分中发挥重要作用。