Instabilities in Hamiltonian systems

哈密​​顿系统的不稳定性

• 批准号: RGPIN-2019-07057
• 负责人: Zhang, Ke
• 金额: $ 1.53万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739283
• 关键词: Instabilities; Hamiltonian; systems

Instabilities in Hamiltonian systems has been a central question in dynamical systems, since the founding of the field. This question has both been motivated by celestial mechanics (stability of the solar system) and by statistical physics (micro foundation of the thermodynamic laws). Among them, one important question is the Arnold diffusion, which asks whether a typical perturbation of a completely integrable system exhibit topological instability. This question is both difficult and deep, due to the remarkable stability enjoyed by nearly integrable systems, such as KAM and Nekhoroshev theory. With Vadim Kaloshin and other collaborators, we have been key contributors towards answering this question in two and a half degree of freedom, for smooth Hamiltonian systems. However, our understanding of the instability is still very limited. My proposed research deepens our knowledge in two separate directions. 1. Topological instability in higher degrees of freedom, and in the analytic category. With Vadim Kaloshin, we proposed a plan to study Arnold diffusion in higher degrees of freedom, using reduction to lower dimensional structures. We hope to fully answer Arnold's question in the smooth category. On the other hand, Arnold asked his original questions for analytic systems, where very little is known. With our knowledge in the smooth case, I propose to tack the analytic case, starting from simpler models. 2. Stochastic description of unstable orbit. The term "Arnold diffusion" was coined because, based on numerical evidence, the unstable exhibit a random-walk-like behavior, just like a diffusion orbit. I propose to prove stochastic limit theorems which justify the diffusion aspect. Philosophically, this aligns with the idea of "deterministic randomness", where random behavior can emerge from fully deterministic systems. The research will be pursued in two directions: in models of instability such as the a priori unstable model, one can embed a normally hyperbolic lamination, on which the dynamics is conjugate to a random dynamical systems; in slow fast system, where limit to a diffusion process can be proven. With the propose the research, we also advance our knowledge in the underlying theory, in particular weak KAM theory. These results will be applied to related fields, such as regular and random Hamilton-Jacobi equations.

自该领域建立以来，哈密顿系统的不稳定性一直是动力系统的中心问题。这个问题的动机是天体力学（太阳系的稳定性）和统计物理学（热力学定律的微观基础）。其中，一个重要的问题是阿诺德扩散，它询问一个典型的扰动的完全可积系统是否表现出拓扑不稳定性。这个问题既困难又深刻，因为几乎可积的系统，如KAM和Nekhoroshev理论，具有显著的稳定性。 与Vadim Kaloshin和其他合作者一起，我们一直是在2.5自由度中回答这个问题的关键贡献者，对于光滑的哈密顿系统。然而，我们对不稳定性的理解仍然非常有限。我提出的研究在两个不同的方向上加深了我们的知识。 1.拓扑不稳定性在较高的自由度，并在分析范畴。与Vadim Kaloshin，我们提出了一个计划，研究阿诺德扩散在更高的自由度，使用减少到低维结构。我们希望在光滑类中完全回答阿诺德的问题。另一方面，阿诺德提出了他对分析系统的原始问题，在那里知之甚少。根据我们在光滑情况下的知识，我建议从更简单的模型开始，研究分析情况。 2.不稳定轨道的随机描述。阿诺德扩散（Arnold diffusion）一词之所以被创造出来，是因为基于数值证据，不稳定性表现出类似于随机行走的行为，就像扩散轨道一样。我建议证明随机极限定理证明扩散方面。从哲学上讲，这与“确定性随机性”的思想相一致，即随机行为可以从完全确定性的系统中出现。研究将在两个方向上进行：在不稳定的模型，如先验不稳定模型，可以嵌入一个正常的双曲层，其上的动态是共轭的随机动力系统;在慢快系统，其中限制扩散过程可以证明。 随着研究的提出，我们也推进了我们对基础理论的认识，特别是弱KAM理论。这些结果将应用于相关领域，如正则和随机Hamilton-Jacobi方程。