New Challenges in the Study of Propagation of Randomness for Nonlinear Evolution Equations

非线性演化方程随机传播研究的新挑战

• 批准号: 2400036
• 负责人: Andrea Nahmod
• 金额: $ 38.85万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2400036&HistoricalAwards=false
• 关键词: New; Challenges; Study; Propagation; Randomness

Waves are everywhere in nature. We observe them when we look at the ripples that form when we throw a pebble in a lake, the expanding ring called a wave-packet; or when we look at a rainbow that is formed when light wave passes through a prism or water droplet and note the spatial separation of white light into different colors. Partial differential equations (PDE) modeling wave propagation phenomena have played a fundamental role in understanding such physical and natural events as well as quantum mechanics, fiber optics, ferromagnetism, atmospheric and water waves, and many other physical models. In these cases, wave phenomena are never too smooth or too simple, and in fact the byproduct of nonlinear wave interactions as they propagate in time. Being able to understand and describe the dynamical behavior of such models under certain noisy conditions or given an initial statistical ensemble and have a precise description of how the inherent randomness built in these models propagates, is fundamental to accurately predict wave phenomena when studying the natural world. This project is aimed at answering several central questions about long-time dynamics and the propagation of randomness in this context using analytical and probabilistic methodologies. The work of the project, and its connections to science, promotes interdisciplinary interactions and fosters the training of graduate students and junior researchers in the United States thus fundamentally contributing to its STEM workforce. The interplay of deterministic methods in nonlinear PDE and probabilistic ones naturally feed off each other and when combined contribute to a deep understanding of wave phenomena, which opens the door to new paradigms that move research forward in various directions. The Principal Investigator studies several projects at the forefront of current research. The problems, grouped in two interrelated directions, aim broadly at: (1) studying the out of equilibrium long-time dynamics of dispersive flows from a probabilistic viewpoint in energy subcritical regimes by means of suitable quantitative quasi-invariance, modified energies and stability theory of random structures; (2) establishing the invariance of Gibbs measures for the probabilistically critical three-dimensional nonlinear Schrödinger equation (also known as a model in constructive quantum field theory) in the context of equilibrium statistical mechanics; (3) establishing a suitable probabilistic local theory of the hyperbolic sine-Gordon equation on 2D tori and the invariance of its associated Gibbs measure; and (4) the development of the random tensor theory for the nonlinear wave equations and for non-Gaussian data. The research bridges between the dispersive and wave equations communities that specialize in stochastic equations and contributes to understanding in a fundamental way propagation of randomness in nonlinear wave phenomena.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.

波在自然界中无处不在。当我们在湖中投下一颗小石子时，我们会看到涟漪形成的波纹，这个不断扩大的环被称为波包;或者当我们看到光波通过棱镜或水滴时形成的彩虹，注意到白色光在空间上分离成不同的颜色时，我们就会看到它们。偏微分方程（PDE）建模波传播现象在理解这些物理和自然事件以及量子力学、光纤、铁磁性、大气和水波以及许多其他物理模型方面发挥了基础作用。在这些情况下，波动现象从来不会太平滑或太简单，事实上，它是非线性波动相互作用的副产品，因为它们在时间上传播。能够理解和描述这些模型在某些噪声条件下或给定初始统计系综的动力学行为，并精确描述这些模型中固有的随机性如何传播，是在研究自然世界时准确预测波动现象的基础。这个项目的目的是回答几个核心问题的长期动态和传播的随机性，在这种情况下，使用分析和概率方法。该项目的工作及其与科学的联系促进了跨学科的互动，并促进了美国研究生和初级研究人员的培训，从而从根本上促进了其STEM劳动力。非线性偏微分方程中确定性方法和概率方法的相互作用自然地相互补充，当结合起来时，有助于对波动现象的深入理解，这为推动研究向各个方向发展的新范式打开了大门。首席研究员研究了当前研究前沿的几个项目。这些问题可分为两个相互关联的方向，其主要目的是：（1）利用合适的定量拟不变性、修正的能量和随机结构稳定性理论，从概率观点研究能量亚临界区弥散流的非平衡长时间动力学;（2）建立了概率临界三维非线性薛定谔方程的Gibbs测度不变性（3）建立了二维环面上双曲sine-Gordon方程的概率定域理论及其相应的Gibbs测度的不变性;非线性波动方程和非高斯数据的随机张量理论的发展。该研究在专门研究随机方程的色散和波动方程社区之间架起了桥梁，有助于从根本上理解非线性波动现象中随机性的传播。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。