Integrable Partial Differential Equations as Pathfinders in Mathematical Physics

可积偏微分方程作为数学物理的探路者

• 批准号: 2154022
• 负责人: Rowan Killip
• 金额: $ 31.1万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2154022&HistoricalAwards=false
• 关键词: Integrable; Partial; Differential; Equations; Pathfinders

Integrable systems have long served as pathfinders in science. Newton transformed our understanding of gravity because he was able to solve the two-body problem (a completely integrable system) and so verify that his inverse-square law of gravity matched empirical observations. That the three-body problem is not solvable in the same sense does not undermine this; indeed, it is precisely what makes the basic two-body paradigm so essential to our understanding! Likewise, the shell model of the atom is born of a completely integrable approximation. The integrable systems at the center of this project are significantly more complicated, but likewise serve as oracles for the full-complexity systems at the forefront of science and engineering. Indeed, all the concrete models studied as part of this project arose initially as effective models of real physical systems (such as water waves, optics, and magnetohydrodynamics), stripped down to reveal the central mechanisms behind the observed phenomena. To fulfill the role just articulated, we must study these integrable systems in large-data non-perturbative regimes - regimes where still simpler models cannot reproduce the observed phenomenology. This is a hallmark of this research project and indeed, of the methods developed in the PI's recent work, more broadly. The project provides significant research training opportunities for graduate students and postdoctoral scholars, who are integrated into every major activity of the project.The primary goal of the project is to advance the low-regularity theory of certain completely integrable dispersive partial differential equations, both as an end onto itself and as a tool for understanding the statistical mechanics of these systems. As a means to this end, the project further develops the commuting flows paradigm and seeks out new and diverse applications for several technical tools developed in support of this approach. Well-posedness problems will be studied, including that of the derivative nonlinear Schrodinger equation. Microscopic conservation laws will be deployed to further elaborate the spacetime structural properties of solutions constructed via commuting flows. The synthesis of renormalization and commuting flows technologies will be investigated, with a view to well-posedness, to the construction of Gibbs states, and to the dynamical properties thereof. Likewise, the continuum limit of discrete integrable models will be investigated both for deterministic initial data and as a means of gaining insight into Gibbs-state dynamics.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.

可积系统长期以来一直是科学领域的探路者。牛顿改变了我们对引力的理解，因为他能够解决二体问题（一个完全可积的系统），从而验证了他的引力平方反比定律与经验观察相匹配。在同样的意义上，三体问题是不可解的，但这并不破坏这一点；事实上，正是它使基本的两体范式对我们的理解如此重要！同样，原子的壳层模型也是由完全可积近似产生的。这个项目中心的可积系统要复杂得多，但同样可以作为科学和工程前沿的全复杂性系统的预言器。事实上，作为该项目的一部分所研究的所有具体模型最初都是作为真实物理系统（如水波、光学和磁流体动力学）的有效模型出现的，它们被剥离出来，揭示了所观察到的现象背后的核心机制。为了完成刚才阐述的角色，我们必须在大数据非扰动状态下研究这些可积系统——在这种状态下，更简单的模型无法再现所观察到的现象学。这是这个研究项目的一个标志，事实上，PI最近的工作中开发的方法更广泛。该项目为研究生和博士后提供了重要的研究训练机会，他们融入了项目的每一项主要活动。该项目的主要目标是推进某些完全可积色散偏微分方程的低正则性理论，既是对自身的终结，也是理解这些系统的统计力学的工具。为了实现这一目标，该项目进一步发展了通勤流范式，并为支持这一方法而开发的几种技术工具寻求新的、多样化的应用。将研究适定性问题，包括微分非线性薛定谔方程的适定性问题。微观守恒定律将用于进一步阐述通过交换流构建的解的时空结构特性。从适定性、吉布斯态的构造及其动力学性质的角度出发，研究了重整化和交换流技术的综合。同样，离散可积模型的连续统极限将被研究确定的初始数据和作为一种手段，获得洞察吉布斯状态动力学。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。

项目成果

The scattering map determines the nonlinearity

散射图决定了非线性

• DOI: 10.1090/proc/16297
• 发表时间: 2023
• 期刊: Proceedings of the American Mathematical Society
• 影响因子: 1
• 作者: Killip, Rowan;Murphy, Jason;Visan, Monica
• 通讯作者: Visan, Monica