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Singularities in Harmonic Analysis and the Calculus of Variations

调和分析中的奇点和变分计算

基本信息

批准号：
2000288
负责人：
Max Engelstein
金额：
$ 17.85万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2000288&HistoricalAwards=false
关键词：
Singularities Harmonic Analysis Calculus Variations

项目摘要

Harmonic analysis and the calculus of variations are two of the oldest branches of mathematical analysis. Harmonic analysis is the study of the scale invariant properties of functions such as the oscillation of violin strings; it underpins much of modern image and signal processing. The calculus of variations is the study of energy minimizers; for example, a soap film hanging off a wire forms a shape which minimizes the surface tension. The purpose of this project is twofold: first to use harmonic analysis to study the behavior of energy minimizers under perturbations (like a soap film in a mild wind). Second, to use techniques from the calculus of variations to study a central problem in harmonic analysis, namely how does diffusion (i.e. heat spreading through a room) detect geometry. This synergy should not only lead to mathematical breakthroughs but also refine our ability to use these mathematical ideas to predict physical phenomena. The project provides research training opportunities for graduate students.The investigator is interested in singularities of minimizers (places where the minimizer fails to be smooth, like the corners soap bubbles form when they touch each other). In particular, the investigator wants to develop tools to study these singularities which are persistent under perturbations (either of the energy or the initial conditions). To develop these tools, new ideas from harmonic analysis and geometric measure theory are necessary. The investigator is also interested in the problem of how solutions to elliptic differential equations (which model diffusion) detect the geometry of domains in Euclidean space. Recently, there have been major breakthroughs showing that homogeneous diffusion can detect some geometric features. The investigator believes that ideas from the calculus of variations can extend this breakthrough to understand what finer geometric details inhomogeneous diffusion can detect.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.

调和分析和变分是数学分析中最古老的两个分支。调和分析是对函数尺度不变性的研究，例如小提琴弦的振动；它是现代图像和信号处理的基础。变分法是对能量最小化的研究；例如，挂在电线上的肥皂膜形成了一个使表面张力最小化的形状。这个项目的目的有两个：首先，使用调和分析来研究能量最小化器在扰动(就像微风中的肥皂膜)下的行为。第二，使用变分中的技巧来研究调和分析中的一个中心问题，即扩散(即热在房间中传播)如何检测几何。这种协同作用不仅应该导致数学上的突破，而且还应该提高我们使用这些数学思想来预测物理现象的能力。该项目为研究生提供了研究培训机会。研究人员对极小器的奇点(极小器不光滑的地方，如肥皂泡相互接触时形成的角落)感兴趣。特别是，研究人员希望开发工具来研究这些在扰动(无论是能量还是初始条件)下持续存在的奇点。为了开发这些工具，调和分析和几何测度论的新思想是必要的。研究人员还对椭圆型微分方程解(模型扩散)如何检测欧氏空间中区域的几何问题感兴趣。近年来，均匀扩散可以检测到一些几何特征，并取得了重大突破。这位研究人员认为，变分法的想法可以扩展这一突破，以了解非均匀扩散可以检测到更精细的几何细节。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。