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CAREER: New Mechanisms for Stability, Regularity and Long Time Dynamics of Partial Differential Equations

CAREER: New Mechanisms for Stability, Regularity and Long Time Dynamics of Partial Differential Equations
职业:偏微分方程稳定性、正则性和长期动力学的新机制
批准号:
1945179
负责人:
Hao Jia
金额:
$42.5万
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
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30

项目摘要

项目成果

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中文摘要
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英文摘要
The project focuses on mathematical analysis of nonlinear partial differential equations that are inspired by fluid dynamics and wave propagation. Understanding the dynamics of incompressible fluids, such as water and air at subsonic speed, is important for a variety of applications, ranging from the design of airplanes, boats and motors, to the study of oceans and the atmosphere. Coherent structures, such as vortices (eddies) and shear flows, are prominent features in fluid dynamics. The formation, stability, and evolution of coherent structures are critical fluid phenomena to understand in order to reduce drag, oscillation, and instability in scientific and engineering applications. The PI will develop new, innovative mathematical methods to analyze the dynamic properties of physically important coherent structures, which can resolve theoretical difficulties as well as provide powerful mathematical tools for practical applications. The PI will also study the interaction of radiation and particles in the context of wave maps, which have a deep connection to the classical field theories from mathematical physics. The proposed projects provide an ideal training ground for junior researchers in applying cutting edge mathematical analysis to study sophisticated physical phenomena in fluid dynamics and wave propagation. Graduate students will be actively involved in these research projects. The PI and collaborators aim to develop new methods that can effectively combine precise spectral and Fourier analysis in the context of nonlinear asymptotic stability problems of fluid dynamics. In many physical problems, the analysis of large coherent structures requires precise spectral analysis for the linearized flow, while Fourier analysis has proved indispensable in uncovering delicate nonlinear interactions. Thus, the techniques developed in the project may have a wider range of applications in other technically challenging perturbative problems. The PI will also study simpler models of fluid equations in an effort to understand the interaction and balance between vorticity stretching and vorticity transportation effects, which play a fundamental role in the regularity theory of three-dimensional Euler equations. For the wave maps equation, the main goal is to extend the "channel of energy" argument for outgoing waves to this technically challenging model to study the decoupling of radiation from solitons in a non-perturbative regime. These projects provide a wide range of problems for graduate students, who will learn to use tools from spectral analysis, Fourier analysis, dynamical systems, and numerical simulation, in the study of physically significant problems.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.4310/acta.2023.v230.n2.a2
发表时间: 2020-01
期刊: Acta Mathematica
影响因子: 3.7
作者: [A. Ionescu;H. Jia]
通讯作者: A. Ionescu;H. Jia
Linear Vortex Symmetrization: The Spectral Density Function
线性涡旋对称化:谱密度函数
DOI: 10.1007/s00205-022-01815-y
发表时间: 2022
期刊: Archive for Rational Mechanics and Analysis
影响因子: 2.5
作者: [Ionescu, Alexandru D., Jia, Hao]
通讯作者: Jia, Hao
On the Stability of Shear Flows in Bounded Channels, II: Non-monotonic Shear Flows
关于有界通道中剪切流的稳定性,II:非单调剪切流
DOI: 10.1007/s10013-023-00661-z
发表时间: 2023
期刊: Vietnam Journal of Mathematics
影响因子: 0.8
作者: [Ionescu, Alexandru D., Iyer, Sameer, Jia, Hao]
通讯作者: Jia, Hao
Uniform Linear Inviscid Damping and Enhanced Dissipation Near Monotonic Shear Flows in High Reynolds Number Regime (I): The Whole Space Case
高雷诺数状态下的均匀线性无粘阻尼和增强耗散近单调剪切流 (I):整个空间案例
DOI: 10.1007/s00021-023-00794-8
发表时间: 2023
期刊: Journal of Mathematical Fluid Mechanics
影响因子: 1.3
作者: [Jia, Hao]
通讯作者: Jia, Hao
Conference: Recent advances in nonlinear Partial Differential Equations
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
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