Regularity and Critical Thresholds in Nonlinear Transport-Diffusion Equations

非线性传输扩散方程的规律性和临界阈值

• 批准号: 0707949
• 负责人: Eitan Tadmor
• 金额: $ 39.81万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0707949&HistoricalAwards=false
• 关键词: Regularity; Critical; Thresholds; Nonlinear; Transport

We will use modern mathematical tools complemented by novel computational simulations to examine the phenomena of regularizing effects, critical thresholds, time decay, entropy stability, and scaling. The project will address the following questions: (i) Transport-diffusion equations: How do diffusion and entropy dissipation dictate the regularizing effect in such equations? (ii) Eulerian dynamics: How does the competition between rotation and pressure forcing determine the overall stability? (iii) Chemotaxis and related bio-related transport-diffusion models: How should we interpret the solutions beyond their critical time? (iv) Hierarchical decompositions of images: How can the inverse scale space be adapted to the data for effective image processing? The principal investigator and his collaborators plan to pursue the development of new analytical and computational tools to explore transport-diffusion models, which are expected to contribute to understanding of the dynamics of realistic models in a variety of applications. The goal of this project is to study the persistence of global features in nonlinear transport-diffusion equations, which arise in a wide variety of applications. Examples include nonlinear conservation laws with degenerate diffusion, which model sedimentation, traffic flows, and data-driven applications in image processing; the ubiquitous Eulerian dynamics governing a range of phenomena from the small scale of semi-conductors through the largest scale of star formation; and chemotaxis models found in biological applications. We focus our attention on the unifying mathematical content of the underlying transport-diffusion equations. Of primary interest are problems with critical regularity properties that hinge on a borderline balance between the nonlinear convection mechanisms, the nonlinear diffusion processes, and the possibly nonlinear forcing driving such a system.

我们将使用现代数学工具，辅以新颖的计算模拟来研究正则化效应，临界阈值，时间衰减，熵稳定性和缩放的现象。 该项目将解决以下问题：（一）输运扩散方程：扩散和熵耗散如何决定这类方程的正则化效应？(ii)欧拉动力学：旋转和压力强迫之间的竞争如何决定整体稳定性？(iii)趋化性和相关的生物相关的运输扩散模型：我们应该如何解释的解决方案超出其临界时间？(iv)图像的分层分解：如何使逆尺度空间适应数据，以进行有效的图像处理？首席研究员和他的合作者计划继续开发新的分析和计算工具，以探索运输扩散模型，预计这将有助于了解各种应用中现实模型的动态。这个项目的目标是研究非线性输运-扩散方程的全局特征的持久性，这在各种各样的应用中出现。 例子包括退化扩散的非线性守恒律，其模型沉降，交通流量和图像处理中的数据驱动应用;无处不在的欧拉动力学，其控制着从小尺度的半导体到最大尺度的星星形成的一系列现象;以及在生物应用中发现的趋化性模型。 我们把我们的注意力集中在统一的数学内容的基本传输扩散方程。 主要感兴趣的是关键的规律性的问题，铰链之间的边界平衡的非线性对流机制，非线性扩散过程，并可能非线性强迫驱动这样一个系统。