Homogenization of Elliptic and Parabolic Partial Differential Equations

椭圆和抛物型偏微分方程的齐次化

• 批准号: RGPIN-2018-06371
• 负责人: Lin, Jessica
• 金额: $ 1.53万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759041
• 关键词: Homogenization; Elliptic; Parabolic; Partial; Differential

The theory of stochastic homogenization identifies the average, macroscopic behavior of a phenomenon which is subject to microscopic, random effects. For example, one may be interested in determining the general properties of a porous material with randomly distributed impurities, or predicting the evolution of a population in a heterogeneous medium with random obstacles. Such phenomena are typically modeled by partial differential equations (PDEs) with random coefficients which depend on microscopic lengthscales describing the heterogeneities. The random coefficients take into account all possible realizations of a physical environment, and by imposing certain hypotheses, one may expect that asymptotically on average, almost all such solutions exhibit the same effective behavior. The main goal of this proposal is to further the general understanding of elliptic and parabolic PDEs through the rich source of problems based in stochastic homogenization. The study of homogenization offers contributions to both theoretical and applied mathematics: homogenization often exposes many interesting problems in the analysis of the relevant equations, and it can be directly used to model physical processes. I plan to focus my efforts on two main classes of elliptic and parabolic PDEs: (a) Nondivergence Form Equations, and (b) Reaction-Diffusion Equations. Such equations serve as the primary mathematical models in stochastic control theory, finance, and geometry and chemical kinetics, combustion, and biology respectively. The projects I am proposing are motivated by the following two objectives: (1) To broaden the class of PDEs for which homogenization takes place and (2) To obtain more specific information about the process of homogenization, such as error estimates and properties of the effective behavior. The study of homogenization combines tools from several different areas of mathematics, including analysis, PDEs, dynamical systems, and probability. I am committed to using collaborative approaches for the proposed research program; drawing inspiration and techniques from various subfields. This flexible perspective promotes a unified understanding of the physical phenomena, as well as enhancing the theory for both nondivergence form and reaction-diffusion equations. Furthermore, progress in this specific research program may influence developments in the above related areas of mathematics.Aside from the immediate applications to other subfields of mathematics, the study of multiscale problems has been a source of interest for specialists in several outside areas including materials science, chemical engineering, and biology. Consequently, this work contributes towards strengthening the relationship between the mathematical theory of PDEs and applications to other scientific disciplines.

随机均匀化理论确定了受微观随机效应影响的现象的平均宏观行为。例如，人们可能感兴趣的是确定具有随机分布杂质的多孔材料的一般性质，或预测具有随机障碍的非均质介质中种群的演化。这种现象通常是用带有随机系数的偏微分方程（PDEs）来模拟的，这些随机系数依赖于描述非均质性的微观长度尺度。随机系数考虑了物理环境的所有可能实现，通过施加某些假设，人们可以期望，在渐近的平均情况下，几乎所有这些解都表现出相同的有效行为。这一建议的主要目标是通过基于随机均匀化的丰富问题来源，进一步加深对椭圆型和抛物型偏微分方程的一般理解。均匀化的研究对理论和应用数学都有贡献：均匀化经常在相关方程的分析中暴露出许多有趣的问题，并且可以直接用于物理过程的建模。我计划把我的努力集中在两类主要的椭圆型和抛物型偏微分方程上：(a)非发散形式方程，(b)反应扩散方程。这些方程分别作为随机控制理论、金融、几何和化学动力学、燃烧和生物学的主要数学模型。我提出的项目有以下两个目标：(1)扩大发生均质化的偏微分方程的类别；(2)获得有关均质化过程的更具体信息，如误差估计和有效行为的性质。同质化的研究结合了几个不同数学领域的工具，包括分析、偏微分方程、动力系统和概率论。我承诺在拟议的研究项目中使用合作方法；从各个子领域汲取灵感和技术。这种灵活的观点促进了对物理现象的统一理解，并增强了非发散形式和反应扩散方程的理论。此外，这一特定研究计划的进展可能会影响上述相关数学领域的发展。除了直接应用于数学的其他子领域之外，多尺度问题的研究已经引起了包括材料科学、化学工程和生物学在内的几个外部领域的专家的兴趣。因此，这项工作有助于加强偏微分方程的数学理论与对其他科学学科的应用之间的关系。