慢速和快速扩散的非局部近似

IF 2.3 2区 数学 Q1 MATHEMATICS
Katy Craig, Matt Jacobs, Olga Turanova
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引用次数: 0

摘要

受最近确定性相互作用粒子系统对扩散方程的近似研究的启发,我们开发了一系列线性和非线性扩散方程的非局部近似,并证明了该方法在慢速、线性和快速扩散状态下的收敛性。该方法的一个关键部分是利用扩散方程的2-Wasserstein和对偶Sobolev梯度流结构来恢复表征非局域到局域极限压力的对偶关系的新技术。由于我们的方法能够处理一般类型的内部能量密度,我们的结果的副产品是一种新的粒子方法,用于对大范围的概率测量进行采样,它扩展了基于福克-普朗克方程的经典方法,超出了对数凹设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlocal approximation of slow and fast diffusion
Motivated by recent work on approximation of diffusion equations by deterministic interacting particle systems, we develop a nonlocal approximation for a range of linear and nonlinear diffusion equations and prove convergence of the method in the slow, linear, and fast diffusion regimes. A key ingredient of our approach is a novel technique for using the 2-Wasserstein and dual Sobolev gradient flow structures of the diffusion equations to recover the duality relation characterizing the pressure in the nonlocal-to-local limit. Due to the general class of internal energy densities that our method is able to handle, a byproduct of our result is a novel particle method for sampling a wide range of probability measures, which extends classical approaches based on the Fokker-Planck equation beyond the log-concave setting.
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来源期刊
CiteScore
4.40
自引率
8.30%
发文量
543
审稿时长
9 months
期刊介绍: The Journal of Differential Equations is concerned with the theory and the application of differential equations. The articles published are addressed not only to mathematicians but also to those engineers, physicists, and other scientists for whom differential equations are valuable research tools. Research Areas Include: • Mathematical control theory • Ordinary differential equations • Partial differential equations • Stochastic differential equations • Topological dynamics • Related topics
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