Propagation of chaos: A review of models, methods and applications. Ⅱ. Applications

IF 1 4区 数学 Q1 MATHEMATICS
L. Chaintron, A. Diez
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引用次数: 55

Abstract

The notion of propagation of chaos for large systems of interacting particles originates in statistical physics and has recently become a central notion in many areas of applied mathematics. The present review describes old and new methods as well as several important results in the field. The models considered include the McKean-Vlasov diffusion, the mean-field jump models and the Boltzmann models. The first part of this review is an introduction to modelling aspects of stochastic particle systems and to the notion of propagation of chaos. The second part presents concrete applications and a more detailed study of some of the important models in the field.
混沌的传播:模型、方法和应用综述。Ⅱ。应用程序
相互作用粒子的大系统的混沌传播的概念起源于统计物理学,最近已成为应用数学许多领域的中心概念。本文介绍了该领域的一些新、旧方法和重要成果。所考虑的模型包括McKean-Vlasov扩散、平均场跳跃模型和Boltzmann模型。本综述的第一部分是介绍随机粒子系统的建模方面和混沌传播的概念。第二部分介绍了该领域的一些重要模型的具体应用和更详细的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.10
自引率
10.00%
发文量
36
审稿时长
>12 weeks
期刊介绍: KRM publishes high quality papers of original research in the areas of kinetic equations spanning from mathematical theory to numerical analysis, simulations and modelling. It includes studies on models arising from physics, engineering, finance, biology, human and social sciences, together with their related fields such as fluid models, interacting particle systems and quantum systems. A more detailed indication of its scope is given by the subject interests of the members of the Board of Editors. Invited expository articles are also published from time to time.
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