Mean-Field Limit of a Microscopic Individual-Based Model Describing Collective Motions

被引:3
作者
Bianca, Carlo [1 ,2 ]
Dogbe, Christian [3 ]
机构
[1] Univ Paris 06, CNRS, Lab Phys Theor Mat Condensee, UMR 7600, F-75252 Paris 05, France
[2] Univ Paris 06, Sorbonne Univ, UMR 7600, F-75252 Paris 05, France
[3] Univ Caen Basse Normandie, LMNO CNRS, Dept Math, UMR 6139, F-14032 Caen, France
关键词
Collective motion; interacting stochastic particle systems; weak solutions; uniqueness; 82C22; 35Q35; 60K35; 35Q83; 35A05; FLUCTUATIONS; EQUATIONS;
D O I
10.1080/14029251.2015.996444
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is mainly concerned with a mean-field limit and long time behavior of stochastic microscopic interacting particles systems. Specifically we prove that a class of ODE modeling collective interactions in animals or pedestrians converges in the mean-field limit to the solution of a non-local kinetic PDE. The mathematical analysis, performed by weak measure solutions arguments, shows the existence of measure-valued solutions, asymptotic stability and chaos propagation that are relevant properties in the description of collective behaviors that emerge in animals and pedestrians motions.
引用
收藏
页码:117 / 143
页数:27
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