A λ-convexity based proof for the propagation of chaos for weakly interacting stochastic particles

被引:9
作者
Carrillo, J. A. [1 ]
Delgadino, M. G. [2 ]
Pavliotis, G. A. [3 ]
机构
[1] Univ Oxford, Math Inst, Oxford OX2 6GG, England
[2] Pontifical Catholic Univ Rio de Janeiro, Dept Math, BR-22451900 Rio De Janeiro, RJ, Brazil
[3] Imperial Coll London, Dept Math, London SW7 2AZ, England
基金
欧洲研究理事会; 英国工程与自然科学研究理事会;
关键词
Gradient flows; Propagation of chaos; Gamma-convergence; STATISTICAL-MECHANICS; GRADIENT FLOWS; METRIC-SPACES; CONVERGENCE; EQUILIBRIUM;
D O I
10.1016/j.jfa.2020.108734
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this work we give a proof of the mean-field limit for lambda-convex potentials using a purely variational viewpoint. Our approach is based on the observation that all evolution equations that we study can be written as gradient flows of functionals at different levels: in the set of probability measures, in the set of symmetric probability measures on N variables, and in the set of probability measures on probability measures. This basic fact allows us to rely on Gamma-convergence tools for gradient flows to complete the proof by identifying the limits of the different terms in the Evolutionary Variational Inequalities (EVIs) associated to each gradient flow. The lambda-convexity of the confining and interaction potentials is crucial for the unique identification of the limits and for deriving the EVIs at each description level of the interacting particle system. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:30
相关论文
共 26 条
  • [1] A User's Guide to Optimal Transport
    Ambrosio, Luigi
    Gigli, Nicola
    [J]. MODELLING AND OPTIMISATION OF FLOWS ON NETWORKS, CETRARO, ITALY 2009, 2013, 2062 : 1 - 155
  • [2] Ambrosio L, 2008, LECT MATH, P1
  • [3] [Anonymous], 2014, LOND MATH S
  • [4] STOCHASTIC MEAN-FIELD LIMIT: NON-LIPSCHITZ FORCES AND SWARMING
    Bolley, Francois
    Canizo, Jose A.
    Carrillo, Jose A.
    [J]. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2011, 21 (11) : 2179 - 2210
  • [5] TREND TO EQUILIBRIUM AND PARTICLE APPROXIMATION FOR A WEAKLY SELFCONSISTENT VLASOV-FOKKER-PLANCK EQUATION
    Bolley, Francois
    Guillin, Arnaud
    Malrieu, Florent
    [J]. ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2010, 44 (05): : 867 - 884
  • [6] Daneri S., 2010, ARXIV10093737
  • [8] DIACONIS P, 1980, ANN PROBAB, V8, P745, DOI 10.1214/aop/1176994663
  • [9] Durmus A., 2018, ELEMENTARY APPROACH
  • [10] Propagation of chaos for a subcritical Keller-Segel model
    Godinho, David
    Quininao, Cristobal
    [J]. ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 2015, 51 (03): : 965 - 992