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 …
This is the first comprehensive introduction to the theory of mass transportation with its many— and sometimes unexpected—applications. In a novel approach to the subject, the book both …
At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G …
C Villani - Handbook of mathematical fluid dynamics, 2002 - books.google.com
The goal of this review paper is to provide the reader with a concise introduction to the mathematical theory of collision processes in (dilute) gases and plasmas, viewed as a …
PE Jabin, Z Wang - Inventiones mathematicae, 2018 - Springer
We derive quantitative estimates proving the propagation of chaos for large stochastic systems of interacting particles. We obtain explicit bounds on the relative entropy between …
D Lacker - Probability and Mathematical Physics, 2023 - msp.org
This paper develops a nonasymptotic, local approach to quantitative propagation of chaos for a wide class of mean field diffusive dynamics. For a system of n interacting particles, the …
JA Carrillo, RJ McCann, C Villani - Revista Matematica Iberoamericana, 2003 - ems.press
The long-time asymptotics of certain nonlinear, nonlocal, diffusive equations with a gradient flow structure are analyzed. In particular, a result of Benedetto, Caglioti, Carrillo and …
D Lacker, L Le Flem - Probability Theory and Related Fields, 2023 - Springer
We prove the optimal rate of quantitative propagation of chaos, uniformly in time, for interacting diffusions. Our main examples are interactions governed by convex potentials …
PE Jabin, Z Wang - Active Particles, Volume 1: Advances in Theory …, 2017 - Springer
We review some classical and more recent results for the derivation of mean field equations from systems of many particles, focusing on the stochastic case where a large system of …