Quantitative uniform in time chaos propagation for Boltzmann collision processes

TL;DR

This paper establishes uniform-in-time chaos propagation for Boltzmann collision processes with unbounded collision rates, providing new quantitative results and applications to long-time behavior and limit theorems.

Contribution

It proves the first uniform-in-time chaos propagation results for the Boltzmann equation with true Maxwell molecules and hard spheres, using a novel functional estimate approach.

Findings

First chaos propagation result for true Maxwell molecules without cut-off.

Quantitative chaos propagation for hard spheres.

New proof of Gaussian limit for high-dimensional sphere measures.

Abstract

This paper is devoted to the study of mean-field limit for systems of indistinguables particles undergoing collision processes. As formulated by Kac \cite{Kac1956} this limit is based on the {\em chaos propagation}, and we (1) prove and quantify this property for Boltzmann collision processes with unbounded collision rates (hard spheres or long-range interactions), (2) prove and quantify this property \emph{uniformly in time}. This yields the first chaos propagation result for the spatially homogeneous Boltzmann equation for true (without cut-off) Maxwell molecules whose "Master equation" shares similarities with the one of a L\'evy process and the first {\em quantitative} chaos propagation result for the spatially homogeneous Boltzmann equation for hard spheres (improvement of the %non-contructive convergence result of Sznitman \cite{S1}). Moreover our chaos propagation results are the first uniform in time ones for Boltzmann collision processes (to our knowledge), which partly answers the important question raised by Kac of relating the long-time behavior of a particle system with the one of its mean-field limit, and we provide as a surprising application a new proof of the well-known result of gaussian limit of rescaled marginals of uniform measure on the $N$-dimensional sphere as $N$ goes to infinity (more applications will be provided in a forthcoming work). Our results are based on a new method which reduces the question of chaos propagation to the one of proving a purely functional estimate on some generator operators ({\em consistency estimate}) together with fine stability estimates on the flow of the limiting non-linear equation ({\em stability estimates}).