Mean-Field Limits in Statistical Dynamics
Abstract
These lectures notes are aimed at introducing the reader to some recent mathematical tools and results for the mean-field limit in statistical dynamics. As a warm-up, lecture 1 reviews the approach to the mean-field limit in classical mechanics following the ideas of W. Braun, K. Hepp and R.L. Dobrushin, based on the notions of phase space empirical measures, Klimontovich solutions and Monge-Kantorovich-Wasserstein distances between probability measures. Lecture 2 discusses an analogue of the notion of Klimontovich solution in quantum dynamics, and explains how this notion appears in Pickl's method to handle the case of interaction potentials with a Coulomb type singularity at the origin. Finally, lecture 3 explains how the mean-field and the classical limits can be taken jointly on quantum -particle dynamics, leading to the Vlasov equation. These lectures are based on a series of joint works with C. Mouhot and T. Paul.
Keywords
Cite
@article{arxiv.2201.02005,
title = {Mean-Field Limits in Statistical Dynamics},
author = {François Golse},
journal= {arXiv preprint arXiv:2201.02005},
year = {2022}
}
Comments
46 pages. Lecture notes of a course given at the CIRM (Centre International de Recherche Math\'ematique), Luminy (France), during the Research School "Scaling Limits from Microscopic to Macroscopic Physics", January 18th-22nd 2021, organized by the Jean-Morlet Chair, with Shi Jin (chair) and Mihai Bostan (local project leader)