Empirical Measures and Vlasov Hierarchies
Fran\c{c}ois Golse, Cl\'ement Mouhot, Valeria Ricci

TL;DR
This paper reviews the mean field limit for Vlasov equations with Lipschitz interactions, connecting empirical measures and BBGKY hierarchies, and provides stability estimates that reinforce the uniqueness of solutions.
Contribution
It offers a new stability estimate on the BBGKY hierarchy uniform in particle number, strengthening the understanding of mean field limits and chaos propagation.
Findings
Established a stability estimate on the BBGKY hierarchy independent of particle number.
Proved a Monge-Kantorovich distance stability estimate with exponent 1.
Enhanced the proof of propagation of chaos for a broad class of systems.
Abstract
The present note reviews some aspects of the mean field limit for Vlasov type equations with Lipschitz continuous interaction kernel. We discuss in particular the connection between the approach involving the N-particle empirical measure and the formulation based on the BBGKY hierarchy. This leads to a more direct proof of the quantitative estimates on the propagation of chaos obtained on a more general class of interacting systems in [S.Mischler, C. Mouhot, B. Wennberg, arXiv:1101.4727]. Our main result is a stability estimate on the BBGKY hierarchy uniform in the number of particles, which implies a stability estimate in the sense of the Monge-Kantorovich distance with exponent 1 on the infinite mean field hierarchy. This last result amplifies Spohn's uniqueness theorem [H. Spohn, Math. Meth. Appl. Sci. 3 (1981), 445-455].
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