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20232026
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math.PR2025

Large-scale concentration and relaxation for mean-field Langevin particle systems

Songbo Wang

We study the Langevin dynamics of diffusive particles with regular pairwise interactions under mean-field scaling. By approximating empirical distributions with conditional distrib…

math.PR2024

Size of chaos for Gibbs measures of mean field interacting diffusions

Zhenjie Ren, Songbo Wang

We investigate Gibbs measures for diffusive particles interacting through a two-body mean field energy. By identifying a gradient structure for the conditional law, we derive sharp…

math.PR2024

Uniform log-Sobolev inequalities for mean field particles with flat-convex energy

Songbo Wang

The purpose of this short note is to demonstrate uniform logarithmic Sobolev inequalities for the mean field gradient particle systems associated to an energy functional that is co…

math.PR2024

Sharp local propagation of chaos for mean field particles with kernels

Songbo Wang

We present two methods to obtain local propagation of chaos bounds for diffusive particles in mean field interaction. This extends the recent finding…

math.PR2024

Time-uniform log-Sobolev inequalities and applications to propagation of chaos

Pierre Monmarché, Zhenjie Ren, Songbo Wang

Time-uniform log-Sobolev inequalities (LSI) satisfied by solutions of semi-linear mean-field equations have recently appeared to be a key tool to obtain time-uniform propagation of…

math.PR2023

Self-interacting approximation to McKean-Vlasov long-time limit: a Markov chain Monte Carlo method

Kai Du, Zhenjie Ren, Florin Suciu +1

For a certain class of McKean-Vlasov processes, we introduce proxy processes that substitute the mean-field interaction with self-interaction, employing a weighted occupation measu…