Entropic Chaos of Mixed Mean-Field Jump Processes

Fuente: arXiv
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Main Authors: Lim, Tau Shean, Zhang, Shuoning
Format: Preprint
Published: 2025
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_version_ 1866914173704732672
author Lim, Tau Shean
Zhang, Shuoning
author_facet Lim, Tau Shean
Zhang, Shuoning
contents This paper studies a class of mixed mean-field jump processes on an abstract state space $Π$, together with their associated $N$-particle systems. The dynamics consist of the superposition of an independent Markovian component and a bounded mean-field jump interaction; in particular, piecewise deterministic Markov processes (PDMPs) with mean-field interactions are covered by this framework. Under a second-order bounded difference condition on the mean-field jump kernel, we establish entropic propagation of chaos as $N \to \infty$. In particular, we obtain an explicit qualitative bound on the relative entropy between the law of the $N$-particle system and the product measure induced by the mean-field limit. The proof relies on the second-order concentration inequality introduced in Götze and Sambale, 2020.
format Preprint
id arxiv_https___arxiv_org_abs_2511_22926
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Entropic Chaos of Mixed Mean-Field Jump Processes
Lim, Tau Shean
Zhang, Shuoning
Analysis of PDEs
Probability
60K35, 82C22
G.3
This paper studies a class of mixed mean-field jump processes on an abstract state space $Π$, together with their associated $N$-particle systems. The dynamics consist of the superposition of an independent Markovian component and a bounded mean-field jump interaction; in particular, piecewise deterministic Markov processes (PDMPs) with mean-field interactions are covered by this framework. Under a second-order bounded difference condition on the mean-field jump kernel, we establish entropic propagation of chaos as $N \to \infty$. In particular, we obtain an explicit qualitative bound on the relative entropy between the law of the $N$-particle system and the product measure induced by the mean-field limit. The proof relies on the second-order concentration inequality introduced in Götze and Sambale, 2020.
title Entropic Chaos of Mixed Mean-Field Jump Processes
topic Analysis of PDEs
Probability
60K35, 82C22
G.3
url https://arxiv.org/abs/2511.22926