Tagged particles and size-biased dynamics in mean-field interacting particle systems

Fuente: arXiv
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Main Authors: Koutsimpela, Angeliki, Grosskinsky, Stefan
Format: Preprint
Published: 2024
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author Koutsimpela, Angeliki
Grosskinsky, Stefan
author_facet Koutsimpela, Angeliki
Grosskinsky, Stefan
contents We establish a connection between tagged particles and size-biased empirical processes in interacting particle systems, in analogy to classical results on the propagation of chaos. In a mean-field scaling limit, the evolution of the occupation number on the tagged particle site converges to a time-inhomogeneous Markov process with non-linear master equation given by the law of large numbers of size-biased empirical measures. The latter are important in recent efforts to understand the dynamics of condensation in interacting particle systems.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18179
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tagged particles and size-biased dynamics in mean-field interacting particle systems
Koutsimpela, Angeliki
Grosskinsky, Stefan
Probability
Statistical Mechanics
We establish a connection between tagged particles and size-biased empirical processes in interacting particle systems, in analogy to classical results on the propagation of chaos. In a mean-field scaling limit, the evolution of the occupation number on the tagged particle site converges to a time-inhomogeneous Markov process with non-linear master equation given by the law of large numbers of size-biased empirical measures. The latter are important in recent efforts to understand the dynamics of condensation in interacting particle systems.
title Tagged particles and size-biased dynamics in mean-field interacting particle systems
topic Probability
Statistical Mechanics
url https://arxiv.org/abs/2403.18179