Quantitative convergence guarantees for the mean-field dispersion process

Fuente: arXiv
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Main Authors: Cao, Fei, Yang, Jincheng
Format: Preprint
Published: 2024
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_version_ 1866914000104587264
author Cao, Fei
Yang, Jincheng
author_facet Cao, Fei
Yang, Jincheng
contents We study the discrete Fokker-Planck equation associated with the mean-field dynamics of a particle system called the dispersion process. For different regimes of the average number of particles per site (denoted by $μ> 0$), we establish various quantitative long-time convergence guarantees toward the global equilibrium (depending on the sign of $μ- 1$), which is also confirmed by numerical simulations. The main novelty/contribution of this manuscript lies in the careful and tricky analysis of a nonlinear Volterra-type integral equation satisfied by a key auxiliary function.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05043
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative convergence guarantees for the mean-field dispersion process
Cao, Fei
Yang, Jincheng
Probability
Classical Analysis and ODEs
82C22, 82C31, 35Q91, 91B80
We study the discrete Fokker-Planck equation associated with the mean-field dynamics of a particle system called the dispersion process. For different regimes of the average number of particles per site (denoted by $μ> 0$), we establish various quantitative long-time convergence guarantees toward the global equilibrium (depending on the sign of $μ- 1$), which is also confirmed by numerical simulations. The main novelty/contribution of this manuscript lies in the careful and tricky analysis of a nonlinear Volterra-type integral equation satisfied by a key auxiliary function.
title Quantitative convergence guarantees for the mean-field dispersion process
topic Probability
Classical Analysis and ODEs
82C22, 82C31, 35Q91, 91B80
url https://arxiv.org/abs/2406.05043