Error Estimation in the Mean-Field Limit of Kinetic Flocking Models with Local Alignments

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Wang, Jinhuan, Li, Keyu, Huang, Hui
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914764044632064
author Wang, Jinhuan
Li, Keyu
Huang, Hui
author_facet Wang, Jinhuan
Li, Keyu
Huang, Hui
contents In this paper, we present an innovative particle system characterized by moderate interactions, designed to accurately approximate kinetic flocking models that incorporate singular interaction forces and local alignment mechanisms. We establish the existence of weak solutions to the corresponding flocking equations and provide an error estimate for the mean-field limit. This is achieved through the regularization of singular forces and a nonlocal approximation strategy for local alignments. We show that, by selecting the regularization and localization parameters logarithmically with respect to the number of particles, the particle system effectively approximates the mean-field equation.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13644
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Error Estimation in the Mean-Field Limit of Kinetic Flocking Models with Local Alignments
Wang, Jinhuan
Li, Keyu
Huang, Hui
Analysis of PDEs
Mathematical Physics
Dynamical Systems
Probability
In this paper, we present an innovative particle system characterized by moderate interactions, designed to accurately approximate kinetic flocking models that incorporate singular interaction forces and local alignment mechanisms. We establish the existence of weak solutions to the corresponding flocking equations and provide an error estimate for the mean-field limit. This is achieved through the regularization of singular forces and a nonlocal approximation strategy for local alignments. We show that, by selecting the regularization and localization parameters logarithmically with respect to the number of particles, the particle system effectively approximates the mean-field equation.
title Error Estimation in the Mean-Field Limit of Kinetic Flocking Models with Local Alignments
topic Analysis of PDEs
Mathematical Physics
Dynamical Systems
Probability
url https://arxiv.org/abs/2404.13644