Uniform-in-time propagation of chaos for the Cucker–Smale model

This paper presents an elementary proof of quantitative uniform-in-time propagation of chaos for the Cucker–Smale model under sufficiently strong interaction. The idea is to combine existing finite-time propagation of chaos estimates with existing uniform-in-time stability estimates for the interacting particle system, in order to obtain a uniform-in-time propagation of chaos estimate with an explicit rate of convergence in the number of particles. This is achieved via a method that is similar in spirit to the classical 'stability + consistency implies convergence' approach in numerical analysis.

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Publication Details

Journal
Kinetic and Related Models
Published
2025-10-17
DOI
https://doi.org/10.3934/krm.2025021
Citations
1
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
1.49

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article

Uniform-in-time propagation of chaos for the Cucker–Smale model

Urbain Vaes, Nicolai Jurek Gerber
1 citations
Kinetic and Related Models
Nonlinear Dynamics and Pattern Formation
1.49
article

Uniform-in-time propagation of chaos for the Cucker–Smale model

Urbain Vaes, Nicolai Jurek Gerber
article en
1 citations

Abstract

This paper presents an elementary proof of quantitative uniform-in-time propagation of chaos for the Cucker–Smale model under sufficiently strong interaction. The idea is to combine existing finite-time propagation of chaos estimates with existing uniform-in-time stability estimates for the interacting particle system, in order to obtain a uniform-in-time propagation of chaos estimate with an explicit rate of convergence in the number of particles. This is achieved via a method that is similar in spirit to the classical 'stability + consistency implies convergence' approach in numerical analysis.

Kinetic and Related ModelsVol. 20(0)
Institut national de recherche en sciences et technologies du numérique (FR), Universität Ulm (DE), CERMICS (FR), Helmholtz-Institute Ulm (DE)
European Commission, Agence Nationale de la Recherche
Reduced inequalities
Openalex Percentile: Top 20%
Nonlinear Dynamics and Pattern Formation
1.49
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