Nonlinear Graphon mean-field systems

Fuente: arXiv
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Main Authors: Coppini, Fabio, De Crescenzo, Anna, Pham, Huyen
Format: Preprint
Published: 2024
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author Coppini, Fabio
De Crescenzo, Anna
Pham, Huyen
author_facet Coppini, Fabio
De Crescenzo, Anna
Pham, Huyen
contents We address a system of weakly interacting particles where the heterogenous connections among the particles are described by a graph sequence and the number of particles grows to infinity. Our results extend the existing law of large numbers and propagation of chaos results to the case where the interaction between one particle and its neighbors is expressed as a nonlinear function of the local empirical measure. In the limit of the number of particles which tends to infinity, if the graph sequence converges to a graphon, then we show that the limit system is described by an infinite collection of processes and can be seen as a process in a suitable $L^2$ space constructed via a Fubini extension. The proof is built on decoupling techniques and careful estimates of the Wasserstein distance.
format Preprint
id arxiv_https___arxiv_org_abs_2402_08628
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Nonlinear Graphon mean-field systems
Coppini, Fabio
De Crescenzo, Anna
Pham, Huyen
Probability
We address a system of weakly interacting particles where the heterogenous connections among the particles are described by a graph sequence and the number of particles grows to infinity. Our results extend the existing law of large numbers and propagation of chaos results to the case where the interaction between one particle and its neighbors is expressed as a nonlinear function of the local empirical measure. In the limit of the number of particles which tends to infinity, if the graph sequence converges to a graphon, then we show that the limit system is described by an infinite collection of processes and can be seen as a process in a suitable $L^2$ space constructed via a Fubini extension. The proof is built on decoupling techniques and careful estimates of the Wasserstein distance.
title Nonlinear Graphon mean-field systems
topic Probability
url https://arxiv.org/abs/2402.08628