Asymptotic behaviors of multiscale McKean-Vlasov stochastic systems

Fuente: arXiv
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Hauptverfasser: Xiang, Jie, Qiao, Huijie
Format: Preprint
Veröffentlicht: 2025
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author Xiang, Jie
Qiao, Huijie
author_facet Xiang, Jie
Qiao, Huijie
contents In this paper, we investigate a class of multiscale McKean-Vlasov stochastic systems, where the entire system depends on the distributions of both fast and slow components. First of all, by applying the Poisson equation method, we prove that the slow component converges to the solution of the averaging equation in the $L^p$ ($p\geq 2$) space with the optimal convergence order $\frac12$. Then we establish a central limit theorem for these systems and derive the weak convergence rate using the Poisson equation technique and the regularity properties of the associated Cauchy problem.
format Preprint
id arxiv_https___arxiv_org_abs_2505_14740
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic behaviors of multiscale McKean-Vlasov stochastic systems
Xiang, Jie
Qiao, Huijie
Probability
60H10
In this paper, we investigate a class of multiscale McKean-Vlasov stochastic systems, where the entire system depends on the distributions of both fast and slow components. First of all, by applying the Poisson equation method, we prove that the slow component converges to the solution of the averaging equation in the $L^p$ ($p\geq 2$) space with the optimal convergence order $\frac12$. Then we establish a central limit theorem for these systems and derive the weak convergence rate using the Poisson equation technique and the regularity properties of the associated Cauchy problem.
title Asymptotic behaviors of multiscale McKean-Vlasov stochastic systems
topic Probability
60H10
url https://arxiv.org/abs/2505.14740