{"title":"Conditional McKean–Vlasov stochastic differential equations driven by fractional Brownian motions","authors":"Guangjun Shen, Jiangpeng Wang","doi":"10.1016/j.chaos.2025.116348","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we are concerned with a class of McKean–Vlasov stochastic differential equations with Markovian regime-switching driven by fractional Brownian motions with Hurst parameter <span><math><mrow><mi>H</mi><mo>></mo><mfrac><mrow><mn>1</mn></mrow><mrow><mn>2</mn></mrow></mfrac></mrow></math></span>. We first obtain the existence and uniqueness theorem for solutions of the concerned equations under the non-Lipschitz conditions. Second, we establish the propagation of chaos for the associated mean-field interaction particle systems with common noise and provide an explicit bound on the convergence rate. At last, an averaging principle is investigated with respect to two time-scale conditional McKean–Vlasov stochastic differential equations.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"196 ","pages":"Article 116348"},"PeriodicalIF":5.3000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925003613","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we are concerned with a class of McKean–Vlasov stochastic differential equations with Markovian regime-switching driven by fractional Brownian motions with Hurst parameter . We first obtain the existence and uniqueness theorem for solutions of the concerned equations under the non-Lipschitz conditions. Second, we establish the propagation of chaos for the associated mean-field interaction particle systems with common noise and provide an explicit bound on the convergence rate. At last, an averaging principle is investigated with respect to two time-scale conditional McKean–Vlasov stochastic differential equations.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.