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机构地区:[1]Department of Mathematics,Heilongjiang Institute of Technology,Harbin 150050,China [2]Key Laboratory of Computing and Stochastic Mathematics(Ministry of Education),School of Mathematics and Statistics,Hunan Normal University,Changsha 410081,China
出 处:《Science China(Information Sciences)》2025年第1期252-274,共23页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China(Grant Nos.12271368,62173139);Natural Science Foundation of Hunan Province(Grant No.2023JJ30388);Science and Technology Innovation Program of Hunan Province(Grant No.2021RC4030);Natural Science Foundation of Heilongjiang Province(Grant No.LH2023A019);Foundation of Innovation Talent of Heilongjiang Institute of Technology(Grant Nos.2024GJ01,2023GJ10).
摘 要:This article focuses on a type of stochastic McKean-Vlasov equation in the G-framework(G-SMVE)and addresses the stability issue for delay stochastic McKean-Vlasov equations in the G-framework(G-SMVDEs).Distribution dependence and uncertainty prevent us from directly applying the stochastic analysis method for stochastic McKean-Vlasov equations(SMVEs)to G-SMVEs directly.To overcome this difficulty,we introduce definitions,including the derivative of a function with a law under the G-expectation and the Lions derivatives.Then we construct a new G-Itô formula for G-SMVEs according to the G-Itô formula for stochastic differential equations in the G-framework(G-SDEs)and the Itô formula for SMVEs.Using the new G-Itô formula and the Lyapunov functional method,we investigate the moment exponential stability and almost sure asymptotic stability of G-SMVDEs.To overcome the difficulty in obtaining the distribution dependence of the exact solution to the G-SMVDE,we introduce the empirical measure and the corresponding interacting particle system,and then prove the stability equivalence between the underlying G-SMVDE and the corresponding interacting particle system.Two examples are used to confirm our theoretical results.
关 键 词:delay stochastic McKean-Vlasov equations Wasserstein distance G-Brownian motion Lions derivative stability
分 类 号:O211.63[理学—概率论与数理统计]
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