具有非Lipschitz系数的McKean–Vlasov随机微分方程的稳定性和普遍性

IF 0.3 Q4 STATISTICS & PROBABILITY Random Operators and Stochastic Equations Pub Date : 2021-01-09 DOI:10.1515/rose-2021-2053
Mohamed Amine Mezerdi, N. Khelfallah
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引用次数: 1

摘要

摘要研究了连续系数McKean-Vlasov随机微分方程驱动的系统在路径唯一性下的各种近似性质。证明了这类方程的解对于初始条件、参数和驱动过程的小扰动是稳定的。此外,可以用有效的近似方法构造唯一强解。最后,我们证明了具有唯一强解的有界一致连续系数集是Baire意义上的第二类集。
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Stability and prevalence of McKean–Vlasov stochastic differential equations with non-Lipschitz coefficients
Abstract We consider various approximation properties for systems driven by a McKean–Vlasov stochastic differential equations (MVSDEs) with continuous coefficients, for which pathwise uniqueness holds. We prove that the solution of such equations is stable with respect to small perturbation of initial conditions, parameters and driving processes. Moreover, the unique strong solutions may be constructed by an effective approximation procedure. Finally, we show that the set of bounded uniformly continuous coefficients for which the corresponding MVSDE have a unique strong solution is a set of second category in the sense of Baire.
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来源期刊
Random Operators and Stochastic Equations
Random Operators and Stochastic Equations STATISTICS & PROBABILITY-
CiteScore
0.60
自引率
25.00%
发文量
24
期刊最新文献
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