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arXiv 1909.13699math.PRmath.OC
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连续系数McKean-Vlasov随机方程的逼近与通有性质

Approximation and generic properties of McKean-Vlasov stochastic equations with continuous coefficients

Mohamed Amine Mezerdi, Khaled Bahlali, Nabil Khelfallah, Brahim Mezerdi

摘要:

我们考虑由连续系数Mc Kean-Vlasov随机微分方程(MVSDES)驱动的系统的各种逼近性质,其中路径唯一性成立.我们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。而且,不需要用到著名的Yamada-Watanabe定理,通过有效的逼近方法就可以构造出唯一的强解.最后,我们证明了对应的MV函数具有唯一强解的有界一致连续系数集是Baire意义下的第二范畴集.

英文摘要:

We consider various approximation properties for systems driven by a Mc Kean-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 effective approximation procedures, without using the famous Yamada-Watanabe theorem. 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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