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Wong-Zakai approximations and long term behavior of stochastic FitzHugh-Nagumo system

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摘要 This paper is concerned with the Wong-Zakai approximations given by a stationary pro­cess via the Wiener shift and their associated long term behavior of stochastic FitzHugh-Nagumo system driven by white noise.We prove the existence and uniqueness of pullback random attractors for the approximate system under much weaker conditions than the original system.When the system is driven by additive white noise,we also prove the convergence of solutions of Wong-Zakai approximations and the upper semicontinuity of random attractors of the approximate random system as the size of approximation approaches zero.
出处 《International Journal of Biomathematics》 SCIE 2021年第3期23-52,共30页 生物数学学报(英文版)
基金 supported by the National Natural Science Foundation of China(No.11871138) joint research project of Laurent Mathematics Center of Sichuan Normal University and National-Local Joint Engineering Laboratory of System Credibility Automatic Verification and the funding of V.C.&V.R.Key Lab of Sichuan Province.
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