Wong-Zakai approximations and long term behavior of stochastic FitzHugh-Nagumo system
作者机构:School of Mathematics Science Laurent Mathematics Center and V.C.&V.R.Key Lab Sichuan Normal UniversityChengdu 610066P.R.China
出 版 物:《International Journal of Biomathematics》 (生物数学学报(英文版))
年 卷 期:2021年第14卷第3期
页 面:23-52页
核心收录:
学科分类:07[理学] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 070101[理学-基础数学]
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
主 题:Wong-Zakai approximation random attractor FitzHugh-Nagumo system upper semicontinuity white noise
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 *** prove the existence and uniqueness of pullback random attractors for the approximate system under much weaker conditions than the original *** 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.