报告题目 (Title)： Strong Convergence of Neutral Stochastic Functional Differential Equations with Two Time-Scales（两个时间尺度的中立型随机泛函微分方程的强收敛性）
报告人 (Speaker)：袁成桂 教授（英国斯旺西大学Swansea University）
报告时间 (Time)：2024年10月17日 (周四) 14:00
报告地点 (Place)：腾讯会议：661-860-447 会议密码：123456
邀请人(Inviter)：阳芬芬
主办部门：理学院数学系
报告摘要：
This talk is to discuss the strong convergence of neutral stochastic
functional differential equations (NSFDEs) with two time-scales. The existence and uniqueness of invariant measure of the fast component is proved by using Wasserstein distance and the stability-in-distribution argument. The strong convergence between the slow component and the averaged component is also obtained by the the averaging principle in the spirit of Khasminskii's approach.
