Averaging principle for distribution dependent stochastic differential equations driven by fractional Brownian motion and standard Brownian motion

被引:14
|
作者
Shen, Guangjun [1 ]
Xiang, Jie [1 ]
Wu, Jiang-Lun [2 ]
机构
[1] Anhui Normal Univ, Dept Math, Wuhu 241002, Peoples R China
[2] Swansea Univ, Dept Math, Computat Foundry, Swansea SA1 8EN, W Glam, Wales
基金
中国国家自然科学基金;
关键词
Distribution dependent stochastic differential equations; Fractional Brownian motion; Stochastic averaging principle; BISMUT FORMULA; SDES; UNIQUENESS; EXISTENCE;
D O I
10.1016/j.jde.2022.03.015
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we study distribution dependent stochastic differential equations driven simultaneously by fractional Brownian motion with Hurst index H > 21 and standard Brownian motion. We first establish the existence and uniqueness theorem for solutions of the distribution dependent stochastic differential equations by utilising the Caratheodory approximation. Then under certain averaging condition, we show that the solutions of distribution dependent stochastic differential equations can be approximated by the solutions of the associated averaged distribution dependent stochastic differential equations in the sense of the mean square convergence.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:381 / 414
页数:34
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