Asymptotic Stability in Distribution of Highly Nonlinear Stochastic Differential Equations with G-Brownian Motion

被引:3
作者
Fei, Chen [1 ]
Fei, Weiyin [2 ]
Deng, Shounian [2 ]
Mao, Xuerong [3 ]
机构
[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai 200093, Peoples R China
[2] Anhui Polytech Univ, Sch Math Phys & Finance, Wuhu 241000, Peoples R China
[3] Univ Strathclyde, Dept Math & Stat, Glasgow G1 1XH, Scotland
基金
中国国家自然科学基金;
关键词
G-HNSDEs; Sublinear expectation; Stability in distribution; Chebyshev inequality; G-Ito formula; DELAY EQUATIONS; SUFFICIENT CONDITIONS; NEURAL-NETWORKS; DRIVEN; STABILIZATION; MOMENT;
D O I
10.1007/s12346-023-00760-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Following the analysis on the stability in distribution of stochastic differential equations discussed in Fei et al. (Appl Math Lett 136:108448, 2023), this article further investigates the stability in distribution of highly nonlinear stochastic differential equations driven by G-Brownian motion (G-HNSDEs). To this end, by employing the theory on sublinear expectations, the stability in distribution of G-HNSDEs is analysed. Moreover, a sufficient criterion of the stability in distribution of G-HNSDEs is provided for convenient use.
引用
收藏
页数:16
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