Stochastic averaging principles for multi-valued stochastic differential equations driven by poisson point Processes

被引:16
作者
Guo, Rong [1 ]
Pei, Bin [2 ,3 ]
机构
[1] Taiyuan Univ Sci & Technol, Sch Appl Sci, Taiyuan, Shanxi, Peoples R China
[2] Xidian Univ, Sch Math & Stat, Xian 710071, Shaanxi, Peoples R China
[3] Northwestern Polytech Univ, Dept Appl Math, Xian 710072, Shaanxi, Peoples R China
关键词
Multi-valued stochastic differential equations; Averaging principles; Poisson point processes; Maximal monotone operator; FRACTIONAL BROWNIAN-MOTION; OPTIMAL DIVIDEND PROBLEM; STRONG-CONVERGENCE RATE; DIFFUSION RISK PROCESS; DYNAMICAL-SYSTEMS; EVOLUTION-EQUATIONS; LEVY NOISE; SKOROHOD PROBLEM; MILD SOLUTIONS; TIME-SCALES;
D O I
10.1080/07362994.2018.1461567
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The purpose of this article is to investigate an averaging principle for multi-valued stochastic differential equations (MSDEs) driven by Poisson point processes. The solutions to MSDEs driven by Poisson point processes can be approximated by solutions to averaged MSDEs in the sense of both convergence in mean square and convergence in probability. Finally, an example is presented to illustrate the averaging principle.
引用
收藏
页码:751 / 766
页数:16
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