Convergence and Stability of the Truncated Euler-Maruyama Method for Stochastic Differential Equations with Piecewise Continuous Arguments

被引:8
作者
Geng, Yidan [1 ]
Song, Minghui [1 ]
Lu, Yulan [2 ]
Liu, Mingzhu [1 ]
机构
[1] Harbin Inst Technol, Dept Math, Harbin 150001, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, Beijing 100190, Peoples R China
来源
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS | 2021年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Stochastic differential equations with piecewise continuous argument; local Lipschitz condition; Khasminskii-type condition; truncated Euler-Maruyama method; convergence and stability; TIME; SDES; STABILIZATION; RATES;
D O I
10.4208/nmtma.OA-2019-0108
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we develop the truncated Euler-Maruyama (EM) method for stochastic differential equations with piecewise continuous arguments (SDEPCAs), and consider the strong convergence theory under the local Lipschitz condition plus the Khasminskii-type condition. The order of convergence is obtained. Moreover, we show that the truncated EM method can preserve the exponential mean square stability of SDEPCAs. Numerical examples are provided to support our conclusions.
引用
收藏
页码:194 / 218
页数:25
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