The strong convergence and stability of explicit approximations for nonlinear stochastic delay differential equations

被引:0
|
作者
Guoting Song
Junhao Hu
Shuaibin Gao
Xiaoyue Li
机构
[1] Northeast Normal University,School of Mathematics and Statistics
[2] South-Central University for Nationalities,School of Mathematics and Statistics
来源
Numerical Algorithms | 2022年 / 89卷
关键词
Stochastic delay differential equations; Explicit truncated Euler-Maruyama scheme; Moment bound; Strong convergence; Stability;
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摘要
This paper focuses on explicit approximations for nonlinear stochastic delay differential equations (SDDEs). Under less restrictive conditions, the truncated Euler-Maruyama (TEM) schemes for SDDEs are proposed, which numerical solutions are bounded in the q th moment for q ≥ 2 and converge to the exact solutions strongly in any finite interval. The 1/2 order convergence rate is yielded. Furthermore, the long-time asymptotic behaviors of numerical solutions, such as stability in mean square and ℙ−1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\mathbb {P}-1$\end{document}, are examined. Several numerical experiments are carried out to illustrate our results.
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页码:855 / 883
页数:28
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