中立型随机比例微分方程的数值解的指数稳定性(英文)
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  • 英文篇名:Exponential Stability of Numerical Solutions for Neutral Stochastic Pantograph Differential Equations
  • 作者:程生敏 ; 石班班
  • 英文作者:CHENG Shengmin;SHI Banban;Basic Teaching Department,Zhengzhou University of Industrial Technology;School of Mathematics and Statistics,Huazhong University of Science and Technology;
  • 关键词:中立型随机比例微分方程 ; 数值稳定性 ; 几乎处处指数稳定性 ; 反向的欧拉方法
  • 英文关键词:Neutral stochastic pantograph equation;;Numerical stability;;Almost surely exponential stability;;The backward EM method
  • 中文刊名:YISU
  • 英文刊名:Mathematica Applicata
  • 机构:郑州工业应用技术学院基础教学部;华中科技大学数学与统计学院;
  • 出版日期:2019-03-25 15:28
  • 出版单位:应用数学
  • 年:2019
  • 期:v.32;No.133
  • 基金:Supported by the National Natural Science Foundation of China(11301198);; Fundamental Research Funds for the Central Universities(2011QN167)
  • 语种:英文;
  • 页:YISU201902021
  • 页数:11
  • CN:02
  • ISSN:42-1184/O1
  • 分类号:186-196
摘要
本文主要利用半鞅收敛定理,研究中立型随机比例微分方程的数值稳定性.该文建立了线性的和非线性的中立型随机比例微分方程新的细则,我们将证明,在线性增长条件下,欧拉方法可以保留中立型随机比例微分方程的几乎处处指数稳定性,并且反向的欧拉方法能保留非线性的中立型随机比例微分方程的几乎处处指数稳定性.
        This paper mainly studies the numerical stability of neutral stochastic pantograph differential equations(NSPDEs), with semimartingale convergence theorem.This paper establishes the new rules of linear and nonlinear NSPDEs. We will prove that under linear growth conditions, the Euler-Maruyama(EM) method can retain almost surely exponential stability of the NSPDEs, and the backward EM method can retain almost surely exponential stability for the nonlinear NSPDEs.
引文
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