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On Halanay-type analysis of exponential stability for the θ-Maruyama method for stochastic delay differential equations

机译:关于随机延迟微分方程θ-maruyama方法指数稳定性的Halanay型分析

摘要

Using an approach that has its origins in work of Halanay, we consider stability in mean square of numerical solutions obtained from the θ-Maruyama discretization of a test stochastic delay differential equation dX(t) = {f(t) - αX(t) + βX(t - τ)}dt + {g(t) + η X(t) + μX(t - τ)} dW(t), interpreted in the Itô sense, where W(t) denotes a Wiener process. We focus on demonstrating that we may use techniques advanced in a recent report by Baker and Buckwar to obtain criteria for asymptotic and exponential stability, in mean square, for the solutions of the recurrence X̃n+1 - X̃n = θh{fn+1 - αX̃n+1 + βX̃n+1-N} + (1 - θ)h{fn - αX̃n + βX̃n-N} + √h(gn + ηX̃n + μX̃n-N}ξn, ξn ε N (0,1). © World Scientific Publishing Company.
机译:使用起源于Halanay的方法,我们考虑了从测试随机延迟微分方程dX(t)= {f(t)-αX(t)的θ-Maruyama离散化获得的数值解的均方稳定性。 +βX(t-τ)} dt + {g(t)+ηX(t)+μX(t-τ)} dW(t),用Itô解释,其中W(t)表示维纳过程。我们重点说明我们可以使用Baker和Buckwar的最新报告中先进的技术来获得递归X̃n + 1-X̃n =θh{fn + 1-αX̃n的解的渐近和指数稳定性标准(均方根) +1 + βX̃n + 1-N} +(1-θ)h {fn-αX̃n + βX̃n-N} +√h(gn + ηX̃n + μX̃n-N}ξn,ξnεN(0,1)。©世界科学出版公司。

著录项

  • 作者

    Baker C. T H; Buckwar Evelyn;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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