Theta schemes for SDDEs with non-globally Lipschitz continuous coefficients

被引:35
作者
Zong, Xiaofeng [1 ]
Wu, Fuke [2 ]
Huang, Chengming [2 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Stochastic differential delay equation (SDDE); Split-step theta scheme; Stochastic linear theta scheme; Strong convergence rate; Exponential mean square stability; STOCHASTIC DIFFERENTIAL-EQUATIONS; STRONG-CONVERGENCE RATES; BACKWARD EULER METHOD; DELAY EQUATIONS; NUMERICAL-SOLUTIONS; MILSTEIN SCHEME; MARUYAMA METHOD; STABILITY; APPROXIMATIONS; SYSTEM;
D O I
10.1016/j.cam.2014.10.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper establishes the boundedness, convergence and stability of the two classes of theta schemes, namely split-step theta (SST) scheme and stochastic linear theta (SLT) scheme, for stochastic differential delay equations (SDDEs) with non-globally Lipschitz continuous coefficients. When the drift f (x, y) satisfies one-sided Lipschitz condition with respect to the present state x and the diffusion g(x, y) obeys the global Lipschitz condition with respect to the present term x, but the delay terms y in the drift and diffusion may be highly nonlinear, this paper first examines the strong convergence rates of the theta schemes for SDDEs. It is also proved that the two classes of theta schemes for theta is an element of (1/2, 1] converge strongly to the exact solution with the order 1/2 but for theta is an element of [0, 1/2] the linear growth condition on drift f (x, y) in x is needed for the strong convergence rates. The exponential mean square stability of the theta schemes with theta is an element of(1/2, 1] is also investigated for highly nonlinear SDDEs. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:258 / 277
页数:20
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