Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107149
Title: Delay-dependent stability analysis of numerical methods for stochastic delay differential equations
Authors: Huang, Chengming
Gan, Siqing
Wang, Desheng
Keywords: DRNTU::Science::Mathematics::Applied mathematics
Issue Date: 2012
Source: Huang, C., Gan, S., & Wang, D. (2012). Delay-dependent stability analysis of numerical methods for stochastic delay differential equations. Journal of computational and applied mathematics, 236(14), 3514-3527.
Series/Report no.: Journal of computational and applied mathematics
Abstract: This paper is concerned with the numerical solution of stochastic delay differential equations. The focus is on the delay-dependent stability of numerical methods for a linear scalar test equation with real coefficients. By using the so-called root locus technique, the full asymptotic stability region in mean square of stochastic theta methods is obtained, which is characterized by a sufficient and necessary condition in terms of the drift and diffusion coefficients as well as time stepsize and method parameter theta. Then, this condition is compared with the analytical stability condition. It is proved that the Backward Euler method completely preserves the asymptotic mean square stability of the underlying system and the Euler–Maruyama method preserves the instability of the system. Our investigation also shows that not all theta methods with θ≥0.5 preserve this delay-dependent stability. Some numerical examples are presented to confirm the theoretical results.
URI: https://hdl.handle.net/10356/107149
http://hdl.handle.net/10220/17698
ISSN: 0377-0427
DOI: 10.1016/j.cam.2012.03.003
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SPMS Journal Articles

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