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Discretization of Stationary Solutions of Stochastic Systems Driven by Fractional Brownian Motion
Authors:María J Garrido-Atienza  Peter E Kloeden  Andreas Neuenkirch
Institution:1.Dpto. de Ecuaciones Diferenciales y Análisis Numérico,Universidad de Sevilla, Apdo. de Correos 1160,Sevilla,Spain;2.Institut für Mathematik,Johann Wolfgang Goethe-Universit?t,Frankfurt am Main,Germany
Abstract:In this article we study the behavior of dissipative systems with additive fractional noise of any Hurst parameter. Under a one-sided dissipative Lipschitz condition on the drift the continuous stochastic system is shown to have a unique stationary solution, which pathwise attracts all other solutions. The same holds for the discretized stochastic system, if the drift-implicit Euler method is used for the discretization. Moreover, the unique stationary solution of the drift-implicit Euler scheme converges to the unique stationary solution of the original system as the stepsize of the discretization decreases. Partially supported by the DAAD, Ministerio de Educación y Ciencia (Spain) and FEDER (European Community) under grants MTM2005-01412 and HA2005-0082, by Junta de Andalucía under the Proyecto de Excelencia P07-FQM-02468, and the DFG-project “Pathwise numerics and dynamics of stochastic evolution equations”.
Keywords:Fractional Brownian motion  Random dynamical system  Random attractor  One-sided dissipative Lipschitz condition  Implicit Euler scheme
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