Abstract

For nonlinear stochastic equations dx(t )=( Ax(t )+ f (t, x(t), λ)) dt + g(t, x(t), λ) dω(t )w ith parameter λ in a Hilbert space, we show the existence and uniqueness of mild solutions. Provided that f satisfies a locally Lipschitz condition and g is a uniformly Lipschitz function, some sufficient conditions for p (p ≥ 2) moment locally exponential stability as well as almost surely exponential stability of mild solutions are obtained under a sufficiently small initial value ξ . Meanwhile, we also consider parameter dependence of stable mild solutions for the stochastic system if f , g are sufficiently small Lipschitz perturbations in the parameter λ.

Highlights

  • 1 Introduction Stochastic differential equation has attracted a great attention from both theoretical and applied disciplines since it has been successfully applied to problems in mechanics, economics, physics and several fields in engineering

  • Existence, uniqueness, stability, invariant measures and other quantitative and qualitative properties of solutions to stochastic partial differential equations have been extensively considered by many authors

  • 5 Conclusion This paper is devoted to locally stable behavior and parameter dependence for stochastic differential equations

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Summary

Introduction

Stochastic differential equation has attracted a great attention from both theoretical and applied disciplines since it has been successfully applied to problems in mechanics, economics, physics and several fields in engineering. Existence, uniqueness, stability, invariant measures and other quantitative and qualitative properties of solutions to stochastic partial differential equations have been extensively considered by many authors. In [ ], Mao considered exponential stability in the mean square sense for the strong solutions of linear stochastic differential equations.

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