An Osgood's criterion for a semilinear stochastic differential equation

preprint2014arXivOpen access

Abstract

The purpose of this paper is to give an Osgood's criterion for solutions of semilinear stochastic differential equations of the form Xt=ξ+∫0tb(s,Xs)ds+∫0tσ(s)XsdWs, t≥0X_{t}=ξ+\int_{0}^{t}b(s,X_{s})ds+\int_{0}^{t}σ(s)X_{s}dW_{s},\ t\geq 0. Here, bb is a non-negative, non-decreasing by components and continuous random field and σσ is a predictable and continuous process. Also we present a generalization of the so-called Feller's test whenever σ≡1σ\equiv 1.

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