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Titlebook: Random Partial Differential Equations; Proceedings of the C U. Hornung,P. Kotelenez,G. Papanicolaou Conference proceedings 1991 Springer Ba

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A Comparison Theorem for a Class of Stochastic Partial Differential Equations,ven by a function valued (possibly cylindrical) Wiener process, and the coefficients are time dependent. This generalizes a result proved in Kotelenez [2]. As a corollary a sufficient condition for positivity of solutions is obtained.
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Small Perturbations for Quasilinear Anticipating Stochastic Differential Equations, stochastic processes. In particular an anticipating stochastic calculus concerning the Skorohod integral has been developed by Nualart and Pardoux in [3]. On the basis of this calculus one can study stochastic differential equations whose solutions are non adapted processes (see [4] for a survey).
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