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Numerical solutions of SPDEs involving white noise

H. Manouzi

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Abstract

The purpose of this paper is to give a weak formulation of linear stochastic partial differential equations (SPDEs) in infinite dimension driven by a space-time white noise under the framework of the white noise analysis. We give existence and uniqueness results for the continuous problem. Our method will reduce the problem of solving SPDEs to solving a set of deterministic ones. Moreover, one can reconstruct particular realizations of the solution directly from Wiener chaos expansions once the coefficients are available.

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What this paper is about

The purpose of this paper is to give a weak formulation of linear stochastic partial differential equations (SPDEs) in infinite dimension driven by a space-time white noise under the framework of the white noise analysis. We give existence and uniqueness results for the continuous problem. Our method will reduce the problem of solving SPDEs to solving a set of deterministic ones. Moreover, one can reconstruct particular realizations of the solution directly from Wiener chaos expansions once the coefficients are available.

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Available abstract

The purpose of this paper is to give a weak formulation of linear stochastic partial differential equations (SPDEs) in infinite dimension driven by a space-time white noise under the framework of the white noise analysis. We give existence and uniqueness results for the continuous problem. Our method will reduce the problem of solving SPDEs to solving a set of deterministic ones. Moreover, one can reconstruct particular realizations of the solution directly from Wiener chaos expansions once the coefficients are available.

Key concepts: White noise, Stochastic partial differential equation, Uniqueness, Mathematics, Noise (video), Partial differential equation, Applied mathematics, Dimension (graph theory)

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