Approximations of Stochastic Partial Differential Equations
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🧮 math.PR
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equationsstochasticdifferentialpartialapplicationsapproximatedapproximationsbrownian
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In this paper we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic Burgers equations are discussed.
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