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Homogenization and correctors for linear stochastic equations via the periodic unfolding methods

机译:通过周期性展开方法实现线性随机方程的均匀化和校正

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In this paper, we use the periodic unfolding method and Prokhorov's and Skorokhod's probabilistic compactness results to obtain homogenization and corrector results for stochastic partial differential equations (PDEs) with periodically oscillating coefficients. We show the convergence of the solutions of the original problems to the solutions of the homogenized problems. In contrast to the two-scale convergence method, the corrector results obtained in this paper are without any additional regularity assumptions on the solutions of the original problems.
机译:在本文中,我们使用周期性展开方法和Prokhorov和Skorokhod的概率致密度结果,以获得具有周期性振荡系数的随机偏微分方程(PDE)的均质化和校正结果。 我们展示了原始问题解决方案对均质问题的解决方案的融合。 与双级收敛方法相比,本文获得的校正器结果在原始问题的解决方案上没有任何额外的规则性假设。

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