arXiv:2001.02460 [math.PR]AbstractReferencesReviewsResources
Spatial quadratic variations for the solution to a stochastic partial differential equation with elliptic divergence form operator
Published 2020-01-08Version 1
We introduce a stochastic partial differential equation (SPDE) with elliptic operator in divergence form, with measurable and bounded coefficients and driven by space-time white noise. Such SPDEs could be used in mathematical modelling of diffusion phenomena in medium consisting of different kinds of materials and undergoing stochastic perturbations. We characterize the solution and, using the Stein--Malliavin calculus, we prove that the sequence of its recentered and renormalized spatial quadratic variations satisfies an almost sure central limit theorem. Particular focus is given to the interesting case where the coefficients of the operator are piecewise constant.
Comments: Published at https://doi.org/10.15559/19-VMSTA139 in the Modern Stochastics: Theory and Applications (https://vmsta.org/) by VTeX (http://www.vtex.lt/)
Journal: Modern Stochastics: Theory and Applications 2019, Vol. 6, No. 3, 345-375
DOI: 10.15559/19-VMSTA139
Categories: math.PR
Keywords: stochastic partial differential equation, elliptic divergence form operator, spatial quadratic variations satisfies
Tags: journal article
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