paper

Strong convergence of a fully discrete finite element approximation of the stochastic Cahn-Hilliard equation

arXiv:1612.09459 · doi:10.1137/17M1121627

Abstract

We consider the stochastic Cahn-Hilliard equation driven by additive Gaussian noise in a convex domain with polygonal boundary in dimension . We discretize the equation using a standard finite element method in space and a fully implicit backward Euler method in time. By proving optimal error estimates on subsets of the probability space with arbitrarily large probability and uniform-in-time moment bounds we show that the numerical solution converges strongly to the solution as the discretization parameters tend to zero.

arXiv comment25 pages

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