Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4645296 | Applied Numerical Mathematics | 2013 | 19 Pages |
Abstract
We consider an initial and Dirichlet boundary value problem for a linear fourth-order stochastic parabolic equation, in two or three space dimensions, forced by an additive space–time white noise. Discretizing the space–time white noise a modeling error is introduced and a regularized fourth-order linear stochastic parabolic problem is obtained. Fully-discrete approximations to the solution of the regularized problem are constructed by using, for discretization in space, a standard Galerkin finite element method based on H2-piecewise polynomials, and, for time-stepping, the Backward Euler method. We derive strong a priori estimates for the modeling error and for the approximation error to the solution of the regularized problem.
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