Quasi-optimality of Petrov-Galerkin discretizations of parabolic problems with random coefficients
Analysis of PDEs
2016-04-26 v1 Numerical Analysis
Probability
Abstract
We consider a linear parabolic problem with random elliptic operator in the usual Gelfand triple setting. We do not assume uniform bounds on the coercivity and boundedness constants, but allow them to be random variables. The parabolic problem is studied in a weak space-time formulation, where we can derive explicit formulas for the inf-sup constants. Under suitable assumptions we prove existence of moments of the solution. We also prove quasi-optimal error estimates for piecewise polynomial Petrov-Galerkin discretizations.
Keywords
Cite
@article{arxiv.1604.06611,
title = {Quasi-optimality of Petrov-Galerkin discretizations of parabolic problems with random coefficients},
author = {Stig Larsson and Christian Mollet and Matteo Molteni},
journal= {arXiv preprint arXiv:1604.06611},
year = {2016}
}
Comments
20 pages, 6 figures