A saturation property for the spectral-Galerkin approximation of a Dirichlet problem in a square
Numerical Analysis
2018-01-04 v2
Abstract
Both practice and analysis of adaptive -FEMs and -FEMs raise the question what increment in the current polynomial degree guarantees a -independent reduction of the Galerkin error. We answer this question for the -FEM in the simplified context of homogeneous Dirichlet problems for the Poisson equation in the two dimensional unit square with polynomial data of degree . We show that an increment proportional to yields a -robust error reduction and provide computational evidence that a constant increment does not.
Keywords
Cite
@article{arxiv.1712.09267,
title = {A saturation property for the spectral-Galerkin approximation of a Dirichlet problem in a square},
author = {Claudio Canuto and Ricardo H. Nochetto and Rob Stevenson and Marco Verani},
journal= {arXiv preprint arXiv:1712.09267},
year = {2018}
}