English

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 pp-FEMs and hphp-FEMs raise the question what increment in the current polynomial degree pp guarantees a pp-independent reduction of the Galerkin error. We answer this question for the pp-FEM in the simplified context of homogeneous Dirichlet problems for the Poisson equation in the two dimensional unit square with polynomial data of degree pp. We show that an increment proportional to pp yields a pp-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}
}