Maximum norm a posteriori error estimation for parabolic problems using elliptic reconstructions

Natalia Kopteva, Torsten Linss

Research output: Contribution to journalArticlepeer-review

Abstract

A semilinear second-order parabolic equation is considered in a regular and a singularly perturbed regime. For this equation, we give computable a posteriori error estimates in the maximum norm. Semidiscrete and fully discrete versions of the backward Euler, Crank-Nicolson, and discontinuous Galerkin dG(r) methods are addressed. For their full discretizations, we employ elliptic reconstructions that are, respectively, piecewise-constant, piecewise-linear, and piecewise-quadratic for r = 1 in time. We also use certain bounds for the Green's function of the parabolic operator.

Original languageEnglish
Pages (from-to)1494-1524
Number of pages31
JournalSIAM Journal on Numerical Analysis
Volume51
Issue number3
DOIs
Publication statusPublished - 2013

Keywords

  • A posteriori error estimate
  • Backward Euler
  • Crank-Nicolson
  • Discontinuous Galerkin
  • Elliptic reconstruction
  • Maximum norm
  • Parabolic equation
  • Reactiondiffusion
  • Singular perturbation

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