Uniform error analysis for Lagrange-Galerkin approximations of convection-dominated problems

Bause M, Knabner P (2002)


Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2002

Journal

Publisher: Society for Industrial and Applied Mathematics

Book Volume: 39

Pages Range: 1954-1984

Journal Issue: 6

URI: https://www1.am.uni-erlangen.de/research/publications/Jahr_2002/2002_BauseKn_UniformErrAnalysisForLangrGalerkinApproxOfConveDominaProb

DOI: 10.1137/S0036142900367478

Abstract

In this paper we present a rigorous error analysis for the Lagrange-Galerkin method applied to convection-dominated diffusion problems. We prove new error estimates in which the constants depend on norms of the data and not of the solution and do not tend to infinity in the hyperbolic limit. This is in contrast to other results in this field. For the time discretization, uniform convergence with respect to the diffusion parameter of order O(k/t) is shown for initial values in L and O(k) for initial values in H. For the spatial discretization with linear finite elements, we verify uniform convergence of order O(h + min{h, h/k}) for data in H. By interpolation of Banach spaces, suboptimal convergence rates are derived under less restrictive assumptions. The analysis is heavily based on a priori estimates, uniform in the diffusion parameter, for the solution of the continuous and the semidiscrete problem. They are derived in a Lagrangian framework by transforming the Eulerian coordinates completely into subcharacteristic coordinates. Finally, we illustrate the error estimates by some numerical results.

Authors with CRIS profile

How to cite

APA:

Bause, M., & Knabner, P. (2002). Uniform error analysis for Lagrange-Galerkin approximations of convection-dominated problems. SIAM Journal on Numerical Analysis, 39(6), 1954-1984. https://doi.org/10.1137/S0036142900367478

MLA:

Bause, Markus, and Peter Knabner. "Uniform error analysis for Lagrange-Galerkin approximations of convection-dominated problems." SIAM Journal on Numerical Analysis 39.6 (2002): 1954-1984.

BibTeX: Download