On the linear convergence of additive Schwarz methods for the <i>p</i>-Laplacian
Abstract We consider additive Schwarz methods for boundary value problems involving the $p$-Laplacian. While existing theoretical estimates suggest a sublinear convergence rate for these methods, empirical evidence from numerical experiments demonstrates a linear convergence rate. In this paper we narrow the gap between these theoretical and empirical results by presenting a novel convergence analysis. First, we present a new convergence theory for additive Schwarz methods written in terms of a quasi-norm. This quasi-norm exhibits behaviour akin to the Bregman distance of the convex energy functional associated with the problem. Secondly, we provide a quasi-norm version of the Poincaré–Friedrichs inequality, which plays a crucial role in deriving a quasi-norm stable decomposition for a two-level domain decomposition setting. By utilizing these key elements we establish the asymptotic linear convergence of additive Schwarz methods for the $p$-Laplacian.
Authors
- Young Ju Lee (ORCID: https://orcid.org/0000-0001-5294-7368)
- Jong-Ho Park (ORCID: https://orcid.org/0000-0002-0496-649X)
Institutions
- Texas State University (US)
- Applied Mathematics (United States) (US)
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- IMA Journal of Numerical Analysis
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1093/imanum/drae068
- Citations
- 3
- Primary Topic
- Advanced Mathematical Modeling in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.08
Funders
- Ministry of Science and ICT, South Korea