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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the linear convergence of additive Schwarz methods for the p-Laplacian

Young Ju Lee, Jong-Ho Park
3 citations
IMA Journal of Numerical Analysis
Advanced Mathematical Modeling in Engineering
1.08
article

On the linear convergence of additive Schwarz methods for the p-Laplacian

Young Ju Lee, Jong-Ho Park
article en
3 citations

Abstract

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.

IMA Journal of Numerical Analysis
Texas State University (US), Applied Mathematics (United States) (US), King Abdullah University of Science and Technology (SA)
Ministry of Science and ICT, South Korea
Openalex Percentile: Top 20%
Advanced Mathematical Modeling in Engineering
1.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On the linear convergence of additive Schwarz methods for the <i>p</i>-Laplacian — Young Ju Lee, Jong-Ho Park · IMA Journal of Numerical Analysis (2024) | TGRS Research Map | TGRS