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

被引:1
|
作者
Lee, Young-Ju [1 ]
Park, Jongho [2 ]
机构
[1] Texas State Univ, Dept Math, San Marcos, TX 78666 USA
[2] King Abdullah Univ Sci & Technol KAUST, Appl Math & Computat Sci Program, Comp Elect & Math Sci & Engn Div, Thuwal 23955, Saudi Arabia
基金
新加坡国家研究基金会;
关键词
additive Schwarz method; p-Laplacian; linear convergence; quasi-norm; Poincar & eacute; -Friedrichs inequality; convergence analysis; FINITE-ELEMENT APPROXIMATION; CONVEX-OPTIMIZATION; 1ST-ORDER METHODS; SUBSPACE CORRECTIONS; SPACE DECOMPOSITION; INTERPOLATION; INEQUALITIES; ALGORITHMS;
D O I
10.1093/imanum/drae068
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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 Poincar & eacute;-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.
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页数:30
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