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CONVERGENCE ANALYSIS OF THE NONOVERLAPPING ROBIN--ROBIN METHOD FOR NONLINEAR ELLIPTIC EQUATIONS.

Authors :
ENGSTRÖM, EMIL
HANSEN, ESKIL
Source :
SIAM Journal on Numerical Analysis. 2022, Vol. 60 Issue 2, p585-605. 31p.
Publication Year :
2022

Abstract

We prove convergence for the nonoverlapping Robin--Robin method applied to nonlinear elliptic equations with a p-structure, including degenerate diffusion equations governed by the p-Laplacian. This nonoverlapping domain decomposition is commonly encountered when discretizing elliptic equations, as it enables the usage of parallel and distributed hardware. Convergence has been derived in various linear contexts, but little has been proven for nonlinear equations. Hence, we develop a new theory for nonlinear Steklov--Poincaré operators based on the p-structure and the Lp-generalization of the Lions--Magenes spaces. This framework allows the reformulation of the Robin--Robin method into a Peaceman--Rachford splitting on the interfaces of the subdomains, and the convergence analysis then follows by employing elements of the abstract theory for monotone operators. The analysis is performed on Lipschitz domains and without restrictive regularity assumptions on the solutions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00361429
Volume :
60
Issue :
2
Database :
Academic Search Index
Journal :
SIAM Journal on Numerical Analysis
Publication Type :
Academic Journal
Accession number :
156310425
Full Text :
https://doi.org/10.1137/21M1414942