Convergence Analysis of the Nonoverlapping Robin-Robin Method for Nonlinear Elliptic Equations

05/03/2021
by   Emil Engström, et al.
0

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 L^p-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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/29/2023

Linearly convergent nonoverlapping domain decomposition methods for quasilinear parabolic equations

We prove linear convergence for a new family of modified Dirichlet–Neuma...
research
02/21/2021

Convergence rate of DeepONets for learning operators arising from advection-diffusion equations

We present convergence rates of operator learning in [Chen and Chen 1995...
research
01/04/2021

Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity

Nonlinear multi-scale problems are ubiquitous in materials science and b...
research
08/06/2019

Optimal homogenization rates in stochastic homogenization of nonlinear uniformly elliptic equations and systems

We derive optimal-order homogenization rates for random nonlinear ellipt...
research
10/25/2022

Time-dependent Steklov–Poincaré operators and space-time Robin–Robin decomposition for the heat equation

Domain decomposition methods are a set of widely used tools for parallel...
research
03/17/2021

Convergent Finite Difference Methods for Fully Nonlinear Elliptic Equations in Three Dimensions

We introduce a generalized finite difference method for solving a large ...
research
02/10/2023

A Non-gradient DG method for second-order Elliptic Equations in the Non-divergence Form

L^1 based optimization is widely used in image denoising, machine learni...

Please sign up or login with your details

Forgot password? Click here to reset