Elliptic Reconstruction and A Posteriori Error Estimates for Parabolic Variational Inequalities

Fuente: arXiv
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Autori principali: Antil, Harbir, Khandelwal, Rohit
Natura: Preprint
Pubblicazione: 2024
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author Antil, Harbir
Khandelwal, Rohit
author_facet Antil, Harbir
Khandelwal, Rohit
contents Elliptic reconstruction property, originally introduced by Makridakis and Nochetto for linear parabolic problems, is a well-known tool to derive optimal a posteriori error estimates. No such results are known for nonlinear and nonsmooth problems such as parabolic variational inequalities (VIs). This article establishes the elliptic reconstruction property for parabolic VIs and derives a posteriori error estimates in $L^{\infty}(0,T;L^{2}(Ω))$. The estimator consists of discrete complementarity terms and standard residual. As an application, the residual-type error estimates are presented.
format Preprint
id arxiv_https___arxiv_org_abs_2402_17724
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Elliptic Reconstruction and A Posteriori Error Estimates for Parabolic Variational Inequalities
Antil, Harbir
Khandelwal, Rohit
Numerical Analysis
Analysis of PDEs
Optimization and Control
Elliptic reconstruction property, originally introduced by Makridakis and Nochetto for linear parabolic problems, is a well-known tool to derive optimal a posteriori error estimates. No such results are known for nonlinear and nonsmooth problems such as parabolic variational inequalities (VIs). This article establishes the elliptic reconstruction property for parabolic VIs and derives a posteriori error estimates in $L^{\infty}(0,T;L^{2}(Ω))$. The estimator consists of discrete complementarity terms and standard residual. As an application, the residual-type error estimates are presented.
title Elliptic Reconstruction and A Posteriori Error Estimates for Parabolic Variational Inequalities
topic Numerical Analysis
Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2402.17724