Subdifferentials and penalty approximations of the obstacle problem

Fuente: arXiv
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Main Authors: Alphonse, Amal, Wachsmuth, Gerd
Format: Preprint
Published: 2024
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author Alphonse, Amal
Wachsmuth, Gerd
author_facet Alphonse, Amal
Wachsmuth, Gerd
contents We consider a framework for approximating the obstacle problem through a penalty approach by nonlinear PDEs. By using tools from capacity theory, we show that derivatives of the solution maps of the penalised problems converge in the weak operator topology to an element of the strong-weak Bouligand subdifferential. We are able to treat smooth penalty terms as well as nonsmooth ones involving for example the positive part function $\max(0,\cdot)$. Our abstract framework applies to several specific choices of penalty functions which are omnipresent in the literature. We conclude with consequences to the theory of optimal control of the obstacle problem.
format Preprint
id arxiv_https___arxiv_org_abs_2412_13029
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Subdifferentials and penalty approximations of the obstacle problem
Alphonse, Amal
Wachsmuth, Gerd
Analysis of PDEs
Optimization and Control
We consider a framework for approximating the obstacle problem through a penalty approach by nonlinear PDEs. By using tools from capacity theory, we show that derivatives of the solution maps of the penalised problems converge in the weak operator topology to an element of the strong-weak Bouligand subdifferential. We are able to treat smooth penalty terms as well as nonsmooth ones involving for example the positive part function $\max(0,\cdot)$. Our abstract framework applies to several specific choices of penalty functions which are omnipresent in the literature. We conclude with consequences to the theory of optimal control of the obstacle problem.
title Subdifferentials and penalty approximations of the obstacle problem
topic Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2412.13029