A mixed formulation for the direct approximation of $L^2$-weighted controls for the linear heat equation

Fuente: arXiv
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Main Authors: Münch, Arnaud, Souza, Diego A.
Format: Preprint
Published: 2024
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author Münch, Arnaud
Souza, Diego A.
author_facet Münch, Arnaud
Souza, Diego A.
contents This paper deals with the numerical computation of null controls for the linear heat equation. The goal is to compute approximations of controls that drive the solution from a prescribed initial state to zero at a given positive time. In [Fernandez-Cara \& Münch, Strong convergence approximations of null controls for the 1D heat equation, 2013], a so-called primal method is described leading to a strongly convergent approximation of distributed control: the controls minimize quadratic weighted functionals involving both the control and the state and are obtained by solving the corresponding optimality conditions. In this work, we adapt the method to approximate the control of minimal square integrable-weighted norm. The optimality conditions of the problem are reformulated as a mixed formulation involving both the state and its adjoint. We prove the well-posedness of the mixed formulation (in particular the inf-sup condition) then discuss several numerical experiments. The approach covers both the boundary and the inner situation and is valid in any dimension.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06713
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A mixed formulation for the direct approximation of $L^2$-weighted controls for the linear heat equation
Münch, Arnaud
Souza, Diego A.
Optimization and Control
35K35, 65M12, 93B40, 65K10
This paper deals with the numerical computation of null controls for the linear heat equation. The goal is to compute approximations of controls that drive the solution from a prescribed initial state to zero at a given positive time. In [Fernandez-Cara \& Münch, Strong convergence approximations of null controls for the 1D heat equation, 2013], a so-called primal method is described leading to a strongly convergent approximation of distributed control: the controls minimize quadratic weighted functionals involving both the control and the state and are obtained by solving the corresponding optimality conditions. In this work, we adapt the method to approximate the control of minimal square integrable-weighted norm. The optimality conditions of the problem are reformulated as a mixed formulation involving both the state and its adjoint. We prove the well-posedness of the mixed formulation (in particular the inf-sup condition) then discuss several numerical experiments. The approach covers both the boundary and the inner situation and is valid in any dimension.
title A mixed formulation for the direct approximation of $L^2$-weighted controls for the linear heat equation
topic Optimization and Control
35K35, 65M12, 93B40, 65K10
url https://arxiv.org/abs/2402.06713