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A Range Condition for Polyconvex Variational Regularization

In the context of convex variational regularization, it is a known result that, under suitable differentiability assumptions, source conditions in the form of variational inequalities imply range conditions, while the converse implication only holds under an additional restriction on the operator. I...

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Autores principales: Kirisits, Clemens, Scherzer, Otmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136524/
https://www.ncbi.nlm.nih.gov/pubmed/30245593
http://dx.doi.org/10.1080/01630563.2018.1467447
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author Kirisits, Clemens
Scherzer, Otmar
author_facet Kirisits, Clemens
Scherzer, Otmar
author_sort Kirisits, Clemens
collection PubMed
description In the context of convex variational regularization, it is a known result that, under suitable differentiability assumptions, source conditions in the form of variational inequalities imply range conditions, while the converse implication only holds under an additional restriction on the operator. In this article, we prove the analogous result for polyconvex regularization. More precisely, we show that the variational inequality derived by the authors in 2017 implies that the derivative of the regularization functional must lie in the range of the dual-adjoint of the derivative of the operator. In addition, we show how to adapt the restriction on the operator in order to obtain the converse implication.
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spelling pubmed-61365242018-09-21 A Range Condition for Polyconvex Variational Regularization Kirisits, Clemens Scherzer, Otmar Numer Funct Anal Optim Article In the context of convex variational regularization, it is a known result that, under suitable differentiability assumptions, source conditions in the form of variational inequalities imply range conditions, while the converse implication only holds under an additional restriction on the operator. In this article, we prove the analogous result for polyconvex regularization. More precisely, we show that the variational inequality derived by the authors in 2017 implies that the derivative of the regularization functional must lie in the range of the dual-adjoint of the derivative of the operator. In addition, we show how to adapt the restriction on the operator in order to obtain the converse implication. Taylor & Francis 2018-07-24 /pmc/articles/PMC6136524/ /pubmed/30245593 http://dx.doi.org/10.1080/01630563.2018.1467447 Text en © 2018 The Author(s). Published by Taylor & Francis. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Kirisits, Clemens
Scherzer, Otmar
A Range Condition for Polyconvex Variational Regularization
title A Range Condition for Polyconvex Variational Regularization
title_full A Range Condition for Polyconvex Variational Regularization
title_fullStr A Range Condition for Polyconvex Variational Regularization
title_full_unstemmed A Range Condition for Polyconvex Variational Regularization
title_short A Range Condition for Polyconvex Variational Regularization
title_sort range condition for polyconvex variational regularization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136524/
https://www.ncbi.nlm.nih.gov/pubmed/30245593
http://dx.doi.org/10.1080/01630563.2018.1467447
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