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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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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. |
format | Online Article Text |
id | pubmed-6136524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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