The Radius of Metric Subregularity
There is a basic paradigm, called here the radius of well-posedness , which quantifies the “distance” from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to...
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Veröffentlicht in: | Set-valued and variational analysis 2020-09, Vol.28 (3), p.451-473 |
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creator | Dontchev, Asen L. Gfrerer, Helmut Kruger, Alexander Y. Outrata, Jiří V. |
description | There is a basic paradigm, called here the
radius of well-posedness
, which quantifies the “distance” from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to measure the effect of perturbations and approximations of a problem on its solutions. In this paper we focus on evaluating the radius of the property of metric subregularity which, in contrast to its siblings, metric regularity, strong regularity and strong subregularity, exhibits a more complicated behavior under various perturbations. We consider three kinds of perturbations: by Lipschitz continuous functions, by semismooth functions, and by smooth functions, obtaining different expressions/bounds for the radius of subregularity, which involve generalized derivatives of set-valued mappings. We also obtain different expressions when using either Frobenius or Euclidean norm to measure the radius. As an application, we evaluate the radius of subregularity of a general constraint system. Examples illustrate the theoretical findings. |
doi_str_mv | 10.1007/s11228-019-00523-2 |
format | Article |
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radius of well-posedness
, which quantifies the “distance” from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to measure the effect of perturbations and approximations of a problem on its solutions. In this paper we focus on evaluating the radius of the property of metric subregularity which, in contrast to its siblings, metric regularity, strong regularity and strong subregularity, exhibits a more complicated behavior under various perturbations. We consider three kinds of perturbations: by Lipschitz continuous functions, by semismooth functions, and by smooth functions, obtaining different expressions/bounds for the radius of subregularity, which involve generalized derivatives of set-valued mappings. We also obtain different expressions when using either Frobenius or Euclidean norm to measure the radius. As an application, we evaluate the radius of subregularity of a general constraint system. Examples illustrate the theoretical findings.</description><identifier>ISSN: 1877-0533</identifier><identifier>EISSN: 1877-0541</identifier><identifier>DOI: 10.1007/s11228-019-00523-2</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Analysis ; Continuity (mathematics) ; Evaluation ; Ill posed problems ; Mathematics ; Mathematics and Statistics ; Optimization ; Regularity ; Well posed problems</subject><ispartof>Set-valued and variational analysis, 2020-09, Vol.28 (3), p.451-473</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Springer Nature B.V. 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-cb74e592f565c41b8272640fbbce630bab2d7f7d222c80698b4cf914e12bbdf63</citedby><cites>FETCH-LOGICAL-c319t-cb74e592f565c41b8272640fbbce630bab2d7f7d222c80698b4cf914e12bbdf63</cites><orcidid>0000-0002-7861-7380</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11228-019-00523-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11228-019-00523-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Dontchev, Asen L.</creatorcontrib><creatorcontrib>Gfrerer, Helmut</creatorcontrib><creatorcontrib>Kruger, Alexander Y.</creatorcontrib><creatorcontrib>Outrata, Jiří V.</creatorcontrib><title>The Radius of Metric Subregularity</title><title>Set-valued and variational analysis</title><addtitle>Set-Valued Var. Anal</addtitle><description>There is a basic paradigm, called here the
radius of well-posedness
, which quantifies the “distance” from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to measure the effect of perturbations and approximations of a problem on its solutions. In this paper we focus on evaluating the radius of the property of metric subregularity which, in contrast to its siblings, metric regularity, strong regularity and strong subregularity, exhibits a more complicated behavior under various perturbations. We consider three kinds of perturbations: by Lipschitz continuous functions, by semismooth functions, and by smooth functions, obtaining different expressions/bounds for the radius of subregularity, which involve generalized derivatives of set-valued mappings. We also obtain different expressions when using either Frobenius or Euclidean norm to measure the radius. As an application, we evaluate the radius of subregularity of a general constraint system. Examples illustrate the theoretical findings.</description><subject>Analysis</subject><subject>Continuity (mathematics)</subject><subject>Evaluation</subject><subject>Ill posed problems</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Optimization</subject><subject>Regularity</subject><subject>Well posed problems</subject><issn>1877-0533</issn><issn>1877-0541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kDFPwzAQhS0EEqXwB5gimA13ZydORlRBQSpCgjJbsWOXVKUpdjL032MIgo3p3vC-d9LH2DnCFQKo64hIVHLAigPkJDgdsAmWSnHIJR7-ZiGO2UmM68QAVDhhF8s3lz3XTTvErPPZo-tDa7OXwQS3GjZ1aPv9KTvy9Sa6s587Za93t8vZPV88zR9mNwtuBVY9t0ZJl1fk8yK3Ek1JigoJ3hjrCgGmNtQorxoisiUUVWmk9RVKh2RM4wsxZZfj7i50H4OLvV53Q9iml5okVaDSoEgtGls2dDEG5_UutO912GsE_eVCjy50cqG_XWhKkBihmMrblQt_0_9QnxvcX7Q</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Dontchev, Asen L.</creator><creator>Gfrerer, Helmut</creator><creator>Kruger, Alexander Y.</creator><creator>Outrata, Jiří V.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7861-7380</orcidid></search><sort><creationdate>20200901</creationdate><title>The Radius of Metric Subregularity</title><author>Dontchev, Asen L. ; Gfrerer, Helmut ; Kruger, Alexander Y. ; Outrata, Jiří V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-cb74e592f565c41b8272640fbbce630bab2d7f7d222c80698b4cf914e12bbdf63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Continuity (mathematics)</topic><topic>Evaluation</topic><topic>Ill posed problems</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Optimization</topic><topic>Regularity</topic><topic>Well posed problems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dontchev, Asen L.</creatorcontrib><creatorcontrib>Gfrerer, Helmut</creatorcontrib><creatorcontrib>Kruger, Alexander Y.</creatorcontrib><creatorcontrib>Outrata, Jiří V.</creatorcontrib><collection>CrossRef</collection><jtitle>Set-valued and variational analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dontchev, Asen L.</au><au>Gfrerer, Helmut</au><au>Kruger, Alexander Y.</au><au>Outrata, Jiří V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Radius of Metric Subregularity</atitle><jtitle>Set-valued and variational analysis</jtitle><stitle>Set-Valued Var. Anal</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>28</volume><issue>3</issue><spage>451</spage><epage>473</epage><pages>451-473</pages><issn>1877-0533</issn><eissn>1877-0541</eissn><abstract>There is a basic paradigm, called here the
radius of well-posedness
, which quantifies the “distance” from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to measure the effect of perturbations and approximations of a problem on its solutions. In this paper we focus on evaluating the radius of the property of metric subregularity which, in contrast to its siblings, metric regularity, strong regularity and strong subregularity, exhibits a more complicated behavior under various perturbations. We consider three kinds of perturbations: by Lipschitz continuous functions, by semismooth functions, and by smooth functions, obtaining different expressions/bounds for the radius of subregularity, which involve generalized derivatives of set-valued mappings. We also obtain different expressions when using either Frobenius or Euclidean norm to measure the radius. As an application, we evaluate the radius of subregularity of a general constraint system. Examples illustrate the theoretical findings.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11228-019-00523-2</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-7861-7380</orcidid></addata></record> |
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subjects | Analysis Continuity (mathematics) Evaluation Ill posed problems Mathematics Mathematics and Statistics Optimization Regularity Well posed problems |
title | The Radius of Metric Subregularity |
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