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The Stability and Well-Posedness of Fixed Points for Relation-Theoretic Multi-Valued Maps

dc.contributor.authorLetlhage, Isaac Karabo
dc.contributor.authorKhantwal, Deepak
dc.contributor.authorPant, Rajendra
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.date.accessioned2023-11-23T15:42:28Z
dc.date.available2023-11-23T15:42:28Z
dc.date.issued2023-10-13
dc.identifier.citationMathematics 11(20) : (2023) // Article 4271es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/63132
dc.description.abstractThe purpose of this study is to present fixed-point results for Suzuki-type multi-valued maps using relation theory. We examine a range of implications that arise from our primary discovery. Furthermore, we present two substantial cases that illustrate the importance of our main theorem. In addition, we examine the stability of fixed-point sets for multi-valued maps and the concept of well-posedness. We present an application to a specific functional equation which arises in dynamic programming.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmetric spacees_ES
dc.subjectbinary relationes_ES
dc.subjectrelation-theoretic contractiones_ES
dc.subjectfixed pointses_ES
dc.titleThe Stability and Well-Posedness of Fixed Points for Relation-Theoretic Multi-Valued Mapses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-10-27T12:57:22Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/11/20/4271es_ES
dc.identifier.doi10.3390/math11204271
dc.departamentoesElectricidad y electrónica
dc.departamentoeuElektrizitatea eta elektronika


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).