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dc.contributor.authorPasqualetto, Enrico
dc.contributor.authorRajala, Tapio
dc.date.accessioned2024-10-17T09:27:33Z
dc.date.available2024-10-17T09:27:33Z
dc.date.issued2024
dc.identifier.citationPasqualetto, E., & Rajala, T. (2024). Vector calculus on weighted reflexive Banach spaces. <i>Mathematische Zeitschrift</i>, <i>308</i>, Article 48. <a href="https://doi.org/10.1007/s00209-024-03605-6" target="_blank">https://doi.org/10.1007/s00209-024-03605-6</a>
dc.identifier.otherCONVID_243540533
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/97501
dc.description.abstractWe study first-order Sobolev spaces on reflexive Banach spaces via relaxation, test plans, and divergence. We show the equivalence of the different approaches to the Sobolev spaces and to the related tangent bundles.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofseriesMathematische Zeitschrift
dc.rightsCC BY 4.0
dc.subject.otherSobolev space
dc.subject.otherweighted Banach space
dc.subject.othertangent bundle
dc.subject.othertest plan
dc.titleVector calculus on weighted reflexive Banach spaces
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202410176364
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0025-5874
dc.relation.volume308
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2024
dc.rights.accesslevelopenAccessfi
dc.subject.ysoalgebrallinen topologia
dc.subject.ysometriset avaruudet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p27954
jyx.subject.urihttp://www.yso.fi/onto/yso/p27753
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s00209-024-03605-6
jyx.fundinginformationThe first named author has been supported by the MIUR-PRIN 202244A7YL project “Gradient Flows and Non-Smooth Geometric Structures with Applications to Optimization and Machine Learning”. Open Access funding provided by University of Jyväskylä (JYU).
dc.type.okmA1


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