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dc.contributor.authorGhosh, Tuhin
dc.contributor.authorRüland, Angkana
dc.contributor.authorSalo, Mikko
dc.contributor.authorUhlmann, Gunther
dc.date.accessioned2020-04-15T08:59:19Z
dc.date.available2020-04-15T08:59:19Z
dc.date.issued2020
dc.identifier.citationGhosh, T., Rüland, A., Salo, M., & Uhlmann, G. (2020). Uniqueness and reconstruction for the fractional Calderón problem with a single measurement. <i>Journal of Functional Analysis</i>, <i>279</i>, 1. <a href="https://doi.org/10.1016/j.jfa.2020.108505" target="_blank">https://doi.org/10.1016/j.jfa.2020.108505</a>
dc.identifier.otherCONVID_34603700
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68537
dc.description.abstractWe show global uniqueness in the fractional Calderón problem with a single measurement and with data on arbitrary, possibly disjoint subsets of the exterior. The previous work [10] considered the case of infinitely many measurements. The method is again based on the strong uniqueness properties for the fractional equation, this time combined with a unique continuation principle from sets of measure zero. We also give a constructive procedure for determining an unknown potential from a single exterior measurement, based on constructive versions of the unique continuation result that involve different regularization schemes.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherAcademic Press
dc.relation.ispartofseriesJournal of Functional Analysis
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherCalderón problem
dc.subject.otherfunctional analysis
dc.titleUniqueness and reconstruction for the fractional Calderón problem with a single measurement
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202004152759
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineInversio-ongelmien huippuyksikköfi
dc.contributor.oppiaineMatematiikkafi
dc.contributor.oppiaineCentre of Excellence in Inverse Problemsen
dc.contributor.oppiaineMathematicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1
dc.relation.issn0022-1236
dc.relation.volume279
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 Elsevier Inc
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber309963
dc.relation.grantnumber307023
dc.relation.grantnumber307023
dc.relation.grantnumber312121
dc.relation.grantnumber770924
dc.relation.grantnumber770924
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/307023/EU//InvProbGeomPDE
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/770924/EU//IPTheoryUnified
dc.subject.ysofunktionaalianalyysi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p17780
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.jfa.2020.108505
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuropean Commissionen
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderEuroopan komissiofi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramFP7 (EU's 7th Framework Programme)en
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramERC Consolidator Granten
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramEU:n 7. puiteohjelma (FP7)fi
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundingprogramERC Consolidator Grantfi
jyx.fundinginformationM.S. was supported by the Academy of Finland (Centre of Excellence in Inverse Modelling and Imaging, grant numbers 312121 and 309963) and by the European Research Council under FP7/2007-2013 (ERC StG 307023) and Horizon 2020 (ERC CoG 770924). G.U. was partly supported by NSF and a Si-Yuan Professorship at IAS, HKUST.
dc.type.okmA1


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