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dc.contributor.authorKow, Pu-Zhao
dc.contributor.authorWang, Jenn-Nan
dc.date.accessioned2022-09-28T11:58:55Z
dc.date.available2022-09-28T11:58:55Z
dc.date.issued2022
dc.identifier.citationKow, P.-Z., & Wang, J.-N. (2022). Refined instability estimates for some inverse problems. <i>Inverse Problems and Imaging</i>, <i>16</i>(6), 1619-1642. <a href="https://doi.org/10.3934/ipi.2022017" target="_blank">https://doi.org/10.3934/ipi.2022017</a>
dc.identifier.otherCONVID_118840927
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83337
dc.description.abstractMany inverse problems are known to be ill-posed. The ill-posedness can be manifested by an instability estimate of exponential type, first derived by Mandache [29]. In this work, based on Mandache's idea, we refine the instability estimates for two inverse problems, including the inverse inclusion problem and the inverse scattering problem. Our aim is to derive explicitly the dependence of the instability estimates on key parameters. The first result of this work is to show how the instability depends on the depth of the hidden inclusion and the conductivity of the background medium. This work can be regarded as a counterpart of the depth-dependent and conductivity-dependent stability estimate proved by Li, Wang, and Wang [28], or pure dependent stability estimate proved by Nagayasu, Uhlmann, and Wang [31]. We rigorously justify the intuition that the exponential instability becomes worse as the inclusion is hidden deeper inside a conductor or the conductivity is larger. The second result is to justify the optimality of increasing stability in determining the near-field of a radiating solution of the Helmholtz equation from the far-field pattern. Isakov [16] showed that the stability of this inverse problem increases as the frequency increases in the sense that the stability estimate changes from a logarithmic type to a Hölder type. We prove in this work that the instability changes from an exponential type to a Hölder type as the frequency increases. This result is inspired by our recent work [25].en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherAmerican Institute of Mathematical Sciences (AIMS)
dc.relation.ispartofseriesInverse Problems and Imaging
dc.rightsCC BY 4.0
dc.subject.otherinverse problems
dc.subject.otherinstability
dc.subject.otherCalderón's problem
dc.subject.otherelectrical impedance tomography
dc.subject.otherdepth-dependent instability of exponential-type
dc.subject.otherHelmholtz equation
dc.subject.otherscattering theory
dc.subject.otherRellich lemma
dc.subject.otherincreasing stability phenomena
dc.subject.other35J15
dc.subject.other35R25
dc.subject.other35R30
dc.titleRefined instability estimates for some inverse problems
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202209284693
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.format.pagerange1619-1642
dc.relation.issn1930-8337
dc.relation.numberinseries6
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2022
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber770924
dc.relation.grantnumber770924
dc.relation.grantnumber312121
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/770924/EU//IPTheoryUnified
dc.subject.ysoinversio-ongelmat
dc.subject.ysoosittaisdifferentiaaliyhtälöt
dc.subject.ysosironta
dc.subject.ysokuvantaminen
dc.subject.ysoimpedanssitomografia
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p27912
jyx.subject.urihttp://www.yso.fi/onto/yso/p12392
jyx.subject.urihttp://www.yso.fi/onto/yso/p1026
jyx.subject.urihttp://www.yso.fi/onto/yso/p3532
jyx.subject.urihttp://www.yso.fi/onto/yso/p17797
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3934/ipi.2022017
dc.relation.funderEuropean Commissionen
dc.relation.funderResearch Council of Finlanden
dc.relation.funderEuroopan komissiofi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramERC Consolidator Granten
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramERC Consolidator Grantfi
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundinginformationKow is partially supported by the Academy of Finland (Centre of Excellence in Inverse Modelling and Imaging, 312121) and by the European Research Council under Horizon 2020 (ERC CoG 770924). Wang is partially supported by MOST 108-2115-M-002-002-MY3 and MOST 109-2115-M-002-001-MY3.
dc.type.okmA1


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