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dc.contributor.authorIlmavirta, Joonas
dc.contributor.authorKykkänen, Antti
dc.date.accessioned2024-04-10T06:36:24Z
dc.date.available2024-04-10T06:36:24Z
dc.date.issued2024
dc.identifier.citationIlmavirta, J., & Kykkänen, A. (2024). Tensor Tomography on Negatively Curved Manifolds of Low Regularity. <i>Journal of Geometric Analysis</i>, <i>34</i>, Article 147. <a href="https://doi.org/10.1007/s12220-024-01588-8" target="_blank">https://doi.org/10.1007/s12220-024-01588-8</a>
dc.identifier.otherCONVID_207816543
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/94250
dc.description.abstractWe prove solenoidal injectivity for the geodesic X-ray transform of tensor fields on simple Riemannian manifolds with C1,1 metrics and non-positive sectional curvature. The proof of the result rests on Pestov energy estimates for a transport equation on the non-smooth unit sphere bundle of the manifold. Our low regularity setting requires keeping track of regularity and making use of many functions on the sphere bundle having more vertical than horizontal regularity. Some of the methods, such as boundary determination up to gauge and regularity estimates for the integral function, have to be changed substantially from the smooth proof. The natural differential operators such as covariant derivatives are not smooth.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesJournal of Geometric Analysis
dc.rightsCC BY 4.0
dc.subject.othergeodesic X-ray tomography
dc.subject.othernon-smooth geometry
dc.subject.othertensor tomography
dc.subject.otherintegral geometry
dc.subject.otherinverse problems
dc.titleTensor Tomography on Negatively Curved Manifolds of Low Regularity
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202404102815
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.issn1050-6926
dc.relation.volume34
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2024
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber351665
dc.relation.grantnumber359208
dc.relation.grantnumber353092
dc.relation.grantnumber351656
dc.subject.ysointegraalilaskenta
dc.subject.ysoinversio-ongelmat
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7857
jyx.subject.urihttp://www.yso.fi/onto/yso/p27912
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s12220-024-01588-8
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramOthers, AoFen
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramResearch costs of Academy Research Fellow, AoFen
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundingprogramMuut, SAfi
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundingprogramAkatemiatutkijan tutkimuskulut, SAfi
jyx.fundinginformationBoth authors we supported by the Academy of Finland (JI by grant 351665, AK by grant 351656). AK was supported by the Finnish Academy of Science and Letters. This work was supported by the Research Council of Finland (Flagship of Advanced Mathematics for Sensing Imaging and Modelling grant 359208 and Centre of Excellence of Inverse Modelling and Imaging 353092). Open Access funding provided by University of Jyväskylä (JYU).
dc.type.okmA1


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