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The Spectral Density Function for the Laplacian on High Tensor Powers of a Line Bundle

dc.contributor.authorBorthwick, Daviden_US
dc.contributor.authorUribe, Alejandroen_US
dc.date.accessioned2006-09-08T19:36:24Z
dc.date.available2006-09-08T19:36:24Z
dc.date.issued2002-05en_US
dc.identifier.citationBorthwick, David; Uribe, Alejandro; (2002). "The Spectral Density Function for the Laplacian on High Tensor Powers of a Line Bundle." Annals of Global Analysis and Geometry 21(3): 269-286. <http://hdl.handle.net/2027.42/41759>en_US
dc.identifier.issn0232-704Xen_US
dc.identifier.issn1572-9060en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41759
dc.description.abstractFor a symplectic manifold with quantizing line bundle, a choice of almost complex structure determines a Laplacian acting on tensor powers of the bundle. For high tensor powers Guillemin–Uribe showed that there is a well-defined cluster of low-lying eigenvalues, whose distribution is described by a spectral density function. We give an explicit computation of the spectral density function, by constructing certain quasimodes on the associated principle bundle.en_US
dc.format.extent139541 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherMathematicsen_US
dc.subject.otherGroup Theory and Generalizationsen_US
dc.subject.otherAnalysisen_US
dc.subject.otherGeometryen_US
dc.subject.otherMathematical and Computational Physicsen_US
dc.subject.otherStatistics for Business/Economics/Mathematical Finance/Insuranceen_US
dc.subject.otherAlmost KäHleren_US
dc.subject.otherSpectral Density Functionen_US
dc.subject.otherQuasimodeen_US
dc.titleThe Spectral Density Function for the Laplacian on High Tensor Powers of a Line Bundleen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMathematics Department, University of Michigan, Ann Arbor, MI, 48109, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Mathematics and Computer Science, Emory University, Atlanta, GA, 30322, U.S.A.en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41759/1/10455_2004_Article_389544.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1014944725113en_US
dc.identifier.sourceAnnals of Global Analysis and Geometryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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