Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89354
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorDeng, Wen_US
dc.creatorLi, Ben_US
dc.creatorQian, Zen_US
dc.creatorWang, Hen_US
dc.date.accessioned2021-03-18T03:04:38Z-
dc.date.available2021-03-18T03:04:38Z-
dc.identifier.issn0036-1429en_US
dc.identifier.urihttp://hdl.handle.net/10397/89354-
dc.language.isoenen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.rights© 2018, Society for Industrial and Applied Mathematics.en_US
dc.rightsPosted with permission of the publisher.en_US
dc.rightsThe following publication Deng, W., Li, B., Qian, Z., & Wang, H. (2018). Time discretization of a tempered fractional Feynman--Kac equation with measure data. SIAM Journal on Numerical Analysis, 56(6), 3249-3275 is available at https://dx.doi.org/10.1137/17M1118245en_US
dc.subjectConvergenceen_US
dc.subjectConvolution quadratureen_US
dc.subjectFeynmann-Kac equationen_US
dc.subjectIntegral representationen_US
dc.subjectTempered fractional operatorsen_US
dc.titleTime discretization of a tempered fractional Feynman-Kac equation with measure dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage3249en_US
dc.identifier.epage3275en_US
dc.identifier.volume56en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1137/17M1118245en_US
dcterms.abstractA feasible approach to study tempered anomalous dynamics is to analyze its functional distribution, which is governed by the tempered fractional Feynman-Kac equation. The main challenges of numerically solving the equation come from the time-space coupled nonlocal operators and the complex parameters involved. In this work, we introduce an efficient time-stepping method to discretize the tempered fractional Feynman-Kac equation by using the Laplace transform representation of convolution quadrature. Rigorous error estimate for the discrete solutions is carried out in the measure norm. Numerical experiments are provided to support the theoretical results.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSIAM journal on numerical analysis, 2018, v. 56, no. 6, p. 3249-3275en_US
dcterms.isPartOfSIAM journal on numerical analysisen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85060027928-
dc.identifier.eissn1095-7170en_US
dc.description.validate202103 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0602-n01-
dc.identifier.SubFormID546-
dc.description.fundingSourceRGCen_US
dc.description.fundingText15300817en_US
dc.description.pubStatusPublisheden_US
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