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dc.contributor.authorChavan, Parth
dc.contributor.authorChavan, Sarth
dc.contributor.authorVignat, Christophe
dc.contributor.authorWakhare, Tanay
dc.date.accessioned2022-11-10T13:01:01Z
dc.date.available2022-11-10T13:01:01Z
dc.date.issued2022-09-01
dc.identifier.urihttps://hdl.handle.net/1721.1/146276
dc.description.abstractAbstract Inspired by a famous identity of Ramanujan, we propose a general formula linearizing the convolution of Dirichlet series as the sum of Dirichlet series with modified weights; its specialization produces new identities and recovers several identities derived earlier in the literature, such as the convolution of squares of Bernoulli numbers by Dixit et al., or the Fourier expansion of the convolution of Bernoulli–Barnes polynomials by Komori et al.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.1007/s11139-022-00624-xen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer USen_US
dc.titleDirichlet series under standard convolutions: variations on Ramanujan’s identity for odd zeta valuesen_US
dc.typeArticleen_US
dc.identifier.citationChavan, Parth, Chavan, Sarth, Vignat, Christophe and Wakhare, Tanay. 2022. "Dirichlet series under standard convolutions: variations on Ramanujan’s identity for odd zeta values."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-11-10T04:24:45Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2022-11-10T04:24:44Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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