The moment zeta function and applications

dc.creatorRivin, Igor
dc.date2002-01-13
dc.date.accessioned2026-07-07T04:45:50Z
dc.date.available2026-07-07T04:45:50Z
dc.descriptionMotivated by a probabilistic analysis of a simple game (itself inspired by a problem in computational learning theory) we introduce the \emph{moment zeta function} of a probability distribution, and study in depth some asymptotic properties of the moment zeta function of those distributions supported in the interval [0, 1]. One example of such zeta functions is Riemann's zeta function (which is the moment zeta function of the uniform distribution in [0, 1]. For Riemann's zeta function we are able to show particularly sharp versions of our results.
dc.description19 pages, supercedes a part of cs.LG/0107033
dc.identifierhttps://arxiv.org/abs/math/0201109
dc.identifierhttp://arxiv.org/abs/math/0201109
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/63104
dc.subjectNumber Theory
dc.subjectClassical Analysis and ODEs
dc.subject11M06; 60F99; 60C05
dc.titleThe moment zeta function and applications
dc.typetext

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