Orthogonality and probability: beyond nearest neighbor transitions

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dc.creatorKovchegov, Yevgeniy
dc.date2008-12-09
dc.date.accessioned2026-07-07T12:10:54Z
dc.date.available2026-07-07T12:10:54Z
dc.descriptionIn this article, we will explore why Karlin-McGregor method of using orthogonal polynomials in the study of Markov processes was so successful for one dimensional nearest neighbor processes, but failed beyond nearest neighbor transitions. We will proceed by suggesting and testing possible fixtures.
dc.description12 pages
dc.identifierhttps://arxiv.org/abs/0812.1779
dc.identifierhttp://arxiv.org/abs/0812.1779
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210065
dc.subjectProbability
dc.subjectSpectral Theory
dc.subject60G05, 05E35
dc.titleOrthogonality and probability: beyond nearest neighbor transitions
dc.typetext

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