A Probablistic Origin for a New Class of Bivariate Polynomials

dc.creatorHoare, Michael R.
dc.creatorRahman, Mizan
dc.date2008-12-19
dc.date.accessioned2026-07-07T12:20:56Z
dc.date.available2026-07-07T12:20:56Z
dc.descriptionWe present here a probabilistic approach to the generation of new polynomials in two discrete variables. This extends our earlier work on the 'classical' orthogonal polynomials in a previously unexplored direction, resulting in the discovery of an exactly soluble eigenvalue problem corresponding to a bivariate Markov chain with a transition kernel formed by a convolution of simple binomial and trinomial distributions. The solution of the relevant eigenfunction problem, giving the spectral resolution of the kernel, leads to what we believe to be a new class of orthogonal polynomials in two discrete variables. Possibilities for the extension of this approach are discussed.
dc.descriptionThis is a contribution to the Special Issue on Dunkl Operators and Related Topics, published in SIGMA (Symmetry, Integrability and Geometry: Methods and Applications) at http://www.emis.de/journals/SIGMA/
dc.identifierhttps://arxiv.org/abs/0812.3879
dc.identifierhttp://arxiv.org/abs/0812.3879
dc.identifierSIGMA 4 (2008), 089, 18 pages
dc.identifierdoi:10.3842/SIGMA.2008.089
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213213
dc.subjectClassical Analysis and ODEs
dc.subjectProbability
dc.titleA Probablistic Origin for a New Class of Bivariate Polynomials
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