2011/06/13 by J. S. Dehesa, Jesus S. Dehesa, P. Sánchez‐Moreno +3
Mathematics · Physics and Astronomy · #Fractional Differential Equations Solutions #Mathematical functions and polynomials #Quantum Mechanics and Non-Hermitian Physics #math-ph #math.MP #msc:30G25 #msc:33C45 #msc:33D45 #msc:94A15 #msc:94A17
paper · pdf · doi:10.1080/10236198.2010.510520
published as Journal of Difference Equations and Applications 18 (2012) 489-508 · 18 pages, 10 figures
openalex publication_date 2011/06/13 · arxiv created 2013/05/20 · arxiv updated 2013/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The analytic information theory of discrete distributions was initiated in 1998 by C. Knessl, P. Jacquet and S. Szpankowski who addressed the precise evaluation of the Renyi and Shannon entropies of the Poisson, Pascal (or negative binomial) and binomial distributions. They were able to derive various asymptotic approximations and, at times, lower and upper bounds for these quantities. Here, we extend these investigations in a twofold way. First, we consider a much larger class of distributions, the Rakhmanov distributions , where denote the sequences of discrete hypergeometric-type polynomials that are orthogonal with respect to the weight function ω(x) of Poisson, Pascal, binomial and hypergeometric types, i.e. the polynomials of Charlier, Meixner, Kravchuk and Hahn. Second, we obtain the explicit expressions for the relative Fisher information of these four families of Rakhmanov distributions with respect to their respective weight functions.