Complexity analysis of hypergeometric orthogonal polynomials
Abstract
The complexity measures of the Cr\'amer-Rao, Fisher-Shannon and LMC (L\'opez-Ruiz, Mancini and Calvet) types of the Rakhmanov probability density of the polynomials orthogonal with respect to the weight function , , are used to quantify various two-fold facets of the spreading of the Hermite, Laguerre and Jacobi systems all over their corresponding orthogonality intervals in both analytical and computational ways. Their explicit (Cr\'amer-Rao) and asymptotical (Fisher-Shannon, LMC) values are given for the three systems of orthogonal polynomials. Then, these complexity-type mathematical quantities are numerically examined in terms of the polynomial's degree and the parameters which characterize the weight function. Finally, several open problems about the generalised hypergeometric functions of Lauricella and Srivastava-Daoust types, as well as on the asymptotics of weighted -norms of Laguerre and Jacobi polynomials are pointed out.
Cite
@article{arxiv.1408.4698,
title = {Complexity analysis of hypergeometric orthogonal polynomials},
author = {J. S. Dehesa and A. Guerrero and P. Sánchez-Moreno},
journal= {arXiv preprint arXiv:1408.4698},
year = {2015}
}
Comments
15 pages, 6 figures