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arXiv · 1410.2286

Discrete Entropy of Generalized Jacobi Polynomials

Abstract

Given a sequence of orthonormal polynomials on $\Bbb R$,$\{p_n\}_{n\geq 0}$, with $p_n$ of degree $n$, we define the discrete probability distribution $Ψ_n(x) = \left(Ψ_{n,1}(x), \dots Ψ_{n,n}(x) \right) $, with $Ψ_{n,j}(x) = \big(\sum_{j=0}^{n-1} p_j^2(x)\big)^{-1} p_{j-1}^2(x)$, $j=1, \dots, n$. In this paper, we study the asymptotic behavior as $n\to \infty$ of the Shannon entropy $\mathcal S ((Ψ_n(x))= -\sum_{j=1}^n Ψ_{n,j}(x) \log (Ψ_{n,j}(x))$, $x\in (-1,1)$, when the orthogonality weight is $ (1-x)^α\, (1+x)^β\, h(x) $, $α, β> -1$, and where $h$ is real, analytic, and positive on $[-1,1]$. We show that the limit $$ \lim_{n \to \infty} \left(\mathcal{S} ((Ψ_n(x))- \log n\right) $$ exists for all $x\in (-1,1)$, but its value depends on the rationality of $\arccos(x)/π$. For the particular case of the Chebyshev polynomials of the first and second kinds, we compare our asymptotic result with the explicit formulas for $\mathcal{S} (Ψ_n(ζ_j^{(n)}))$, where $\{ζ_j^{(n)}\}$ are the zeros of $p_n$, obtained previously in [A.I. Aptekarev, J.S. Dehesa, A. Martinez-Finkelshtein, and R. Yañez, Constr. Approx., 30 (2009), pp. 93-119].

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BibTeXRIS

Andrei Martinez-Finkelshtein, Paul Nevai, Ana Peña. 2015-05-30. Discrete Entropy of Generalized Jacobi Polynomials. https://doi.org/10.1016/j.jmaa.2015.05.062

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