Zero distribution of multiplicative Hermite and Laguerre polynomials
Zakhar Kabluchko

TL;DR
This paper investigates the asymptotic zero distributions of multiplicative Hermite and Laguerre polynomials, revealing their convergence to various free multiplicative distributions on the positive line or the unit circle.
Contribution
It introduces multiplicative analogues of Hermite and Laguerre polynomials and establishes their zero distribution convergence to free multiplicative laws, unifying different cases with a common method.
Findings
Zero distributions of multiplicative Hermite polynomials converge to free multiplicative normal laws.
Zero distributions of multiplicative Laguerre polynomials converge to free multiplicative Poisson laws.
Results unify Hermite and Laguerre cases in a common analytical framework.
Abstract
It is well-known that, as , the zero distribution of the -th Hermite polynomial converges to the semicircular law (the free normal distribution), while the zero distribution of the associated Laguerre polynomials converges to the Marchenko--Pastur law (the free Poisson distribution). In this paper, we establish multiplicative analogues of these results. We define the multiplicative Hermite and Laguerre polynomials by \begin{align*} H_n^*(x;s) &:= e^{-\frac 12 s ((x\partial_x)^2 - n x \partial_x) } (x-1)^n = \sum_{j=0}^n (-1)^{n-j} \binom nj e^{-\frac 12 s (j^2 - nj)} x^j, \\ L_n^*(x; b,c) &:= (x\partial_x + b)^c (x-1)^n = \sum_{j=0}^n (-1)^{n-j} \binom nj (j+b)^c x^j, \end{align*} where , denotes the differentiation operator w.r.t. , and , , are parameters. In the Hermite case, we show…
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Taxonomy
TopicsMathematical functions and polynomials · Random Matrices and Applications · Advanced Mathematical Identities
