Zero distribution of multiplicative Hermite and Laguerre polynomials
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 that, as , the zero distribution of converges weakly to the free multiplicative normal distribution on the positive half-line (when ) or to the free unitary normal distribution on the unit circle (when ). In the Laguerre case, we show that the zero distribution of converges to the free multiplicative Poisson distribution on the positive half-line (when and ) or on the unit circle (when and ). All these results are obtained by essentially the same method, which treats the Hermite/Laguerre cases and the unitary/positive settings in a unified way.
Keywords
Cite
@article{arxiv.2511.01456,
title = {Zero distribution of multiplicative Hermite and Laguerre polynomials},
author = {Zakhar Kabluchko},
journal= {arXiv preprint arXiv:2511.01456},
year = {2026}
}
Comments
25 pages, 1 figure