English

A Semicircle Law for Derivatives of Random Polynomials

Probability 2020-05-21 v1 Classical Analysis and ODEs

Abstract

Let x1,,xnx_1, \dots, x_n be nn independent and identically distributed random variables with mean zero, unit variance, and finite moments of all remaining orders. We study the random polynomial pnp_n having roots at x1,,xnx_1, \dots, x_n. We prove that for N\ell \in \mathbb{N} fixed as nn \rightarrow \infty, the (n)(n-\ell)-th derivative of pnp_n^{} behaves like a Hermite polynomial: for xx in a compact interval,n/2!n!pn(n)(xn)He(x+γn),{n^{\ell/2}} \frac{\ell!}{n!} \cdot p_n^{(n-\ell)}\left( \frac{x}{\sqrt{n}}\right) \rightarrow He_{\ell}(x + \gamma_n), where HeHe_{\ell} is the \ell-th probabilists' Hermite polynomial and γn\gamma_n is a random variable converging to the standard N(0,1)\mathcal{N}(0,1) Gaussian as nn \rightarrow \infty. Thus, there is a universality phenomenon when differentiating a random polynomial many times: the remaining roots follow a Wigner semicircle distribution.

Keywords

Cite

@article{arxiv.2005.09809,
  title  = {A Semicircle Law for Derivatives of Random Polynomials},
  author = {Jeremy G. Hoskins and Stefan Steinerberger},
  journal= {arXiv preprint arXiv:2005.09809},
  year   = {2020}
}
R2 v1 2026-06-23T15:40:35.423Z