English

Critical points of random polynomials with independent identically distributed roots

Probability 2012-10-02 v2 Complex Variables

Abstract

Let X1,X2,...X_1,X_2,... be independent identically distributed random variables with values in \C\C. Denote by μ\mu the probability distribution of X1X_1. Consider a random polynomial Pn(z)=(zX1)...(zXn)P_n(z)=(z-X_1)...(z-X_n). We prove a conjecture of Pemantle and Rivin [arXiv:1109.5975] that the empirical measure μn:=1n1Pn(z)=0δz\mu_n:=\frac 1{n-1}\sum_{P_n'(z)=0} \delta_z counting the complex zeros of the derivative PnP_n' converges in probability to μ\mu, as nn\to\infty.

Keywords

Cite

@article{arxiv.1206.6692,
  title  = {Critical points of random polynomials with independent identically distributed roots},
  author = {Zakhar Kabluchko},
  journal= {arXiv preprint arXiv:1206.6692},
  year   = {2012}
}

Comments

8 pages

R2 v1 2026-06-21T21:27:27.336Z