Critical points of random polynomials with independent identically distributed roots

preprint2012arXivOpen access

Abstract

Let X1,X2,...X_1,X_2,... be independent identically distributed random variables with values in $\C$. Denote by μμ the probability distribution of X1X_1. Consider a random polynomial Pn(z)=(z−X1)...(z−Xn)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:=1n−1∑Pn′(z)=0δzμ_n:=\frac 1{n-1}\sum_{P_n'(z)=0} δ_z counting the complex zeros of the derivative Pn′P_n' converges in probability to μμ, as n→∞n\to\infty.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.