Roots of random polynomials whose coefficients have logarithmic tails

preprint2013arXivOpen access

Abstract

It has been shown by Ibragimov and Zaporozhets [In Prokhorov and Contemporary Probability Theory (2013) Springer] that the complex roots of a random polynomial Gn(z)=∑k=0nξkzkG_n(z)=\sum_{k=0}^nξ_kz^k with i.i.d. coefficients ξ0,…,ξnξ_0,\ldots,ξ_n concentrate a.s. near the unit circle as n→∞n\to\infty if and only if Elog⁡+∣ξ0∣<∞{\mathbb{E}\log_+}|ξ_0|<\infty. We study the transition from concentration to deconcentration of roots by considering coefficients with tails behaving like L(log⁡∣t∣)(log⁡∣t∣)−αL({\log}|t|)({\log}|t|)^{-α} as t→∞t\to\infty, where α≥0α\geq0, and LL is a slowly varying function. Under this assumption, the structure of complex and real roots of GnG_n is described in terms of the least concave majorant of the Poisson point process on [0,1]×(0,∞)[0,1]\times (0,\infty) with intensity αv−(α+1) du dvαv^{-(α+1)}\,du\,dv.

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