Distribution of the roots of Eulerian polynomials
Paul Melotti

TL;DR
This paper proves that the roots of Eulerian polynomials asymptotically follow a log-Cauchy distribution by analyzing their moments, which become constant and relate to Cauchy numbers of the second kind.
Contribution
It provides a new proof of the root distribution convergence and links the moments of roots to Cauchy numbers, revealing their asymptotic behavior.
Findings
Roots' empirical measures converge to a log-Cauchy distribution.
Moments of roots become constant and are expressed via Cauchy numbers.
Asymptotic root distribution is characterized mathematically.
Abstract
We give a new proof that the empirical measures of the roots of Eulerian polynomials converge to a certain log-Cauchy distribution. To do so, we show that each moment of the roots of a related family of polynomials not only converge, but in fact become ultimately constant. These asymptotic moments are expressed in terms of Cauchy numbers of the second kind.
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Taxonomy
TopicsAdvanced Mathematical Identities · Functional Equations Stability Results · Advanced Combinatorial Mathematics
