Skip to Main content Skip to Navigation
Journal articles

Roots of Kostlan polynomials: moments, strong Law of Large Numbers and Central Limit Theorem

Abstract : We study the number of real roots of a Kostlan random polynomial of degree $d$ in one variable. More generally, we are interested in the distribution of the counting measure of the set of real roots of such a polynomial. We compute the asymptotics of the central moments of any order of these random variables, in the large degree limit. As a consequence, we prove that these quantities satisfy a strong Law of Large Numbers and a Central Limit Theorem. In particular, the real roots of a Kostlan polynomial almost surely equidistribute as the degree diverges. Moreover, the fluctuations of the counting measure of this random set around its mean converge in distribution to the Gaussian White Noise. More generally, our results hold for the real zeros of a random real section of a line bundle of degree d over a real projective curve, in the complex Fubini--Study model.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-02380440
Contributor : Thomas Letendre Connect in order to contact the contributor
Submitted on : Monday, December 6, 2021 - 1:15:34 PM
Last modification on : Tuesday, January 4, 2022 - 6:42:57 AM

Files

Roots of Kostlan polynomials m...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NoDerivatives 4.0 International License

Identifiers

Collections

Citation

Michele Ancona, Thomas Letendre. Roots of Kostlan polynomials: moments, strong Law of Large Numbers and Central Limit Theorem. Annales Henri Lebesgue, UFR de Mathématiques - IRMAR, 2021, 4, pp.1659-1703. ⟨10.5802/ahl.113⟩. ⟨hal-02380440v3⟩

Share

Metrics

Les métriques sont temporairement indisponibles