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

Michele Ancona (1) , Thomas Letendre (2)

1 IRMA - Institut de Recherche Mathématique Avancée
2 LMO - Laboratoire de Mathématiques d'Orsay

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.

Mots clés: Central Limit Theorem; Law of Large Numbers; Kac-Rice formula; Complex Fubini-Study model; Kostlan polynomials; Method of moments

Domaines: Probabilités [math.PR]; Géométrie algébrique [math.AG]; Géométrie métrique [math.MG]

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