Real zeros of random trigonometric polynomials with dependent coefficients

Author:

Angst Jürgen,Pautrel Thibault,Poly Guillaume

Abstract

We further investigate the relations between the large degree asymptotics of the number of real zeros of random trigonometric polynomials with dependent coefficients and the underlying correlation function. We consider trigonometric polynomials of the form \[ f n ( t ) 1 n k = 1 n a k cos ( k t ) + b k sin ( k t ) ,   x [ 0 , 2 π ] , f_n(t)≔\frac {1}{\sqrt {n}}\sum _{k=1}^{n}a_k \cos (kt)+b_k\sin (kt), ~x\in [0,2\pi ], \] where the sequences ( a k ) k 1 (a_k)_{k\geq 1} and ( b k ) k 1 (b_k)_{k\geq 1} are two independent copies of a stationary Gaussian process centered with variance one and correlation function ρ \rho with associated spectral measure μ ρ \mu _{\rho } . We focus here on the case where μ ρ \mu _{\rho } is not purely singular and we denote by ψ ρ \psi _{\rho } its density component with respect to the Lebesgue measure λ \lambda . Quite surprisingly, we show that the asymptotics of the number of real zeros N ( f n , [ 0 , 2 π ] ) \mathcal {N}(f_n,[0,2\pi ]) of f n f_n in [ 0 , 2 π ] [0,2\pi ] is not related to the decay of the correlation function ρ \rho but instead to the Lebesgue measure of the vanishing locus of ψ ρ \psi _{\rho } . Namely, assuming that ψ ρ \psi _{\rho } is C 1 \mathcal {C}^1 with Hölder derivative on an open set of full measure, one establishes that \[ lim n + E [ N ( f n , [ 0 , 2 π ] ) ] n = λ ( { ψ ρ = 0 } ) π 2 + 2 π λ ( { ψ ρ = 0 } ) π 3 . \lim _{n \to +\infty } \frac {\mathbb {E}\left [\mathcal {N}(f_n,[0,2\pi ])\right ]}{n}= \frac {\lambda (\{\psi _{\rho }=0\})}{\pi \sqrt {2}} + \frac {2\pi - \lambda (\{\psi _{\rho }=0\})}{\pi \sqrt {3}}. \] On the other hand, assuming a sole log-integrability condition on ψ ρ \psi _{\rho } , which implies that it is positive almost everywhere, we recover the asymptotics of the independent case: \[ lim n + E [ N ( f n , [ 0 , 2 π ] ) ] n = 2 3 . \lim _{n \to +\infty } \frac {\mathbb {E}\left [\mathcal {N}(f_n,[0,2\pi ])\right ]}{n}= \frac {2}{\sqrt {3}}. \] The latter asymptotics thus broadly generalizes the main result of Angst, Dalmao, and Poly [Proc. Amer. Math. Soc. 147 (2019), pp. 205–214] where the spectral density was assumed to be continuous and bounded from below. Besides, with further assumptions of regularity and existence of negative moment for ψ ρ \psi _{\rho } , which encompass e.g. the case of random coefficients being increments of fractional Brownian motion with any Hurst parameter, we moreover show that the above convergence in expectation can be strengthened to an almost sure convergence.

Funder

Agence Nationale de la Recherche

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,General Mathematics

Reference23 articles.

1. On the real zeros of random trigonometric polynomials with dependent coefficients;Angst, Jürgen;Proc. Amer. Math. Soc.,2019

2. [AP15] Jürgen Angst and Guillaume Poly, Universality of the mean number of real zeros of random trigonometric polynomials under a weak Cramér condition, arXiv:1511.08750, 2015.

3. Variations on Salem-Zygmund results for random trigonometric polynomials: application to almost sure nodal asymptotics;Angst, Jürgen;Electron. J. Probab.,2021

4. Level Sets and Extrema of Random Processes and Fields

5. Pure and Applied Mathematics, Vol. 40;Butzer, Paul L.,1971

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