Real zeros of random trigonometric polynomials with dependent coefficients
J\"urgen Angst, Thibault Pautrel, Guillaume Poly

TL;DR
This paper studies the asymptotic behavior of the number of real zeros of random trigonometric polynomials with dependent Gaussian coefficients, revealing that the zero count depends on the spectral measure's density's vanishing set.
Contribution
It uncovers a surprising link between the zeros' asymptotics and the Lebesgue measure of the zero set of the spectral density, extending understanding beyond decay of correlation.
Findings
Asymptotic zero count depends on the measure of the zero set of spectral density.
When spectral density is positive almost everywhere, the zero count matches the independent case.
Under regularity conditions, convergence of zero count is almost sure.
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 \[ f_n(t):= \frac{1}{\sqrt{n}}\sum_{k=1}^{n}a_k \cos(kt)+b_k\sin(kt), ~x\in [0,2\pi], \] where the sequences and are two independent copies of a stationary Gaussian process centered with variance one and correlation function with associated spectral measure . We focus here on the case where is not purely singular and we denote by its density component with respect to the Lebesgue measure . Quite surprisingly, we show that the asymptotics of the number of real zeros of in is not related to the decay of…
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