2018
DOI: 10.1093/imrn/rny267
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Random Eigenfunctions on Flat Tori: Universality for the Number of Intersections

Abstract: We show that several statistics of the number of intersections between random eigenfunctions of general eigenvalues with a given smooth curve in flat tori are universal under various families of randomness.2010 Mathematics Subject Classification. 15A52,11B25, 60C05, 60G50. Key words and phrases. arithmetic random waves, universality phenomenon, arithmetic progressions. M. C.

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Cited by 8 publications
(8 citation statements)
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“…Other than the result for 2d random trigonometric polynomials all the literature concerning real zeros of non-Gaussian ensembles is 1-dimensional in essence: real zeros of random algebraic polynomials or Taylor series, see e.g. [22,23,42] and the references therein, random trigonometric polynomials on the circle [3], and the restrictions of 2d random toral Laplace eigenfunctions (2.1) to a smooth curve [14].…”
Section: Discussionmentioning
confidence: 99%
“…Other than the result for 2d random trigonometric polynomials all the literature concerning real zeros of non-Gaussian ensembles is 1-dimensional in essence: real zeros of random algebraic polynomials or Taylor series, see e.g. [22,23,42] and the references therein, random trigonometric polynomials on the circle [3], and the restrictions of 2d random toral Laplace eigenfunctions (2.1) to a smooth curve [14].…”
Section: Discussionmentioning
confidence: 99%
“…(1) Our starting point is an input from [11] which shows that EZ(F ) is close to E g Z(F ) and Z(F ) is moderately concentrated around its mean.…”
Section: Supporting Lemmas and Proof Methodsmentioning
confidence: 99%
“…Let ε be given as in Theorem 1.11. Assume that the parameters R, α, β, τ are chosen as in (10), (11) and (13). Assume that there are δλ disjoint intervals I of length R/λ over which there are at least ελ/2 roots, then there exist a measurable set A ⊂ [0, 1] of measure at least cε/4 over which…”
Section: Roots Over Unstable Intervalsmentioning
confidence: 99%
“…The price to pay is to control the smooth Wasserstein distance between the sequence of their Malliavin covariance matrices and its limit, that however does not need to be the Malliavin covariance matrix of the limit. Remarkably, this technique requires neither the sequence of random variables of interest to be functionals of a Gaussian field nor the limit law to be Normal, situations that naturally occur since the underlying randomness may be not Gaussian [BCP19,CNN20] or related functionals may show non-Normal second order fluctuations [MPRW16].…”
Section: Introductionmentioning
confidence: 99%