2018
DOI: 10.1016/j.aim.2018.03.026
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Variation of the Nazarov–Sodin constant for random plane waves and arithmetic random waves

Abstract: This is a manuscript containing the full proofs of results announced in [KW], together with some recent updates. We prove that the Nazarov-Sodin constant, which up to a natural scaling gives the leading order growth for the expected number of nodal components of a random Gaussian field, genuinely depends on the field. We then infer the same for "arithmetic random waves", i.e. random toral Laplace eigenfunctions. 1 arXiv:1707.00766v3 [math-ph]

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Cited by 25 publications
(38 citation statements)
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“…Nazarov-Sodin also obtained analogous results in higher dimensions and for Gaussian ensembles on manifolds [13]. In the case that f is not ergodic, it has been shown [10] (under the additional assumption that ρ has compact support) that the expected number of nodal components, scaled by the area, still converges, i.e.…”
Section: The Nazarov-sodin Constantmentioning
confidence: 63%
“…Nazarov-Sodin also obtained analogous results in higher dimensions and for Gaussian ensembles on manifolds [13]. In the case that f is not ergodic, it has been shown [10] (under the additional assumption that ρ has compact support) that the expected number of nodal components, scaled by the area, still converges, i.e.…”
Section: The Nazarov-sodin Constantmentioning
confidence: 63%
“…is the number of points on the nodal line of f normal to ζ; equivalently, N ζ (f ) is the number of nodal points of f in direction ±ξ := ζ ⊥ . The direction distribution carries a lot of information on the nodal line of f ; for example, the number of nodal components of f on T 2 essentially majorizes [25] the nodal count of f for every ζ, as every nodal component of f of trivial homology contains at least two points tangent to ξ, and it is usually easy to control the contribution of all the other components. For the N ζ (·) corresponding to toral Laplace eigenfunctions Rudnick and Wigman [32] gave the optimal upper bounds, as well as evaluated their total expected number for the associated Gaussian random model, "Arithmetic Random Waves" (1.7), precisely, appealing to the Kac-Rice method.…”
Section: 22mentioning
confidence: 99%
“…However, there exist [13,24] other weak- * partial limits of the sequence {ρ n } n∈S . It was established [23,36,25], that for the nodal structures of f n to exhibit a limit law, it is essential to divide S into subsequences whose corresponding ρ n obey a limiting distribution, i.e. take a subsequence {n} ⊆ S so that ρ n ⇒ τ for some probability measure τ on S 1 .…”
Section: 33mentioning
confidence: 99%
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“…More precisely, the authors relied on a result from semi‐classical analysis (see [, Theorem 2.3] in which the authors extend a result from ). Other works in this field are . All of the aforementioned works study parametric families of smooth functions false(fLfalse)L0 on a manifold of dimension n that vary at a natural scale L1/2 and that possess ‘local limits’.…”
Section: Introductionmentioning
confidence: 99%