Critical point asymptotics for Gaussian random waves with densities of any Sobolev regularity
Alberto Enciso, Daniel Peralta-Salas, \'Alvaro Romaniega

TL;DR
This paper investigates how the regularity of Gaussian random waves affects the asymptotic growth of their critical points, revealing a transition from area to diameter growth depending on the Sobolev regularity parameter.
Contribution
It establishes a detailed connection between Fourier transform regularity and critical point asymptotics, including phase transitions and precise asymptotic expansions for Bessel series.
Findings
Critical points grow like area for low regularity ($s<1.5$).
Critical points grow like diameter for high regularity ($s>2.5$).
At intermediate regularity, growth transitions linearly with radius.
Abstract
We consider Gaussian random monochromatic waves on the plane depending on a real parameter that is directly related to the regularity of its Fourier transform. Specifically, the Fourier transform of is , where is the Hausdorff measure on the unit circle and the density is a function on the circle that, roughly speaking, has exactly derivatives in almost surely. When , one recovers the classical setting for random waves with a translation-invariant covariance-kernel. The main thrust of this paper is to explore the connection between the regularity parameter and the asymptotic behavior of the number of critical points that are contained in the disk of radius . More precisely, we show that the expectation grows like the area of the disk when the regularity is low enough…
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Taxonomy
TopicsGeometry and complex manifolds
