Spectral Criteria for the Asymptotics of Local Functionals of Gaussian Fields and Their Application to Nodal Volumes and Critical Points

TL;DR

This paper introduces a spectral criterion for analyzing the variance of local functionals of Gaussian fields, enabling simpler proofs of asymptotic behaviors for nodal volumes and critical points, with broad applicability.

Contribution

It provides a new spectral-based criterion for variance positivity that simplifies the analysis of local Gaussian functionals and extends to various models and functionals.

Findings

Proved positivity of limiting variance for nodal volume and critical points.

Derived central limit theorems for Euclidean random waves.

Unified and generalized existing results on Gaussian field functionals.

Abstract

We establish a general criterion for the positivity of the variance of a chaotic component of local functionals of stationary vector-valued Gaussian fields. This criterion is formulated in terms of the spectral properties of the covariance function, without requiring integrability or isotropy. It offers a simple and robust framework for analyzing variance asymptotics in such models. We apply this approach to the study of the nodal volume and the number of critical points of a Gaussian field, proving the positivity of the limiting variance under mild conditions on the covariance function. Additionally, we examine the asymptotics of nodal volume and critical points of Euclidean random waves, deriving the central limit theorem through an analysis of the second and fourth chaotic components. As a byproduct, we unify and generalize many existing results on the volume of intersections of random waves and their critical points, bypassing the need for traditional, intricate variance computations. Our findings shed new light on the second-chaos cancellation phenomenon from a spectral perspective and can be extended to any local, possibly singular, functional of Gaussian fields.