Invariant Gaussian fields on homogeneous spaces: explicit constructions and mean nodal volume

TL;DR

This paper provides explicit constructions of invariant Gaussian fields on homogeneous spaces using representation theory and derives a universal formula for the expected size of their zero-sets, independent of specific symmetries.

Contribution

It offers explicit descriptions of invariant Gaussian fields via representation theory and establishes a universal mean nodal volume formula applicable across various symmetric fields.

Findings

Explicit constructions of invariant Gaussian fields using special functions.

Universal constant for mean zero-set size depending only on dimensions.

Extension of previous 2D results to higher-dimensional spaces.

Abstract

We review and study some of the properties of smooth Gaussian random fields defined on a homogeneous space, under the assumption that the probability distribution is invariant under the isometry group of the space. We first give an exposition, building on early results of Yaglom, of the way in which representation theory and the associated special functions make it possible to give completely explicit descriptions of these fields in many cases of interest. We then turn to the expected size of the zero-set: extending two-dimensional results from Optics and Neuroscience, we show that every invariant field comes with a natural unit of volume (defined in terms of the geometrical redundancies in the field) with respect to which the average size of the zero-set is given by a universal constant depending only on the dimension of the source and target spaces, and not on the precise symmetry exhibited by the field.