Finite range decompositions of Gaussian fields with applications to level-set percolation

TL;DR

This paper establishes that a broad class of Gaussian fields possess a finite-range white noise decomposition with optimal decay, enabling sharp phase transition analysis in level-set percolation.

Contribution

It provides a new construction of finite-range decompositions for Gaussian fields, extending previous methods and answering open questions about their applicability.

Findings

Gaussian fields have finite-range decompositions with optimal decay.

Examples include Gaussian free field, membrane model, and mollified fields.

The construction refines Bauerschmidt's approach and introduces new ideas for discrete cases.

Abstract

In a recent work (arXiv:2206.10724), Muirhead has studied level-set percolation of (discrete or continuous) Gaussian fields, and has shown sharpness of the associated phase transition under the assumption that the field has a certain multiscale white noise decomposition, a variant of a finite-range decomposition. We show that a large class of Gaussian fields have such a white noise decomposition with optimal decay parameter. Examples include the discrete Gaussian free field, the discrete membrane model, and the mollified continuous Gaussian free field. This answers various questions from Muirhead's paper. Our construction of the white-noise decomposition is a refinement of Bauerschmidt's construction of finite-range decomposition. In the continuous setting our construction is very similar to Bauerschmidt's, while in the discrete setting several new ideas are needed, including the use of a result by P\'olya and Szeg\H{o} on polynomials that take positive values on the positive real line.