English

A sprinkled decoupling inequality for Gaussian processes and applications

Probability 2023-07-18 v2

Abstract

We establish a sprinkled decoupling inequality for increasing events of Gaussian vectors with an error that depends only on the maximum pairwise correlation. As an application we prove the non-triviality of the percolation phase transition for Gaussian fields on Zd\mathbb{Z}^d or Rd\mathbb{R}^d with (i) uniformly bounded local suprema, and (ii) correlations which decay at least polylogarithmically in the distance with exponent γ>3\gamma > 3; this expands the scope of existing results on non-triviality of the phase transition, covering new examples such as non-stationary fields and monochromatic random waves.

Keywords

Cite

@article{arxiv.2302.06309,
  title  = {A sprinkled decoupling inequality for Gaussian processes and applications},
  author = {Stephen Muirhead},
  journal= {arXiv preprint arXiv:2302.06309},
  year   = {2023}
}

Comments

23 pages. Version accepted for publication in EJP

R2 v1 2026-06-28T08:38:41.858Z