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 or with (i) uniformly bounded local suprema, and (ii) correlations which decay at least polylogarithmically in the distance with exponent ; 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.
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