English

Percolation of strongly correlated Gaussian fields II. Sharpness of the phase transition

Probability 2023-11-16 v2

Abstract

We establish the sharpness of the phase transition for a wide class of Gaussian percolation models, on Zd\mathbb{Z}^d or Rd\mathbb{R}^d, d2d \ge 2, with correlations decaying at least algebraically with exponent α>0\alpha > 0, including the discrete Gaussian free field (d3,α=d2d \ge 3, \alpha = d-2), the discrete Gaussian membrane model (d5,α=d4d \ge 5, \alpha = d - 4), and many other examples both discrete and continuous. In particular we do not assume positive correlations. This result is new for all strongly correlated models (i.e. α(0,d]\alpha \in (0,d]) in dimension d3d \ge 3 except the Gaussian free field, for which sharpness was proven in a recent breakthrough by Duminil-Copin, Goswami, Rodriguez and Severo; even then, our proof is simpler and yields new near-critical information on the percolation density. For planar fields which are continuous and positively-correlated, we establish sharper bounds on the percolation density by exploiting a new `weak mixing' property for strongly correlated Gaussian fields. As a byproduct we establish the box-crossing property for the nodal set, of independent interest. This is the second in a series of two papers studying level-set percolation of strongly correlated Gaussian fields, which can be read independently.

Keywords

Cite

@article{arxiv.2206.10724,
  title  = {Percolation of strongly correlated Gaussian fields II. Sharpness of the phase transition},
  author = {Stephen Muirhead},
  journal= {arXiv preprint arXiv:2206.10724},
  year   = {2023}
}

Comments

39 pages. Version to appear in Ann. Probab