May 2024 Percolation of strongly correlated Gaussian fields II. Sharpness of the phase transition
Stephen Muirhead
Author Affiliations +
Ann. Probab. 52(3): 838-881 (May 2024). DOI: 10.1214/23-AOP1673

Abstract

We establish the sharpness of the phase transition for a wide class of Gaussian percolation models, on Zd or Rd, d2, with correlations decaying at least algebraically with exponent α>0, including the discrete Gaussian free field (d3, α=d2), the discrete Gaussian membrane model (d5, α=d4), 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]) in dimension d3 except the Gaussian free field, for which sharpness was proven in a recent breakthrough by Duminil-Copin et al. (Duke Math. J. 172 (2023) 839–913); 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.

Funding Statement

The author was supported by the Australian Research Council (ARC) Discovery Early Career Researcher Award DE200101467.

Acknowledgments

The author would like to thank Roland Bauerschmidt, Vivek Dewan, Alexis Prévost, Franco Severo and Hugo Vanneuville for helpful discussions, Franco for pointing out the references [12, 6], and an anonymous referee for valuable feedback on an earlier version.

Part of this research was undertaken while the author was visiting the Statistical Laboratory at the University of Cambridge, and we thank the University for its hospitality.

Citation

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Stephen Muirhead. "Percolation of strongly correlated Gaussian fields II. Sharpness of the phase transition." Ann. Probab. 52 (3) 838 - 881, May 2024. https://doi.org/10.1214/23-AOP1673

Information

Received: 1 July 2022; Revised: 1 October 2023; Published: May 2024
First available in Project Euclid: 23 April 2024

Digital Object Identifier: 10.1214/23-AOP1673

Subjects:
Primary: 60G60 , 60K35

Keywords: Gaussian fields , percolation , strongly correlated systems

Rights: Copyright © 2024 Institute of Mathematical Statistics

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Vol.52 • No. 3 • May 2024
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