March 2023 Thermodynamic and scaling limits of the non-Gaussian membrane model
Eric Thoma
Author Affiliations +
Ann. Probab. 51(2): 626-664 (March 2023). DOI: 10.1214/22-AOP1609

Abstract

We characterize the behavior of a random discrete interface ϕ on [L,L]dZd with energy V(Δϕ(x)) as L, where Δ is the discrete Laplacian and V is a uniformly convex, symmetric, and smooth potential. The interface ϕ is called the non-Gaussian membrane model. By analyzing the Helffer–Sjöstrand representation, associated to Δϕ, we provide a unified approach to continuous scaling limits of the rescaled and interpolated interface in dimensions d=2,3, Gaussian approximation in negative regularity spaces for all d2, and the infinite volume limit in d5.

Funding Statement

The author was partially supported by NSF Grant DMS-2000205.

Citation

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Eric Thoma. "Thermodynamic and scaling limits of the non-Gaussian membrane model." Ann. Probab. 51 (2) 626 - 664, March 2023. https://doi.org/10.1214/22-AOP1609

Information

Received: 1 January 2022; Revised: 1 August 2022; Published: March 2023
First available in Project Euclid: 9 February 2023

MathSciNet: MR4546628
zbMATH: 1512.82016
Digital Object Identifier: 10.1214/22-AOP1609

Subjects:
Primary: 60F05 , 82B20
Secondary: 35Q82

Keywords: Helffer–Sjöstrand equation , membrane model , random interface , Scaling limit

Rights: Copyright © 2023 Institute of Mathematical Statistics

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Vol.51 • No. 2 • March 2023
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