Open Access
2025 Homogenization of the variational principle for discrete random maps
Andrew Krieger, Georg Menz, Martin Tassy
Author Affiliations +
Electron. J. Probab. 30: 1-52 (2025). DOI: 10.1214/24-EJP1236

Abstract

We consider homogenization of random surfaces and study the variational principle for graph homomorphisms from subsets of Zm into Z, where the underlying uniform measure is perturbed by a random potential. Motivated by the theories of random walks in random potentials, we assume that random potential is stationary, ergodic, and bounded in L1. We show that the variational principle holds in probability and that the entropy functional homogenizes, i.e. is independent of the values taken by the random potential. The main ingredients in the argument are the existence of the quenched surface tension, the equivalence of the quenched and the annealed surface tension, and robustness of the surface tension under change in boundary data. These ingredients are deduced by a combination of a superadditive ergodic theorem and combinatorial results, especially the Kirszbraun theorem.

Funding Statement

This work has been partially supported by NSF award DMS-1954343.

Dedication

Dedicated to the memory of Thomas Ligget

Acknowledgments

The authors want to thank Tim Austin, Nathanaël Berestycki, Marek Biskup, Antoine Gloria, Michelle Ledoux, Thomas Liggett, Igor Pak, Larent Saloff-Coste, and Tianyi Zheng for the many discussions on this topic.

Citation

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Andrew Krieger. Georg Menz. Martin Tassy. "Homogenization of the variational principle for discrete random maps." Electron. J. Probab. 30 1 - 52, 2025. https://doi.org/10.1214/24-EJP1236

Information

Received: 26 October 2020; Accepted: 23 October 2024; Published: 2025
First available in Project Euclid: 6 January 2025

arXiv: 1710.11330
Digital Object Identifier: 10.1214/24-EJP1236

Subjects:
Primary: 82B20 , 82B30 , 82B41
Secondary: 60J10

Keywords: Entropy , Homogenization‎ , Limit shapes , local surface tension , Random surfaces , subadditive ergodic theorem , variational principles

Vol.30 • 2025
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