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Macroscopic behavior of Lipschitz random surfaces

Piet Lammers and Martin Tassy

Vol. 5 (2024), No. 1, 177–267
Abstract

The motivation for this article is to derive strict convexity of the surface tension for Lipschitz random surfaces, that is, for models of random Lipschitz functions from d to or . An essential innovation is that random surface models with nonpair interactions of long- and infinite-range are included in the analysis. More specifically, we cover at least: uniformly random graph homomorphisms from d to a k-regular tree for any k 2 and Lipschitz potentials which satisfy the FKG lattice condition. The latter includes perturbations of dimer- and six-vertex models and of Lipschitz simply attractive potentials introduced by Sheffield. The main result is that we prove strict convexity of the surface tension — which implies uniqueness for the limiting macroscopic profile — if the model of interest is monotone in the boundary conditions. This solves conjectures of Sheffield and of Menz and Tassy. Auxiliary to this, we prove several results which may be of independent interest, and which do not rely on the model being monotone. This includes existence and topological properties of the specific free energy, as well as a characterization of its minimizers. We also prove a general large deviations principle which describes both the macroscopic profile and the local statistics of the height functions. This work is inspired by, but independent of, Random surfaces by Sheffield.

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Keywords
surface tension, limit shapes, variational principle, large deviations principle, gradient Gibbs measures, entropy minimizers, ergodicity, stochastic monotonicity, six-vertex model, Lipschitz functions
Mathematical Subject Classification
Primary: 60F10, 82B20, 82B30, 82B41
Milestones
Received: 30 January 2023
Revised: 3 September 2023
Accepted: 20 September 2023
Published: 30 January 2024
Authors
Piet Lammers
Statistical Laboratory, Centre for Mathematical Sciences
University of Cambridge
Cambridge
United Kingdom
Martin Tassy
Department of Mathematics
Dartmouth College
Hanover, NH
United States