Harmonic pinnacles in the Discrete Gaussian model
Eyal Lubetzky, Fabio Martinelli, Allan Sly

TL;DR
This paper analyzes the 2D Discrete Gaussian model at large inverse temperature, establishing the typical maximum height, the effect of a floor on average height, and connecting these findings to harmonic analysis and other surface models.
Contribution
It introduces the concept of harmonic pinnacles to describe height deviations and provides precise asymptotics for maximum and average heights, correcting previous conjectures.
Findings
Maximum height concentrates on two integers with a specific asymptotic form.
Average height with a floor concentrates on two levels, scaling with the maximum height.
Methods extend to other surface models, linking to harmonic analysis and combinatorics.
Abstract
The 2D Discrete Gaussian model gives each height function a probability proportional to , where is the inverse-temperature and sums over nearest-neighbor bonds. We consider the model at large fixed , where it is flat unlike its continuous analog (the Gaussian Free Field). We first establish that the maximum height in an box with 0 boundary conditions concentrates on two integers with . The key is a large deviation estimate for the height at the origin in , dominated by "harmonic pinnacles", integer approximations of a harmonic variational problem. Second, in this model conditioned on (a floor), the average height rises, and in fact the height of almost all sites…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
