Abstract

The 2D Discrete Gaussian model gives each height function η:Z2→Zη: \mathbb{Z}^2\to\mathbb{Z} a probability proportional to exp⁡(−βH(η))\exp(-β\mathcal{H}(η)), where ββ is the inverse-temperature and H(η)=∑x∼y(ηx−ηy)2\mathcal{H}(η) = \sum_{x\sim y}(η_x-η_y)^2 sums over nearest-neighbor bonds. We consider the model at large fixed ββ, where it is flat unlike its continuous analog (the Gaussian Free Field). We first establish that the maximum height in an L×LL\times L box with 0 boundary conditions concentrates on two integers M,M+1M,M+1 with M∼(1/2πβ)log⁡Llog⁡log⁡LM\sim \sqrt{(1/2πβ)\log L\log\log L}. The key is a large deviation estimate for the height at the origin in Z2\mathbb{Z}^2, dominated by "harmonic pinnacles", integer approximations of a harmonic variational problem. Second, in this model conditioned on η≥0η\geq 0 (a floor), the average height rises, and in fact the height of almost all sites concentrates on levels H,H+1H,H+1 where H∼M/2H\sim M/\sqrt{2}. This in particular pins down the asymptotics, and corrects the order, in results of Bricmont, El-Mellouki and Fröhlich (1986), where it was argued that the maximum and the height of the surface above a floor are both of order log⁡L\sqrt{\log L}. Finally, our methods extend to other classical surface models (e.g., restricted SOS), featuring connections to pp-harmonic analysis and alternating sign matrices.

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