Random Lozenge Waterfall: Dimensional Collapse of Gibbs Measures
Alisa Knizel, Leonid Petrov

TL;DR
This paper studies the asymptotic behavior of lozenge tilings under fixed-q conditions, revealing a new phase called the waterfall where Gibbs measures collapse into a one-dimensional barcode, with conjectured explicit correlation kernels.
Contribution
It introduces the fixed-q regime for lozenge tilings, uncovers the waterfall phase, and provides a law of large numbers, exponential concentration, and conjectures on correlation kernels, extending spectral methods.
Findings
Discovery of the waterfall phase where Gibbs measures collapse
Convergence of tilings to a deterministic waterfall profile
Support for conjectured correlation kernel with numerical evidence
Abstract
We investigate the asymptotic behavior of the q-Racah probability measure on lozenge tilings of a hexagon whose side lengths scale linearly with a large parameter , while the parameters and remain fixed. This regime differs fundamentally from the traditional case , in which random tilings are locally governed by two-dimensional translation-invariant ergodic Gibbs measures. In the fixed-q regime we uncover a new macroscopic phase, the waterfall (previously only observed experimentally), where the two-dimensional Gibbs structure collapses into a one-dimensional random stepped interface that we call a barcode. We prove a law of large numbers and exponential concentration, showing that the random tilings converge to a deterministic waterfall profile. We further conjecture an explicit correlation kernel of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
