Rapid phase ordering for Ising and Potts dynamics on random regular graphs
Reza Gheissari, Allan Sly, Youngtak Sohn
TL;DR
This work proves rapid phase ordering for low-temperature Ising and Potts Glauber dynamics on random $d$-regular graphs. It shows that a modest initial bias toward a dominant phase leads to fast quasi-equilibration to the corresponding metastable conditional measure in time $O(\log n)$, despite the exponential worst-case mixing in the regime where multiple phases compete. The authors develop a novel spacetime framework, introduce minus spacetime clusters and a rigid dynamics to bound their growth with exponential tails, and couple these results to the Potts dynamics via a dominating two-spin process. These techniques yield biased-initialization results that hold with high probability for $d\ge 7$ and $\beta$ above a $d$-dependent threshold, and they extend to the Potts case with similar bounds and a potentially vanishing bias as $d$ grows, highlighting a robust mechanism for fast phase ordering in ferromagnetic models on random graphs.
Abstract
We consider the Ising, and more generally, $q$-state Potts Glauber dynamics on random $d$-regular graphs on $n$ vertices at low temperatures $β\gtrsim \frac{\log d}{d}$. The mixing time is exponential in $n$ due to a bottleneck between $q$ dominant phases consisting of configurations in which the majority of vertices are in the same state. We prove that for any $d\ge 7$, from biased initializations with $ε_d n$ more vertices in state-$1$ than in other states, the Glauber dynamics quasi-equilibrates to the stationary distribution conditioned on having plurality in state-$1$ in optimal $O(\log n)$ time. Moreover, the requisite initial bias $ε_d$ can be taken to zero as $d \to \infty$. Even for the $q=2$ Ising case, where the states are naturally identified with $\pm 1$, proving such a result requires a new approach in order to control negative information spread in spacetime despite the model being in low temperature and exhibiting strong local correlations. For this purpose, we introduce a coupled non-Markovian rigid dynamics for which a delicate temporal recursion on probability mass functions of minus spacetime cluster sizes establishes their subcriticality.
