Cutoff for the Glauber-Exclusion process in the full high-temperature regime: an information percolation approach
Hong-Quan Tran

TL;DR
This paper establishes cutoff phenomena for the Glauber-Exclusion process in high-temperature regimes using an information percolation approach, linking hydrodynamic limits to mixing times in low-dimensional lattice systems.
Contribution
It introduces a novel application of the information percolation framework to analyze cutoff in the Glauber-Exclusion process, including explicit invariant measure and spectral gap results.
Findings
Cutoff occurs in the high-temperature regime for dimensions 1 and 2.
Explicit formula for the invariant measure is derived.
Pre-cutoff is established in all dimensions.
Abstract
The Glauber-Exclusion process is a superposition of a Glauber dynamics and the Symmetric Simple Exclusion Process (SSEP) on the lattice. The model was shown to admit a reaction-diffusion equation as the hydrodynamic limit. In this article, we define a notion of temperature regimes via the reaction function in the equation and prove cutoff in the full high-temperature regime for the attractive model in dimensions and with periodic boundary condition. Our results show that the equation in the hydrodynamic limit reflects the mixing behavior of the large but finite system. Besides, cutoff is proved under the lack of reversibility and an explicit formula for the invariant measure. We also provide the spectral gap and prove pre-cutoff in all dimensions. Our proof involves a new interpretation of attractiveness, the information percolation framework introduced by Lubetzky and Sly,…
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
