A simple proof of rapid mixing on random regular graphs beyond uniqueness
Abstract
A recent breakthrough of Chen, Chen, Chen, Yin, and Zhang shows rapid mixing for Glauber dynamics for the hard-core model on random regular graphs beyond the tree uniqueness threshold. Their approach builds upon the literature of various local-to-global techniques and applies to a more general setting of discrete distributions supported on downward-closed set families. We give a short and self-contained proof via a Bochner--Bakry--Émery approach and directly show a Poincaré inequality by expanding the Dirichlet form in terms of the L2-norm of the generator applied to a test function and eliminating a sum of squares term. Our proof is a streamlined version of an argument of Kondratiev, Kuna, and Ohlerich used to study spatial birth-and-death dynamics for Gibbs point processes in the continuum, which we adapt to the discrete setting.
Related
- Rapid Mixing for Sampling Colorings of Random Graphs up to Tree Uniqueness Threshold
- Near linear mixing of random-cluster Glauber dynamics on random regular graphs
- Mixing time of the lazy and simple random walk on a randomly twisted hypercube
- Edge universality of random regular graphs of growing degrees
- When are random regular triangle-free graphs bipartite?
BibTeX
@misc{gobel2026simple,
title = {{A simple proof of rapid mixing on random regular graphs beyond uniqueness}},
author = {Andreas Göbel and Matthew Jenssen and Marcus Michelen and Marcus Pappik and Will Perkins and Leon Schiller},
howpublished = {arXiv (Cornell University)},
year = {2026},
month = jun,
doi = {10.48550/arxiv.2606.27545},
url = {https://arxiv.org/abs/2606.27545},
note = {CC BY},
}
RIS
TY - UNPB
TI - A simple proof of rapid mixing on random regular graphs beyond uniqueness
AU - Andreas Göbel
AU - Matthew Jenssen
AU - Marcus Michelen
AU - Marcus Pappik
AU - Will Perkins
AU - Leon Schiller
PY - 2026
DA - 2026/06/25
PB - arXiv (Cornell University)
DO - 10.48550/arxiv.2606.27545
UR - https://arxiv.org/abs/2606.27545
AB - A recent breakthrough of Chen, Chen, Chen, Yin, and Zhang shows rapid mixing for Glauber dynamics for the hard-core model on random regular graphs beyond the tree uniqueness threshold. Their approach builds upon the literature of various local-to-global techniques and applies to a more general setting of discrete distributions supported on downward-closed set families. We give a short and self-contained proof via a Bochner--Bakry--Émery approach and directly show a Poincaré inequality by expanding the Dirichlet form in terms of the L^2-norm of the generator applied to a test function and eliminating a sum of squares term. Our proof is a streamlined version of an argument of Kondratiev, Kuna, and Ohlerich used to study spatial birth-and-death dynamics for Gibbs point processes in the continuum, which we adapt to the discrete setting.
SN - 2331-8422
ER -