Coarsening with a frozen vertex
M. Damron, H. Kogan, C.M. Newman, V. Sidoravicius

TL;DR
This paper investigates a modified coarsening model on a 2D lattice where one vertex is permanently frozen, demonstrating that all other vertices still flip infinitely often despite this constraint.
Contribution
It introduces and analyzes a new variant of the coarsening model with a frozen vertex, showing that infinite flipping persists for all other sites.
Findings
All other vertices flip infinitely often despite the frozen vertex.
The proof uses stochastic domination and influence propagation techniques.
The model extends understanding of coarsening dynamics with fixed boundary conditions.
Abstract
In the standard nearest-neighbor coarsening model with state space and initial state chosen from symmetric product measure, it is known (see~\cite{NNS}) that almost surely, every vertex flips infinitely often. In this paper, we study the modified model in which a single vertex is frozen to for all time, and show that every other site still flips infinitely often. The proof combines stochastic domination (attractivity) and influence propagation arguments.
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
