Cutoff for congestion dynamics and related generalized exclusion processes

Fuente: arXiv
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Auteur principal: Tanaka, Ryokichi
Format: Preprint
Publié: 2025
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author Tanaka, Ryokichi
author_facet Tanaka, Ryokichi
contents We consider congestion dynamics with $n$ players and $Q$ resources under the constraint that the number of each resource is $κ$ and that $n<κQ$ in the regime that $n$ and $κ$ diverge but $Q$ is fixed with $n=\lfloor{ρκQ\rfloor}$ for a fixed constant $ρ\in (0, 1/2]$. We show that the Glauber dynamics and its unlabeled version exhibit cutoff at time $(1/2)n \log n$ and $(1/2)(1-ρ)n\log n$ in total variation respectively. The unlabeled version is a special case of natural Markov chains for sampling from log M-concave distributions. We also show that a family of Markov chains for uniform sampling on M-convex sets does not necessarily exhibit cutoff.
format Preprint
id arxiv_https___arxiv_org_abs_2502_06071
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Cutoff for congestion dynamics and related generalized exclusion processes
Tanaka, Ryokichi
Probability
Discrete Mathematics
We consider congestion dynamics with $n$ players and $Q$ resources under the constraint that the number of each resource is $κ$ and that $n<κQ$ in the regime that $n$ and $κ$ diverge but $Q$ is fixed with $n=\lfloor{ρκQ\rfloor}$ for a fixed constant $ρ\in (0, 1/2]$. We show that the Glauber dynamics and its unlabeled version exhibit cutoff at time $(1/2)n \log n$ and $(1/2)(1-ρ)n\log n$ in total variation respectively. The unlabeled version is a special case of natural Markov chains for sampling from log M-concave distributions. We also show that a family of Markov chains for uniform sampling on M-convex sets does not necessarily exhibit cutoff.
title Cutoff for congestion dynamics and related generalized exclusion processes
topic Probability
Discrete Mathematics
url https://arxiv.org/abs/2502.06071