Cutoff for Contingency Table and Torus Random Walks with Low Incremental Correlations

TL;DR

This paper determines the cutoff times for certain random walks on contingency tables and tori, showing how low correlations and variance influence mixing times and establishing cutoff phenomena in these settings.

Contribution

It introduces a method using the correlation matrix to determine cutoff times for random walks on the torus and contingency tables, extending previous results to low-correlation cases.

Findings

Cutoff occurs at specific times depending on table dimensions and parameters.

Low correlation and variance conditions lead to predictable cutoff times.

The method applies broadly to random walks with low inter-coordinate correlations.

Abstract

We use the correlation matrix of the generating distribution to determine the mixing time for random walks on the torus $(\mathbb{Z}/q\mathbb{Z})^n$. We present our method in the context of the Diaconis-Gangolli random walk on both the $1 \times n$ and $m \times n$ contingency tables over $\mathbb{Z}/q\mathbb{Z}$. In the $1 \times n$ case, we prove that the random walk exhibits cutoff at time $\dfrac{n q^2 \log(n)}{8 \pi^2}$ when $q \gg n$; in the $m \times n$ case, where $m, n$ are of the same order, we establish cutoff for the random walk at time $\dfrac{mn q^2 \log(mn)}{16 \pi^2}$ when $q \gg n^2$. Our method reveals that a general class of random walks on the torus $(\mathbb{Z}/q\mathbb{Z})^n$ has cutoff. If each coordinate of the lifted random walk onto $\mathbb{Z}^n$ has variance $\sigma^2/n$ in each jump, and the between-coordinate correlations are sufficiently low, then cutoff occurs at time $\dfrac{nq^2 \log(n)}{4\pi^2 \sigma^2}$.