Cutoff for Contingency Table and Torus Random Walks with Low Incremental 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 $\frac{n{q}^2\log (n)}{8{\pi }^2}$ 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 $\frac{mn{q}^2\log (mn)}{16{\pi }^2}$ 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 $\frac{n{q}^2\log (n)}{4{\pi }^2{\sigma }^2}$.

49 pages, 3 figures, accepted draft at Journal of Theoretical Probability, previous version titled as "Cutoff for Contingency Table Random Walks"