An Exercise (?) in Fourier Analysis on the Heisenberg Group
Daniel Bump, Persi Diaconis, Angela Hicks, Laurent Miclo, and Harold, Widom

TL;DR
This paper investigates the convergence rate of a simple random walk on the Heisenberg group over Z/nZ, employing Fourier analysis to establish bounds and introduce novel spectral techniques applicable to various groups.
Contribution
It provides new spectral bounding techniques for random walks on groups, enhancing understanding of convergence times using Fourier analysis.
Findings
Random walk converges in order n^2 steps
Introduces novel spectral bounding techniques
Fourier analysis effectively analyzes group walks
Abstract
Let H(n) be the group of 3x3 uni-uppertriangular matrices with entries in Z/nZ, the integers mod n. We show that the simple random walk converges to the uniform distribution in order n^2 steps. The argument uses Fourier analysis and is surprisingly challenging. It introduces novel techniques for bounding the spectrum which are useful for a variety of walks on a variety of groups.
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Taxonomy
TopicsRandom Matrices and Applications · Markov Chains and Monte Carlo Methods · Advanced Operator Algebra Research
