A curiously slowly mixing Markov chain
Persi Diaconis, Andrew Lin, Arun Ram

TL;DR
This paper analyzes a Markov chain called the Burnside process on the hypercube, revealing that its mixing times vary significantly depending on the measurement norm, with rapid mixing in some norms and slow in others.
Contribution
It provides an explicit diagonalization of the Burnside process on the hypercube, demonstrating the differing mixing rates in various norms and for different starting states.
Findings
Fast mixing in and norms from all-zero state
Logarithmic mixing time in norm from any starting point
Polynomial mixing time in norm for most starting points
Abstract
We study a Markov chain with very different mixing rates depending on how mixing is measured. The chain is the "Burnside process on the hypercube ." Started at the all-zeros state, it mixes in a bounded number of steps, no matter how large is, in and in . And started at general , it mixes in at most steps in . But, in , it takes steps for most starting . The mixing results follow from an explicit diagonalization of the Markov chain into binomial-coefficient-valued eigenvectors.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Advanced Queuing Theory Analysis · Stochastic processes and statistical mechanics
