Families of Markov chains with compatible symmetric-group actions
Eric Ramos, Graham White

TL;DR
This paper studies random walks on families of symmetric-group action compatible graphs, revealing asymptotic rational behavior of hitting times and bounds on mixing times, using algebraic combinatorics and representation stability.
Contribution
It applies advanced algebraic combinatorics techniques to analyze random walks on graph families with symmetric-group actions, providing new asymptotic and mixing time results.
Findings
Hitting time moments exhibit rational function asymptotics
Entries of Green's functions follow similar asymptotic behavior
Bounds on mixing times are derived from graph structure
Abstract
For each , let denote the Kneser Graph; that whose vertices are labeled by -element subsets of , and whose edges indicate that the corresponding subsets are disjoint. Fixing and allowing to vary, one obtains a family of nested graphs, each equipped with a natural action by a symmetric group , such that these actions are compatible. Collections of graphs of this type are common in algebraic combinatorics and include families such as the Johnson Graphs, Crown Graphs and Rook Graphs. In previous work, the authors systematically studied families of this type using the language of representation stability and FI-modules. In that work, it is shown that such families of graphs exhibit a large variety of asymptotic regular behaviors. The present work applies the theory developed in that previous work, later refined in work of the authors and Speyer, to…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Markov Chains and Monte Carlo Methods · Graph theory and applications
