Mixing Times of Switch Chains via High-Dimensional Expansion

šŸ“… 2026-10-07
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This study addresses the long-standing open problem of analyzing the mixing time of switch chains for graph degree sequence realizations. The proposed approach introduces high-dimensional expansion theory, modeling the realization space as faces of a simplicial complex. By analyzing the simplicial switch chain, the authors bound the mixing time of the classical chain. Specifically, they prove that high-codimension links are strong spectral expanders and compare Dirichlet energies across different update strategies. This work establishes an O(Δ²m log m) upper bound on the mixing time, confirming convergence within O(n log n) steps under bounded maximum degree and thereby resolving a longstanding conjecture in the field.
šŸ“ Abstract
The switch chain is a Markov chain defined on the set of labelled realizations of a given graphical degree sequence. At each step, a pair of vertex-disjoint edges is chosen at random and the process attempts to replace them with a uniformly chosen perfect matching of the same four vertices, rejecting any proposal that would create a multiple edge. The resulting process is reversible with respect to the uniform distribution on all realizations. We investigate the mixing time of this chain by viewing realizations as the facets of a simplicial complex and studying a variant of the original process called the simplicial switch chain, which we analyze using tools from the theory of high-dimensional expansion. Our technical contributions include a proof that links of faces of sufficiently high codimension are strong spectral expanders and a comparison between the Dirichlet energies of large block updates and two-edge updates. Our main result is an $O(Ī”^{2}m\log m)$ bound on the mixing time of both simplicial and classical switch chains whenever $m\ge CĪ”^{8}$, where $m$ is the number of edges, $Ī”$ is the maximum prescribed degree, and $C>0$ is an absolute constant. For sequences on $n$ vertices with fixed maximum degree, this proves that the chain mixes in $O(n\log n)$ steps, resolving a longstanding conjecture of Cooper, Dyer, and Greenhill and extending its conclusion to irregular degree sequences.
Problem

Research questions and friction points this paper is trying to address.

mixing time
switch chain
graphical degree sequence
Markov chain
Innovation

Methods, ideas, or system contributions that make the work stand out.

Switch chain
Mixing time
High-dimensional expansion
Simplicial complex
Spectral expander
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S
Sawyer Jack Robertson
Simons Institute for the Theory of Computing, University of California Berkeley