Published In

Random Structures and Algorithms

Document Type

Article

Publication Date

12-1-2025

Abstract

We study a variant of the down-up (also known as the Glauber dynamics) and up-down walks over an 𝑛-partite simplicial complex, which we call expanderized higher-order random walksβ€”where the sequence of updated coordinates corresponds to the sequence of vertices visited by a random walk over an auxiliary expander graph 𝐻. When 𝐻 is the clique with self-loops on [𝑛], this random walk reduces to the usual down-up walk, and when 𝐻 is the directed cycle on [𝑛], this random walk reduces to the well-known systematic scan Glauber dynamics. We show that whenever the usual higher-order random walks satisfy a log-Sobolev inequality or a PoincarΓ© inequality, the expanderized walks satisfy the same inequalities with a loss of quality related to the two-sided expansion of the auxiliary graph 𝐻. Our construction can be thought of as a higher-order random walk generalization of the derandomized squaring algorithm of Rozenman and Vadhan (RANDOM 2005). We study the mixing times of our expanderized walks in two example cases: We show that when initiated with an expander graph our expanderized random walks have mixing time (i) 𝑂(𝑛 log 𝑛) for sampling uniformly random list colorings of a graph 𝐺 of maximum degree Ξ” = 𝑂(1) where each vertex has at least 1.809Ξ” and at most 𝑂(Ξ”) colors, (ii) 𝑂𝒉( 𝑛 log 𝑛 (1βˆ’||J||op)2 ) for sampling the Ising model with a PSD interaction matrix J ∈ ℝ𝑛×𝑛 satisfying ||J||op ≀ 1 and the external field 𝒉 ∈ ℝ𝑛—here the 𝑂(β€’) notation hides a constant that depends linearly on the largest entry of 𝒉. As expander graphs can be very sparse, this decreases the amount of randomness required to simulate the down-up walks by a logarithmic factor. We also prove some simple results which enable us to argue about log-Sobolev constants of higher-order random walks and provide a simple and self-contained analysis of local-to-global Ξ¦-entropy contraction in simplicial complexesβ€”giving simpler proofs for many pre-existing results.

Rights

Copyright (c) 2025 The Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

10.1002/rsa.70032

Persistent Identifier

https://archives.pdx.edu/ds/psu/44312

Share

COinS