Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain

preprint2022arXivOpen access

Abstract

Let G=(V,E)G = (V,E) be an undirected graph with maximum degree ΔΔ and vertex conductance Ψ∗(G)Ψ^*(G). We show that there exists a symmetric, stochastic matrix PP, with off-diagonal entries supported on EE, whose spectral gap γ∗(P)γ^*(P) satisfies Ψ∗(G)2/log⁡Δ≲γ∗(P)≲Ψ∗(G).Ψ^*(G)^{2}/\logΔ\lesssim γ^*(P) \lesssim Ψ^*(G). Our bound is optimal under the Small Set Expansion Hypothesis, and answers a question of Olesker-Taylor and Zanetti, who obtained such a result with log⁡Δ\logΔ replaced by log⁡∣V∣\log|V|. In order to obtain our result, we show how to embed a negative-type semi-metric dd defined on VV into a negative-type semi-metric d′d' supported in RO(log⁡Δ)\mathbb{R}^{O(\logΔ)}, such that the (fractional) matching number of the weighted graph (V,E,d)(V,E,d) is approximately equal to that of (V,E,d′)(V,E,d').

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