Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain

Let $G = (V,E)$ be an undirected graph with maximum degree $\Delta $ and vertex conductance $\Psi ^*(G)$. We show that there exists a symmetric, stochastic matrix $P$, with off-diagonal entries supported on $E$, whose spectral gap $\gamma ^*(P)$ satisfies \[ \Psi ^*(G)^{2}/\log \Delta \lesssim \gamm...

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Main Authors: Jain, Vishesh, Pham, Huy, Vuong, Thuy-Duong
Format: Article
Language:English
Published: Académie des sciences 2023-07-01
Series:Comptes Rendus. Mathématique
Online Access:https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.447/
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author Jain, Vishesh
Pham, Huy
Vuong, Thuy-Duong
author_facet Jain, Vishesh
Pham, Huy
Vuong, Thuy-Duong
author_sort Jain, Vishesh
collection DOAJ
description Let $G = (V,E)$ be an undirected graph with maximum degree $\Delta $ and vertex conductance $\Psi ^*(G)$. We show that there exists a symmetric, stochastic matrix $P$, with off-diagonal entries supported on $E$, whose spectral gap $\gamma ^*(P)$ satisfies \[ \Psi ^*(G)^{2}/\log \Delta \lesssim \gamma ^*(P) \lesssim \Psi ^*(G). \] 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 \Delta $ replaced by $\log |V|$.In order to obtain our result, we show how to embed a negative-type semi-metric $d$ defined on $V$ into a negative-type semi-metric $d^{\prime }$ supported in $\mathbb{R}^{O(\log \Delta )}$, such that the (fractional) matching number of the weighted graph $(V,E,d)$ is approximately equal to that of $(V,E,d^{\prime })$.
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spelling doaj.art-1b48c082c99f43eab47c474704726d422023-10-24T14:19:44ZengAcadémie des sciencesComptes Rendus. Mathématique1778-35692023-07-01361G586987610.5802/crmath.44710.5802/crmath.447Dimension reduction for maximum matchings and the Fastest Mixing Markov ChainJain, Vishesh0Pham, Huy1Vuong, Thuy-Duong2Department of Mathematics, Statistics, and Computer Science, University of Illinois ChicagoDepartment of Mathematics, Stanford UniversityDepartment of Computer Science, Stanford UniversityLet $G = (V,E)$ be an undirected graph with maximum degree $\Delta $ and vertex conductance $\Psi ^*(G)$. We show that there exists a symmetric, stochastic matrix $P$, with off-diagonal entries supported on $E$, whose spectral gap $\gamma ^*(P)$ satisfies \[ \Psi ^*(G)^{2}/\log \Delta \lesssim \gamma ^*(P) \lesssim \Psi ^*(G). \] 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 \Delta $ replaced by $\log |V|$.In order to obtain our result, we show how to embed a negative-type semi-metric $d$ defined on $V$ into a negative-type semi-metric $d^{\prime }$ supported in $\mathbb{R}^{O(\log \Delta )}$, such that the (fractional) matching number of the weighted graph $(V,E,d)$ is approximately equal to that of $(V,E,d^{\prime })$.https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.447/
spellingShingle Jain, Vishesh
Pham, Huy
Vuong, Thuy-Duong
Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
Comptes Rendus. Mathématique
title Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
title_full Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
title_fullStr Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
title_full_unstemmed Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
title_short Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain
title_sort dimension reduction for maximum matchings and the fastest mixing markov chain
url https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.447/
work_keys_str_mv AT jainvishesh dimensionreductionformaximummatchingsandthefastestmixingmarkovchain
AT phamhuy dimensionreductionformaximummatchingsandthefastestmixingmarkovchain
AT vuongthuyduong dimensionreductionformaximummatchingsandthefastestmixingmarkovchain