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        <identifier>oai:drops-oai.dagstuhl.de:21056</identifier>
        <datestamp>2024-09-16T06:02:39Z</datestamp>
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          <dc:title>Rapid Mixing of the Down-Up Walk on Matchings of a Fixed Size</dc:title>
          <dc:creator>Jain, Vishesh</dc:creator>
          <dc:creator>Mizgerd, Clayton</dc:creator>
          <dc:subject>Down-up walk</dc:subject>
          <dc:subject>Matchings</dc:subject>
          <dc:subject>MCMC</dc:subject>
          <dc:description>Let G = (V,E) be a graph on n vertices and let m^*(G) denote the size of a maximum matching in G. We show that for any δ &gt; 0 and for any 1 ≤ k ≤ (1-δ)m^*(G), the down-up walk on matchings of size k in G mixes in time polynomial in n. Previously, polynomial mixing was not known even for graphs with maximum degree Δ, and our result makes progress on a conjecture of Jain, Perkins, Sah, and Sawhney [STOC, 2022] that the down-up walk mixes in optimal time O_{Δ,δ}(nlog{n}). &#13;
In contrast with recent works analyzing mixing of down-up walks in various settings using the spectral independence framework, we bound the spectral gap by constructing and analyzing a suitable multi-commodity flow. In fact, we present constructions demonstrating the limitations of the spectral independence approach in our setting.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vishesh Jain and Clayton Mizgerd</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 317, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2024)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2024.63</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-210563</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2024.63</dc:identifier>
          <dc:language>eng</dc:language>
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