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        <datestamp>2024-03-06T10:40:40Z</datestamp>
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          <dc:title>Polynomial Mixing of the Edge-Flip Markov Chain for Unbiased Dyadic Tilings</dc:title>
          <dc:creator>Cannon, Sarah</dc:creator>
          <dc:creator>Levin, David A.</dc:creator>
          <dc:creator>Stauffer, Alexandre</dc:creator>
          <dc:subject>Random dyadic tilings</dc:subject>
          <dc:subject>spectral gap</dc:subject>
          <dc:subject>rapid mixing</dc:subject>
          <dc:description>We give the first polynomial upper bound on the mixing time of the edge-flip Markov chain for unbiased dyadic tilings, resolving an open problem originally posed by Janson, Randall, and Spencer in 2002. A dyadic tiling of size n is a tiling of the unit square by n non-overlapping dyadic rectangles, each of area 1/n, where a dyadic rectangle is any rectangle that can be written in the form [a2^{-s}, (a+1)2^{-s}] x [b2^{-t}, (b+1)2^{-t}] for a,b,s,t nonnegative integers. The edge-flip Markov chain selects a random edge of the tiling and replaces it with its perpendicular bisector if doing so yields a valid dyadic tiling. Specifically, we show that the relaxation time of the edge-flip Markov chain for dyadic tilings is at most O(n^{4.09}), which implies that the mixing time is at most O(n^{5.09}). We complement this by showing that the relaxation time is at least Omega(n^{1.38}), improving upon the previously best lower bound of Omega(n*log n) coming from the diameter of the chain.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sarah Cannon and David A. Levin and Alexandre Stauffer</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 81, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX-RANDOM.2017.34</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-75830</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2017.34</dc:identifier>
          <dc:language>eng</dc:language>
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