2018
DOI: 10.1017/s0963548318000470
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Polynomial Mixing of the Edge-Flip Markov Chain for Unbiased Dyadic Tilings

Abstract: 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 [10]. 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 formfor a, b, s, t ∈ Z ≥0 . The edge-flip Markov chain selects a random edge of the tiling and replaces it with its perpen… Show more

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Cited by 4 publications
(8 citation statements)
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“…It remains to lower bound the spectral gaps ∆ P i corresponding to the restricted ("within-block") chains defined in (4.10). By our careful choice of the block decomposition, we demonstrate in Section A.4.2 a one-to-one correspondence between the time configurations in any block Ω i and the equal area dyadic tilings of a unit square, and crucially this correspondence also exactly maps the edge-flip Markov chain moves considered in [CLS17] to the updates which describe the application of a local gate to a valid time configuration. Since the relaxation time of the edge-flip Markov chain is O(n 4.09 ) we have ∆ P i = Ω(n −4.09 ) and so ∆ P = Ω(n −4.09 ), (4.20)…”
Section: Decomposition Of the Circuit Propagation Markov Chainmentioning
confidence: 88%
See 3 more Smart Citations
“…It remains to lower bound the spectral gaps ∆ P i corresponding to the restricted ("within-block") chains defined in (4.10). By our careful choice of the block decomposition, we demonstrate in Section A.4.2 a one-to-one correspondence between the time configurations in any block Ω i and the equal area dyadic tilings of a unit square, and crucially this correspondence also exactly maps the edge-flip Markov chain moves considered in [CLS17] to the updates which describe the application of a local gate to a valid time configuration. Since the relaxation time of the edge-flip Markov chain is O(n 4.09 ) we have ∆ P i = Ω(n −4.09 ) and so ∆ P = Ω(n −4.09 ), (4.20)…”
Section: Decomposition Of the Circuit Propagation Markov Chainmentioning
confidence: 88%
“…The numbers a count the number of valid partial circuit configurations of B , but they also happen to enumerate a different combinatorial structure: the number of dyadic tilings of the unit square of rank [CLS17]. To facilitate the analysis of the gap of our code Hamiltonian, we will describe an explicit isomorphism between the two sets and the Markov chains defined on them.…”
Section: A41 Dyadic Tilingsmentioning
confidence: 99%
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“…On the other hand, for many natural chains on Catalan structures, triangulations and related objects not even a polynomial upper bound for the mixing time is known. One such example is that of lattice triangulations, where polynomial bounds are only known for biased versions of the chain [8,9,26]; see also works on rectangular dissections, for which polynomial bounds were obtained very recently [7,6].…”
Section: Introductionmentioning
confidence: 99%