2005
DOI: 10.1007/s10955-005-6998-x
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Random Tilings of High Symmetry: II. Boundary Conditions and Numerical Studies

Abstract: We perform numerical studies including Monte Carlo simulations of high rotational symmetry random tilings. For computational convenience, our tilings obey fixed boundary conditions in regular polygons. Such tilings are put in correspondence with algorithms for sorting lists in computer science. We obtain statistics on path counting and vertex coordination which compare well with predictions of mean-field theory and allow estimation of the configurational entropy, which tends to the value 0.568 per vertex in th… Show more

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Cited by 5 publications
(16 citation statements)
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References 30 publications
(54 reference statements)
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“…-The computational power provided by the Transition matrix Monte Carlo technique allowed us to investigate random tilings with 2D-fold rotational symmetry in their large size, large D limit. The numerical entropies obtained strongly support the analytic predictions of previous publications [10,11] and go into the direction of a large D "universal" entropy independent of size, shape, tile fractions and boundary conditions. This work shows that the knowledge of a few adjustable parameters that can be estimated by finite D and finite p fits is sufficient to get a good estimate of finite D entropies of physical interest (see Eq.…”
supporting
confidence: 84%
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“…-The computational power provided by the Transition matrix Monte Carlo technique allowed us to investigate random tilings with 2D-fold rotational symmetry in their large size, large D limit. The numerical entropies obtained strongly support the analytic predictions of previous publications [10,11] and go into the direction of a large D "universal" entropy independent of size, shape, tile fractions and boundary conditions. This work shows that the knowledge of a few adjustable parameters that can be estimated by finite D and finite p fits is sufficient to get a good estimate of finite D entropies of physical interest (see Eq.…”
supporting
confidence: 84%
“…To verify them further, we also calculate the large D limit for finite p. The case p = 1 was solely considered in Ref. [11]. We were able to perform more intensive numerical calculations here.…”
mentioning
confidence: 99%
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