Professor Sunil Chhita sunil.chhita@durham.ac.uk
Early Career Fellowship
Domino statistics of the two-periodic Aztec diamond
Chhita, Sunil; Johansson, Kurt
Authors
Kurt Johansson
Abstract
Random domino tilings of the Aztec diamond shape exhibit interesting features and some of the statistical properties seen in random matrix theory. As a statistical mechanical model it can be thought of as a dimer model or as a certain random surface. We consider the Aztec diamond with a two-periodic weighting which exhibits all three possible phases that occur in these types of models, often referred to as solid, liquid and gas. To analyze this model, we use entries of the inverse Kasteleyn matrix which give the probability of any configuration of dominoes. A formula for these entries, for this particular model, was derived by Chhita and Young (2014). In this paper, we find a major simplification of this formula expressing entries of the inverse Kasteleyn matrix by double contour integrals which makes it possible to investigate their asymptotics. In a part of the Aztec diamond, where the asymptotic analysis is simpler, we use this formula to show that the entries of the inverse Kasteleyn matrix converge to the known entries of the full-plane inverse Kasteleyn matrices for the different phases. We also study the detailed asymptotics of the inverse Kasteleyn matrix at both the ‘liquid–solid’ and ‘liquid–gas’ boundaries, and find the extended Airy kernel in the next order asymptotics. Finally we provide a potential candidate for a combinatorial description of the liquid–gas boundary.
Citation
Chhita, S., & Johansson, K. (2016). Domino statistics of the two-periodic Aztec diamond. Advances in Mathematics, 294, 37-149. https://doi.org/10.1016/j.aim.2016.02.025
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 23, 2016 |
Online Publication Date | Mar 9, 2016 |
Publication Date | May 14, 2016 |
Deposit Date | Oct 12, 2016 |
Publicly Available Date | Mar 9, 2017 |
Journal | Advances in Mathematics |
Print ISSN | 0001-8708 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 294 |
Pages | 37-149 |
DOI | https://doi.org/10.1016/j.aim.2016.02.025 |
Public URL | https://durham-repository.worktribe.com/output/1374665 |
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Copyright Statement
© 2016 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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