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  • 标题:Torpid Mixing of Markov Chains for the Six-vertex Model on Z^2
  • 本地全文:下载
  • 作者:Tianyu Liu
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:116
  • 页码:1-15
  • DOI:10.4230/LIPIcs.APPROX-RANDOM.2018.52
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In this paper, we study the mixing time of two widely used Markov chain algorithms for the six-vertex model, Glauber dynamics and the directed-loop algorithm, on the square lattice Z^2. We prove, for the first time that, on finite regions of the square lattice these Markov chains are torpidly mixing under parameter settings in the ferroelectric phase and the anti-ferroelectric phase.
  • 关键词:the six-vertex model; Eulerian orientations; square lattice; torpid mixing
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