Torpid mixing of some Monte Carlo Markov chain algorithms in statistical physics

C. Borgs, J. Chayes, A. Frieze, J. Kim, P. Tetali, Eric Vigoda, Van H. Vu
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引用次数: 108

Abstract

Studies two widely used algorithms, Glauber dynamics and the Swendsen-Wang (1987) algorithm, on rectangular subsets of the hypercubic lattice Z/sup d/. We prove that, under certain circumstances, the mixing time in a box of side length L with periodic boundary conditions can be exponential in L/sup d-1/. In other words, under these circumstances, the mixing in these widely used algorithms is not rapid; instead it is torpid. The models we study are the independent set model and the q-state Potts model. For both models, we prove that Glauber dynamics is torpid in the region with phase coexistence. For the Potts model, we prove that the Swendsen-Wang mixing is torpid at the phase transition point.
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统计物理中一些蒙特卡罗马尔可夫链算法的迟钝混合
在超立方晶格Z/sup /的矩形子集上研究了两种广泛使用的算法,Glauber动力学和Swendsen-Wang(1987)算法。证明了在一定条件下,具有周期边界条件的边长为L的盒子内的混合时间在L/sup - d-1/上可以呈指数形式。换句话说,在这种情况下,这些广泛使用的算法中的混合并不迅速;相反,它是迟钝的。我们研究的模型是独立集模型和q态波茨模型。对于这两种模型,我们证明了在相共存区域的Glauber动力学是迟钝的。对于Potts模型,我们证明了Swendsen-Wang混合在相变点处是迟钝的。
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