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Slow Mixing of Markov Chains Using Fault Lines and Fat Contours

机译:使用故障线和胖轮廓缓慢混合马尔可夫链

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摘要

We show that local dynamics require exponential time for two sampling problems: independent sets on the triangular lattice (the hard-core lattice gas model) and weighted even orientations of the Cartesian lattice (the 8-vertex model). For each problem, there is a parameter λ known as the fugacity such that local Markov chains are expected to be fast when λ is small and slow when λ is large. However, establishing slow mixing for these models has been a challenge because standard contour arguments typically used to show that a chain has small conductance do not seem sufficient. We modify this approach by introducing the notion of fat contours that can have nontrivial d-dimensional volume and use these to establish slow mixing of local chains defined for these models.
机译:我们显示出,局部动力学需要两个采样问题的指数时间:三角形晶格上的独立集合(硬核晶格气体模型)和笛卡尔晶格的加权偶数方向(8顶点模型)。对于每个问题,都有一个参数λ称为逸度,这样,当λ较小时,期望局部马尔可夫链快,而在λ大时则期望慢。但是,为这些模型建立缓慢混合一直是一个挑战,因为通常用于显示链电导率小的标准轮廓参数似乎不足。我们通过引入可以具有不平凡的d维体积的脂肪轮廓概念来修改此方法,并使用这些轮廓建立为这些模型定义的局部链的缓慢混合。

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