论文标题

Swendsen-Wang动力学用于具有外部字段的铁磁ising模型

Swendsen-Wang dynamics for the ferromagnetic Ising model with external fields

论文作者

Feng, Weiming, Guo, Heng, Wang, Jiaheng

论文摘要

我们研究了具有一致的外部场,尤其是该模型上的Swendsen-Wang动力学的铁磁ising模型的采样问题。我们介绍了一个新的大型模型,统一了两个密切相关的模型:子图世界和随机群集模型。通过这种新的观点,我们显示:(1)随机群集模型的Swendsen-Wang动力学和(边缘悬挂)Glauber动力学的多项式混合时间边界,从而概括了边界并简化了Guo和Jerrum(2018)的否场情况的证明; (2)如果最大程度界限,并且所有字段均(一致且)远离$ 1 $,则在上述两个动力学的​​线性混合时间附近。

We study the sampling problem for the ferromagnetic Ising model with consistent external fields, and in particular, Swendsen-Wang dynamics on this model. We introduce a new grand model unifying two closely related models: the subgraph world and the random cluster model. Through this new viewpoint, we show: (1) polynomial mixing time bounds for Swendsen-Wang dynamics and (edge-flipping) Glauber dynamics of the random cluster model, generalising the bounds and simplifying the proofs for the no-field case by Guo and Jerrum (2018); (2) near linear mixing time for the two dynamics above if the maximum degree is bounded and all fields are (consistent and) bounded away from $1$.

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