Since 1997 a considerable effort has been spent to study the mixing time of switch Markov chains on the realizations of graphic degree sequences of simple graphs. Several results were proved on rapidly mixing Markov chains on unconstrained, bipartite, and directed sequences, using different mechanisms. The aim of this paper is to unify these approaches. We will illustrate the strength of the unified method by showing that on any $P$-stable family of unconstrained/bipartite/directed degree sequences the switch Markov chain is rapidly mixing. This is a common generalization of every known result that shows the rapid mixing nature of the switch Markov chain on a region of degree sequences. Two applications of this general result will be presented. One is an almost uniform sampler for power-law degree sequences with exponent $\gamma>1+\sqrt{3}$. The other one shows that the switch Markov chain on the degree sequence of an Erd\H{o}s-R\'enyi random graph $G(n,p)$ is asymptotically almost surely rapidly mixing if $p$ is bounded away from 0 and 1 by at least $\frac{5\log n}{n-1}$.
翻译:自1997年以来,在利用简单图表的图形度序列实现图形序列方面,对Markov链开关的混合时间进行了大量研究。在利用不同机制将Markov链在不受限制、双边和定向序列上迅速混合到不受限制、双边和定向序列上,证明了一些结果。本文件的目的是统一这些方法。我们将通过显示在任何价格稳定的非约束/双边/方向序列组合中,Markov链开关正在迅速混合,来说明统一方法的强度。这是对每个已知结果的共同概括,显示Markov链开关在一个程度序列区域迅速混合的性质。将展示这一一般结果的两个应用。一个是几乎统一的权力法级序列取样器,其前缀为$\gamma>1 ⁇ sqrt{3美元。另一个显示,如果美元=1和美元=1,则Markov链在Erd\H{o}s-R\ enyi 随机序列中,其开关的开关在最低速度混合状态上,如果美元=1美元和美元=1美元以上,则几乎可以肯定快速混合。