C. Cooper, A. Frieze
{"title":"Mixing properties of the Swendsen-Wang process on classes of graphs","authors":"C. Cooper, A. Frieze","doi":"10.1002/(SICI)1098-2418(199910/12)15:3/4%3C242::AID-RSA4%3E3.0.CO;2-C","DOIUrl":null,"url":null,"abstract":"We consider the mixing properties of the widely used Swendsen–Wang process for the Markov chain Monte Carlo estimation of the partition function of the ferromagnetic Q-state Potts model, for certain classes of graphs. \n \nIn the paper “The Swendsen–Wang Process Does Not Always Mix Rapidly,” V. Gore and M. Jerrum obtained results for the mixing properties of the Swendsen–Wang process on the complete graph Kn. Our main results for graphs with n vertices are the following: \n \n \nFor graphs with small maximum degree, the mixing time is polynomial in n for small enough values of the coupling constant β. \n \n \nFor trees, the mixing time is O(n) for any β. \n \n \nFor cycles, the mixing time is O(n log n) for any β. \n \n \nFor random graphs Gn, p, p=Ω(n−1/3), there are values of the coupling constant β for which whp the Swendsen–Wang process does not mix rapidly. \n \n \n \n ©1999 John Wiley & Sons, Inc. Random Struct. Alg., 15, 242–261, 1999","PeriodicalId":303496,"journal":{"name":"Random Struct. Algorithms","volume":"210 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Struct. Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1098-2418(199910/12)15:3/4%3C242::AID-RSA4%3E3.0.CO;2-C","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 58
图类上Swendsen-Wang过程的混合性质
我们考虑了广泛应用于铁磁q态Potts模型配分函数的马尔可夫链蒙特卡罗估计的Swendsen-Wang过程的混合性质。在论文“the Swendsen-Wang过程并不总是快速混合”中,V. Gore和M. Jerrum在完全图Kn上得到了Swendsen-Wang过程混合特性的结果。对于有n个顶点的图,我们的主要结果如下:对于最大度较小的图,在耦合常数β足够小的情况下,混合时间是n的多项式。对于树,对于任意β,混合时间为O(n)。对于循环,对于任意β,混合时间为O(n log n)。对于随机图Gn, p, p=Ω(n−1/3),存在耦合常数β值,此时Swendsen-Wang过程不会快速混合。©1999 John Wiley & Sons, Inc随机结构。Alg。中华医学杂志,15,242-261,1999
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