{"title":"Recursive reconstruction on periodic trees","authors":"Elchanan Mossel","doi":"10.1002/(SICI)1098-2418(199808)13:1%3C81::AID-RSA5%3E3.0.CO;2-O","DOIUrl":null,"url":null,"abstract":"A periodic tree Tn consists of full n-level copies of a finite tree T. The tree Tn is labeled by random bits. The root label is chosen randomly, and the probability of two adjacent vertices to have the same label is 1−ϵ. This model simulates noisy propagation of a bit from the root, and has significance both in communication theory and in biology. Our aim is to find an algorithm which decides for every set of values of the boundary bits of T, if the root is more probable to be 0 or 1. We want to use this algorithm recursively to reconstruct the value of the root of Tn with a probability bounded away from ½ for all n. In this paper we find for all T, the values of ϵ for which such a reconstruction is possible. We then compare the ϵ values for recursive and nonrecursive algorithms. Finally, we discuss some problems concerning generalizations of this model. © 1998 John Wiley & Sons, Inc. Random Struct. Alg., 13, 81–97, 1998","PeriodicalId":303496,"journal":{"name":"Random Struct. Algorithms","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Struct. Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1098-2418(199808)13:1%3C81::AID-RSA5%3E3.0.CO;2-O","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47
周期树上的递归重构
周期树Tn由有限树t的完整n层副本组成,树Tn用随机位标记。根标签是随机选择的,两个相邻顶点具有相同标签的概率为1−λ。该模型模拟了比特从根开始的噪声传播,在通信理论和生物学上都有重要意义。我们的目标是找到一种算法来决定T的每一组边界位的值,如果根更有可能是0或1。我们想用这个算法递归地重建Tn的根的值,对于所有的n,概率有界于1 / 2。在本文中,我们发现对于所有的T,这样的重建是可能的。然后我们比较递归和非递归算法的λ值。最后,我们讨论了关于该模型推广的一些问题。©1998 John Wiley & Sons, Inc随机结构。Alg。, 13, 81-97, 1998
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