随机递归树中具有给定度或标签的顶点的联合性质

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY Electronic Journal of Probability Pub Date : 2022-01-01 DOI:10.1214/22-ejp877
B. Lodewijks
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引用次数: 3

摘要

本文研究了随机递归树中高阶顶点之间的度、深度、标记和图距的联合行为。我们推广了由Eslava得到的结果,并将这些结果扩展到包含高阶顶点之间的标记和图距离。对高阶顶点的这两个特性的分析是新颖的,特别是在这些顶点的深度行为方面。同时,我们还得到了任意固定数量的具有指定标号的顶点之间的深度、度和图距的联合行为的结果。这结合了文献中已经存在的关于顶点之间的程度和深度以及图形距离的几个孤立结果。此外,我们扩展了这些结果,使其适用于任意数量的固定顶点,并通过提供更详细的分布极限描述来改进这些结果。我们的分析是基于随机递归树和Kingman $n$-coalescent的表示之间的对应关系。
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On joint properties of vertices with a given degree or label in the random recursive tree
In this paper, we study the joint behaviour of the degree, depth and label of and graph distance between high-degree vertices in the random recursive tree. We generalise the results obtained by Eslava and extend these to include the labels of and graph distance between high-degree vertices. The analysis of both these two properties of high-degree vertices is novel, in particular in relation to the behaviour of the depth of such vertices. In passing, we also obtain results for the joint behaviour of the degree and depth of and graph distance between any fixed number of vertices with a prescribed label. This combines several isolated results on the degree and depth of and graph distance between vertices with a prescribed label already present in the literature. Furthermore, we extend these results to hold jointly for any number of fixed vertices and improve these results by providing more detailed descriptions of the distributional limits. Our analysis is based on a correspondence between the random recursive tree and a representation of the Kingman $n$-coalescent.
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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