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 [12] 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 [22], depth [7, 24], and graph distance [9, 15] of 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 onIn 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 [12] 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 [22], depth [7, 24], and graph distance [9, 15] of 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.show moreshow less

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Bas LodewijksORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1139589
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113958
ISSN:1083-6489OPAC
Parent Title (English):Electronic Journal of Probability
Publisher:Institute of Mathematical Statistics
Type:Article
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2024/07/11
Volume:27
First Page:149
DOI:https://doi.org/10.1214/22-ejp877
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Stochastik und ihre Anwendungen
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung