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Bibliographic Details
Main Author: Engel, Rafael
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2503.05829
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author Engel, Rafael
author_facet Engel, Rafael
contents This Master's thesis examines the properties of large degree vertices in random recursive directed acyclic graphs (RRDAGs), a generalization of the well-studied random recursive tree (RRT) model. Using a novel adaptation of Kingman's coalescent, we extend results from RRTs to RRDAGs, focusing on different vertex properties. For large degrees, we establish the asymptotic joint distribution of the degree of multiple uniform vertices, proving that they follow a multivariate geometric distribution, and obtain results on maximal and near-maximal degree vertices. In addition, we consider a version of vertex depth that we call ungreedy depth and describe its asymptotic behavior, along with the labels, of single uniform vertices with a given large degree. Finally, we extend this analysis to multiple uniform vertices by deriving the asymptotic behavior of their labels conditional on large degrees.
format Preprint
id arxiv_https___arxiv_org_abs_2503_05829
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Large degree vertices in random directed acyclic graphs
Engel, Rafael
Probability
This Master's thesis examines the properties of large degree vertices in random recursive directed acyclic graphs (RRDAGs), a generalization of the well-studied random recursive tree (RRT) model. Using a novel adaptation of Kingman's coalescent, we extend results from RRTs to RRDAGs, focusing on different vertex properties. For large degrees, we establish the asymptotic joint distribution of the degree of multiple uniform vertices, proving that they follow a multivariate geometric distribution, and obtain results on maximal and near-maximal degree vertices. In addition, we consider a version of vertex depth that we call ungreedy depth and describe its asymptotic behavior, along with the labels, of single uniform vertices with a given large degree. Finally, we extend this analysis to multiple uniform vertices by deriving the asymptotic behavior of their labels conditional on large degrees.
title Large degree vertices in random directed acyclic graphs
topic Probability
url https://arxiv.org/abs/2503.05829