Random recursive trees: a boundary theory approach

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Rudolf Grübel
  • Igor Michailow
View graph of relations

Details

Original languageEnglish
Article number37
Pages (from-to)1-22
Number of pages22
JournalElectronic journal of probability
Volume20
Publication statusPublished - 2015

Abstract

We show that an algorithmic construction of sequences of recursive trees leads to a direct proof of the convergence of random recursive trees in an associated Doob- Martin compactification; it also gives a representation of the limit in terms of the input sequence of the algorithm. We further show that this approach can be used to obtain strong limit theorems for various tree functionals, such as path length or the Wiener index.

Keywords

    Doob-Martin compactification, Harris trees, Markov chains, Path length, Random trees, Wiener index

ASJC Scopus subject areas

Cite this

Random recursive trees: a boundary theory approach. / Grübel, Rudolf; Michailow, Igor.
In: Electronic journal of probability, Vol. 20, 37, 2015, p. 1-22.

Research output: Contribution to journalArticleResearchpeer review

Grübel R, Michailow I. Random recursive trees: a boundary theory approach. Electronic journal of probability. 2015;20:1-22. 37. doi: 10.1214/EJP.v20-3832, 10.15488/2013
Grübel, Rudolf ; Michailow, Igor. / Random recursive trees : a boundary theory approach. In: Electronic journal of probability. 2015 ; Vol. 20. pp. 1-22.
Download
@article{27735a45b4724abaa1e0eb443185c468,
title = "Random recursive trees: a boundary theory approach",
abstract = "We show that an algorithmic construction of sequences of recursive trees leads to a direct proof of the convergence of random recursive trees in an associated Doob- Martin compactification; it also gives a representation of the limit in terms of the input sequence of the algorithm. We further show that this approach can be used to obtain strong limit theorems for various tree functionals, such as path length or the Wiener index.",
keywords = "Doob-Martin compactification, Harris trees, Markov chains, Path length, Random trees, Wiener index",
author = "Rudolf Gr{\"u}bel and Igor Michailow",
note = "Publisher Copyright: {\textcopyright} 2015 University of Washington. All right reserved.",
year = "2015",
doi = "10.1214/EJP.v20-3832",
language = "English",
volume = "20",
pages = "1--22",
journal = "Electronic journal of probability",
issn = "1083-6489",
publisher = "Institute of Mathematical Statistics",

}

Download

TY - JOUR

T1 - Random recursive trees

T2 - a boundary theory approach

AU - Grübel, Rudolf

AU - Michailow, Igor

N1 - Publisher Copyright: © 2015 University of Washington. All right reserved.

PY - 2015

Y1 - 2015

N2 - We show that an algorithmic construction of sequences of recursive trees leads to a direct proof of the convergence of random recursive trees in an associated Doob- Martin compactification; it also gives a representation of the limit in terms of the input sequence of the algorithm. We further show that this approach can be used to obtain strong limit theorems for various tree functionals, such as path length or the Wiener index.

AB - We show that an algorithmic construction of sequences of recursive trees leads to a direct proof of the convergence of random recursive trees in an associated Doob- Martin compactification; it also gives a representation of the limit in terms of the input sequence of the algorithm. We further show that this approach can be used to obtain strong limit theorems for various tree functionals, such as path length or the Wiener index.

KW - Doob-Martin compactification

KW - Harris trees

KW - Markov chains

KW - Path length

KW - Random trees

KW - Wiener index

UR - http://www.scopus.com/inward/record.url?scp=84934873570&partnerID=8YFLogxK

U2 - 10.1214/EJP.v20-3832

DO - 10.1214/EJP.v20-3832

M3 - Article

AN - SCOPUS:84934873570

VL - 20

SP - 1

EP - 22

JO - Electronic journal of probability

JF - Electronic journal of probability

SN - 1083-6489

M1 - 37

ER -