License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.AofA.2022.16
URN: urn:nbn:de:0030-drops-161026
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16102/
Go to the corresponding LIPIcs Volume Portal


Olsson, Christoffer ; Wagner, Stephan

Automorphisms of Random Trees

pdf-format:
LIPIcs-AofA-2022-16.pdf (0.6 MB)


Abstract

We study the size of the automorphism group of two different types of random trees: Galton-Watson trees and Pólya trees. In both cases, we prove that it asymptotically follows a log-normal distribution. While the proof for Galton-Watson trees mainly relies on probabilistic arguments and a general result on additive tree functionals, generating functions are used in the case of Pólya trees.

BibTeX - Entry

@InProceedings{olsson_et_al:LIPIcs.AofA.2022.16,
  author =	{Olsson, Christoffer and Wagner, Stephan},
  title =	{{Automorphisms of Random Trees}},
  booktitle =	{33rd International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2022)},
  pages =	{16:1--16:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-230-3},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{225},
  editor =	{Ward, Mark Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16102},
  URN =		{urn:nbn:de:0030-drops-161026},
  doi =		{10.4230/LIPIcs.AofA.2022.16},
  annote =	{Keywords: random tree, Galton-Watson tree, P\'{o}lya tree, automorphism group, central limit theorem}
}

Keywords: random tree, Galton-Watson tree, Pólya tree, automorphism group, central limit theorem
Collection: 33rd International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2022)
Issue Date: 2022
Date of publication: 08.06.2022


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI