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Random cographs: Brownian graphon limit and asymptotic degree distribution

  • Frédérique Bassino
  • , Mathilde Bouvel
  • , Valentin Féray
  • , Lucas Gerin
  • , Mickaël Maazoun
  • , Adeline Pierrot
  • Université Sorbonne Paris Nord
  • University of Zurich
  • Nancy Université
  • Ecole Normale Supérieure de Lyon
  • INRIA Saclay, Laboratoire de Recherche en Informatique (LRI), Université Paris Sud

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

We consider uniform random cographs (either labeled or unlabeled) of large size. Our first main result is the convergence toward a Brownian limiting object in the space of graphons. We then show that the degree of a uniform random vertex in a uniform cograph is of order n, and converges after normalization to the Lebesgue measure on (Formula presented.). We finally analyze the vertex connectivity (i.e., the minimal number of vertices whose removal disconnects the graph) of random connected cographs, and show that this statistics converges in distribution without renormalization. Unlike for the graphon limit and for the degree of a random vertex, the limiting distribution of the vertex connectivity is different in the labeled and unlabeled settings. Our proofs rely on the classical encoding of cographs via cotrees. We then use mainly combinatorial arguments, including the symbolic method and singularity analysis.

langue originaleAnglais
Pages (de - à)166-200
Nombre de pages35
journalRandom Structures and Algorithms
Volume60
Numéro de publication2
Les DOIs
étatPublié - 1 mars 2022

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