Random cographs: Brownian graphon limit and asymptotic degree distribution

  • Frédérique Bassino
  • , Mathilde Bouvel
  • , Valentin Féray
  • , Lucas Gerin
  • , Mickaël Maazoun
  • , Adeline Pierrot

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)166-200
Number of pages35
JournalRandom Structures and Algorithms
Volume60
Issue number2
DOIs
Publication statusPublished - 1 Mar 2022

Fingerprint

Dive into the research topics of 'Random cographs: Brownian graphon limit and asymptotic degree distribution'. Together they form a unique fingerprint.

Cite this