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Random cographs: Brownian graphon limit and asymptotic degree distribution

Bassino, Frédérique; Bouvel, Mathilde; Féray, Valentin; Gerin, Lucas; Maazoun, Mickaël; Pierrot, Adeline (2022). Random cographs: Brownian graphon limit and asymptotic degree distribution. Random Structures & Algorithms, 60(2):166-200.

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 [0,1]. 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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > General Mathematics
Physical Sciences > Computer Graphics and Computer-Aided Design
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Software, Applied Mathematics, General Mathematics, Computer Graphics and Computer-Aided Design
Language:English
Date:1 March 2022
Deposited On:02 Aug 2021 12:48
Last Modified:25 Dec 2024 02:39
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:1042-9832
OA Status:Closed
Publisher DOI:https://doi.org/10.1002/rsa.21033

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