Pith. sign in

REVIEW 1 cited by

Random cographs: Brownian graphon limit and asymptotic degree distribution

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1907.08517 v3 pith:SEOZACZG submitted 2019-07-19 math.CO math.PR

classification math.COmath.PR
keywords randomcographsdegreedistributionuniformvertexbrownianconverges
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

We consider uniform random cographs (either labeled or unlabeled) of large size. Our first main result is the convergence towards 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 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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The longest increasing subsequence of Brownian separable permutons

    math.PR 2025-06 accept novelty 8.0 of 10

    For permutations sampled from the Brownian separable permuton, LIS(σ_n)/n^{α(p)} converges almost surely to a positive finite random variable, and α(p) is the explicit solution of a Gamma-function equation.

Pith tools