The critical Karp–Sipser core of random graphs

We study the Karp–Sipser core of a random graph made of a configuration model with vertices of degree 1, 2 and 3. This core is obtained by recursively removing the leaves as well as their unique neighbors in the graph. We settle a conjecture of Bauer and Golinelli (Eur. Phys. J. B 24 (2001) 339–352) and prove that at criticality, the Karp–Sipser core has size ≈Cst·ϑ−2·n3/5 where ϑ is the hitting time of the curve t↦1t2 by a linear Brownian motion started at 0. Our proof relies on a detailed multi-scale analysis of the Markov chain associated to the Karp–Sipser leaf-removal algorithm close to its extinction time.

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Publication Details

Journal
The Annals of Applied Probability
Published
2025-04-01
DOI
https://doi.org/10.1214/24-aap2133
Primary Topic
Graph theory and applications
Type
article
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article

The critical Karp–Sipser core of random graphs

Thomas Budzinski, Alice Contat, Nicolas Curien
The Annals of Applied Probability
Graph theory and applications
article

The critical Karp–Sipser core of random graphs

Thomas Budzinski, Alice Contat, Nicolas Curien
article en

Abstract

We study the Karp–Sipser core of a random graph made of a configuration model with vertices of degree 1, 2 and 3. This core is obtained by recursively removing the leaves as well as their unique neighbors in the graph. We settle a conjecture of Bauer and Golinelli (Eur. Phys. J. B 24 (2001) 339–352) and prove that at criticality, the Karp–Sipser core has size ≈Cst·ϑ−2·n3/5 where ϑ is the hitting time of the curve t↦1t2 by a linear Brownian motion started at 0. Our proof relies on a detailed multi-scale analysis of the Markov chain associated to the Karp–Sipser leaf-removal algorithm close to its extinction time.

The Annals of Applied ProbabilityVol. 35(2)
École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Sorbonne Université (FR), Laboratoire Analyse, Géométrie et Applications (FR), Unité de Mathématiques Pures et Appliquées (FR)
Openalex Percentile: Top 99%
Graph theory and applications
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The critical Karp–Sipser core of random graphs — Thomas Budzinski, Alice Contat, et al. · The Annals of Applied Probability (2025) | TGRS Research Map | TGRS