When is the graph of a random 0/1 polytope a clique?

Abstract We study graph‐theoretic properties of random polytopes. Specifically, let be a random subset where each point is included independently with probability , and consider the graph of the polytope . We provide a short and combinatorial proof that is a threshold for when the edge density of is 1, a result originally due to Kaibel and Remshagen. We next resolve an open question from their paper by showing that for , exhibits strong edge expansion. In particular, we prove that, with high probability, every vertex has degree . Lastly, we determine the threshold for being a clique, strengthening a result of Bondarenko and Brodskiy. We show that with high probability, if , then is not a clique, and if , then is a clique, where . Our approach combines a combinatorial characterization of edges in graphs arising from polytopes with the Kim–Vu polynomial concentration inequality.

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Publication Details

Journal
Bulletin of the London Mathematical Society
Published
2026-07-24
DOI
https://doi.org/10.1112/blms.70456
Primary Topic
Limits and Structures in Graph Theory
Type
article
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article

When is the graph of a random 0/1 polytope a clique?

Catherine Babecki, Asaf Ferber, Tycho Elling
Bulletin of the London Mathematical Society
Limits and Structures in Graph Theory
article

When is the graph of a random 0/1 polytope a clique?

Catherine Babecki, Asaf Ferber, Tycho Elling
article en

Abstract

Abstract We study graph‐theoretic properties of random polytopes. Specifically, let be a random subset where each point is included independently with probability , and consider the graph of the polytope . We provide a short and combinatorial proof that is a threshold for when the edge density of is 1, a result originally due to Kaibel and Remshagen. We next resolve an open question from their paper by showing that for , exhibits strong edge expansion. In particular, we prove that, with high probability, every vertex has degree . Lastly, we determine the threshold for being a clique, strengthening a result of Bondarenko and Brodskiy. We show that with high probability, if , then is not a clique, and if , then is a clique, where . Our approach combines a combinatorial characterization of edges in graphs arising from polytopes with the Kim–Vu polynomial concentration inequality.

Bulletin of the London Mathematical SocietyVol. 58(8)
California Institute of Technology (US), University of California, Irvine (US)
Reduced inequalities
Openalex Percentile: Top 3%
Limits and Structures in Graph Theory
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When is the graph of a random 0/1 polytope a clique? — Catherine Babecki, Asaf Ferber, et al. · Bulletin of the London Mathematical Society (2026) | TGRS Research Map | TGRS