The maximum number of cliques in graphs without long cycles
Ruth Luo

TL;DR
This paper generalizes classical extremal graph results to bound the number of s-cliques in graphs without long cycles, identifying extremal structures and extending to graphs with no long paths.
Contribution
It extends Kopylov's theorem to bound s-cliques in graphs with limited cycle length and characterizes extremal graphs maximizing clique counts.
Findings
Extends Kopylov's theorem to s-cliques
Identifies extremal graphs for clique counts
Provides extremal number of s-cliques in graphs without long paths
Abstract
The Erd\H{o}s--Gallai Theorem states that for every graph on vertices with more than edges contains a cycle of length at least . Kopylov proved a strengthening of this result for 2-connected graphs with extremal examples and . In this note, we generalize the result of Kopylov to bound the number of -cliques in a graph with circumference less than . Furthermore, we show that the same extremal examples that maximize the number of edges also maximize the number of cliques of any fixed size. Finally, we obtain the extremal number of -cliques in a graph with no path on -vertices.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLimits and Structures in Graph Theory · Graph theory and applications · Advanced Graph Theory Research
