Extensions of Erd\H{o}s-Gallai Theorem and Luo's Theorem with Applications
Bo Ning, Xing Peng

TL;DR
This paper extends the Erd ext{o}s-Gallai Theorem by relating the existence of long paths to clique counts, improving bounds, and applying these results to spectral extremal graph theory and cycle length problems.
Contribution
It introduces a novel extension of the Erd ext{o}s-Gallai Theorem linking path length to clique counts, and applies this to bounds on clique numbers and cycle lengths.
Findings
Extended Erd ext{o}s-Gallai Theorem with new path bounds
Constructed graphs demonstrating improved estimates
Applied results to spectral extremal graph theory
Abstract
The famous Erd\H{o}s-Gallai Theorem on the Tur\'an number of paths states that every graph with vertices and edges contains a path with at least edges. In this note, we first establish a simple but novel extension of the Erd\H{o}s-Gallai Theorem by proving that every graph contains a path with at least edges, where denotes the number of -cliques in for . We also construct a family of graphs which shows our extension improves the estimate given by Erd\H{o}s-Gallai Theorem. Among applications, we show, for example, that the main results of \cite{L17}, which are on the maximum possible number of -cliques in an -vertex graph without a path with vertices (and without cycles of length at least ), can be easily deduced from this extension. Indeed, to prove these results, Luo…
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.
