Towards the Erd\H{o}s-Hajnal conjecture for $P_5$-free graphs
Pablo Blanco, Matija Buci\'c

TL;DR
This paper advances the Erd ext{"o}s-Hajnal conjecture for $P_5$-free graphs by establishing a new lower bound on the size of guaranteed large cliques or independent sets, improving previous results significantly.
Contribution
It provides the first substantial improvement on the lower bound for the Erd ext{"o}s-Hajnal conjecture in the case of $P_5$-free graphs, using novel methods that also apply to an infinite family of graphs.
Findings
Established a lower bound of $2^{ ext{Omega}(( ext{log } n)^{2/3})}$ for $P_5$-free graphs.
Extended the improved bounds to an infinite family of graphs.
Enhanced understanding of structure in $P_5$-free graphs related to the Erd ext{"o}s-Hajnal conjecture.
Abstract
The Erd\H{o}s-Hajnal conjecture is one of the most classical and well-known problems in extremal and structural combinatorics dating back to 1977. It asserts that in stark contrast to the case of a general -vertex graph if one imposes even a little bit of structure on the graph, namely by forbidding a fixed graph as an induced subgraph, instead of only being able to find a polylogarithmic size clique or an independent set one can find one of polynomial size. Despite being the focus of considerable attention over the years the conjecture remains open. In this paper we improve the best known lower bound of on this question, due to Erd\H{o}s and Hajnal from 1989, in the smallest open case, namely when one forbids a , the path on vertices. Namely, we show that any -free vertex graph contains a clique or an independent set of size at least…
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 · Graph Labeling and Dimension Problems
