On the anti-Ramsey threshold for non-balanced graphs
Pedro Ara\'ujo, Ta\'isa Martins, Let\'icia Mattos, Walner, Mendon\c{c}a, Luiz Moreira, Guilherme O. Mota

TL;DR
This paper develops a framework to identify a broader class of graphs for which the anti-Ramsey threshold in random graphs is smaller than previously established bounds, extending known results and including new examples.
Contribution
It introduces a new framework that encompasses all previously known graphs with smaller anti-Ramsey thresholds and reveals a richer family of such graphs.
Findings
Framework includes all previously known examples
Identifies a larger family of graphs with smaller thresholds
Extends understanding of anti-Ramsey thresholds in random graphs
Abstract
For graphs and , we write if any proper edge-coloring of contains a rainbow copy of , i.e., a copy where no color appears more than once. Kohayakawa, Konstadinidis and the last author proved that the threshold for is at most . Previous results have matched the lower bound for this anti-Ramsey threshold for cycles and complete graphs with at least 5 vertices. Kohayakawa, Konstadinidis and the last author also presented an infinite family of graphs for which the anti-Ramsey threshold is asymptotically smaller than . In this paper, we devise a framework that provides a richer and more complex family of such graphs that includes all the previously known examples.
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.
