Resolving the Kohayakawa--Kreuter Conjecture for Families
Matthew Yancey

TL;DR
This paper proves a conjecture about partitioning sparse graphs into specific subgraphs and confirms a threshold for a random graph property related to Ramsey theory for graph families.
Contribution
It fully proves the conjecture on partitioning $(a,b)$-sparse graphs and links it to the Kohayakawa--Kreuter Conjecture for Families in random graph theory.
Findings
Confirmed the conjecture on partitioning $(a,b)$-sparse graphs.
Established the threshold function for the Ramsey property in random graphs.
Connected the graph partitioning conjecture to the Kohayakawa--Kreuter Conjecture for Families.
Abstract
A graph is -sparse if every nonempty subgraph satisfies . We are interested in the conditions under which an -sparse graph can be partitioned such that for we have that is -sparse. Kuperwasser, Samotij, and Wigderson conjectured that a -sparse graph can be partitioned into a -sparse graph and a -sparse graph. We prove the conjecture in full. The Kohayakawa--Kreuter Conjecture for Families claims that is the threshold function for the random graph being Ramsey a.a.s. for graph families . Kuperwasser, Samotij, and Wigderson motivated their conjecture by proving that it is sufficient to establish the Kohayakawa--Kreuter Conjecture for Families.
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.
