Determines the threshold number of random edges to add to a dense graph to guarantee the asymmetric vertex-Ramsey property for any r and any graph tuple with high probability.
Resolving the Kohayakawa--Kreuter Conjecture for Families
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
A graph $G$ is $(a,b)$-sparse if every nonempty subgraph $H$ satisfies $e(H) \leq a v(H) - b$. We are interested in the conditions under which an $(a,b)$-sparse graph can be partitioned $E(G) = E(G_1) \cup E(G_2)$ such that for $i \in \{1,2\}$ we have that $G_i$ is $(a_i, b_i)$-sparse. Kuperwasser, Samotij, and Wigderson conjectured that a $(m,0)$-sparse graph can be partitioned into a $(1,1)$-sparse graph and a $(m,2m-1)$-sparse graph. We prove the conjecture in full. The Kohayakawa--Kreuter Conjecture for Families claims that $n^{-1/m_2}$ is the threshold function for the random graph being Ramsey a.a.s. for graph families $\mathcal{H}_1, \ldots \mathcal{H}_r$. Kuperwasser, Samotij, and Wigderson motivated their conjecture by proving that it is sufficient to establish the Kohayakawa--Kreuter Conjecture for Families.
fields
math.CO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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The threshold for the asymmetric vertex-Ramsey property in randomly perturbed graphs
Determines the threshold number of random edges to add to a dense graph to guarantee the asymmetric vertex-Ramsey property for any r and any graph tuple with high probability.