A reformulation of the discrete Convexity Conjecture via k-thresholds
Ruben Ascoli, Xiaoyu He, Jinyoung Park, Michel Talagrand
Abstract
We introduce the notion of "k-thresholds'' and show that Talagrand's discrete convexity conjecture is equivalent to the assertion that, for some universal integer k 2, the k-threshold of every increasing family is at most a universal constant times its expectation threshold. We prove a reduction theorem that bounds the k-threshold of any increasing graph property in terms of ordinary thresholds of graphs in suitable decompositions of its members. As a consequence, we determine, up to a constant factor, the k-threshold of every fixed graph in terms of a natural k-density parameter. We also prove that k=2 suffices for several classical spanning graph containment properties. More generally, we establish the conjectured comparison between k-thresholds and expectation thresholds for broad classes of graph containment properties whose target graphs have low degeneracy.
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