When do the Kahn-Kalai Bounds Provide Nontrivial Information?
Bryce Alan Christopherson, Jack Baretz

TL;DR
This paper investigates when the Kahn-Kalai bounds on critical probabilities in property thresholds provide meaningful information, establishing necessary and sufficient conditions for their nontriviality in large-scale combinatorial structures.
Contribution
It offers new necessary and sufficient conditions for the Kahn-Kalai bounds to be nontrivially informative in the asymptotic regime.
Findings
Necessary condition: minimal elements' collections must have finitely many nonempty intersections.
Sufficient conditions identified for bounds to be asymptotically perfect.
Sequences must occupy an expanding wedge in the power set, spreading across the structure.
Abstract
The Park-Pham theorem (previously known as the Kahn-Kalai conjecture), bounds the critical probability, , of the a non-trivial property that is closed under supersets by the product of a universal constant , the expectation threshold of the property, , and the logarithm of the size of the property's largest minimal element, . That is, the Park-Pham theorem asserts that . Since the critical probability always satisfies , one may ask when the upper bound posed by Kahn and Kalai gives us more information than this--that is, when is it true that ? In this short note, we provide a number of necessary conditions for this to happen and give a few sufficient conditions…
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Taxonomy
TopicsEconomic Policies and Impacts
