Random k-SAT: Two Moments Suffice to Cross a Sharp Threshold
Dimitris Achlioptas, Cristopher Moore

TL;DR
This paper demonstrates that analyzing the first and second moments of solutions in certain NP-complete problems precisely identifies the phase transition threshold, resolving a longstanding open problem for random k-SAT.
Contribution
It shows that two moments suffice to accurately determine the sharp threshold for random k-SAT and related problems, providing nearly tight bounds and resolving a major open question.
Findings
Threshold for hypergraph 2-colorability is 2^{k-1} ln 2 - O(1).
Threshold for NAE k-SAT is similar, at 2^{k-1} ln 2 - O(1).
Threshold for random k-SAT is Theta(2^k), confirming long-standing conjecture.
Abstract
Many NP-complete constraint satisfaction problems appear to undergo a "phase transition'' from solubility to insolubility when the constraint density passes through a critical threshold. In all such cases it is easy to derive upper bounds on the location of the threshold by showing that above a certain density the first moment (expectation) of the number of solutions tends to zero. We show that in the case of certain symmetric constraints, considering the second moment of the number of solutions yields nearly matching lower bounds for the location of the threshold. Specifically, we prove that the threshold for both random hypergraph 2-colorability (Property B) and random Not-All-Equal k-SAT is 2^{k-1} ln 2 -O(1). As a corollary, we establish that the threshold for random k-SAT is of order Theta(2^k), resolving a long-standing open problem.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · Advanced Graph Theory Research · Computational Geometry and Mesh Generation
