The linear phase transition conjecture for random K-SAT

From papers

A random K-SAT instance has nn Boolean variables and m=cnm=cn clauses, where cc is the clause-to-variable ratio and KK is the number of literals per clause. The linear phase transition conjecture. For every K2K\geq 2 there exists a constant cKc^*_K such that a random K-SAT formula is satisfiable when c<cKc<c^*_K and is not satisfiable when c>cKc>c^*_K, with high probability as nn\to\infty. Equivalently, satisfiability undergoes a linear sharp phase transition at m=cKnm=c^*_Kn. The sharp phase transition is known in a more general setting, and the case K=2K=2 is solved with c2=1c^*_2=1; the existence of the linear threshold for higher KK is the outstanding part of the conjecture.

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Primary source

David Gamarnik, “Linear Phase Transition in Random Linear Constraint Satisfaction Problem”, arXiv:math/0210470 (2003).

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