The scaling window of the 2-sat transition (1999)
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@TECHREPORT{Bollobás99thescaling,
author = {Béla Bollobás and Christian Borgs and Jennifer T. Chayes and Jeong Han Kim and David B. Wilson},
title = {The scaling window of the 2-sat transition},
institution = {},
year = {1999}
}
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Abstract
Abstract. We consider the random 2-satisfiability problem, in which each instance is a formula that is the conjunction of m clauses of the form x ∨ y, chosen uniformly at random from among all 2-clauses on n Boolean variables and their negations. As m and n tend to infinity in the ratio m/n → α, the problem is known to have a phase transition at αc = 1, below which the probability that the formula is satisfiable tends to one and above which it tends to zero. We determine the finite-size scaling about this transition, namely the scaling of the maximal window W(n,δ) = (α−(n,δ),α+(n,δ)) such that the probability of satisfiability is greater than 1 − δ for α < α − and is less than δ for α> α+. We show that W(n,δ) = (1 − Θ(n −1/3),1 + Θ(n −1/3)), where the constants implicit in Θ depend on δ. We also determine the rates at which the probability of satisfiability approaches one and zero at the boundaries of the window. Namely, for m = (1 + ε)n, where ε may depend on n as long as |ε | is sufficiently small and |ε|n 1/3 is sufficiently large, we show that the probability of satisfiability decays like exp ( −Θ ( nε 3)) above the window, and goes to one like 1 − Θ ( n −1 |ε | −3) below the window. We prove these results by defining an order parameter for the transition and establishing its scaling behavior in n both inside and outside the window. Using this order parameter, we prove that the 2-SAT phase transition is continuous with an order parameter critical exponent of 1. We also determine the values of two other critical exponents, showing that the exponents of 2-SAT are identical to those of the random graph.







