Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2004-05-14
Europhysics Letters 68 (2004) 153-159
Physics
Condensed Matter
Statistical Mechanics
7 pages; 3 figures
Scientific paper
10.1209/epl/i2004-10177-6
The probability P(alpha, N) that search algorithms for random Satisfiability problems successfully find a solution is studied as a function of the ratio alpha of constraints per variable and the number N of variables. P is shown to be finite if alpha lies below an algorithm--dependent threshold alpha\_A, and exponentially small in N above. The critical behaviour is universal for all algorithms based on the widely-used unitary propagation rule: P[ (1 + epsilon) alpha\_A, N] ~ exp[-N^(1/6) Phi(epsilon N^(1/3)) ]. Exponents are related to the critical behaviour of random graphs, and the scaling function Phi is exactly calculated through a mapping onto a diffusion-and-death problem.
Deroulers Christophe
Monasson Remi
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