An alternate view of complexity in k-SAT problems
arXiv:1412.2460 · doi:10.1103/PhysRevE.92.042144
Abstract
The satisfiability threshold for constraint satisfaction problems is that value of the ratio of constraints (or clauses) to variables, above which the probability that a random instance of the problem has a solution is zero in the large system limit. Two different approaches to obtaining this threshold have been discussed in the literature - using first or second-moment methods which give rigorous bounds or using the non-rigorous but powerful replica-symmetry breaking (RSB) approach, which gives very accurate predictions on random graphs. In this paper, we lay out a different route to obtaining this threshold on a Bethe lattice. We need make no assumptions about the solution-space structure, a key assumption in the RSB approach. Despite this, our expressions and threshold values exactly match the best predictions of the cavity method under the 1-RSB assumption. Our method hence provides alternate interpretations as well as motivations for the key equations in the RSB approach.
5 pages, 3 figures, typos corrected
References in corpus (7)
- Gibbs States and the Set of Solutions of Random Constraint Satisfaction Problems
- Reconstruction on trees and spin glass transition
- On the freezing of variables in random constraint satisfaction problems
- Entropy landscape and non-Gibbs solutions in constraint satisfaction problems
- Grand canonical and canonical solution of self-avoiding walks with up to three monomers per site on the Bethe lattice
- Adversarial Satisfiability Problem
- On the behaviour of random K-SAT on trees