Phase Transition in Realistic Random SAT Models1
Ansótegui Carlos, Bonet Maria Luisa, Levy Jordi · Frontiers in artificial intelligence and applications · 2019
Phase-transition in random SAT formulas is one of the properties best studied by theoretical SAT researchers. There exists a constant rk depending on k such that, if we choose randomly a k-SAT formula over n variables and m clauses, it will be satisfiable with high probability, if m/n < r, and unsatisfiable, otherwise. However, this criterion is useless in practice, because real-world or industrial instances have some properties not shown in random formulas. In the last years, several models of realistic random formulas have been proposed. Here we discuss about the phase transition in these models, and about the size of unsatisfiability proofs. We observe that in these models, like in real-world formulas, there is not a sharp phase transition, the transition occurs for smaller values of r, and the proofs on unsatisfiable formulas are smaller than in the classical random model. We also discuss about the strategies used by modern SAT solvers to exploit these properties.