A variational description of the ground state structure in random satisfiability problems
Giulio Biroli, Remi Monasson, and Martin Weigt

TL;DR
This paper introduces a variational method to analyze the structure of solutions in random satisfiability problems, capturing phase transitions and solution space organization with improved accuracy over previous models.
Contribution
It develops a variational framework that reproduces known results and incorporates replica symmetry breaking, providing new insights into the solution space transitions in SAT problems.
Findings
Identifies two phase transitions in 3-SAT at α ≈ 3.96 and 4.48.
Calculates the number and distances of solution clusters.
Shows the SAT-UNSAT transition as a mixed first and second order transition.
Abstract
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our variational scheme accurately reproduces the known replica symmetric results and also allows for the inclusion of replica symmetry breaking effects. For the 3-SAT problem, we find two transitions as the ratio of logical clauses per Boolean variables increases. At the first one , a non-trivial organization of the solution space in geometrically separated clusters emerges. The multiplicity of these clusters as well as the typical distances between different solutions are calculated. At the second threshold , satisfying assignments disappear and a finite fraction of variables are overconstrained and take the same values in all optimal (though…
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