One-step replica symmetry breaking of random regular NAE-SAT I
Danny Nam, Allan Sly, Youngtak Sohn

TL;DR
This paper proves that in random regular k-NAE-SAT, solutions condense into a bounded number of clusters as predicted by the one-step replica symmetry breaking theory, confirming the physical conjecture about solution space structure.
Contribution
It provides a rigorous proof that solutions in random regular k-NAE-SAT condense into a finite number of clusters, validating the 1RSB prediction for this class of problems.
Findings
Most solutions lie within a bounded number of clusters.
Solution overlaps concentrate at two specific values.
Method based on moment analysis of an infinite spin system.
Abstract
In a broad class of sparse random constraint satisfaction problems(CSP), deep heuristics from statistical physics predict that there is a condensation phase transition before the satisfiability threshold, governed by one-step replica symmetry breaking(1RSB). In fact, in random regular k-NAE-SAT, which is one of such random CSPs, it was verified \cite{ssz22} that its free energy is well-defined and the explicit value follows the 1RSB prediction. However, for any model of sparse random CSP, it has been unknown whether the solution space indeed condenses on O(1) clusters according to the 1RSB prediction. In this paper, we give an affirmative answer to this question for the random regular k-NAE-SAT model. Namely, we prove that with probability bounded away from zero, most of the solutions lie inside a bounded number of solution clusters whose sizes are comparable to the scale of the free…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsConstraint Satisfaction and Optimization · Bayesian Modeling and Causal Inference
