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Main Authors: Basse-O'Connor, Andreas, Skjøtt, Mette
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.15940
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author Basse-O'Connor, Andreas
Skjøtt, Mette
author_facet Basse-O'Connor, Andreas
Skjøtt, Mette
contents The random $k$-SAT problem serves as a model that represents the 'typical' $k$-SAT instances. This model is thought to undergo a phase transition as the clause density changes, and it is believed that the random $k$-SAT problem is primarily difficult to solve near this critical phase. In this paper, we introduce a weak formulation of degrees of freedom for random $k$-SAT problems and demonstrate that the critical random $2$-SAT problem has $\sqrt[3]{n}$ degrees of freedom. This quantity represents the maximum number of variables that can be assigned truth values without affecting the formula's satisfiability. Notably, the value of $\sqrt[3]{n}$ differs significantly from the degrees of freedom in random $2$-SAT problems sampled below the satisfiability threshold, where the corresponding value equals $\sqrt{n}$. Thus, our result underscores the significant shift in structural properties and variable dependency as satisfiability problems approach criticality.
format Preprint
id arxiv_https___arxiv_org_abs_2505_15940
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Degrees of Freedom for Critical Random 2-SAT
Basse-O'Connor, Andreas
Skjøtt, Mette
Probability
The random $k$-SAT problem serves as a model that represents the 'typical' $k$-SAT instances. This model is thought to undergo a phase transition as the clause density changes, and it is believed that the random $k$-SAT problem is primarily difficult to solve near this critical phase. In this paper, we introduce a weak formulation of degrees of freedom for random $k$-SAT problems and demonstrate that the critical random $2$-SAT problem has $\sqrt[3]{n}$ degrees of freedom. This quantity represents the maximum number of variables that can be assigned truth values without affecting the formula's satisfiability. Notably, the value of $\sqrt[3]{n}$ differs significantly from the degrees of freedom in random $2$-SAT problems sampled below the satisfiability threshold, where the corresponding value equals $\sqrt{n}$. Thus, our result underscores the significant shift in structural properties and variable dependency as satisfiability problems approach criticality.
title Degrees of Freedom for Critical Random 2-SAT
topic Probability
url https://arxiv.org/abs/2505.15940