English

$T \to 0$ mean-field population dynamics approach for the random 3-satisfiability problem

Disordered Systems and Neural Networks 2008-09-25 v2

Abstract

During the past decade, phase-transition phenomena in the random 3-satisfiability (3-SAT) problem has been intensively studied by statistical physics methods. In this work, we study the random 3-SAT problem by the mean-field first-step replica-symmetry-broken cavity theory at the limit of temperature T0T\to 0. The reweighting parameter yy of the cavity theory is allowed to approach infinity together with the inverse temperature β\beta with fixed ratio r=y/βr=y / \beta. Focusing on the the system's space of satisfiable configurations, we carry out extensive population dynamics simulations using the technique of importance sampling and we obtain the entropy density s(r)s(r) and complexity Σ(r)\Sigma(r) of zero-energy clusters at different rr values. We demonstrate that the population dynamics may reach different fixed points with different types of initial conditions. By knowing the trends of s(r)s(r) and Σ(r)\Sigma(r) with rr, we can judge whether a certain type of initial condition is appropriate at a given rr value. This work complements and confirms the results of several other very recent theoretical studies.

Cite

@article{arxiv.0801.0205,
  title  = {$T \to 0$ mean-field population dynamics approach for the random 3-satisfiability problem},
  author = {Haijun Zhou},
  journal= {arXiv preprint arXiv:0801.0205},
  year   = {2008}
}

Comments

10 pages with 5 figures. Extensively revised. PRE published version

R2 v1 2026-06-21T09:58:35.453Z