Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-12-31
PRE 77 (2008) 066102
Physics
Condensed Matter
Disordered Systems and Neural Networks
10 pages with 5 figures. Extensively revised. PRE published version
Scientific paper
10.1103/PhysRevE.77.066102
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 $T\to 0$. The reweighting parameter $y$ of the cavity theory is allowed to approach infinity together with the inverse temperature $\beta$ with fixed ratio $r=y / \beta$. 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 $s(r)$ and complexity $\Sigma(r)$ of zero-energy clusters at different $r$ values. We demonstrate that the population dynamics may reach different fixed points with different types of initial conditions. By knowing the trends of $s(r)$ and $\Sigma(r)$ with $r$, we can judge whether a certain type of initial condition is appropriate at a given $r$ value. This work complements and confirms the results of several other very recent theoretical studies.
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