Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-12-15
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 5 figures
Scientific paper
We study stationary states in a diluted asymmetric (kinetic) Ising model. We apply the recently introduced dynamic cavity method to compute magnetizations of these stationary states. Depending on the update rule, different versions of the dynamic cavity method apply. We here study synchronous updates and random sequential updates, and compare local properties computed by the dynamic cavity method to numerical simulations. Using both types of updates, the dynamic cavity method is highly accurate at high enough temperatures. At low enough temperatures, for sequential updates the dynamic cavity method tends to a fixed point, but which does not agree with numerical simulations, while for parallel updates, the dynamic cavity method may display cyclic behavior. When it converges and is accurate, the dynamic cavity method offers a huge speed-up compared to Monte Carlo, particularly for large systems.
Aurell Erik
Mahmoudi Hamed
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