Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1996-12-09
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, LaTex, 14 PostScript figures. Submitted to Journal of Physics A. A minor error was fixed
Scientific paper
Monte Carlo simulations on the SK model have been done to investigate aging processes after a rapid quench from $T=\infty$ to the spin-glass phase. The time range of simulations is taken care of so that the system does not surmount free-energy barriers between the pure states which are considered to diverge in the thermodynamic limit. We simulate time evolutions of extensive energy of the system, Parisi's overlap distribution function, auto-correlation and clones-correlation functions, distribution functions of the two correlations, and magnetization induced by the field applied after a certain waiting time. The data simulated exhibit a rich variety of aging phenomena. Most of them can be interpreted in a unified way, though qualitatively, by the scenario of ``growth of quasi-equilibrium domains'' which we will introduce in this work. More surprisingly, they suggest strongly that a basin of attraction of one dominant pure state spans almost an entire phase space of the system with a common time-reversal symmetry.
Hukushima Koji
Takayama Hajime
Yoshino Hajime
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