Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-07-09
J. Phys. A: Math. Theor. 43 (2010) 485004
Physics
Condensed Matter
Disordered Systems and Neural Networks
30 pages, 11 figures; minor changes
Scientific paper
10.1088/1751-8113/43/48/485004
We study the random energy model with a hierarchical structure known as the generalized random energy model (GREM). In contrast to the original analysis by the microcanonical ensemble formalism, we investigate the GREM by the canonical ensemble formalism in conjunction with the replica method. In this analysis, spin-glass-order parameters are defined for respective hierarchy level, and all possible patterns of replica symmetry breaking (RSB) are taken into account. As a result, we find that the higher step RSB ansatz is useful for describing spin-glass phases in this system. For investigating the nature of the higher step RSB, we generalize the notion of complexity developed for the one-step RSB to the higher step and demonstrate how the GREM is characterized by the generalized complexity. In addition, we propose a novel mean-field spin-glass model with a hierarchical structure, which is equivalent to the GREM at a certain limit. We also show that the same hierarchical structure can be implemented to other mean-field spin models than the GREM. Such models with hierarchy exhibit phase transitions of multiple steps in common.
Obuchi Tomoyuki
Takahashi Kazutaka
Takeda Koujin
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