Energy Landscape Statistics of the Random Orthogonal Model

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dc.creatorEsposti, M. Degli
dc.creatorGiardina', C.
dc.creatorGraffi, S.
dc.date2002-07-29
dc.date.accessioned2026-07-25T14:49:01Z
dc.descriptionThe Random Orthogonal Model (ROM) of Marinari-Parisi-Ritort [MPR1,MPR2] is a model of statistical mechanics where the couplings among the spins are defined by a matrix chosen randomly within the orthogonal ensemble. It reproduces the most relevant properties of the Parisi solution of the Sherrington-Kirckpatrick model. Here we compute the energy distribution, and work out an extimate for the two-point correlation function. Moreover, we show exponential increase of the number of metastable states also for non zero magnetic field.
dc.description23 pages, 6 figures, submitted to J. Phys. A
dc.identifierhttps://arxiv.org/abs/cond-mat/0207681
dc.identifierhttp://arxiv.org/abs/cond-mat/0207681
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/28692
dc.subjectDisordered Systems and Neural Networks
dc.titleEnergy Landscape Statistics of the Random Orthogonal Model
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