Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1997-11-04
Physics
Condensed Matter
Disordered Systems and Neural Networks
16 pages, Plain TeX, uses Harvmac.tex, 4 ps figures, submitted to J. Phys. A: Math. Gen
Scientific paper
10.1088/0305-4470/31/18/005
We introduce a hierarchical class of approximations of the random Ising spin glass in $d$ dimensions. The attention is focused on finite clusters of spins where the action of the rest of the system is properly taken into account. At the lower level (cluster of a single spin) our approximation coincides with the SK model while at the highest level it coincides with the true $d$-dimensional system. The method is variational and it uses the replica approach to spin glasses and the Parisi ansatz for the order parameter. As a result we have rigorous bounds for the quenched free energy which become more and more precise when larger and larger clusters are considered.
Baviera Roberto
Pasquini Michele
Serva Maurizio
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