Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-12-03
Phys. Rev. B 68, 224404 (2003).
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, RevTex, 9 figures
Scientific paper
10.1103/PhysRevB.68.224404
We study the probability distribution P(E) of the ground state energy E in various Ising spin glasses. In most models, P(E) seems to become Gaussian with a variance growing as the system's volume V. Exceptions include the Sherrington-Kirkpatrick model (where the variance grows more slowly, perhaps as the square root of the volume), and mean field diluted spin glasses having +/-J couplings. We also find that the corrections to the extensive part of the disorder averaged energy grow as a power of the system size; for finite dimensional lattices, this exponent is equal, within numerical precision, to the domain-wall exponent theta_DW. We also show how a systematic expansion of theta_DW in powers of exp(-d) can be obtained for Migdal-Kadanoff lattices. Some physical arguments are given to rationalize our findings.
Bouchaud Jean-Philippe
Krzakala Florent
Martin Olivier C.
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