English

Large random correlations in individual mean field spin glass samples

Disordered Systems and Neural Networks 2011-02-23 v2

Abstract

We argue that complex systems must possess long range correlations and illustrate this idea on the example of the mean field spin glass model. Defined on the complete graph, this model has no genuine concept of distance, but the long range character of correlations is translated into a broad distribution of the spin-spin correlation coefficients for almost all realizations of the random couplings. When we sample the whole phase space we find that this distribution is so broad indeed that at low temperatures it essentially becomes uniform, with all possible correlation values appearing with the same probability. The distribution of correlations inside a single phase space valley is also studied and found to be much narrower.

Keywords

Cite

@article{arxiv.1010.3237,
  title  = {Large random correlations in individual mean field spin glass samples},
  author = {Alain Billoire and Imre Kondor and Jovanka Lukic and Enzo Marinari},
  journal= {arXiv preprint arXiv:1010.3237},
  year   = {2011}
}

Comments

Added a few references and a comment phrase

R2 v1 2026-06-21T16:29:11.163Z