Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-03-13
J. Stat. Mech. (2009) P07022
Physics
Condensed Matter
Disordered Systems and Neural Networks
This is published version, 11 pages, 1 figure
Scientific paper
Boltzmann-Gibbs measures generated by logarithmically correlated random potentials are multifractal. We investigate the abrupt change ("pre-freezing") of multifractality exponents extracted from the averaged moments of the measure - the so-called inverse participation ratios. The pre-freezing can be identified with termination of the disorder-averaged multifractality spectrum. Naive replica limit employed to study a one-dimensional variant of the model is shown to break down at the pre-freezing point. Further insights are possible when employing zero-dimensional and infinite-dimensional versions of the problem. In particular, the latter version allows one to identify the pattern of the replica symmetry breaking responsible for the pre-freezing phenomenon.
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