English

Pre-freezing of multifractal exponents in Random Energy Models with logarithmically correlated potential

Disordered Systems and Neural Networks 2015-05-13 v2 Statistical Mechanics

Abstract

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.

Keywords

Cite

@article{arxiv.0903.2502,
  title  = {Pre-freezing of multifractal exponents in Random Energy Models with logarithmically correlated potential},
  author = {Yan V Fyodorov},
  journal= {arXiv preprint arXiv:0903.2502},
  year   = {2015}
}

Comments

This is published version, 11 pages, 1 figure