English

Finite size corrections to the Parisi overlap function in the GREM

Disordered Systems and Neural Networks 2018-02-14 v1

Abstract

We investigate the effects of finite size corrections on the overlap probabilities in the Generalized Random Energy Model (GREM) in two situations where replica symmetry is broken in the thermodynamic limit. Our calculations do not use replicas, but shed some light on what the replica method should give for finite size corrections. In the gradual freezing situation, which is known to exhibit full replica symmetry breaking, we show that the finite size corrections lead to a modification of the simple relations between the sample averages of the overlaps Yk Y_k between k k configurations predicted by replica theory. This can be interpreted as fluctuations in the replica block size with a \emph{negative} variance. The mechanism is similar to the one we found recently in the random energy model [1]. We also consider a simultaneous freezing situation, which is known to exhibit one step replica symmetry breaking. We show that finite size corrections lead to full replica symmetry breaking and give a more complete derivation of the results presented in [2] for the directed polymer on a tree.

Keywords

Cite

@article{arxiv.1710.04611,
  title  = {Finite size corrections to the Parisi overlap function in the GREM},
  author = {Bernard Derrida and Peter Mottishaw},
  journal= {arXiv preprint arXiv:1710.04611},
  year   = {2018}
}

Comments

21 pages, 2 figures

R2 v1 2026-06-22T22:11:47.111Z