English

A replica trick for rare samples

Disordered Systems and Neural Networks 2014-05-05 v1 Statistical Mechanics

Abstract

In the context of disordered systems with quenched Hamiltonians I address the problem of characterizing rare samples where the thermal average of a specific observable has a value different from the typical one. These rare samples can be selected through a variation of the replica trick which amounts to replicate the system and divide the replicas in two groups containing respectively MM and M-M replicas. Replicas in the first (second) group experience an positive (negative) small field O(1/M)O(1/M) conjugate to the observable considered and the MM \rightarrow \infty limit is to be taken in the end. Applications to the random-field Ising model and to the Sherrington-Kirkpatrick model are discussed.

Keywords

Cite

@article{arxiv.1403.1828,
  title  = {A replica trick for rare samples},
  author = {Tommaso Rizzo},
  journal= {arXiv preprint arXiv:1403.1828},
  year   = {2014}
}
R2 v1 2026-06-22T03:22:29.992Z