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 and replicas. Replicas in the first (second) group experience an positive (negative) small field conjugate to the observable considered and the limit is to be taken in the end. Applications to the random-field Ising model and to the Sherrington-Kirkpatrick model are discussed.
Cite
@article{arxiv.1403.1828,
title = {A replica trick for rare samples},
author = {Tommaso Rizzo},
journal= {arXiv preprint arXiv:1403.1828},
year = {2014}
}