Annealed averages in spin and matrix models - Université Paris Cité Accéder directement au contenu
Article Dans Une Revue SciPost Physics Année : 2022

Annealed averages in spin and matrix models

Résumé

A disordered system is denominated 'annealed' when the interactions themselves may evolve and adjust their values to lower the free energy. The opposite ('quenched') situation when disorder is fixed, is the one relevant for physical spin-glasses, and has received vastly more attention. Other problems however are more natural in the annealed situation: in this work we discuss examples where annealed averages are interesting, in the context of matrix models. We first discuss how in practice, when system and disorder adapt together, annealed systems develop 'planted' solutions spontaneously, as the ones found in the study of inference problems. In the second part, we study the probability distribution of elements of a matrix derived from a rotationally invariant (not necessarily Gaussian) ensemble, a problem that maps into the annealed average of a spin glass model.
Fichier principal
Vignette du fichier
FoiKur22.pdf (437.31 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03360638 , version 1 (30-09-2021)
hal-03360638 , version 2 (12-12-2022)

Licence

Paternité

Identifiants

Citer

Laura Foini, Jorge Kurchan. Annealed averages in spin and matrix models. SciPost Physics, 2022, 12 (3), pp.080. ⟨10.21468/SciPostPhys.12.3.080⟩. ⟨hal-03360638v2⟩
76 Consultations
59 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More