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Spin Glasses: Statics and DynamicsA Short Course on Mean Field Spin Glasses

Spin Glasses: Statics and Dynamics: A Short Course on Mean Field Spin Glasses [We give a brief introduction to the theory of mean field models of spin glasses. This includes a concise presentation of the Random Energy model and the Generalized Random Energy model and the connection to the corresponding asymptotic models based on Poisson cascades. We also explain the nature of the Parisi solution of the Sherrington-Kirkpatrick model and its derivation via Gaussian interpolation methods.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Spin Glasses: Statics and DynamicsA Short Course on Mean Field Spin Glasses

Part of the Progress in Probability Book Series (volume 62)
Editors: de Monvel, Anne Boutet; Bovier, Anton

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References (48)

Publisher
Birkhäuser Basel
Copyright
© Birkhäuser Basel 2009
ISBN
978-3-7643-8999-4
Pages
3 –44
DOI
10.1007/978-3-7643-9891-0_1
Publisher site
See Chapter on Publisher Site

Abstract

[We give a brief introduction to the theory of mean field models of spin glasses. This includes a concise presentation of the Random Energy model and the Generalized Random Energy model and the connection to the corresponding asymptotic models based on Poisson cascades. We also explain the nature of the Parisi solution of the Sherrington-Kirkpatrick model and its derivation via Gaussian interpolation methods.]

Published: Dec 14, 2009

Keywords: 82B44; Mean field models; spin glasses; random energy model; Sherrington-Kirkpatrick model; Gaussian processes; interpolation; Parisi solution

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