Abstract
Physicists understand mean-field spin-glass models as possessing a complex free-energy landscape with many equilibrium states. The problem of chaos concerns the evolution of this landscape upon changing the external parameters of the system and is considered relevant for the interpretation of important features of real spin-glass and for understanding the performance of numerical algorithms. The subject is strongly related to that of constrained systems which is considered by mathematicians the natural framework for proving rigorously some of the most peculiar properties of Parisi’s replicasymmetry-breaking solution of mean-field spin-glass models, notably ultrametricity. Many aspects of the problems turned out to possess an unexpected level of difficulty and are still open. We present the results of the physics literature on the subject and discuss the main unsolved problems from a wider perspective.
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References
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Rizzo, T. (2009). Chaos in Mean-field Spin-glass Models. In: de Monvel, A.B., Bovier, A. (eds) Spin Glasses: Statics and Dynamics. Progress in Probability, vol 62. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-9891-0_6
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