An approach to chaos in some mixed p-spin models
Wei-Kuo Chen, Dmitry Panchenko

TL;DR
This paper investigates chaos phenomena in mixed p-spin models, demonstrating weak and strong chaos under certain conditions by analyzing overlaps and Parisi measures.
Contribution
It introduces new methods to establish weak and strong chaos in mixed p-spin models using overlap concentration and Parisi measure comparisons.
Findings
Weak chaos shown via overlap concentration around Gibbs average
Strong chaos results obtained through overlap control via Parisi measures
Provides conditions under which chaos phenomena occur in mixed p-spin models
Abstract
We consider the problems of chaos in disorder and temperature for coupled copies of the mixed p-spin models. Under certain assumptions on the parameters of the models we will first prove a weak form of chaos by showing that the overlap is concentrated around its Gibbs average depending on the disorder and then obtain several results toward strong chaos by providing control of the overlap between two systems in terms of their Parisi measures.
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
