Introduction to Mean-Field Theory of Spin Glass Models
V\'aclav Jani\v{s}

TL;DR
This paper explores the mean-field theory of spin-glass models, addressing the limitations of earlier approaches, and introduces a comprehensive Parisi solution with hierarchical replica symmetry breaking applicable to various models.
Contribution
It provides a unified, closed-form representation of the Parisi mean-field theory that encompasses both continuous and discrete replica-symmetry breaking, applicable to multiple spin-glass models.
Findings
Hierarchical free energies and overlap susceptibilities serve as order parameters.
The Parisi solution can be expressed independently of finite-replica stability.
Different types of phase transitions are demonstrated in Ising, Potts, and p-spin models.
Abstract
We discuss the mean-field theory of spin-glass models with frustrated long-range random spin exchange. We analyze the reasons for breakdown of the simple mean-field theory of Sherrington and Kirkpatrick. We relate the replica-symmetry breaking to ergodicity breaking and use the concept of real replicas to restore thermodynamic homogeneity of the equilibrium free energy in a replicated phase space. Embedded replications of the spin variables result in a set of hierarchical free energies and overlap susceptibilities between replica hierarchies as order parameters. The limit to infinite number of replica hierarchies leads to the Parisi solution with a continuous replica-symmetry breaking. We present a closed-form representation of the Parisi mean-field theory that is independent from stability of solutions with finite-many replica hierarchies. Hence, solutions with continuous and discrete…
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Taxonomy
TopicsTheoretical and Computational Physics · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
