Thermodynamic Construction of an One-Step Replica-Symmetry-Breaking Solution in Finite Connectivity Spin Glasses
arXiv:0901.0754 · doi:10.1103/PhysRevE.80.011103
Abstract
An one-step replica-symmetry-breaking solution for finite connectivity spin-glass models with K body interaction is constructed at finite temperature using the replica method and thermodynamic constraints. In the absence of external fields, this construction provides a general extension of replica symmetric solution at finite replica number to one-step replica-symmetry-breaking solution. It is found that this result is formally equivalent to that of the one-step replica-symmetry-breaking cavity method. To confirm the validity of the obtained solution, Monte Carlo simulations are performed for K = 2 and 3. The thermodynamic quantities of the Monte Carlo results extrapolated to a large-size limit are consistent with those estimated by our solution for K = 2 at all simulated temperatures and for K = 3 except near the transition temperature.
11pages, 19 figures. Added content and references. Accepted to Phys. Rev. E
References in corpus (7)
- Large Deviations in the Free-Energy of Mean-Field Spin-Glasses
- Potts Glass on Random Graphs
- A Lattice Model for Colloidal Gels and Glasses
- Large Deviation Property of Free Energy in p-Body Sherrington-Kirkpatrick Model
- Replica symmetric spin glass field theory
- Complex Replica Zeros of Ising Spin Glass at Zero Temperature
- Typical Performance of Irregular Low-Density Generator-Matrix Codes for Lossy Compression
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- Calculation of 1RSB transition temperature of spin glass models on regular random graphs under the replica symmetric ansatz
- Replica analysis of Franz-Parisi potential for sparse systems