Dynamical TAP equations for non-equilibrium Ising spin glasses
arXiv:1103.1044 · doi:10.1088/1742-5468/2011/03/P03031
Abstract
We derive and study dynamical TAP equations for Ising spin glasses obeying both synchronous and asynchronous dynamics using a generating functional approach. The system can have an asymmetric coupling matrix, and the external fields can be time-dependent. In the synchronously updated model, the TAP equations take the form of self consistent equations for magnetizations at time , given the magnetizations at time . In the asynchronously updated model, the TAP equations determine the time derivatives of the magnetizations at each time, again via self consistent equations, given the current values of the magnetizations. Numerical simulations suggest that the TAP equations become exact for large systems.
accepted for publication in JSTAT
References in corpus (7)
- Identification of direct residue contacts in protein-protein interaction by message passing
- The Ising Model for Neural Data: Model Quality and Approximate Methods for Extracting Functional Connectivity
- Mean Field Theory For Non-Equilibrium Network Reconstruction
- Dynamical TAP approach to mean field glassy systems
- Network inference using asynchronously updated kinetic Ising Model
- Statistical Mechanics of Recurrent Neural Networks II. Dynamics
- Order Parameter Flow in the SK Spin-Glass I: Replica Symmetry
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