Large deviations for the Skew-Detailed-Balance Lifted-Markov processes to sample the equilibrium distribution of the Curie-Weiss model
arXiv:2106.09429 · doi:10.1088/1742-5468/ac22f9
Abstract
Among the Markov chains breaking detailed-balance that have been proposed in the field of Monte-Carlo sampling in order to accelerate the convergence towards the steady state with respect to the detailed-balance dynamics, the idea of 'Lifting' consists in duplicating the configuration space into two copies and in imposing directed flows in each copy in order to explore the configuration space more efficiently. The skew-detailed-balance Lifted-Markov-chain introduced by K. S. Turitsyn, M. Chertkov and M. Vucelja [Physica D Nonlinear Phenomena 240 , 410 (2011)] is revisited for the Curie-Weiss mean-field ferromagnetic model, where the dynamics for the magnetization is closed. The large deviations at various levels for empirical time-averaged observables are analyzed and compared with their detailed-balance counterparts, both for the discrete extensive magnetization and for the continuous intensive magnetization for large system-size .
v3=final version (40 pages); v2=revised version (39 pages) : reorganization into a shorter text and five appendices
References in corpus (10)
- The large deviation approach to statistical mechanics
- Non equilibrium steady states: fluctuations and large deviations of the density and of the current
- Dynamic first-order phase transition in kinetically constrained models of glasses
- First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
- Steady state statistics of driven diffusions
- Construction of a Coordinate Bethe Ansatz for the asymmetric simple exclusion process with open boundaries
- A minimal model of dynamical phase transition
- Irreversible Langevin samplers and variance reduction: a large deviation approach
- Dynamical large deviations of reflected diffusions
- Thermodynamic formalism and large deviation functions in continuous time Markov dynamics
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