Microscopic Fluctuation Theory (mFT) for interacting Poisson processes
arXiv:1811.04225 · doi:10.1088/1751-8121/ab0978
Abstract
While the Macroscopic Fluctuation Theory (MFT) is a renormalized theory in the hydrodynamic limit based on a space-time local Lagrangian that is Gaussian with respect to the empirical current, C. Maes, K. Netocny and B. Wynants [Markov Proc. Rel. Fields. 14, 445 (2008)] have derived a microscopic Fluctuation Theory (mFT) for independent Markov jump processes based on a space-time local Lagrangian that is Poissonian with respect to the empirical flow, in direct relation with the general theory of large deviations at 'Level 2.5' for Markovian processes. Here we describe how this approach can be generalized to the presence of interactions, that can be either zero-range or involve neighbors, either for closed systems or for open systems with reservoirs.
12 pages
References in corpus (8)
- 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
- Fluctuation theorems for stochastic dynamics
- First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
- Steady state statistics of driven diffusions
- Thermodynamic formalism and large deviation functions in continuous time Markov dynamics
- Matrix Product representation of the stationary state of the open Zero Range Process
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