Canonical structure and orthogonality of forces and currents in irreversible Markov chains
arXiv:1708.01453 · doi:10.1007/s10955-018-1986-0
Abstract
We discuss a canonical structure that provides a unifying description of dynamical large deviations for irreversible finite state Markov chains (continuous time), Onsager theory, and Macroscopic Fluctuation Theory. For Markov chains, this theory involves a non-linear relation between probability currents and their conjugate forces. Within this framework, we show how the forces can be split into two components, which are orthogonal to each other, in a generalised sense. This splitting allows a decomposition of the pathwise rate function into three terms, which have physical interpretations in terms of dissipation and convergence to equilibrium. Similar decompositions hold for rate functions at level 2 and level 2.5. These results clarify how bounds on entropy production and fluctuation theorems emerge from the underlying dynamical rules. We discuss how these results for Markov chains are related to similar structures within Macroscopic Fluctuation Theory, which describes hydrodynamic limits of such microscopic models.c Fluctuation Theory, which describes hydrodynamic limits of such microscopic models.
36 page, 1 figure
References in corpus (6)
- The large deviation approach to statistical mechanics
- First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
- Inferring dissipation from current fluctuations
- Tightening the uncertainty principle for stochastic currents
- Acceleration of convergence to equilibrium in Markov chains by breaking detailed balance
- Gibbsian stationary non equilibrium states
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