Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
From MaRDI portal
Publication:3302764
DOI10.1088/1742-5468/2016/07/073208zbMath1456.82555arXiv1602.07966OpenAlexW2273902309MaRDI QIDQ3302764
Publication date: 11 August 2020
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1602.07966
Related Items (5)
Dynamical equivalence classes for Markov jump processes ⋮ Non-equivalence of dynamical ensembles and emergent non-ergodicity ⋮ Multi-point nonequilibrium umbrella sampling and associated fluctuation relations ⋮ Large deviations and optimal control forces for hard particles in one dimension ⋮ Effective Hamiltonians and Lagrangians for conditioned Markov processes at large volume
Cites Work
- Nonequilibrium Markov processes conditioned on large deviations
- Two refreshing views of fluctuation theorems through kinematics elements and exponential martingale
- Simulating rare events in dynamical processes
- Thermodynamic formalism for systems with Markov dynamics
- A Gallavotti-Cohen-type symmetry in the large deviation functional for stochastic dynamics
- Computation of current cumulants for small nonequilibrium systems
- Activity phase transition for constrained dynamics
- Asymptotic inference in system identification for the atom maser
- Large Deviations and Ensembles of Trajectories in Stochastic Models
- Fluctuating observation time ensembles in the thermodynamics of trajectories
- Inequivalence of nonequilibrium path ensembles: the example of stochastic bridges
- First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
- Exact solution of a 1D asymmetric exclusion model using a matrix formulation
- Thermodynamic Formalism
- Chaos, Scattering and Statistical Mechanics
- Nonequilibrium steady states of matrix-product form: a solver's guide
- Quantum noise. A handbook of Markovian and non-Markovian quantum stochastic methods with applications to quantum optics.
- Handbook of stochastic methods for physics, chemistry and the natural sciences.
This page was built for publication: Classical stochastic dynamics and continuous matrix product states: gauge transformations, conditioned and driven processes, and equivalence of trajectory ensembles
