Acceleration of convergence to equilibrium in Markov chains by breaking detailed balance
DOI10.1007/s10955-017-1805-zzbMath1376.82059arXiv1611.06509OpenAlexW2556532521WikidataQ59614163 ScholiaQ59614163MaRDI QIDQ2410288
Marcus Kaiser, Robert L. Jack, Johannes Zimmer
Publication date: 17 October 2017
Published in: Journal of Statistical Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1611.06509
large deviationsconvergence to equilibriumzero-range processnon-equilibrium processesmacroscopic fluctuation theory
Interacting particle systems in time-dependent statistical mechanics (82C22) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Large deviations (60F10) Continuous-time Markov processes on discrete state spaces (60J27)
Related Items (11)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Variance reduction using nonreversible Langevin samplers
- Improving the convergence of reversible samplers
- Non-reversible Metropolis-Hastings
- Optimal non-reversible linear drift for the convergence to equilibrium of a diffusion
- Variance reduction for diffusions
- Large deviations of the empirical flow for continuous time Markov chains
- Accelerating diffusions
- Gradient flows of the entropy for finite Markov chains
- Nonequilibrium linear response for Markov dynamics. I: Jump processes and overdamped diffusions
- A formal view on level 2.5 large deviations and fluctuation relations
- Interaction of Markov processes
- Elliptic partial differential equations of second order
- Macroscopic fluctuation theory for stationary nonequilibrium states
- Analysis of a nonreversible Markov chain sampler.
- Cutoff phenomenon for the asymmetric simple exclusion process and the biased card shuffling
- Logarithmic Sobolev inequalities for finite Markov chains
- Stochastic simulation: Algorithms and analysis
- Lifting Markov chains to speed up mixing
- Irreversible Langevin samplers and variance reduction: a large deviations approach
- Nonequilibrium statistical mechanics of the zero-range process and related models
- Density profiles, dynamics, and condensation in the ZRP conditioned on an atypical current
- The Markov chain Monte Carlo revolution
- Asymptotic evaluation of certain markov process expectations for large time. IV
- Geometrical interpretation of fluctuating hydrodynamics in diffusive systems
- Non-equilibrium steady states: fluctuations and large deviations of the density and of the current
- Large deviations and gradient flows
- Large deviations
This page was built for publication: Acceleration of convergence to equilibrium in Markov chains by breaking detailed balance