Related Experiment Videos
Rules for transition rates in nonequilibrium steady states
1School of Physics and Astronomy, University of Leeds, LS2 9JT, United Kingdom.
Physical Review Letters
|June 1, 2004
Summary
Constraints on transition rates in driven steady states are derived using maximum information-entropy inference. These constraints explain nonequilibrium phase behavior and long-range interactions in systems like driven diffusion and sheared fluids.
Area of Science:
- Statistical Mechanics
- Non-equilibrium Thermodynamics
- Information Theory
Background:
- Canonical ensembles obey detailed balance, a fundamental principle governing transition rates.
- Driven systems exist in steady states far from equilibrium, where detailed balance does not hold.
- Understanding transition rates in these driven steady states is crucial for characterizing their behavior.
Purpose of the Study:
- To derive fundamental constraints on transition rates in driven steady states.
- To apply these constraints to specific physical systems, namely driven diffusion and sheared lattice fluids.
- To explore the potential of the derived ensemble to explain nonequilibrium phase behavior and emergent interactions.
Main Methods:
- Maximum information-entropy inference was employed to derive the constraints.
- The derived constraints were applied to analyze the steady states of driven diffusion models.
- The framework was also applied to a sheared lattice fluid model.
Main Results:
- Novel constraints on transition rates for driven steady states were successfully derived.
- The application to driven diffusion and sheared lattice fluids revealed specific implications of these constraints.
- For steady shear, the study identified stress-mediated long-range interactions.
Conclusions:
- The derived constraints provide a theoretical basis for understanding nonequilibrium steady states.
- The framework offers potential explanations for observed nonequilibrium phase behavior.
- The identification of stress-mediated interactions opens new avenues for research in driven soft matter and fluid dynamics.