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Thermodynamic dual structure of linear-dissipative driven systems.
1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 26, 2005
Summary
Statistical entropy maximization can explain emergent order in driven systems. This study demonstrates that exact entropy, dependent on currents, predicts nonequilibrium order, challenging prior assumptions.
Area of Science:
- Thermodynamics
- Statistical Mechanics
- Non-equilibrium Systems
Background:
- Traditional assumptions suggest statistical entropy maximization cannot explain emergent order in driven dissipative systems.
- Existing models often require entropy production principles for robustness of order.
- This study challenges these long-held assumptions in non-equilibrium thermodynamics.
Purpose of the Study:
- To demonstrate that statistical entropy maximization can indeed account for emergent order in driven dissipative systems.
- To explore the role of exact entropy as a function of currents in predicting non-equilibrium phenomena.
- To provide a new thermodynamic framework for understanding order in systems far from equilibrium.
Main Methods:
- Analysis of simple models with driving and linear dissipation.
- Development of a thermodynamic dual structure based on exact entropy.
- Investigation of dynamical ensembles and their entropy functions.
Main Results:
- The exact entropy is shown to be a function of currents, not just equilibrium variables.
- A richer thermodynamic dual structure emerges from this dependence.
- This structure successfully predicts the emergence and robustness of non-equilibrium order.
Conclusions:
- The assumption that statistical entropy maximization fails for driven systems is invalid.
- Principles of entropy production are only necessary when using simplified, coarse-grained entropy.
- The findings have implications for understanding phenomena like thermal ratchets and Onsager cycling.