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Oscillations in feedback-driven systems: Thermodynamics and noise
Daniele De Martino1,2,3, Andre C Barato4
1Jozef Stefan Institute, Jamova Cesta 39, 1000 Ljubjlana, Slovenia.
Physical Review. E
|January 23, 2020
Summary
This study explores oscillations in feedback-driven systems using stochastic thermodynamics. It reveals that coherent oscillations can persist indefinitely with diverging thermodynamic cost, even with thermal fluctuations.
Area of Science:
- Statistical physics
- Non-equilibrium thermodynamics
- Complex systems
Background:
- Oscillations are key in autonomous biochemical clocks and driven systems like time crystals.
- Previous research focused on autonomous and periodically driven systems, with less on feedback-driven ones.
- Understanding thermodynamic costs and noise effects in oscillations is crucial.
Purpose of the Study:
- To systematically investigate oscillations in feedback-driven nonequilibrium systems.
- To analyze the role of noise and thermodynamic cost in these oscillations.
- To explore the relationship between precision and dissipation in feedback-driven oscillations.
Main Methods:
- Utilized the framework of stochastic thermodynamics.
- Analyzed a simple two-state model to study precision-dissipation relations.
- Investigated a complex Ising model with feedback between magnetization and external field.
Main Results:
- Demonstrated that oscillations can maintain coherence indefinitely in finite systems with thermal fluctuations, at the cost of diverging thermodynamic dissipation.
- Observed subharmonic oscillations in the feedback-driven Ising model, analogous to time crystals.
- Confirmed the second law for feedback-driven oscillating systems, showing positive total entropy change (including informational terms) despite potentially negative heat dissipation.
Conclusions:
- Feedback-driven systems represent a distinct class for studying nonequilibrium oscillations.
- High precision in feedback-driven oscillations can be achieved but requires significant thermodynamic cost.
- The study provides insights into entropy production and phase transitions in driven complex systems.
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