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Published on: November 15, 2013
Dissipation Bounds the Coherence of Stochastic Limit Cycles.
Davide Santolin1, Gianmaria Falasco1
1INFN, Sezione di Padova, University of Padova, Department of Physics and Astronomy, Via Marzolo 8, I-35131 Padova, Italy and , Via Marzolo 8, I-35131 Padova, Italy.
Sustained oscillations in noisy systems are limited by the entropy produced per cycle. This dissipation-coherence bound applies to nonlinear systems and has implications for electronic computing and thermodynamic inference.
Area of Science:
- Nonlinear dynamics
- Statistical physics
- Thermodynamics
Background:
- Overdamped stochastic systems far from equilibrium can exhibit sustained oscillations.
- Fluctuations in these systems typically decrease as system size increases.
- The relationship between oscillation coherence and energy dissipation in such systems is a key area of study.
Purpose of the Study:
- To establish an upper bound on the correlation time of noisy limit cycles in overdamped stochastic systems.
- To connect this bound to the entropy produced per oscillation.
- To explore the practical implications of this bound for various scientific and technological applications.
Main Methods:
- Mathematical proof for first-order nonlinear systems in arbitrary dimensions.
- Analysis of systems perturbed by weak, uncorrelated Gaussian noise.
- Extension of the derived constraint to more general stochastic dynamics.
Main Results:
- A proven constraint relating correlation time (in units of cycle period) to entropy production per oscillation.
- Demonstration that this dissipation-coherence bound holds for first-order nonlinear systems.
- Validation of the bound's applicability to systems like electronic and chemical clocks.
Conclusions:
- The entropy produced per oscillation fundamentally limits the coherence of noisy limit cycles in overdamped systems.
- This finding provides a universal thermodynamic constraint on the performance of oscillating systems.
- The dissipation-coherence bound is relevant for optimizing energy efficiency and information processing in areas such as electronic computing and thermodynamic inference.
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