Bounds on current fluctuations in periodically driven systems

AC Barato, R Chetrite, A Faggionato… - New Journal of …, 2018 - iopscience.iop.org
New Journal of Physics, 2018iopscience.iop.org
Small nonequilibrium systems in contact with a heat bath can be analyzed with the
framework of stochastic thermodynamics. In such systems, fluctuations, which are not
negligible, follow universal relations such as the fluctuation theorem. More recently, it has
been found that, for nonequilibrium stationary states, the full spectrum of fluctuations of any
thermodynamic current is bounded by the average rate of entropy production and the
average current. However, this bound does not apply to periodically driven systems, such as …
Abstract
Small nonequilibrium systems in contact with a heat bath can be analyzed with the framework of stochastic thermodynamics. In such systems, fluctuations, which are not negligible, follow universal relations such as the fluctuation theorem. More recently, it has been found that, for nonequilibrium stationary states, the full spectrum of fluctuations of any thermodynamic current is bounded by the average rate of entropy production and the average current. However, this bound does not apply to periodically driven systems, such as heat engines driven by periodic variation of the temperature and artificial molecular pumps driven by an external protocol. We obtain a universal bound on current fluctuations for periodically driven systems. This bound is a generalization of the known bound for stationary states. In general, the average rate that bounds fluctuations in periodically driven systems is different from the rate of entropy production. We also obtain a local bound on fluctuations that leads to a trade-off relation between speed and precision in periodically driven systems, which constitutes a generalization to periodically driven systems of the so called thermodynamic uncertainty relation. From a technical perspective, our results are obtained with the use of a recently developed theory for 2.5 large deviations for Markov jump processes with time-periodic transition rates.
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