Full Counting Statistics and Fluctuation–Dissipation Relation for Periodically Driven Two-State Systems
- 1. Tokyo Institute of Technology. Institute of Innovative Research (Japan)
- 2. NTT DATA Mathematical System Inc. (Japan)
- 3. Kyoto University. Yukawa Institute for Theoretical Physics (Japan)
- 4. RIKEN. iTHEMS Program (Japan)
- 5. Tokyo Institute of Technology. Department of Physics (Japan)
Description
We derive the fluctuation theorem for a stochastic and periodically driven system coupled to two reservoirs with the aid of a master equation. We write down the cumulant generating functions for both the current and entropy production in closed compact forms so as to treat the adiabatic and nonadiabatic contributions systematically. We derive the fluctuation theorem by taking into account the time reversal symmetry and the property that the instantaneous currents flowing into the left and the right reservoir are not equal. It is found that the fluctuation–dissipation relation derived from the fluctuation theorem involves an expansion with respect to the time derivative of the affinity.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 181
- Journal Issue
- 6
- Journal Page Range
- p. 2206-2224
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55090204
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- AFFINITY; DYNAMICAL SYSTEMS; ENTROPY; EQUATIONS; EXPANSION; FLUCTUATIONS; FUNCTIONS; LIMIT CYCLE; MATHEMATICAL EVOLUTION; PARTICLE PRODUCTION; PERIODICITY; SERIES EXPANSION; STATISTICAL MECHANICS; STATISTICS; STOCHASTIC PROCESSES; SYMMETRY
- Descriptors DEC
- ATTRACTORS; EVOLUTION; MATHEMATICS; MECHANICS; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES; VARIATIONS
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- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020