Stochastic thermodynamics with information reservoirs
arXiv:1408.1224 · doi:10.1103/PhysRevE.90.042150
Abstract
We generalize stochastic thermodynamics to include information reservoirs. Such information reservoirs, which can be modeled as a sequence of bits, modify the second law. For example, work extraction from a system in contact with a single heat bath becomes possible if the system also interacts with an information reservoir. We obtain an inequality, and the corresponding fluctuation theorem, generalizing the standard entropy production of stochastic thermodynamics. From this inequality we can derive an information processing entropy production, which gives the second law in the presence of information reservoirs. We also develop a systematic linear response theory for information processing machines. For a unicyclic machine powered by an information reservoir, the efficiency at maximum power can deviate from the standard value of 1/2. For the case where energy is consumed to erase the tape, the efficiency at maximum erasure rate is found to be 1/2.
13 pages, 8 figures
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- Cost and Precision of Brownian Clocks
- Multipartite information flow for multiple Maxwell demons
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- Work producing reservoirs: Stochastic thermodynamics with generalized Gibbs ensembles
- Stochastic Efficiency: Five Case Studies
- Quantum Foundations of Classical Reversible Computing
- Relations Between Work and Entropy Production for General Information-Driven, Finite-State Engines
- Fluctuation Theorem of Information Exchange within an Ensemble of Paths Conditioned on Correlated-Microstates
- How to measure heat in stochastic systems