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  Thermodynamic efficiency of information and heat flow

Allahverdyan, A., Janzing, D., & Mahler, G. (2009). Thermodynamic efficiency of information and heat flow. Journal of Statistical Mechanics: Theory and Experiment, 2009(9): P09011, pp. 1-35. doi:10.1088/1742-5468/2009/09/P09011.

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Allahverdyan, AE, Author
Janzing, D1, 2, Author           
Mahler, G, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: A basic task of information processing is information transfer (flow).
P0
Here we study a pair of Brownian particles each coupled to a thermal bath
at temperatures T1 and T2 . The information flow in such a system is defined
via the time-shifted mutual information. The information flow nullifies at
equilibrium, and its efficiency is defined as the ratio of the flow to the total
entropy production in the system. For a stationary state the information flows
from higher to lower temperatures, and its efficiency is bounded from above by
(max[T1 , T2 ])/(|T1 amp;amp;amp;amp;amp;8722; T2 |). This upper bound is imposed by the second law and
it quantifies the thermodynamic cost for information flow in the present class
of systems. It can be reached in the adiabatic situation, where the particles
have widely different characteristic times. The efficiency of heat flow—defined
as the heat flow over the total amount of dissipated heat—is limited from above
by the same factor. There is a complementarity between heat and information
flow: the set-up which is most efficient for the former is the least efficient for the
latter and vice versa. The above bound for the efficiency can be (transiently)
overcome in certain non-stationary situations, but the efficiency is still limited
from above. We study yet another measure of information processing (transfer
entropy) proposed in the literature. Though this measure does not require any
thermodynamic cost, the information flow and transfer entropy are shown to be
intimately related for stationary states.

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 Dates: 2009-09
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1088/1742-5468/2009/09/P09011
BibTex Citekey: 6216
 Degree: -

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Title: Journal of Statistical Mechanics: Theory and Experiment
Source Genre: Journal
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Publ. Info: Bristol, England : Institute of Physics Publishing
Pages: - Volume / Issue: 2009 (9) Sequence Number: P09011 Start / End Page: 1 - 35 Identifier: ISSN: 1742-5468
CoNE: https://pure.mpg.de/cone/journals/resource/111076098244006