Information thermodynamics on causal...
Ito, Sosuke.

 

  • Information thermodynamics on causal networks and its application to biochemical signal transduction[electronic resource] /
  • レコード種別: コンピュータ・メディア : 単行資料
    [NT 15000414] null: 536.7
    タイトル / 著者: Information thermodynamics on causal networks and its application to biochemical signal transduction/ by Sosuke Ito.
    著者: Ito, Sosuke.
    出版された: Singapore : : Springer Singapore :, 2016.
    記述: xiii, 133 p. : : ill. (some col.), digital ;; 24 cm.
    含まれています: Springer eBooks
    主題: Maxwell's demon.
    主題: Information theory in physics.
    主題: Thermodynamics.
    主題: Statistical Physics, Dynamical Systems and Complexity.
    主題: Quantum Information Technology, Spintronics.
    主題: Biophysics and Biological Physics.
    主題: Physics.
    主題: Numerical and Computational Physics.
    国際標準図書番号 (ISBN) : 9789811016646
    国際標準図書番号 (ISBN) : 9789811016622
    [NT 15000228] null: Introduction to Information Thermodynamics on Causal Networks -- Review of Classical Information Theory -- Stochastic Thermodynamics for Small System -- Information Thermodynamics under Feedback Control -- Bayesian Networks and Causal Networks -- Information Thermodynamics on Causal Networks -- Application to Biochemical Signal Transduction -- Information Thermodynamics as Stochastic Thermodynamics for Small Subsystem -- Further Applications of Information Thermodynamics on Causal Networks -- Conclusions.
    [NT 15000229] null: In this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell's demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems.
    電子資源: http://dx.doi.org/10.1007/978-981-10-1664-6
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http://dx.doi.org/10.1007/978-981-10-1664-6
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