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Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction (Hardcover, 1st ed. 2016)
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Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction (Hardcover, 1st ed. 2016)
Series: Springer Theses
Expected to ship within 12 - 17 working days
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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.
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