Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Theses
Release date:	May 2018
First published:	2016
Authors:	Sosuke Ito
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	133
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-981-10-9415-6
Categories:	Books > Computing & IT > General theory of computing > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Promotions
LSN:	981-10-9415-2
Barcode:	9789811094156

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