Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction

by Sosuke Ito

Overview

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 shastic 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 shastic 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.

Product Details

ISBN-13:	9789811094156
Publisher:	Springer Nature Singapore
Publication date:	06/02/2018
Series:	Springer Theses
Edition description:	Softcover reprint of the original 1st ed. 2016
Pages:	133
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Dr. Sosuke Ito

Department of Physics, The University of Tokyo

Table of Contents

Introduction to Information Thermodynamics on Causal Networks.- Review of Classical Information Theory.- Shastic 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 Shastic Thermodynamics for Small Subsystem.- Further Applications of Information Thermodynamics on Causal Networks.- Conclusions.