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

Nonfiction, Science & Nature, Science, Physics, Thermodynamics, General Physics
Cover of the book Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction by Sosuke Ito, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sosuke Ito ISBN: 9789811016646
Publisher: Springer Singapore Publication: July 16, 2016
Imprint: Springer Language: English
Author: Sosuke Ito
ISBN: 9789811016646
Publisher: Springer Singapore
Publication: July 16, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Inquiry into the Singapore Science Classroom by Sosuke Ito
Cover of the book The Globalization Conundrum—Dark Clouds behind the Silver Lining by Sosuke Ito
Cover of the book Creativity, Talent and Excellence by Sosuke Ito
Cover of the book Congenital Deformities of the Hand and Upper Limb by Sosuke Ito
Cover of the book Field Responsive Fluids as Smart Materials by Sosuke Ito
Cover of the book Fungal Nanobionics: Principles and Applications by Sosuke Ito
Cover of the book Spectral Analysis of Growing Graphs by Sosuke Ito
Cover of the book Pluralism and Engagement in the Discipline of International Relations by Sosuke Ito
Cover of the book Chinese Students' Higher Achievement in Mathematics by Sosuke Ito
Cover of the book Project Communication Management in Complex Environments by Sosuke Ito
Cover of the book Protein Reviews by Sosuke Ito
Cover of the book Youth Homelessness in Late Modernity by Sosuke Ito
Cover of the book e-Consumers in the Era of New Tourism by Sosuke Ito
Cover of the book Lie Theory and Its Applications in Physics by Sosuke Ito
Cover of the book Animal Models of Neurological Disorders by Sosuke Ito
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy