TY  - GEN
AB  - 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.
AU  - Ito, Sosuke,
CN  - QC318.M35
DO  - 10.1007/978-981-10-1664-6
DO  - doi
ID  - 756482
KW  - Maxwell's demon.
KW  - Information theory in physics.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-1664-6
N1  - "Doctoral thesis accepted by the University of Tokyo, Tokyo, Japan.
N2  - 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.
SN  - 9789811016646
SN  - 981101664X
T1  - Information thermodynamics on causal networks and its application to biochemical signal transduction
TI  - Information thermodynamics on causal networks and its application to biochemical signal transduction
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-1664-6
ER  -