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, which 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. His study can produce the recent progress of the study of Maxwell’s demon for the special case.
As an application to his result, the information transmission and thermodynamics dissipation in the biochemical signal transduction are discussed. His result can open up a novel biophysical approach to understand information processing in living systems.
