Buch, Englisch, 133 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 3495 g
Reihe: Springer Theses
Buch, Englisch, 133 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 3495 g
Reihe: Springer Theses
ISBN: 978-981-10-1662-2
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Naturwissenschaften Physik Thermodynamik Festkörperphysik, Kondensierte Materie
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Naturwissenschaften Physik Angewandte Physik Biophysik
Weitere Infos & Material
Introduction to Information Thermodynamics on Causal Networks.- Review of Classical Information Theory.- Stochastic 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 Stochastic Thermodynamics for Small Subsystem.- Further Applications of Information Thermodynamics on Causal Networks.- Conclusions.