大葉大學圖書館 |

Information thermodynamics on causal networks and its application to biochemical signal transduction[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	536.7
書名/作者:	Information thermodynamics on causal networks and its application to biochemical signal transduction/ by Sosuke Ito.
作者:	Ito, Sosuke.
出版者:	Singapore : : Springer Singapore :, 2016.
面頁冊數:	xiii, 133 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Maxwell's demon.
標題:	Information theory in physics.
標題:	Thermodynamics.
標題:	Statistical Physics, Dynamical Systems and Complexity.
標題:	Quantum Information Technology, Spintronics.
標題:	Biophysics and Biological Physics.
標題:	Physics.
標題:	Numerical and Computational Physics.
ISBN:	9789811016646
ISBN:	9789811016622
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-981-10-1664-6

Information thermodynamics on causal networks and its application to biochemical signal transduction[electronic resource] /
Ito, Sosuke.

Information thermodynamics on causal networks and its application to biochemical signal transduction[electronic resource] /by Sosuke Ito. - Singapore :Springer Singapore :2016. - xiii, 133 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

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.

ISBN: 9789811016646

Standard No.: 10.1007/978-981-10-1664-6doiSubjects--Topical Terms:

615036
Maxwell's demon.

LC Class. No.: QC318.M35

Dewey Class. No.: 536.7

Information thermodynamics on causal networks and its application to biochemical signal transduction[electronic resource] /
LDR:02557nmm a2200325 a 4500 001 462441
003 DE-He213
005 20160716110716.0
006 m d
007 cr nn 008maaau
008 170223s2016 si s 0 eng d
020 $a 9789811016646 $q (electronic bk.)
020 $a 9789811016622 $q (paper)
024 7 $a 10.1007/978-981-10-1664-6 $2 doi
035 $a 978-981-10-1664-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QC318.M35
072 7 $a PHH $2 bicssc
072 7 $a SCI065000 $2 bisacsh
082 0 4 $a 536.7 $2 23
090 $a QC318.M35 $b I89 2016
100 1 $a Ito, Sosuke. $3 666966
245 1 0 $a Information thermodynamics on causal networks and its application to biochemical signal transduction $h [electronic resource] / $c by Sosuke Ito.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a xiii, 133 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a 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.
520 $a 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.
650 0 $a Maxwell's demon. $3 615036
650 0 $a Information theory in physics. $3 666967
650 2 4 $a Thermodynamics. $3 172172
650 2 4 $a Statistical Physics, Dynamical Systems and Complexity. $3 463838
650 2 4 $a Quantum Information Technology, Spintronics. $3 466288
650 2 4 $a Biophysics and Biological Physics. $3 464224
650 1 4 $a Physics. $3 171863
650 2 4 $a Numerical and Computational Physics. $3 464126
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 463746
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-1664-6
950 $a Physics and Astronomy (Springer-11651)