000756482 000__ 03213cam\a2200457Ii\4500 000756482 001__ 756482 000756482 005__ 20230306142017.0 000756482 006__ m\\\\\o\\d\\\\\\\\ 000756482 007__ cr\cn\nnnunnun 000756482 008__ 160720s2016\\\\si\a\\\\ob\\\\000\0\eng\d 000756482 020__ $$a9789811016646$$q(electronic book) 000756482 020__ $$a981101664X$$q(electronic book) 000756482 020__ $$z9789811016622 000756482 0247_ $$a10.1007/978-981-10-1664-6$$2doi 000756482 035__ $$aSP(OCoLC)ocn953794511 000756482 035__ $$aSP(OCoLC)953794511 000756482 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dN$T$$dYDXCP$$dEBLCP$$dOCLCF$$dAZU 000756482 049__ $$aISEA 000756482 050_4 $$aQC318.M35 000756482 08204 $$a536/.7$$223 000756482 1001_ $$aIto, Sosuke,$$eauthor. 000756482 24510 $$aInformation thermodynamics on causal networks and its application to biochemical signal transduction$$h[electronic resource] /$$cSosuke Ito. 000756482 264_1 $$aSingapore :$$bSpringer,$$c2016. 000756482 300__ $$a1 online resource (xiii, 133 pages) :$$billustrations. 000756482 336__ $$atext$$btxt$$2rdacontent 000756482 337__ $$acomputer$$bc$$2rdamedia 000756482 338__ $$aonline resource$$bcr$$2rdacarrier 000756482 4901_ $$aSpringer theses,$$x2190-5053 000756482 500__ $$a"Doctoral thesis accepted by the University of Tokyo, Tokyo, Japan. 000756482 504__ $$aIncludes bibliographical references. 000756482 5050_ $$aIntroduction to Information Thermodynamics on Causal Networks -- Review of Classical Information Theory -- Stochastic Thermodynamics for Small System -- Information Thermodynamics under Feedback Control -- Bayesian Networks and Causal Networks -- Information Thermodynamics on Causal Networks -- Application to Biochemical Signal Transduction -- Information Thermodynamics as Stochastic Thermodynamics for Small Subsystem -- Further Applications of Information Thermodynamics on Causal Networks -- Conclusions. 000756482 506__ $$aAccess limited to authorized users. 000756482 520__ $$aIn this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell's demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems. 000756482 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 20, 2016). 000756482 650_0 $$aMaxwell's demon. 000756482 650_0 $$aInformation theory in physics. 000756482 830_0 $$aSpringer theses. 000756482 852__ $$bebk 000756482 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-1664-6$$zOnline Access$$91397441.1 000756482 909CO $$ooai:library.usi.edu:756482$$pGLOBAL_SET 000756482 980__ $$aEBOOK 000756482 980__ $$aBIB 000756482 982__ $$aEbook 000756482 983__ $$aOnline 000756482 994__ $$a92$$bISE