LEADER 04773nam 22007815 450 001 9910254628403321 005 20200701193511.0 010 $a981-10-1664-X 024 7 $a10.1007/978-981-10-1664-6 035 $a(CKB)3710000000754903 035 $a(DE-He213)978-981-10-1664-6 035 $a(MiAaPQ)EBC4595466 035 $a(PPN)194513386 035 $a(EXLCZ)993710000000754903 100 $a20160716d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction$b[electronic resource] /$fby Sosuke Ito 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 133 p. 32 illus., 28 illus. in color.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan"--Title page. 311 $a981-10-1662-3 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. 330 $aIn this book the author presents a general formalism of nonequilibrium thermodynamics with complex information flows induced by interactions among multiple fluctuating systems. The author has generalized stochastic thermodynamics with information by using a graphical theory. Characterizing nonequilibrium dynamics by causal networks, he has obtained a novel generalization of the second law of thermodynamics with information that is applicable to quite a broad class of stochastic dynamics such as information transfer between multiple Brownian particles, an autonomous biochemical reaction, and complex dynamics with a time-delayed feedback control. This study can produce further progress in the study of Maxwell?s demon for special cases. As an application to these results, information transmission and thermodynamic dissipation in biochemical signal transduction are discussed. The findings presented here can open up a novel biophysical approach to understanding information processing in living systems. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aThermodynamics 606 $aStatistical physics 606 $aDynamical systems 606 $aQuantum computers 606 $aSpintronics 606 $aBiophysics 606 $aBiological physics 606 $aPhysics 606 $aThermodynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21050 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aQuantum Information Technology, Spintronics$3https://scigraph.springernature.com/ontologies/product-market-codes/P31070 606 $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aThermodynamics. 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aQuantum computers. 615 0$aSpintronics. 615 0$aBiophysics. 615 0$aBiological physics. 615 0$aPhysics. 615 14$aThermodynamics. 615 24$aComplex Systems. 615 24$aQuantum Information Technology, Spintronics. 615 24$aBiological and Medical Physics, Biophysics. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aStatistical Physics and Dynamical Systems. 676 $a536.7 700 $aIto$b Sosuke$4aut$4http://id.loc.gov/vocabulary/relators/aut$0816191 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254628403321 996 $aInformation Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction$91821451 997 $aUNINA