03188nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050000900153072001700162072002300179072001600202100014800218245018200366250001800548264008200566300006400648336002600712337002600738338003600764347002400800490004600824505026100870520099101131650001902122650002302141650002702164650002002191650004002211650002402251650002102275650002302296650002702319650002002346650004402366710003402410773002602444776003602470776003602506776003602542830004602578856004602624978-3-662-68214-2DE-He21320251030110912.0cr nn 008mamaa240103s2024    gw |    s    |||| 0|eng d  a97836626821427 a10.1007/978-3-662-68214-22doi 4aQ295 7aGPFC2bicssc 7aSCI0640002bisacsh 7aGPFC2thema1 aLindgren, Kristian.eauthor.0(orcid)0000-0002-8577-97751https://orcid.org/0000-0002-8577-97754aut4http://id.loc.gov/vocabulary/relators/aut10aInformation Theory for Complex Systemsh[electronic resource] :bAn Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics /cby Kristian Lindgren.  a1st ed. 2024. 1aBerlin, Heidelberg :bSpringer Berlin Heidelberg :bImprint: Springer,c2024.  aXI, 153 p. 70 illus., 16 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aUnderstanding Complex Systems,x1860-08400 aIntroduction -- Information theory -- Information theory for lattice systems -- Cellular automata -- Physics and information theory -- Geometric information theory -- Pattern formation in chemical systems -- Chaos and information -- Appendix -- References.  aThis book introduces a comprehensive framework tailored for dissecting complex systems across diverse disciplines. What defines a complex system? How can we harness information to quantify its order, structure, and intricacy? Delving into phenomena from the intricate processes in physical systems to the dynamic behaviours in cellular automata and pattern formation, readers will uncover the profound interplay between physics and information theory. This intricate relationship provides fresh insight into physical phenomena, reimagining them through the lens of information. Notably, the book demystifies how seemingly opposing forces—rising order and increasing disorder—coexist, ultimately shedding light on the second law of thermodynamics as an outcome of deterministic, reversible dynamics beneath the surface. Geared towards graduate students, this book presumes an undergraduate foundation in mathematics and physics, ensuring a deep, engaging exploration for its readers. 0aSystem theory. 0aDynamical systems. 0aStatistical Mechanics. 0aThermodynamics. 0aData structures (Computer science). 0aInformation theory.14aComplex Systems.24aDynamical Systems.24aStatistical Mechanics.24aThermodynamics.24aData Structures and Information Theory.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978366268212808iPrinted edition:z978366268213508iPrinted edition:z9783662683729 0aUnderstanding Complex Systems,x1860-084040uhttps://doi.org/10.1007/978-3-662-68214-2