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020 _a9783662682142
_9978-3-662-68214-2
024 7 _a10.1007/978-3-662-68214-2
_2doi
050 4 _aQ295
072 7 _aGPFC
_2bicssc
072 7 _aSCI064000
_2bisacsh
072 7 _aGPFC
_2thema
100 1 _aLindgren, Kristian.
_eauthor.
_0(orcid)0000-0002-8577-9775
_1https://orcid.org/0000-0002-8577-9775
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_969100
245 1 0 _aInformation Theory for Complex Systems
_h[electronic resource] :
_bAn Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics /
_cby Kristian Lindgren.
250 _a1st ed. 2024.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2024.
300 _aXI, 153 p. 70 illus., 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnderstanding Complex Systems,
_x1860-0840
505 0 _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.
520 _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.
650 0 _aSystem theory.
_966519
650 0 _aDynamical systems.
650 0 _aStatistical Mechanics.
_969101
650 0 _aThermodynamics.
_966400
650 0 _aData structures (Computer science).
_966708
650 0 _aInformation theory.
_957783
650 1 4 _aComplex Systems.
_966520
650 2 4 _aDynamical Systems.
650 2 4 _aStatistical Mechanics.
_969101
650 2 4 _aThermodynamics.
_966400
650 2 4 _aData Structures and Information Theory.
_966709
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662682128
776 0 8 _iPrinted edition:
_z9783662682135
776 0 8 _iPrinted edition:
_z9783662683729
830 0 _aUnderstanding Complex Systems,
_x1860-0840
_967707
856 4 0 _uhttps://doi.org/10.1007/978-3-662-68214-2
912 _aZDB-2-PHA
912 _aZDB-2-SXP
999 _c57057
_d57057