03570nam a22006015i 4500 978-3-662-68214-2 DE-He213 20251030110912.0 cr nn 008mamaa 240103s2024 gw | s |||| 0|eng d 9783662682142 978-3-662-68214-2 10.1007/978-3-662-68214-2 doi Q295 GPFC bicssc SCI064000 bisacsh GPFC thema Lindgren, Kristian. author. (orcid)0000-0002-8577-9775 https://orcid.org/0000-0002-8577-9775 aut http://id.loc.gov/vocabulary/relators/aut 69100 Information Theory for Complex Systems [electronic resource] : An Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics / by Kristian Lindgren. 1st ed. 2024. Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2024. XI, 153 p. 70 illus., 16 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Understanding Complex Systems, 1860-0840 Introduction -- 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. This 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. System theory. 66519 Dynamical systems. Statistical Mechanics. 69101 Thermodynamics. 66400 Data structures (Computer science). 66708 Information theory. 57783 Complex Systems. 66520 Dynamical Systems. Statistical Mechanics. 69101 Thermodynamics. 66400 Data Structures and Information Theory. 66709 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783662682128 Printed edition: 9783662682135 Printed edition: 9783662683729 Understanding Complex Systems, 1860-0840 67707 https://doi.org/10.1007/978-3-662-68214-2 ZDB-2-PHA ZDB-2-SXP 57057 57057