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Book Cover
E-book
Author Lindgren, Kristian

Title Information theory for complex systems : an information perspective on complexity in dynamical systems and statistical mechanics / Kristian Lindgren
Published Berlin : Springer, 2024

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Description 1 online resource
Series Springer complexity
Understanding complex systems
Springer complexity
Understanding complex systems
Contents 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
Summary 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 forcesrising order and increasing disordercoexist, 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed January 16, 2024)
Subject Information theory.
System theory.
Genre/Form Electronic books
Form Electronic book
ISBN 9783662682142
3662682141