Asymmetry: The Foundation of Information Softcover reprint of hardcover 1st ed. 2007 Edition

Asymmetry: The Foundation of Information Softcover reprint of hardcover 1st ed. 2007 Edition book cover

Asymmetry: The Foundation of Information Softcover reprint of hardcover 1st ed. 2007 Edition

Author(s): Scott J. Muller (Author)

  • Publisher: Springer
  • Publication Date: November 30, 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2007
  • Language: English
  • Print length: 173 pages
  • ISBN-10: 3642089321
  • ISBN-13: 9783642089329

Book Description

This book gathers concepts of information across diverse fields: physics, electrical engineering and computational science. It surveys current theories, discusses underlying notions of symmetry, and shows how the capacity of a system to distinguish itself relates to information. The author develops a formal methodology using group theory, leading to the application of Burnside’s Lemma to count distinguishable states. This provides a tool to quantify complexity and information capacity in any physical system.

Written in an informal style, the book is equally accessible to researchers in fields of physics, chemistry, biology, computational science as well as many others.

Editorial Reviews

Review

From the reviews:

“The author is concerned with the meaning of the term ‘information’. He discusses theories of information that arise in thermodynamics and statistical mechanics, communication theory, and in complexity theory. … The book is more a contribution to epistemology … .” (L. L. Campbell, Mathematical Reviews, Issue 2008 k)

From the Back Cover

As individual needs have arisen in the fields of physics, electrical engineering and computational science, each has created its own theories of information to serve as conceptual instruments for advancing developments. This book provides a coherent consolidation of information theories from these different fields. The author gives a survey of current theories and then introduces the underlying notion of symmetry, showing how information is related to the capacity of a system to distinguish itself. A formal methodology using group theory is employed and leads to the application of Burnside’s Lemma to count distinguishable states. This provides a versatile tool for quantifying complexity and information capacity in any physical system. Written in an informal style, the book is accessible to all researchers in the fields of physics, chemistry, biology, computational science as well as many others.

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