- Paperback: 368 pages
- Publisher: WS Professional; 1 edition (2 August 2017)
- Language: English
- ISBN-10: 981320883X
- ISBN-13: 978-9813208834
- Product Dimensions: 15.2 x 2.2 x 22.9 cm
- Average Customer Review: Be the first to review this item
- Amazon Bestsellers Rank: #3,10,026 in Books (See Top 100 in Books)
Information Theory - Part I: An Introduction To The Fundamental Concepts Paperback – Import, 2 Aug 2017
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As we have grown accustomed from the author, the material is presented in a very pleasant and affordable way, even for the lay reader, and, at the same time, rigorously, thus avoiding errors and misunderstandings commonly found in some popular science books.
After a masterful introduction to Probability Theory, the author reviews the more fundamental points of Shannon’s measure of information. This is done in a very pedagogical manner, with continuous simple examples which nicely illustrate the basic concepts of Shannon’s theory.
In the final chapter, the author tackle, with the greatest skill, the main goals of this beautiful book, namely, the derivation of the entropy function from Shannon’s measure of information, and the entropy formulation of the Second Law. Connection between Information Theory and Thermodynamics emerges as a solid link, providing both insight and support to the abstract concept of entropy.
A number of mathematical arguments, unnecessary for the beginners but pertinent for the more advanced readers, are included as Appendixes.
Summarizing, a new masterpiece of Prof. Ben-Naim that I strongly recommend without any reservation to the potential readers interested in the fundamentals of Thermodynamics.
This book will let you slide so perfectly into these notions, provided,you know the symbol for Integral, Derivative and Sigma, without effort, pain. You may smile by reading it, and understand better the accompanying drawings, illustrations, and in-between quizzes. What a splendid introduction to probability; each and every student in this field should start with it.
Entropy and information are very closely related, but its all-too-easy to get lost
in other books.
Not so this one, as Ben-Naim again shows his mastery of what entropy is,
and why the quantity should behave as it does.