Mathematical Theory of Entropy
Mathematical Theory of Entropy
Originally published in 1981, this excellent treatment of the mathematical theory of entropy gives an accessible exposition of the ways in which this idea has been applied to information theory, ergodic theory, topological dynamics and statistical mechanics. Scientists who want a quick understanding of how entropy is applied in disciplines not their own, or simply desire a better understanding of the mathematical foundation of the entropy function will find this to be a valuable book.
Reviews & endorsements
Review of the hardback: ' … concentrates on giving a self-contained treatment of probability theory, measure theory, and ergodic theory along with a detailed treatment of the major properties of entropy. … In conclusion, this book is an excellent encyclopedic work on the mathematical theory of entropy'. Current Science
Product details
No date availableAdobe eBook Reader
9781107298835
0 pages
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Table of Contents
- Editor's statement
- Section editor's statement
- Preface
- Special symbols
- 1. Topics from probability theory
- 2. Entropy and information
- 3. Information theory
- 4. Ergodic theory
- 5. Topological dynamics
- 6. Statistical mechanics
- Bibliography
- Index.
