Science and Information Theory (Second Edition)
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Product Details
Author:
Leon Brillouin
Format:
Paperback
Pages:
368
Publisher:
Dover Publications (July 17, 2013)
Language:
English
ISBN-13:
9780486497556
ISBN-10:
0486497550
Weight:
15.2oz
Dimensions:
5.5" x 8.5"
Case Pack:
22
Series:
Dover Books on Physics
File:
Dover-Dover_08042026_P10435224_onix30_Complete-20260803.xml
Folder:
Dover
As low as:
$21.80
List Price:
$22.95
Publisher Identifier:
P-DOVER
Discount Code:
D
Audience:
College/higher education
Pub Discount:
65
Imprint:
Dover Publications
Overview
A classic source for exploring the connections between information theory and physics, this text is geared toward upper-level undergraduates and graduate students. The author, a giant of twentieth-century mathematics, applies the principles of information theory to a variety of issues, including Maxwell's demon, thermodynamics, and measurement problems.
Author Leon Brillouin begins by defining and applying the term "information" and proceeds to explorations of the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, and thermal noise in an electric circuit. A discussion of the negentropy principle of information introduces Brillouin's renowned examination of Maxwell's demon. Concluding chapters explore the associations between information theory, the uncertainty principle, and physical limits of observation, in addition to problems related to computing, organizing information, and inevitable errors.
Author Leon Brillouin begins by defining and applying the term "information" and proceeds to explorations of the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, and thermal noise in an electric circuit. A discussion of the negentropy principle of information introduces Brillouin's renowned examination of Maxwell's demon. Concluding chapters explore the associations between information theory, the uncertainty principle, and physical limits of observation, in addition to problems related to computing, organizing information, and inevitable errors.
