What are some good resources for learning about information theory?

In summary, the author found that information theory can be used to find series that approximate functions or solutions better than Pade or Taylor series etc. and that it is an interesting subject that is used in different ways by different disciplines.
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AndreasC
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As I've been studying statistical mechanics as well as some other things, I keep hearing about "information theory". For instance, I've heard about information theory as it relates to entropy, regarding some theorems of statistical mechanics, and I even heard about it in a Carl Bender lecture, where he said that you could show using information theory techniques that you could find series that approximate functions or solutions better than Pade or Taylor series etc. I find these things very interesting but I have no idea what to even look for to learn more about the subject, it seems to be one of these categories that different people from different disciplines may use in much different ways. Does anyone have any good sources to gain some understanding?
 
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For me the best book for physicists is

A. Katz, Principles of Statistical Mechanics, W. H. Freeman
and Company, San Francisco and London (1967).
 
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http://www.inference.org.uk/mackay/itprnn/book.html
Information Theory, Inference, and Learning Algorithms
David MacKay

There are two major ideas in information theory, one is the quantification of information, which is closely related to the entropy of statistical physics. In physics, we usually make use of Stirling's approximation. In Mackay's book, you can find the material under the discussion of asymptotic equipartition.

The second major idea is about how well information can be transmitted in the presence of noise. In Mackay's book, it is in the chapter on the noisy channel coding theorem. As far as I understand, this idea is not much used in physics.

Two physics books that discuss basic information theory are

https://www.amazon.com/dp/0521873428/?tag=pfamazon01-20
https://ocw.mit.edu/courses/physics...-fall-2013/lecture-notes/MIT8_333F13_Lec6.pdf (free notes on which the book is based)
Statistical Physics of Particles
Mehran Kardar

https://www.amazon.com/dp/0486497550/?tag=pfamazon01-20
Science and Information Theory
Leon Brillouin

An example of information-like quantities in the research literature is:

https://arxiv.org/abs/1007.4825
Renyi entropy, mutual information, and fluctuation properties of Fermi liquids
Brian Swingle
 
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I love The Information by James Gleick. One of my favorite reads...not technical but fascinating
 
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W. T. Grandy, ‘‘Resource letter ITP-1: Information theory in physics,’’
Am. J. Phys. 65, 466–476 􏰐1997

is a guide to the literature
 
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Elements of information theory by Cover and Thomas is one of the best general texts. Information, physics, and computation by Mezard and Montanari applies ideas from information theory and the physics of disordered systems to computation.

I also second David MacKay’s book.
 
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caz said:
W. T. Grandy, ‘‘Resource letter ITP-1: Information theory in physics,’’
Am. J. Phys. 65, 466–476 􏰐1997

is a guide to the literature
Very interesting, I'll check this out first and then look at the rest.
 
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I also highly recommend E. T. Jaynes's Phys Rev article showing the link between information theory and statistical mechanics
Jaynes's papers at Wash U
 
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1. What is information theory?

Information theory is a branch of mathematics and computer science that deals with the quantification, storage, and communication of information. It provides a framework for understanding how information is processed, transmitted, and received.

2. What are some applications of information theory?

Information theory has a wide range of applications, including data compression, error correction, cryptography, and machine learning. It is also used in fields such as telecommunications, neuroscience, and biology.

3. How is information measured in information theory?

Information is measured in information theory using a unit called a bit. A bit represents one binary digit, or a choice between two equally likely options. It can also be represented as a unit of entropy, which is a measure of uncertainty or randomness.

4. What are some resources for learning about information theory?

There are many resources available for learning about information theory, including textbooks, online courses, and academic papers. Some popular textbooks include "Elements of Information Theory" by Thomas Cover and Joy Thomas, and "Information Theory, Inference, and Learning Algorithms" by David MacKay.

5. How is information theory related to other fields of study?

Information theory has connections to many other fields of study, including mathematics, computer science, statistics, and engineering. It is also closely related to fields such as communication theory, coding theory, and complexity theory.

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