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I am not sure this is the right section to ask this question, but here it goes. So, I was studying Stat. Physics and I came across this paper, A Mathematical Theory of Communication. What it's so important about this paper?
The discussion centers on the significance of Claude Shannon's paper, "A Mathematical Theory of Communication," which is foundational to information theory. This paper introduced the concept of entropy as a measure of disorder, applicable in both mathematics and physics. Shannon's definition of entropy is crucial for characterizing uncertainties in multi-bit and particle systems, making complex systems manageable. The paper is recognized as a pivotal work that laid the groundwork for further developments in statistical mechanics and information theory.
PREREQUISITESResearchers, physicists, and mathematicians interested in the intersection of information theory and statistical mechanics will benefit from this discussion.
I would say it is the beginning of entropy in mathematics and physics as a measure for the disorder. Both subjects use Shannon's definition of entropy to characterize uncertainties in multiple bit / particle systems. It makes such systems manageable.Arman777 said:I am not sure this is the right section to ask this question, but here it goes. So, I was studying Stat. Physics and I came across this paper, A Mathematical Theory of Communication. What it's so important about this paper?
vanhees71 said:A. Katz, Principles of Statistical Mechanics, W. H. Freeman