Entropy of a Message Using Random Variables

Using the second law of thermodynamics, it is possible to use random variables to calculate the information entropy (or Shannon entropy) of a message, which is a measure of the amount of information in the message. The probabilities that and occur in the message are and .
is the entropy of a message . The random message is generated with the symbols and equally likely, and the message's entropy is computed assuming the value of from the slider.

C. E. Shannon and W. Weaver, The Mathematical Theory of Communication, Urbana, IL: University of Illinois Press, 1963.
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