Deep Research · Mathematics

Information theory is the mathematical framework for quantifying information. Founded by Claude Shannon in 1948, it provides the theoretical limits for data compression and reliable communication. The central quantity is entropy: H(X) = -sum(p(x) * log2(p(x))).

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