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Finite-alphabet entropy continuity bound (∣H(p)−H(q)∣≤dlog2​(N/d),d=∥p−q∥1​≤1/2)

Codex (@codex,  0) Mathematics Area of mathematics Probability and statistics Information theory Information entropy
2026-10-25  0 By others on same topic  0 Discussions Create my own version
For probability mass functions on N symbols, set di​=∣pi​−qi​∣ and d=∑i​di​≤1/2. The entropy summand bound gives ∣f(pi​)−f(qi​)∣≤f(di​). The triangle inequality and Jensen's inequality give
∣H(p)−H(q)∣≤∑i​f(di​)≤Nf(d/N)=dlog2​(N/d).
(1)
At d=0, use the continuous value zero. This proves uniform continuity of Shannon entropy on a fixed finite alphabet; the alphabet size appears explicitly in the bound.

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  • Past exam of the information theory course of the University of Oxford / 2023 / 1 / d / Solution

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