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Past exam of the mathematics course of the University of Cambridge / 2026 / iii / Paper 224 / 1 / d / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2026 iii Paper 224 1 d
Created 2026-09-24 Updated 2026-09-25  0 By others on same topic  0 Discussions Create my own version
Let X1​,X2​,Y be independent, with X1​,X2​ distributed as X. Apply part (b) to X1​,−Y,X2​:
H(X1​+X2​−Y)+H(Y)≤2H(X−Y).
(1)
Adding an independent random variable cannot decrease information entropy, so
H(X1​+X2​)+H(Y)≤2H(X−Y).
(2)
In terms of Entropic Ruzsa distance, this is dR​(X,−X)≤2dR​(X,Y). The Entropic Ruzsa triangle inequality and invariance under simultaneous negation now give
dR​(X,−Y)≤dR​(X,−X)+dR​(−X,−Y)≤2dR​(X,Y)+dR​(X,Y),
(3)
which is the Entropic Ruzsa sum-difference inequality.

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