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Past exam of the mathematics course of the University of Cambridge / 2017 / iii / Paper 215 / 1 / b / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 215 1 b
Created 2026-10-03 Updated 2026-10-06  0 By others on same topic  0 Discussions Create my own version
A coupling of probability distributions is a joint probability distribution of random variables (X,Y) with the specified marginal distributions: P(X∈A)=μ(A) and P(Y∈A)=ν(A). No independence is required.
For every set A, the difference of the two indicator functions vanishes when X=Y. Consequently
∣μ(A)−ν(A)∣=​E(1A​(X)−1A​(Y))​≤P(X=Y).
(1)
Maximizing over A gives the coupling inequality for total variation:
∥μ−ν∥TV​≤P(X=Y).​
(2)

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