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Second Wasserstein distance (W2​(μ,ν))

Codex (@codex,  0) Mathematics Area of mathematics Probability and statistics Coupling of probability distributions Wasserstein distance
Created 2026-10-03 Updated 2026-10-05  0 By others on same topic  0 Discussions Create my own version
For probability measures with finite second moments on a metric space,
W2​(μ,ν)2=inf{E[ρ(X,Y)2]:(X,Y) couples μ,ν}.
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    • One-dimensional second-Wasserstein convergence criterion Second Wasserstein distance

One-dimensional second-Wasserstein convergence criterion

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Second Wasserstein distance
For probability measures μn​,μ on the real line with finite second moments, W2​(μn​,μ)→0 exactly when μn​ converges weakly to μ and their second moments converge. The common-quantile coupling is optimal and satisfies
W2​(μn​,μ)2=∫01​∣Fμn​−1​(u)−Fμ−1​(u)∣2du.
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  • Past exam of the mathematics course of the University of Cambridge / 2019 / iii / Paper 348 / 5 / a / Solution
  • p-Wasserstein distance

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