Mean-Square Stability of the Optimal Map of a Uniquely Mapped Pair Along Couplings of Nearly Optimal Cost
theoremAnalysisProbabilitythm:optimal-map-stability-euclidean-2026aIf a pair of measures with finite second moment is uniquely mapped, then along any sequence of couplings whose quadratic costs tend to the squared Wasserstein distance the mean-square discrepancy between the second coordinate and the image of the first under the optimal map tends to zero.
In the setting of Probability Measures on Euclidean Space and Random Vectors: Standing Notation, let satisfy and let belong to the set of probability measures with finite second moment, the second moment of being written . Let be the set of their couplings, let be the quadratic cost, and let be the quadratic Wasserstein distance. Suppose that the ordered pair is uniquely mapped, and let be an optimal map from to .
For the function
is Borel and nonnegative by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, applied to the Borel maps and , and is a real number not exceeding : by the inequality of Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions it is dominated by , whose integral against is by the change-of-variables formula together with , and .
1. (Mean-square stability)¶ Let be a sequence in such that converges to . Then the sequence of real numbers converges to .
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