The Optimal Map as a Square-Integrable Vector Field: Integrability, Transport Cost and Uniqueness of the Class
lemmaAnalysisProbabilitylem:optimal-map-class-wasserstein-2026aA Borel map transporting one measure to another is square-integrable against the source; for an optimal map the squared norm of its displacement is the squared Wasserstein distance; and for a uniquely mapped pair all optimal maps define the same square-integrable class.
In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, let , with the second moment and the Wasserstein distance , and let be the space of square-integrable vector fields against , with norm . Let be the identity map, whose class belongs to by Basic Properties of the Tangent Space: Closed Subspace, the Identity Map Belongs to It, Second-Moment Limits, and Representation of Bounded Functionals on Gradients §identity and is again written . Push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward, is the set of couplings of and , and for the translation of is that fixed there, a Borel map. Then the following hold.
1. (Push-forward by a Borel map, and square-integrability)¶ Let be Borel and write for the map , which 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. Then
in . Consequently, if , then , the class of belongs to and is again written , and ; and if , then , so the same conclusions hold. In particular, for every the translate belongs to , with
2. (The transport cost of an optimal map)¶ Let be an optimal map from to . Then
3. (Uniqueness of the class)¶ Suppose that the ordered pair is uniquely mapped, and let and be optimal maps from to . Then the classes of and of in are equal; consequently so are the classes of and of .
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