Displacement Convexity of a Penalty Pair on the Wasserstein Space
definitionAnalysisProbabilitydef:displacement-convex-penalty-pair-2026aThe displacement plan of a coupling attaches to each first point the displacement to the second, and is a plan with the first marginal. A penalty pair is displacement convex when, for every optimal coupling of a measure in the score domain with a measure in the penalty domain, the penalty at the second dominates the penalty at the first plus the pairing of the score with the displacement.
In the setting of Plans, Marginals, Vector Fields and Symmetric Matrices on the Wasserstein Space: Standing Notation, let be a penalty pair on , let and , and let be an optimal coupling of and , the couplings with their quadratic cost being those of Plans, Marginals, Vector Fields and Symmetric Matrices on the Wasserstein Space: Standing Notation §dimensions. Plans, the coordinate projections of , the variables and the integral notation are as fixed there.
(The displacement plan)¶ The displacement plan of is the push-forward
formed with the pairing of with the pointwise difference , a Borel map. It is a plan with first marginal . Indeed, by claim 3 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space the value at of the nonnegative Borel function composed with is ; so the change-of-variables formula of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward and the additivity of the integral of nonnegative functions in claim 1 of Linearity and Monotonicity of the Lebesgue Integral give
the first integral by the change-of-variables formula and Couplings of Two Probability Measures on Euclidean Space and Their Quadratic Cost §coupling, the second by Couplings of Two Probability Measures on Euclidean Space and Their Quadratic Cost §cost together with the identity , which holds because both sides are the Euclidean distance between the two points by claim 2 of Elementary Properties of the Euclidean Norm on and that distance is symmetric by Euclidean Distance is a Metric on ; and is finite by Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §cost-finite, so by The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space. Finally by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §projections and Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §pairing, so the first marginal of is . Consequently, being an element of , the integral
is a real number by Plans and Their Velocity Fields: the Marginal, the Composition Isometry, the Pairing, the Velocity Shift and the Lift §pairing.
(Displacement convexity)¶ The penalty pair is displacement convex if
for all , all and every optimal coupling of and , with the displacement plan of .
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