Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability
ESAIM: Probability and Statistics, Tome 24 (2020), pp. 703-717.

In this paper, we remark that any optimal coupling for the quadratic Wasserstein distance $$ between two probability measures μ and ν with finite second order moments on ℝ$$ is the composition of a martingale coupling with an optimal transport map $$. We check the existence of an optimal coupling in which this map gives the unique optimal coupling between μ and $$. Next, we give a direct proof that $$ is differentiable at μ in the Lions (Cours au Collège de France. 2008) sense iff there is a unique optimal coupling between μ and ν and this coupling is given by a map. It was known combining results by Ambrosio, Gigli and Savaré (Lectures in Mathematics ETH Zürich. Birkhäuser Verlag, Basel, 2005) and Ambrosio and Gangbo (Comm. Pure Appl. Math., 61:18–53, 2008) that, under the latter condition, geometric differentiability holds. Moreover, the two notions of differentiability are equivalent according to the recent paper of Gangbo and Tudorascu (J. Math. Pures Appl. 125:119–174, 2019). Besides, we give a self-contained probabilistic proof that mere Fréchet differentiability of a law invariant function F on L2(Ω, ℙ; ℝ$$) is enough for the Fréchet differential at X to be a measurable function of X.

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DOI : 10.1051/ps/2020013
Classification : 90C08, 60G42, 60E15, 58B10, 49J50
Mots-clés : Optimal transport, Wasserstein distance, differentiability, couplings of probability measures, convex order
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     title = {Squared quadratic {Wasserstein} distance: optimal couplings and {Lions} differentiability},
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Alfonsi, Aurélien; Jourdain, Benjamin. Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability. ESAIM: Probability and Statistics, Tome 24 (2020), pp. 703-717. doi : 10.1051/ps/2020013. http://www.numdam.org/articles/10.1051/ps/2020013/

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This research benefited from the support of the “Chaire Risques Financiers”, Fondation du Risque.