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.
Accepté le :
Première publication :
Publié le :
DOI : 10.1051/ps/2020013
Mots-clés : Optimal transport, Wasserstein distance, differentiability, couplings of probability measures, convex order
@article{PS_2020__24_1_703_0, author = {Alfonsi, Aur\'elien and Jourdain, Benjamin}, title = {Squared quadratic {Wasserstein} distance: optimal couplings and {Lions} differentiability}, journal = {ESAIM: Probability and Statistics}, pages = {703--717}, publisher = {EDP-Sciences}, volume = {24}, year = {2020}, doi = {10.1051/ps/2020013}, mrnumber = {4174419}, zbl = {1454.90028}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ps/2020013/} }
TY - JOUR AU - Alfonsi, Aurélien AU - Jourdain, Benjamin TI - Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability JO - ESAIM: Probability and Statistics PY - 2020 SP - 703 EP - 717 VL - 24 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ps/2020013/ DO - 10.1051/ps/2020013 LA - en ID - PS_2020__24_1_703_0 ER -
%0 Journal Article %A Alfonsi, Aurélien %A Jourdain, Benjamin %T Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability %J ESAIM: Probability and Statistics %D 2020 %P 703-717 %V 24 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ps/2020013/ %R 10.1051/ps/2020013 %G en %F PS_2020__24_1_703_0
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/
[1] Sampling of probability measures in the convex order by Wasserstein projection. Ann. Inst. Henri Poincaré Probab. Stat. 56 (2020) 1706–1729. | DOI | MR | Zbl
, and ,[2] A new class of costs for optimal transport planning. Eur. J. Appl. Math. 30 (2019) 1229–1263. | DOI | MR | Zbl
, and ,[3] Hamiltonian ODEs in the Wasserstein space of probability measures. Commun. Pure Appl. Math. 61 (2008) 18–53. | DOI | MR | Zbl
and ,[4] Gradient flows in metric spaces and in the space of probability measures. Lectures in Mathematics ETH Zürich. Birkhäuser Verlag, Basel (2005). | MR | Zbl
, and ,[5] Existence, duality, and cyclical monotonicity for weak transport costs. Calc. Var. Partial Differ. Equ. 58 (2019) Art. 203. | DOI | MR | Zbl
, , ,[6] Numerical methods for stochastic processes. Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics. John Wiley & Sons, Inc., New York (1994). | MR | Zbl
and ,[7] Notes on Mean-Field Games (from P.-L. Lions lectures at Collège de France). Available at: https://www.ceremade.dauphine.fr/~cardaliaguet/MFG20130420.pdf (2013).
,[8] Probabilistic theory of mean field games with applications. I. Mean field FBSDEs, control, and games. Vol. 83 of Probability Theory and Stochastic Modelling. Springer, Cham (2018). | MR | Zbl
and ,[9] Stochastic finance, An introduction in discrete time. Walter de Gruyter & Co., Berlin, third edition (2011). | DOI | MR | Zbl
and ,[10] On differentiability in the Wasserstein space and well-posedness for Hamilton-Jacobi equations. J. Math. Pures Appl. 125 (2019) 119–174. | DOI | MR | Zbl
and ,[11] On the inverse implication of Brenier-McCann theorems and the structure of (P2,(M), W2). Methods Appl. Anal. 18 (2011) 127–158. | DOI | MR | Zbl
,[12] On a mixture of Brenier and Strassen theorems. Proc. Lond. Math. Soc. 120 (2020) 434–463. | DOI | MR | Zbl
and ,[13] Characterization of a class of weak transport-entropy inequalities on the line. Ann. Inst. Henri Poincaré Probab. Stat. 54 (2018) 1667–1693. | DOI | MR | Zbl
, , , and ,[14] Foundations of modern probability. Probability and its Applications (New York). Springer-Verlag, New York (1997). | MR | Zbl
,[15] Cours au Collège de France (2008).
,[16] Optimal transport for applied mathematicians. In Vol. 87 of Progress in Nonlinear Differential Equations and theirApplications. Birkhäuser/Springer (2015). | DOI | MR | Zbl
,[17] The existence of probability measures with given marginals. Ann. Math. Statist. 36 (1965) 423–439. | DOI | MR | Zbl
,[18] 338 of Optimal transport, Old and New. Springer-Verlag (2009). | DOI | MR | Zbl
, Vol.[19] An Elementary Proof for the Structure of Derivatives in Probability Measures. Preprint ArXiv (2017). | arXiv
and ,Cité par Sources :
This research benefited from the support of the “Chaire Risques Financiers”, Fondation du Risque.