Wasserstein distance and metric trees

We study the Wasserstein (or earthmover) metric on the space P(X) of probability measures on a metric space X . We show that, if a finite metric space X embeds stochastically with distortion D in a family of finite metric trees, then P(X) embeds bi-Lipschitz into \ell^1 with distortion D . Next, we re-visit the closed formula for the Wasserstein metric on finite metric trees due to Evans–Matsen (2012).We advocate that the right framework for this formula is real trees, and we give two proofs of extensions of this formula: one making the link with Lipschitz-free spaces from Banach space theory, the other one algorithmic (after reduction to finite metric trees).