arXiv · 1511.09025
Exchangeable optimal transportation and log-concavity
Abstract
We study the Monge and Kantorovich transportation problems on $\mathbb{R}^{\infty}$ within the class of exchangeable measures. With the help of the de Finetti decomposition theorem the problem is reduced to an unconstrained optimal transportation problem on the Hilbert space. We find sufficient conditions for convergence of finite-dimensional approximations to the Monge solution. The result holds, in particular, under certain analytical assumptions involving log-concavity of the target measure. As a by-product we obtain the following result: any uniformly log-concave exchangeable sequence of random variables is i.i.d.
Explore related subjects
Keep this discovery
Alexander V. Kolesnikov, Danila A. Zaev. 2015-11-29. Exchangeable optimal transportation and log-concavity. https://arxiv.org/abs/1511.09025
Cite the original work for its findings. Save a collection to share your selection of sources.