Optimal transport between random measures (1206.3672v1)
Abstract: We study couplings $q\bullet$ of two equivariant random measures $\lambda\bullet$ and $\mu\bullet$ on a Riemannian manifold $(M,d,m)$. Given a cost function we ask for minimizers of the mean transportation cost per volume. In case the minimal/optimal cost is finite and $\lambda\omega\ll m$ we prove that there is a unique equivariant coupling minimizing the mean transportation cost per volume. Moreover, the optimal coupling is induced by a transportation map, $q\bullet=(id,T)_*\lambda\bullet.$ We show that the optimal transportation map can be approximated by solutions to classical optimal transportation problems on bounded regions. In case of $Lp-$cost the optimal transportation cost per volume defines a metric on the space of equivariant random measure with unit intensity.
Sponsored by Paperpile, the PDF & BibTeX manager trusted by top AI labs.
Get 30 days freePaper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.