We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal transport metric. Given two probability measures supported in a subset Y⊆X, it is natural to ask whether they can be connected by a constant speed geodesic with support in Y at all times. Our main result answers this question affirmatively, under a suitable geometric condition on Y introduced in this paper. The proof relies on an extension result for subsolutions to discrete Hamilton-Jacobi equations, which is of independent interest
AbstractWe consider the Monge transportation problem when the cost is the squared geodesic distance ...
We prove that in metric measure spaces where the entropy functional is Kconvex along every Wasserst...
For a natural class of discretisations of a convex domain in $R^n$, we consider the dynamical optim...
We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal ...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
We consider dynamical transport metrics for probability measures on discretisations of a bounded con...
International audienceWe propose a technique for interpolating between probability distributions on ...
We propose a technique for interpolating between probability distributions on discrete surfaces, bas...
In this article, we study the geodesic problem in a generalized metric space, in which the ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
peer reviewedWe generalize an equation introduced by Benamou and Brenier and characterizing Wasserst...
The geometric approach to optimal transport and information theory has triggered the interpretation ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We study the fine regularity properties of optimal potentials for the dual formulation of the Hellin...
In this paper, we study the characterization of geodesics for a class of distances between probabili...
AbstractWe consider the Monge transportation problem when the cost is the squared geodesic distance ...
We prove that in metric measure spaces where the entropy functional is Kconvex along every Wasserst...
For a natural class of discretisations of a convex domain in $R^n$, we consider the dynamical optim...
We consider the space of probability measures on a discrete set X, endowed with a dynamical optimal ...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
We consider dynamical transport metrics for probability measures on discretisations of a bounded con...
International audienceWe propose a technique for interpolating between probability distributions on ...
We propose a technique for interpolating between probability distributions on discrete surfaces, bas...
In this article, we study the geodesic problem in a generalized metric space, in which the ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
peer reviewedWe generalize an equation introduced by Benamou and Brenier and characterizing Wasserst...
The geometric approach to optimal transport and information theory has triggered the interpretation ...
We develop the theory of a metric, which we call the $\nu$-based Wasserstein metric and denote by $W...
We study the fine regularity properties of optimal potentials for the dual formulation of the Hellin...
In this paper, we study the characterization of geodesics for a class of distances between probabili...
AbstractWe consider the Monge transportation problem when the cost is the squared geodesic distance ...
We prove that in metric measure spaces where the entropy functional is Kconvex along every Wasserst...
For a natural class of discretisations of a convex domain in $R^n$, we consider the dynamical optim...