Consider a closed subset of a complete Riemannian manifold, such that all geodesics with end-points in the subset are contained in the subset and the subset has boundary of codimension one. Is it the case that Riemannian barycentres of probability measures supported by the subset must also lie in the subset? It is shown that this is the case for 2-manifolds but not the ease in higher dimensions: a counterexample is constructed which is a conformally-Euclidean 3-manifold, for which geodesics never self-intersect and indeed cannot turn by too much (so small geodesic balls satisfy a geodesic convexity condition), but is such that a probability measure concentrated on a single point has a barycentre at another point
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
A geodesic bicombing on a metric space selects for every pair of points a geodesic connecting them. ...
Riemannian barycentres are centres of mass defined for data which are best represented as points on ...
If μ is a probability measure carried on a small in a finite-dimension vectorial or affine space,...
This paper provides rates of convergence for empirical (generalised) barycenters on compact geodesic...
Si µ est une mesure de probabilité à support compact dans uns espace vectoriel ou affine de dimensio...
We provide a general contractibility criterion for subsets of Riemannian metrics on the disc. For in...
8 pagesA characterization of the barycenters of Radon probability measures supported on a closed con...
We prove that a closed, geodesically convex subset C of $P_2^r(R^d)$ is closed with respect to weak ...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
Let Wn be a C∞ complete, simply connected n-dimensional Riemannian manifold without conjugate points...
AbstractWe refine recent existence and uniqueness results, for the barycenter of points at infinity ...
We give a necessary condition on a geodesic in a Riemannian manifold that can run in some convex hyp...
We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differen...
Abstract We study the boundary measures of compact subsets of the d-dimensional Euclidean space, whi...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
A geodesic bicombing on a metric space selects for every pair of points a geodesic connecting them. ...
Riemannian barycentres are centres of mass defined for data which are best represented as points on ...
If μ is a probability measure carried on a small in a finite-dimension vectorial or affine space,...
This paper provides rates of convergence for empirical (generalised) barycenters on compact geodesic...
Si µ est une mesure de probabilité à support compact dans uns espace vectoriel ou affine de dimensio...
We provide a general contractibility criterion for subsets of Riemannian metrics on the disc. For in...
8 pagesA characterization of the barycenters of Radon probability measures supported on a closed con...
We prove that a closed, geodesically convex subset C of $P_2^r(R^d)$ is closed with respect to weak ...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
Let Wn be a C∞ complete, simply connected n-dimensional Riemannian manifold without conjugate points...
AbstractWe refine recent existence and uniqueness results, for the barycenter of points at infinity ...
We give a necessary condition on a geodesic in a Riemannian manifold that can run in some convex hyp...
We introduce Riemannian First-Passage Percolation (Riemannian FPP) as a new model of random differen...
Abstract We study the boundary measures of compact subsets of the d-dimensional Euclidean space, whi...
An optimal transport path may be viewed as a geodesic in the space of probability measures ...
A geodesic bicombing on a metric space selects for every pair of points a geodesic connecting them. ...
Riemannian barycentres are centres of mass defined for data which are best represented as points on ...