On the geometry of geodesics in discrete optimal transport
Matthias Erbar, Jan Maas, Melchior Wirth

TL;DR
This paper investigates the structure of geodesics in the space of probability measures on a discrete set under optimal transport, proving conditions for geodesics to remain supported within a subset, with implications for discrete Hamilton-Jacobi equations.
Contribution
It introduces a geometric condition ensuring the existence of support-preserving geodesics in discrete optimal transport spaces, and provides an extension result for subsolutions to discrete Hamilton-Jacobi equations.
Findings
Proves the existence of support-preserving geodesics under a geometric condition.
Establishes an extension result for discrete Hamilton-Jacobi subsolutions.
Provides insights into the geometry of discrete optimal transport spaces.
Abstract
We consider the space of probability measures on a discrete set , endowed with a dynamical optimal transport metric. Given two probability measures supported in a subset , it is natural to ask whether they can be connected by a constant speed geodesic with support in at all times. Our main result answers this question affirmatively, under a suitable geometric condition on introduced in this paper. The proof relies on an extension result for subsolutions to discrete Hamilton-Jacobi equations, which is of independent interest.
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