A discrete Benamou-Brenier formulation of Optimal Transport on graphs

📅 2026-01-07
🏛️ arXiv.org
📈 Citations: 0
Influential: 0
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This study addresses the discrete optimal transport problem between probability distributions defined on the vertices and edges of a graph, aiming to establish a Wasserstein-1 (W₁) geodesic theory tailored for graph structures. The authors propose a novel discrete transport equation that dynamically couples vertex and edge distributions, thereby formulating—for the first time—a discrete variational counterpart of the Benamou–Brenier formula on graphs. This framework not only provides a rigorous definition of the W₁ distance on graphs but also fully characterizes and classifies the structure of all W₁ geodesics. By doing so, the work lays both theoretical foundations and computational tools for geometric optimal transport on graphs, significantly extending the applicability of Wasserstein geometry to discrete spaces.

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📝 Abstract
We propose a discrete transport equation on graphs which connects distributions on both vertices and edges. We then derive a discrete analogue of the Benamou-Brenier formulation for Wasserstein-$1$ distance on a graph and as a result classify all $W_1$ geodesics on graphs.
Problem

Research questions and friction points this paper is trying to address.

Optimal Transport
Wasserstein distance
graphs
Benamou-Brenier formulation
geodesics
Innovation

Methods, ideas, or system contributions that make the work stand out.

discrete optimal transport
Benamou-Brenier formulation
Wasserstein-1 distance
graph geodesics
transport equation on graphs
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