English

p-Wasserstein distances on networks and 3D to 1D convergence

Analysis of PDEs 2026-01-22 v1 Optimization and Control

Abstract

We study transport distances on metric graphs representing gas networks. Starting from the dynamic formulation of the Wasserstein distance, we review extensions to networks, with and without the possibility of storing mass on the vertices. Next, we examine the asymptotic behavior of the static Wasserstein distance on a three-dimensional network domain that converges to a metric graph. We show convergence of the distance with a proof that is based on the characterization of optimal transport plans as cc-cyclically monotone sets. We conclude by illustrating our finding with several numerical examples.

Keywords

Cite

@article{arxiv.2601.14457,
  title  = {p-Wasserstein distances on networks and 3D to 1D convergence},
  author = {Martin Burger and Ariane Fazeny and Gilles Mordant and Jan-Frederik Pietschmann},
  journal= {arXiv preprint arXiv:2601.14457},
  year   = {2026}
}

Comments

30 pages, 1 figure