English

On the transportation cost norm on finite metric graphs

Metric Geometry 2026-01-26 v1 Functional Analysis

Abstract

For a finite metric graph X=(V,E,)X=(V,E,\ell), where VV is endowed with the shortest path metric, we consider the transportation cost problem associated with the distance dd on VV. Namely, for ff a function with total sum 0 on VV, write f=a,bVP(a,b)(δaδb)f=\sum_{a,b\in V}P(a,b)(\delta_a-\delta_b) where the transportation plan PP satisfies P(a,b)0P(a,b)\geq 0 for (a,b)V×V(a,b)\in V\times V. The cost of PP is W(P):=a,bVP(a,b)d(a,b)W(P):=\sum_{a,b\in V}P(a,b)d(a,b) and the transportation norm of ff is fTC=minPW(P)\|f\|_{TC}=\min_P W(P) where PP runs over all transportation plans for ff. In this semi-survey paper, we give short proofs for the following statements: 1)There always exists an optimal transportation plan supported in V+×VV_+\times V_- where V+={xV:f(x)>0}V_+=\{x\in V: f(x)>0\} and V={xV:f(x)<0}V_-=\{x\in V: f(x)<0\}. If XX is a metric tree, we may moreover assume that this plan involves at most Supp(f)1|Supp(f)|-1 transports. 2) There always exists an optimal transportation plan supported in the set of edges of XX. 3) Better, there always exists an optimal transportation plan supported in some spanning tree of XX. We use this to reprove known formulae for the transportation norm when XX is either a tree or a cycle.

Keywords

Cite

@article{arxiv.2601.16859,
  title  = {On the transportation cost norm on finite metric graphs},
  author = {Georges Skandalis and Alain Valette},
  journal= {arXiv preprint arXiv:2601.16859},
  year   = {2026}
}