English

Generalized Wasserstein Barycenters

Probability 2025-07-08 v2 Functional Analysis Optimization and Control

Abstract

We study the existence and uniqueness of the barycenter of a signed distribution of probability measures on a Hilbert space. The barycenter is found, as usual, as a minimum of a functional. In the case where the positive part of the signed measure is atomic, we can show also uniqueness. In the one-dimensional case, we characterize the quantile function of the unique minimum as the orthogonal projection of the L2L^2-barycenter of the quantiles on the cone of nonincreasing functions in L2(0,1)L^2(0,1). Further, we provide a stability estimate in dimension one and a counterexample to uniqueness in R2\mathbb{R}^2. Finally, we address the consistency of the barycenters and we prove that barycenters of a sequence of approximating measures converge (up to subsequences) to a barycenter of the limit measure.

Keywords

Cite

@article{arxiv.2411.06838,
  title  = {Generalized Wasserstein Barycenters},
  author = {Francesco Tornabene and Marco Veneroni and Giuseppe Savaré},
  journal= {arXiv preprint arXiv:2411.06838},
  year   = {2025}
}

Comments

30 pages, 3 figures. Submitted

R2 v1 2026-06-28T19:55:20.022Z