The infimal convolution structure of the Hellinger-Kantorovich distance

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: De Ponti, Nicolò, Sodini, Giacomo Enrico, Tamanini, Luca
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866913740514918400
author De Ponti, Nicolò
Sodini, Giacomo Enrico
Tamanini, Luca
author_facet De Ponti, Nicolò
Sodini, Giacomo Enrico
Tamanini, Luca
contents We show that the Hellinger-Kantorovich distance can be expressed as the metric infimal convolution of the Hellinger and the Wasserstein distances, as conjectured by Liero, Mielke, and Savaré. To prove it, we study with the tools of Unbalanced Optimal Transport the so called Marginal Entropy-Transport problem that arises as a single minimization step in the definition of infimal convolution. Careful estimates and results when the number of minimization steps diverges are also provided, both in the specific case of the Hellinger-Kantorovich setting and in the general one of abstract distances.
format Preprint
id arxiv_https___arxiv_org_abs_2503_12939
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The infimal convolution structure of the Hellinger-Kantorovich distance
De Ponti, Nicolò
Sodini, Giacomo Enrico
Tamanini, Luca
Metric Geometry
Functional Analysis
Optimization and Control
Probability
49Q22, 28A33
We show that the Hellinger-Kantorovich distance can be expressed as the metric infimal convolution of the Hellinger and the Wasserstein distances, as conjectured by Liero, Mielke, and Savaré. To prove it, we study with the tools of Unbalanced Optimal Transport the so called Marginal Entropy-Transport problem that arises as a single minimization step in the definition of infimal convolution. Careful estimates and results when the number of minimization steps diverges are also provided, both in the specific case of the Hellinger-Kantorovich setting and in the general one of abstract distances.
title The infimal convolution structure of the Hellinger-Kantorovich distance
topic Metric Geometry
Functional Analysis
Optimization and Control
Probability
49Q22, 28A33
url https://arxiv.org/abs/2503.12939