Tight quasi-universality of Reeb graph distances

We establish tight bi-Lipschitz bounds certifying quasi-universality (universality up to a constant factor) for various distances between Reeb graphs: the interleaving distance, the functional distortion distance, and the functional contortion distance. The definition of the latter distance is a novel contribution, and for the special case of contour trees we also prove strict universality of this distance. Furthermore, we prove that for the special case of merge trees the functional contortion distance coincides with the interleaving distance, yielding universality of all four distances in this case.

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Publication Details

Journal
Journal of Applied and Computational Topology
Published
2025-02-12
DOI
https://doi.org/10.1007/s41468-025-00203-1
Citations
2
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
3.01

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article

Tight quasi-universality of Reeb graph distances

Benedikt Fluhr, Ulrich Bauer, Håvard Bakke Bjerkevik
2 citations
Journal of Applied and Computational Topology
Topological and Geometric Data Analysis
3.01
article

Tight quasi-universality of Reeb graph distances

Benedikt Fluhr, Ulrich Bauer, Håvard Bakke Bjerkevik
article en
2 citations

Abstract

We establish tight bi-Lipschitz bounds certifying quasi-universality (universality up to a constant factor) for various distances between Reeb graphs: the interleaving distance, the functional distortion distance, and the functional contortion distance. The definition of the latter distance is a novel contribution, and for the special case of contour trees we also prove strict universality of this distance. Furthermore, we prove that for the special case of merge trees the functional contortion distance coincides with the interleaving distance, yielding universality of all four distances in this case.

Journal of Applied and Computational TopologyVol. 9(1)
Bielefeld University (DE), University at Albany, State University of New York (US), Technical University of Munich (DE)
Deutsche Forschungsgemeinschaft, Austrian Science Fund, Technische Universität München
Openalex Percentile: Top 10%
Topological and Geometric Data Analysis
3.01
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