Is magnitude 'generically continuous' for finite metric spaces?
Not on the map. Why?
Abstract (arXiv)
Magnitude is a real-valued invariant of metric spaces which, in the finite setting, can be understood as recording the 'effective number of points' in a space as the scale of the metric varies. Motivated by applications in topological data analysis, this paper investigates the stability of magnitude: its continuity properties with respect to the Gromov-Hausdorff topology. We show that magnitude is nowhere continuous on the Gromov-Hausdorff space of finite metric spaces. Yet, we find evidence to suggest that it may be 'generically continuous', in the sense that generic Gromov-Hausdorff limits are preserved by magnitude. We make the case that, in fact, 'generic stability' is what matters for applicability.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 29 references that are in the map. First posted on arXiv 15 Jan 2025.
Builds on
4 of 29 references.
References · 4
- 2023Metric Space Magnitude for Evaluating the Diversity of Latent Representationscited by 17
- 2023Metric Space Magnitude and Generalisation in Neural Networkscited by 15
- 2024Approximating Metric Magnitude of Point Setscited by 4
- 2023Stability for Inference with Persistent Homology Rank Functionscited by 1
Built on by
Citing papers per year: 2026: 1.
1 paper.