Computing p-Presentation Distances is Hard
Abstract Recently, p -presentation distances for $$p\in [1,\infty ]$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>∈</mml:mo> <mml:mo>[</mml:mo> <mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mi>∞</mml:mi> <mml:mo>]</mml:mo> </mml:mrow> </mml:math> were introduced for merge trees and multiparameter persistence modules as more sensitive variations of the respective interleaving distances ( $$p=\infty )$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>=</mml:mo> <mml:mi>∞</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> . It is well-known that computing the interleaving distance is NP-hard in both cases. We extend this result by showing that computing the p -presentation distance is NP-hard for all $$p\in [1,\infty )$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>∈</mml:mo> <mml:mo>[</mml:mo> <mml:mn>1</mml:mn> <mml:mo>,</mml:mo> <mml:mi>∞</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> for both merge trees and t -parameter persistence modules for any $$t\ge 2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> . Though the details differ, both proofs follow the same novel strategy, suggesting that our approach can be adapted to proving the NP-hardness of other distances based on sums or p -norms.
Authors
- Håvard Bakke Bjerkevik (ORCID: https://orcid.org/0000-0001-9778-0354)
- Magnus Bakke Botnan (ORCID: https://orcid.org/0000-0002-7605-4422)
Institutions
- University at Albany, State University of New York (US)
- Technical University of Munich (DE)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Discrete & Computational Geometry
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1007/s00454-025-00744-3
- Primary Topic
- Topological and Geometric Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft