,
Michael Lesnick
,
Steve Oudot
Creative Commons Attribution 3.0 Unported license
The matching distance is a pseudometric on multi-parameter persistence modules, defined in terms of the weighted bottleneck distance on the restriction of the modules to affine lines. It is known that this distance is stable in a reasonable sense, and can be efficiently approximated, which makes it a promising tool for practical applications. In this work, we show that in the 2-parameter setting, the matching distance can be computed exactly in polynomial time. Our approach subdivides the space of affine lines into regions, via a line arrangement. In each region, the matching distance restricts to a simple analytic function, whose maximum is easily computed. As a byproduct, our analysis establishes that the matching distance is a rational number, if the bigrades of the input modules are rational.
@InProceedings{kerber_et_al:LIPIcs.SoCG.2019.46,
author = {Kerber, Michael and Lesnick, Michael and Oudot, Steve},
title = {{Exact Computation of the Matching Distance on 2-Parameter Persistence Modules}},
booktitle = {35th International Symposium on Computational Geometry (SoCG 2019)},
pages = {46:1--46:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-104-7},
ISSN = {1868-8969},
year = {2019},
volume = {129},
editor = {Barequet, Gill and Wang, Yusu},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.46},
URN = {urn:nbn:de:0030-drops-104505},
doi = {10.4230/LIPIcs.SoCG.2019.46},
annote = {Keywords: Topological Data Analysis, Multi-Parameter Persistence, Line arrangements}
}