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} }
Feedback for Dagstuhl Publishing