The Universal $\ell^p$-Metric on Merge Trees
Computational Geometry
2022-03-23 v2 Machine Learning
Algebraic Topology
Abstract
Adapting a definition given by Bjerkevik and Lesnick for multiparameter persistence modules, we introduce an -type extension of the interleaving distance on merge trees. We show that our distance is a metric, and that it upper-bounds the -Wasserstein distance between the associated barcodes. For each , we prove that this distance is stable with respect to cellular sublevel filtrations and that it is the universal (i.e., largest) distance satisfying this stability property. In the case, this gives a novel proof of universality for the interleaving distance on merge trees.
Keywords
Cite
@article{arxiv.2112.12165,
title = {The Universal $\ell^p$-Metric on Merge Trees},
author = {Robert Cardona and Justin Curry and Tung Lam and Michael Lesnick},
journal= {arXiv preprint arXiv:2112.12165},
year = {2022}
}
Comments
20 pages