English

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 p\ell^p-type extension of the interleaving distance on merge trees. We show that our distance is a metric, and that it upper-bounds the pp-Wasserstein distance between the associated barcodes. For each p[1,]p\in[1,\infty], 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 p=p=\infty 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