Elder-Rule-Staircodes for Augmented Metric Spaces
Abstract
An augmented metric space is a metric space equipped with a function . This type of data arises commonly in practice, e.g, a point cloud in where each point has a density function value associated to it. An augmented metric space naturally gives rise to a 2-parameter filtration . However, the resulting 2-parameter persistent homology could still be of wild representation type, and may not have simple indecomposables. In this paper, motivated by the elder-rule for the zeroth homology of 1-parameter filtration, we propose a barcode-like summary, called the elder-rule-staircode, as a way to encode . Specifically, if , the elder-rule-staircode consists of number of staircase-like blocks in the plane. We show that if is interval decomposable, then the barcode of is equal to the elder-rule-staircode. Furthermore, regardless of the interval decomposability, the fibered barcode, the dimension function (a.k.a. the Hilbert function), and the graded Betti numbers of can all be efficiently computed once the elder-rule-staircode is given. Finally, we develop and implement an efficient algorithm to compute the elder-rule-staircode in time, which can be improved to if is from a fixed dimensional Euclidean space , where is the inverse Ackermann function.
Keywords
Cite
@article{arxiv.2003.04523,
title = {Elder-Rule-Staircodes for Augmented Metric Spaces},
author = {Chen Cai and Woojin Kim and Facundo Memoli and Yusu Wang},
journal= {arXiv preprint arXiv:2003.04523},
year = {2021}
}
Comments
A few important questions considered in the previous version have been settled; see Example 4.12 and Section 4.3 in particular. The paper has been reorganized. This is the full version of the paper in the Proceedings of the 36th International Symposium on Computational Geometry (SoCG 2020); 41 pages, 17 figures