Elder-Rule-Staircodes for Augmented Metric Spaces

03/10/2020
by   Chen Cai, et al.
0

An augmented metric space is a metric space (X, d_X) equipped with a function f_X: X →ℝ. This type of data arises commonly in practice, e.g, a point cloud X in ℝ^d where each point x∈ X has a density function value f_X(x) associated to it. An augmented metric space (X, d_X, f_X) naturally gives rise to a 2-parameter filtration 𝒦. However, the resulting 2-parameter persistent homology H_∙(𝒦) 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 H_0(𝒦). Specifically, if n = |X|, the elder-rule-staircode consists of n number of staircase-like blocks in the plane. We show that if H_0(𝒦) is interval decomposable, then the barcode of H_0(𝒦) 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 H_0(𝒦) 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 O(n^2log n) time, which can be improved to O(n^2α(n)) if X is from a fixed dimensional Euclidean space ℝ^d, where α(n) is the inverse Ackermann function.

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