Filtration Simplification for Persistent Homology via Edge Contraction
Tamal K. Dey, Ryan Slechta

TL;DR
This paper introduces two edge contraction methods for simplifying filtrations in persistent homology, providing bounds on diagram perturbations and enabling efficient multiple contractions, with experiments on manifolds.
Contribution
It proposes novel contraction operators that bound persistence diagram perturbations and can be efficiently composed for complex simplicial complexes.
Findings
Bound the perturbation in persistence diagrams using contraction operators
Operators work for 2-manifolds and arbitrary d-complexes
Efficient composition of multiple contractions demonstrated on manifolds
Abstract
Persistent homology is a popular data analysis technique that is used to capture the changing topology of a filtration associated with some simplicial complex . These topological changes are summarized in persistence diagrams. We propose two contraction operators which when applied to and its associated filtration, bound the perturbation in the persistence diagrams. The first assumes that the underlying space of is a -manifold and ensures that simplices are paired with the same simplices in the contracted complex as they are in the original. The second is for arbitrary -complexes, and bounds the bottleneck distance between the initial and contracted -dimensional persistence diagrams. This is accomplished by defining interleaving maps between persistence modules which arise from chain maps defined over the filtrations. In addition, we show how the second operator can…
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Taxonomy
TopicsTopological and Geometric Data Analysis
