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Ephemeral Persistence Features and the Stability of Filtered Chain Complexes by Mémoli, Facundo; Zhou, Ling is a scholarly article available to read on EtoBox.

What is Ephemeral Persistence Features and the Stability of Filtered Chain Complexes about?

We strengthen the usual stability theorem for Vietoris-Rips (VR) persistent homology of finite metric spaces by building upon constructions due to Usher and Zhang in the context of filtered chain complexes. The information present at the level of filtered chain complexes includes points with zero persistence which provide additional information to that present at homology level. The resulting invariant, called verbose barcode, which has a stronger discriminating power than the usual barcode, is proved to be stable under certain metrics that are sensitive to these ephemeral points. In some situations, we provide ways to compute such metrics between verbose barcodes. We also exhibit several examples of finite metric spaces with identical (standard) VR barcodes yet with different verbose VR barcodes thus confirming that these ephemeral points strengthen the standard VR barcode.

Author

Mémoli, Facundo; Zhou, Ling

Published

2022

Language

EN