Computing Zigzag Vineyard Efficiently Including Expansions and Contractions

Fuente: arXiv
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Auteurs principaux: Dey, Tamal K., Hou, Tao
Format: Preprint
Publié: 2023
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author Dey, Tamal K.
Hou, Tao
author_facet Dey, Tamal K.
Hou, Tao
contents Vines and vineyard connecting a stack of persistence diagrams have been introduced in the non-zigzag setting by Cohen-Steiner et al. We consider computing these vines over changing filtrations for zigzag persistence while incorporating two more operations: expansions and contractions in addition to the transpositions considered in the non-zigzag setting. Although expansions and contractions can be implemented in quadratic time in the non-zigzag case by utilizing the linear-time transpositions, it is not obvious how they can be carried out under the zigzag framework with the same complexity. While transpositions alone can be easily conducted in linear time using the recent FastZigzag algorithm, expansions and contractions pose difficulty in breaking the barrier of cubic complexity. Our main result is that, the half-way constructed up-down filtration in the FastZigzag algorithm indeed can be used to achieve linear time complexity for transpositions and quadratic time complexity for expansions and contractions, matching the time complexity of all corresponding operations in the non-zigzag case.
format Preprint
id arxiv_https___arxiv_org_abs_2307_07462
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Computing Zigzag Vineyard Efficiently Including Expansions and Contractions
Dey, Tamal K.
Hou, Tao
Computational Geometry
Algebraic Topology
Vines and vineyard connecting a stack of persistence diagrams have been introduced in the non-zigzag setting by Cohen-Steiner et al. We consider computing these vines over changing filtrations for zigzag persistence while incorporating two more operations: expansions and contractions in addition to the transpositions considered in the non-zigzag setting. Although expansions and contractions can be implemented in quadratic time in the non-zigzag case by utilizing the linear-time transpositions, it is not obvious how they can be carried out under the zigzag framework with the same complexity. While transpositions alone can be easily conducted in linear time using the recent FastZigzag algorithm, expansions and contractions pose difficulty in breaking the barrier of cubic complexity. Our main result is that, the half-way constructed up-down filtration in the FastZigzag algorithm indeed can be used to achieve linear time complexity for transpositions and quadratic time complexity for expansions and contractions, matching the time complexity of all corresponding operations in the non-zigzag case.
title Computing Zigzag Vineyard Efficiently Including Expansions and Contractions
topic Computational Geometry
Algebraic Topology
url https://arxiv.org/abs/2307.07462