2021 Barcode embeddings for metric graphs
Steve Oudot, Elchanan Solomon
Algebr. Geom. Topol. 21(3): 1209-1266 (2021). DOI: 10.2140/agt.2021.21.1209

Abstract

Stable topological invariants are a cornerstone of persistence theory and applied topology, but their discriminative properties are often poorly understood. We study a rich homology-based invariant first defined by Dey, Shi and Wang in 2015, which we think of as embedding a metric graph in the barcode space. We prove that this invariant is locally injective on the space of finite metric graphs and globally injective on a generic subset.

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Steve Oudot. Elchanan Solomon. "Barcode embeddings for metric graphs." Algebr. Geom. Topol. 21 (3) 1209 - 1266, 2021. https://doi.org/10.2140/agt.2021.21.1209

Information

Received: 19 July 2018; Revised: 4 May 2020; Accepted: 11 June 2020; Published: 2021
First available in Project Euclid: 26 August 2021

MathSciNet: MR4299666
zbMATH: 1478.55003
Digital Object Identifier: 10.2140/agt.2021.21.1209

Subjects:
Primary: 18G60 , 55U10 , 57M15 , 57M50

Keywords: applied topology , Inverse problems , metric graphs , Persistent homology

Rights: Copyright © 2021 Mathematical Sciences Publishers

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Vol.21 • No. 3 • 2021
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