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Barcode embeddings for metric graphs

  • INRIA
  • Duke University

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1209-1266
Number of pages58
JournalAlgebraic and Geometric Topology
Volume21
Issue number3
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

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