Skip to main navigation Skip to search Skip to main content

PERSISTENT DIRAC OF PATHS ON DIGRAPHS AND HYPERGRAPHS

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

This work introduces the development of path Dirac and hypergraph Dirac operators, along with an exploration of their persistence. These operators excel in distinguishing between harmonic and non-harmonic spectra, offering valuable insights into the subcomplexes within these structures. The paper showcases the functionality of these operators through a series of examples in various contexts. An essential facet of this research involves examining the operators' sensitivity to filtration, emphasizing their capacity to adapt to topological changes. The paper also explores a significant application of persistent path Dirac and persistent hypergraph Dirac in molecular science, specifically in analyzing molecular structures. The study introduces strict preorders derived from molecular structures, which generate graphs and digraphs with intricate path structures. The depth of information within these path complexes reflects the complexity of different preorder classes influenced by molecular structures. This characteristic underscores the effectiveness of these tools in the realm of topological data analysis.

Original languageEnglish
Pages (from-to)124-153
Number of pages30
JournalFoundations of Data Science
Volume6
Issue number2
DOIs
StatePublished - Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 American Institute of Mathematical Sciences. All rights reserved.

Keywords

  • Persistent hypergraph Dirac
  • persistent digraph Dirac
  • simultaneous geometric
  • spectral data analysis
  • topological analyses
  • topological data analysis

ASJC Scopus subject areas

  • Analysis
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'PERSISTENT DIRAC OF PATHS ON DIGRAPHS AND HYPERGRAPHS'. Together they form a unique fingerprint.

Cite this