Meta-Diagrams for 2-Parameter Persistence.

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Title: Meta-Diagrams for 2-Parameter Persistence.
Authors: Clause, Nate1 (AUTHOR) nate.clause@gmail.com, Dey, Tamal K.2 (AUTHOR) tamaldey@purdue.edu, Mémoli, Facundo1 (AUTHOR) facundo.memoli@gmail.com, Wang, Bei3 (AUTHOR) beiwang@sci.utah.edu
Source: Discrete & Computational Geometry. Dec2025, Vol. 74 Issue 4, p872-898. 27p.
Subjects: Algorithms, Möbius function, Mathematical invariants
Abstract: We first introduce the notion of meta-rank for a 2-parameter persistence module, an invariant that captures the information behind images of morphisms between 1D slices of the module. We then define the meta-diagram of a 2-parameter persistence module to be the Möbius inversion of the meta-rank, resulting in a function that takes values from signed 1-parameter persistence modules. We show that the meta-rank and meta-diagram contain information equivalent to the rank invariant and the signed barcode. The equivalence leads to an algorithm for computing the meta-rank and meta-diagram of a 2-parameter module M indexed by a bifiltration of n simplices in O (n 4) time. In addition, we define notions of erosion distance between meta-ranks and between meta-diagrams, and show that under these distances, meta-ranks and meta-diagrams are stable with respect to the interleaving distance. Lastly, the meta-diagram can be visualized in an intuitive fashion as a persistence diagram of diagrams, which generalizes the well-understood persistence diagram in the 1-parameter setting. [ABSTRACT FROM AUTHOR]
Copyright of Discrete & Computational Geometry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Meta-Diagrams for 2-Parameter Persistence.
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  Data: <searchLink fieldCode="AR" term="%22Clause%2C+Nate%22">Clause, Nate</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nate.clause@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Dey%2C+Tamal+K%2E%22">Dey, Tamal K.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> tamaldey@purdue.edu</i><br /><searchLink fieldCode="AR" term="%22Mémoli%2C+Facundo%22">Mémoli, Facundo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> facundo.memoli@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Bei%22">Wang, Bei</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> beiwang@sci.utah.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Discrete+%26+Computational+Geometry%22">Discrete & Computational Geometry</searchLink>. Dec2025, Vol. 74 Issue 4, p872-898. 27p.
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  Data: We first introduce the notion of meta-rank for a 2-parameter persistence module, an invariant that captures the information behind images of morphisms between 1D slices of the module. We then define the meta-diagram of a 2-parameter persistence module to be the Möbius inversion of the meta-rank, resulting in a function that takes values from signed 1-parameter persistence modules. We show that the meta-rank and meta-diagram contain information equivalent to the rank invariant and the signed barcode. The equivalence leads to an algorithm for computing the meta-rank and meta-diagram of a 2-parameter module M indexed by a bifiltration of n simplices in O (n 4) time. In addition, we define notions of erosion distance between meta-ranks and between meta-diagrams, and show that under these distances, meta-ranks and meta-diagrams are stable with respect to the interleaving distance. Lastly, the meta-diagram can be visualized in an intuitive fashion as a persistence diagram of diagrams, which generalizes the well-understood persistence diagram in the 1-parameter setting. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Discrete & Computational Geometry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00454-025-00741-6
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        Text: English
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      – SubjectFull: Mathematical invariants
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              Text: Dec2025
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              Y: 2025
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