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arxiv: 2201.06650 · v6 · submitted 2022-01-17 · 🧮 math.AT

Galois Connections in Persistent Homology

Pith reviewed 2026-05-24 13:07 UTC · model grok-4.3

classification 🧮 math.AT
keywords persistent homologyGalois connectionsbottleneck stabilityinterleavingsmatchingsmultiparameter persistenceRota's theorem
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The pith

Galois connections unify interleavings and matchings in persistent homology and yield an easier proof of the bottleneck stability theorem via Rota's theorem.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops a language for persistent homology by recasting its central constructions as Galois connections between posets. This recasting unifies interleavings and matchings into a single framework and grants direct access to Rota's Galois connection theorem. Using that theorem, the authors derive the bottleneck stability theorem without the usual technical overhead. A sympathetic reader would care because the same language also relates distinct notions of multiparameter persistence diagrams, suggesting that many stability and comparison results may admit similar simplifications.

Core claim

By expressing the standard notions of interleavings and matchings as Galois connections between appropriate posets of persistence modules and diagrams, the constructions preserve the categorical and metric structures needed for Rota's theorem to apply directly, thereby supplying a substantially shorter proof of the bottleneck stability theorem while also establishing explicit relationships among various multiparameter persistence diagrams.

What carries the argument

Galois connections between posets of persistence modules and diagrams that preserve the interleaving and matching structures.

If this is right

  • The bottleneck stability theorem follows immediately once the relevant Galois connections are identified.
  • Different notions of multiparameter persistence diagrams become comparable through the same poset maps.
  • Any other stability statement that can be phrased in terms of interleavings or matchings becomes eligible for the same reduction.
  • The framework supplies a uniform way to move between module-level and diagram-level descriptions of persistence.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same Galois-connection language may shorten proofs of stability for other distances or for zigzag persistence.
  • Poset-theoretic algorithms for computing Galois connections could be tested directly against existing persistence-diagram software.
  • The approach suggests that order-theoretic invariants might replace some metric arguments in computational topology.

Load-bearing premise

The standard constructions of interleavings and matchings can be realized as Galois connections that preserve the categorical and metric structures required for Rota's theorem.

What would settle it

An explicit pair of persistence modules whose interleaving distance fails to equal the distance induced by the corresponding Galois connection and matching would falsify the modeling step.

Figures

Figures reproduced from arXiv: 2201.06650 by Alexander McCleary, Aziz Burak Gulen.

Figure 1
Figure 1. Figure 1: A filtration indexed by the totally ordered set [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The diagram on the left is an interleaving between two persistence modules [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The Hasse diagram of the poset P from Example 2.2. 2 Preliminaries Here we present some background on partially ordered sets and M¨obius inversion. For a more thorough reference see [17]. 2.1 Partially Ordered Sets Definition 2.1: A partially ordered set, or poset, is a set P with a relation 6 satisfying • Reflexivity: a 6 a for any a ∈ P. • Antisymmetry: if a 6 b and b 6 a then a = b for any a, b ∈ P. • T… view at source ↗
Figure 4
Figure 4. Figure 4: A persistence module over P; see Example 4.7 Remark 4.4: Note that there are no constructible functors defined on R. This is due to the fact that there are no co-closure operators with finite images on R. There are, however, plenty of constructible functors defined on the posets [−∞,∞], [−∞,∞) [0, ∞], and [0, ∞). We now define a category of persistence modules. The objects are functors from posets to the c… view at source ↗
Figure 5
Figure 5. Figure 5: A free presentation of the persistence module [PITH_FULL_IMAGE:figures/full_fig_p017_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: An interleaving Γ between the two persistence modules M0 and M1. We interpret Γ as a persistence module with marginals M0 and M1. See Example 6.3 for more details. 23 [PITH_FULL_IMAGE:figures/full_fig_p023_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: This example shows that nonnegativity is crucial in the definition of a matching. See [PITH_FULL_IMAGE:figures/full_fig_p025_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Above are three persistence diagrams w1, w2, and w3 with matchings ν between w1 and w2, and η between w2 and w3. There is no unique way to glue the matchings ν and η together. Instead, our algorithm proceeds by choosing (1, 3) in the support of w2 and choosing points (say, (0, 3) and (2, 3)) matched to (1, 3) by ν and η respectively. The algorithm then matches (0, 3) with (2, 3) and removes them from the p… view at source ↗
Figure 9
Figure 9. Figure 9: The interpolation of M0 and M1 induced by the interleaving Γ from Example 6.3. The domain St of Mt is given by the intersection of the dashed lines with the vertical line at t. The critical points of the interpolation occur where the dashed lines intersect: at 0, .5, and 1. The maps αt,c flow along the dashed lines. 35 [PITH_FULL_IMAGE:figures/full_fig_p035_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: The inclusion ι of the line ` into [0, ∞) 2 and its left adjoint π. Proposition 8.4: The persistence diagram of the 1-parameter persistence module M|` is given by [π](∂m)]. Proof. We have that M|` =∼ M◦ ι which is a morphism from M to M` and so, by functoriality, [π](∂m)] = [∂(m|`)]. In particular, this proof gives a linear time algorithm for computing the fibered barcode from the birth-death function per… view at source ↗
read the original abstract

We present a new language for persistent homology in terms of Galois connections. This language has two main advantages over traditional approaches. First, it simplifies and unifies central concepts such as interleavings and matchings. Second, it provides access to Rota's Galois connection theorem -- a powerful tool with many potential applications in applied topology. To illustrate this, we use Rota's Galois connection theorem to give a substantially easier proof of the bottleneck stability theorem. Finally, we use this language to establish relationships between various notions of multiparameter persistence diagrams.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The paper introduces a language for persistent homology based on Galois connections between posets. This is claimed to simplify and unify interleavings and matchings, to grant access to Rota's Galois connection theorem, and thereby to yield a substantially easier proof of the bottleneck stability theorem; the same language is also used to relate different notions of multiparameter persistence diagrams.

Significance. If the poset constructions preserve the required categorical and metric structures, the work supplies a unifying order-theoretic perspective that simplifies central definitions and imports a classical theorem for a shorter stability proof. The explicit use of an external result (Rota's theorem) once the Galois connections are verified is a methodological strength that could extend to other questions in applied topology.

minor comments (3)
  1. [Abstract] The abstract asserts a 'substantially easier proof' but does not indicate the section or theorem number where the new argument appears; a forward reference would help readers locate the comparison.
  2. Notation for the various posets and their Galois connections is introduced incrementally; a single summary table or diagram collecting the objects, maps, and induced distances would improve readability.
  3. A few sentences in the multiparameter section use the same symbol for distinct but related diagrams; consistent subscripting or a short glossary would remove ambiguity.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary of the manuscript and for recommending minor revision. No specific major comments were raised in the report.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper recasts standard interleavings and matchings in persistent homology as Galois connections between posets, then invokes the external classical result Rota's Galois connection theorem to obtain the bottleneck stability theorem. This structure does not reduce the target theorem to any quantity defined inside the paper by construction, nor does it rely on self-citation chains, fitted parameters renamed as predictions, or ansatzes smuggled via prior work by the same authors. The central move is an external theorem application whose validity hinges on the (independent) verification that the poset maps are indeed Galois connections preserving the relevant metric data; that verification step is presented as the novel contribution rather than presupposed. No load-bearing step collapses to a self-referential definition or renaming of a known result.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper relies on the existence and standard properties of Galois connections and on Rota's theorem from order theory; no free parameters or invented entities are indicated in the abstract.

axioms (1)
  • standard math Rota's Galois connection theorem holds in the poset setting used for persistence modules.
    Invoked to obtain the easier proof of bottleneck stability.

pith-pipeline@v0.9.0 · 5607 in / 1126 out tokens · 22032 ms · 2026-05-24T13:07:51.874452+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Interleaving Distance as a Galois-Edit Distance

    math.AT 2025-09 unverdicted novelty 7.0

    Interleaving distance on single- and multi-parameter persistence modules equals a Galois-edit distance, yielding a new proof of bottleneck stability.

Reference graph

Works this paper leans on

32 extracted references · 32 canonical work pages · cited by 1 Pith paper · 2 internal anchors

  1. [1]

    Ripser: Efficient computation of Vietoris-Rips persistence barcodes

    Ulrich Bauer. Ripser: Efficient computation of Vietoris-Rips persistence barcodes. Jour- nal of Applied and Computational Topology , (5), 2021

  2. [2]

    Leo Betthauser, Peter Bubenik, and Parker B. Edwards. Graded persistence diagrams and persistence landscapes. Discrete & Computational Geometry , 67, 2022

  3. [3]

    An introduction to multiparameter per- sistence

    Magnus Bakke Botnan and Michael Lesnick. An introduction to multiparameter per- sistence. arXiv preprint arXiv:2203.14289 , 2022

  4. [4]

    Signed barcodes for multi-parameter persistence via rank decompositions

    Magnus Bakke Botnan, Steffen Oppermann, and Steve Oudot. Signed barcodes for multi-parameter persistence via rank decompositions. In 38th International Sympo- sium on Computational Geometry (SoCG 2022) . Schloss Dagstuhl-Leibniz-Zentrum f¨ ur Informatik, 2022

  5. [5]

    Higher interpolation and extension for persistence modules

    Peter Bubenik, Vin de Silva, and Vidit Nanda. Higher interpolation and extension for persistence modules. SIAM Journal on Applied Algebra and Geometry , 1(1):272–284, 2017

  6. [6]

    Metrics for generalized persistence modules

    Peter Bubenik, Vin De Silva, and Jonathan Scott. Metrics for generalized persistence modules. Foundations of Computational Mathematics , 15(6):1501–1531, 2015

  7. [7]

    Interleaving and Gromov-Hausdorff distance

    Peter Bubenik, Vin De Silva, and Jonathan Scott. Interleaving and Gromov-Hausdorff distance. arXiv preprint arXiv:1707.06288 , 2017

  8. [8]

    Topology and data

    Gunnar Carlsson. Topology and data. Bulletin of the American Mathematical Society , 46(2):255–308, 2009

  9. [9]

    The theory of multidimensional persistence

    Gunnar Carlsson and Afra Zomorodian. The theory of multidimensional persistence. Discrete & Computational Geometry , 42(1):71–93, Jul 2009

  10. [10]

    Betti numbers in multidimensional persistent homology are stable functions

    Andrea Cerri, Barbara Di Fabio, Massimo Ferri, Patrizio Frosini, and Claudia Landi. Betti numbers in multidimensional persistent homology are stable functions. Mathe- matical Methods in the Applied Sciences , 36(12):1543–1557, 2013

  11. [11]

    Proximity of persistence modules and their diagrams

    Fr´ ed´ eric Chazal, David Cohen-Steiner, Marc Glisse, Leonidas J Guibas, and Steve Y Oudot. Proximity of persistence modules and their diagrams. In Proceedings of the twenty-fifth annual symposium on Computational geometry , pages 237–246, 2009

  12. [12]

    Stability of persistence diagrams

    David Cohen-Steiner, Herbert Edelsbrunner, and John Harer. Stability of persistence diagrams. Discrete & Computational Geometry , 37(1):103–120, 2007

  13. [13]

    Topological persistence and simplification

    Herbert Edelsbrunner, David Letscher, and Afra Zomorodian. Topological persistence and simplification. Discrete & Computational Geometry , 28(4):511–533, Nov 2002. 40

  14. [14]

    C. J. Everett. Closure operators and galois theory in lattices. Transactions of the American Mathematical Society, 55(3):514–525, 1944

  15. [15]

    Persistent homology transform cosheaf

    Brittany Terese Fasy and Amit Patel. Persistent homology transform cosheaf. arXiv preprint arXiv:2208.05243, 2022

  16. [16]

    Saecular persistence

    Robert Ghrist and Gregory Henselman-Petrusek. Saecular persistence. arXiv preprint arXiv:2112.04927, 2021

  17. [17]

    The M¨ obius Function of a Partially Ordered Set, pages 555–581

    Curtis Greene. The M¨ obius Function of a Partially Ordered Set, pages 555–581. NATO Advanced Studies Institute Series, 1981

  18. [18]

    Generalized persistence diagrams for persistence modules over posets

    Woojin Kim and Facundo M´ emoli. Generalized persistence diagrams for persistence modules over posets. Journal of Applied and Computational Topology , 5, 2021

  19. [19]

    The rank invariant stability via interleavings.Research in Computational Topology, pages 1–10, 2018

    Claudia Landi. The rank invariant stability via interleavings.Research in Computational Topology, pages 1–10, 2018

  20. [20]

    New pseudodistances for the size function space

    Claudia Landi and Patrizio Frosini. New pseudodistances for the size function space. In Robert A. Melter, Angela Y. Wu, and Longin Jan Latecki, editors, Vision Geometry VI, volume 3168, pages 52 – 60. International Society for Optics and Photonics, SPIE, 1997

  21. [21]

    The theory of the interleaving distance on multidimensional persistence modules

    Michael Lesnick. The theory of the interleaving distance on multidimensional persistence modules. Foundations of Computational Mathematics , 15(3):613–650, Jun 2015

  22. [22]

    Interactive Visualization of 2-D Persistence Modules

    Michael Lesnick and Matthew Wright. Interactive Visualization of 2-D Persistence Modules. arXiv e-prints, page arXiv:1512.00180, Dec 2015

  23. [23]

    Computing minimal presentations and bigraded betti numbers of 2-parameter persistent homology

    Michael Lesnick and Matthew Wright. Computing minimal presentations and bigraded betti numbers of 2-parameter persistent homology. SIAM Journal on Applied Algebra and Geometry, 6(2):267–298, 2022

  24. [24]

    Bottleneck stability for generalized persistence dia- grams

    Alex McCleary and Amit Patel. Bottleneck stability for generalized persistence dia- grams. Proceedings of the American Mathematical Society, 148:3149–3161, 2020

  25. [25]

    Edit distance and persistence diagrams over lattices

    Alexander McCleary and Amit Patel. Edit distance and persistence diagrams over lattices. SIAM Journal on Applied Algebra and Geometry , 6(2), 2022

  26. [26]

    Homological algebra of modules over posets, 2020

    Ezra Miller. Homological algebra of modules over posets, 2020

  27. [27]

    Generalized persistence diagrams

    Amit Patel. Generalized persistence diagrams. Journal of Applied and Computational Topology, 1(3):397–419, Jun 2018

  28. [28]

    Towards computing homology from approximations

    Vanessa Robins. Towards computing homology from approximations. Topology Pro- ceedings, 24:503–532, 01 1999. 41

  29. [29]

    On the foundations of combinatorial theory I

    Gian Carlo Rota. On the foundations of combinatorial theory I. Theory of M¨ obius functions. Zeitschrift f¨ ur Wahrscheinlichkeitstheorie und Verwandte Gebiete, 2(4):340– 368, 1964

  30. [30]

    Poset hopf monoids

    Mario Sanchez. Poset hopf monoids. arXiv preprint arXiv:2005.13707 , 2020

  31. [31]

    Springer, 2009

    C´ edric Villani.Optimal transport: old and new . Springer, 2009

  32. [32]

    Computing persistent homology

    Afra Zomorodian and Gunnar Carlsson. Computing persistent homology. In Proceedings of the twentieth annual symposium on Computational geometry , pages 347–356, 2004. 42