\`x^2+y_1+z_12^34\`
Advanced Search
Article Contents
Article Contents

Combinatorial persistent homology transform

  • *Corresponding author: Brittany Terese Fasy

    *Corresponding author: Brittany Terese Fasy 

BTF is supported by the National Science Foundation under grant no. DMS 1664858. AP is supported by the Leverhulme Trust grant VP2-2021-008.

Abstract / Introduction Full Text(HTML) Figure(6) / Table(1) Related Papers Cited by
  • The combinatorial interpretation of the persistence diagram as a Möbius inversion was recently shown to be functorial. We employ this discovery to recast the Persistent Homology Transform of a geometric complex as a representation of a cellulation on $ \mathbb{S}^n $ to the category of combinatorial persistence diagrams. Detailed examples are provided. We hope this recasting of the PH transform will allow for the adoption of existing methods from algebraic and topological combinatorics to the study of shapes.

    Mathematics Subject Classification: Primary: 55U99, 68P01; Secondary: 57Z25.

    Citation:

    \begin{equation} \\ \end{equation}
  • 加载中
  • Figure 1.  The V, embedded in $ \mathbb{R}^2 $. This simplicial complex has three vertices and two edges. By exploring the combinatorial PH transform for this example, we illustrate each step of the construction

    Figure 2.  In (a), we see the three linear subpaces of $ \mathbb{R}^2 $ that are used to define the cellulation over $ \mathbb{S}^1 $. In (b), each cell is labeled by a vector in $ \{-, 0, +\}^3 $ according to which side of $ S_{1, 2} $, $ S_{1, 3} $, and $ S_{2, 3} $ the cell falls. For example, the vector $ (-++) $ labels the one-cell whose points are all in $ S_{1, 2}^- $, $ S_{1, 3}^+ $, and $ S_{2, 3}^+ $. The vector $ (0++) $ labels the zero-cell that is in $ S_{1, 2} $, $ S_{1, 3}^+ $, and $ S_{2, 3}^+ $. In fact, $ \mathit{C}_{(0++)} = S_{1, 2}\cap S_{1, 3}^+\cap S_{2, 3}^+ $. Note that no label is $ (000) $, and that all labels are distinct. The partial order of the cells is denoted by arrows (where $ a \to b $ indicates that $ b < a $)

    Figure 3.  The bounded lattice functions for the three highlighted face relations in Figure 2(b). Notice that the two maps into $ \mathit{P}_{(0++)} $ are nearly bijections, except for two vertices ($ v_1 $ and $ v_2 $) that map to the same equivalence class for both maps. This corresponds to the transposition of the two vertices between directions in $ \mathit{C}_{(+++)} $ and $ \mathit{C}_{(-++)} $. In fact, this property holds more generally for any face relation between codimension-one cells

    Figure 4.  The maps $ \overline{P_{(+++)}} \to \overline{P_{0++}} $ and $ \mathtt{ZB}_0( \overline{P_{(+++)}} \to \overline{P_{0++}}) $. In both maps, the objects in the same pink region get mapped to the same object in the codomain. Using the field $ \mathtt{k} = \mathbb{Z} / 2 \mathbb{Z} $, for $ b\neq \top $, $ \mathtt{ZB}_0[a, b] $ counts the number of zero-cycles in the simplicial complex $ \mathit{F}(a) $ that are zero-boundaries in the larger simplicial complex $ \mathit{F}(b) $. $ \mathtt{ZB}_0[a, \top] $ is a count of the number of vertices in $ \mathit{F}(a) $

    Figure 5.  A geometric complex in $ \mathbb{R}^3 $ with the induced cellulation of $ \mathbb{S}^2 $. The cellulation depends only on the vetices of the complex. Since the vertices are in general position, each great circle on $ \mathbb{S}^2 $ is distinct

    Figure 6.  Face relations induce surjective poset maps. These maps, in turn, induce arrows in $ \mathtt{Fil} $

    Table 1.  Notations for categories and functors. We assume $ \mathtt{C} $ is a category and $ a, b, c \in \mathtt{ob}{ \mathtt{C}} $

    $ \mathtt{ob}{ \mathtt{C}} $ objects in $ \mathtt{C} $
    $ \text{Hom}_ \mathtt{C}(a, b) $ the set of morphisms or arrows between $ a $ and $ b $ in $ \mathtt{C} $
    $ \circ $ composition of morphisms
    $ 1_a $ the identity morphism in $ \text{Hom}_{ \mathtt{C}}(a, a) $
     | Show Table
    DownLoad: CSV
  • [1] P. K. AgarwalH. EdelsbrunnerJ. Harer and Y. Wang, Extreme elevation on a 2-manifold, Discreteand Computational Geometry, 36 (2006), 553-572. 
    [2] R. L. Belton, B. T. Fasy, R. Mertz, S. Micka, D. L. Millman, D. Salinas, A. Schenfisch, J. Schupbach and L. Williams, Reconstructing embedded graphs from persistence diagrams, Computational Geometry: Theory and Applications, 90 (2020), 18 pp.
    [3] L. M. Betthauser, Topological Reconstruction of Grayscale Images, PhD thesis, University of Florida, 2018.
    [4] A. BjörnerM. Las VergnasB. StrumfelsN. White and  G. ZieglerOriented Matroids, Cambridge University Press, 1993. 
    [5] L. E. J. Brouwer, Collected Works volume 2: Geometry, Analysis, Topology and Mechanics, North-Holland/American Elsevier, North Holland, Amsterdam, 1976. Chapter 6. New Methods in Topology. Proof from 1911.
    [6] P. Bubenik and M. J. Catanzaro, Multiparameter persistent homology via generalized Morse theory, arXiv: 2107.08856, 2021.
    [7] D. Cohen-Steiner, H. Edelsbrunner and D. Morozov, Vines and vineyards by updating persistence in linear time, In Proceedings of the Twenty-Second Annual Symposium on Computational Geometry, New York, NY, USA, ACM. (2006), 119-126
    [8] L. CrawfordA. MonodA. X. ChenS. Mukherjee and R. Rabadán, Predicting clinical outcomes in glioblastoma: An application of topological and functional data analysis, Journal of the American Statistical Association, 115 (2020), 1139-1150. 
    [9] J. M. Curry, Sheaves, Cosheaves, and Applications, PhD thesis, The University of Pennsylvania, 2014.
    [10] J. CurryS. Mukherjee and K. Turner, How many directions determine a shape and other sufficiency results for two topological transforms, Trans. Amer. Math. Soc. Ser. B, 9 (2022), 1006-1043. 
    [11] V. De SilvaE. Munch and A. Patel, Categorified Reeb graphs, Discrete Computational Geometry, 55 (2016), 854-906. 
    [12] B. T. Fasy, S. Micka, D. L. Millman, A. Schenfisch and L. Williams, Challenges in reconstructing shapes from Euler characteristic curves, In Proceedings of the Fall Workshop on Computational Geometry, 2018, Also available at arXiv: 1811.11337.
    [13] R. GhristR. Levanger and H. Mai, Persistent homology and Euler integral transforms, Journal of Applied and Computational Topology, 2 (2018), 55-60. 
    [14] A. HatcherAlgebraic Topology, Cambridge University Press, Cambridge, 2000. 
    [15] C. Hofer, R. Kwitt, M. Niethammer, Y. Höller, E. Trinka and A. Uhl, Constructing shape spaces from a topological perspective, In International Conference on Information Processing in Medical Imaging, (2017), 106-118.
    [16] Q. Jiang, S. Kurtek and T. Needham, The weighted Euler curve transform for shape and image analysis, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, (2020), 844-845.
    [17] W. Kim and F. Mémoli, Spatiotemporal persistent homology for dynamic metric spaces, Discrete Computational Geometry, 66 (2021), 831-875. 
    [18] H. Lebesgue, Sur l'invariance du nombre de dimensions d'un espace et sur le théorème de M. Jordan relatif aux variétés fermées, Comptes Rendus de l'Académie des Sciences - Series I - Mathematics, 1911.
    [19] C. Maria, S. Oudot and E. Solomon, Intrinsic topological transforms via the distance kernel embedding, In Sergio Cabello and Danny Z. Chen, editors, Proceedings of the Thirty-Sixth Annual International Symposium on Computational Geometry, volume 164 of Leibniz International Proceedings in Informatics (LIPIcs), Schloss Dagstuhl–Leibniz-Zentrum für Informatik.164 (2020), 1-15.
    [20] A. McCleary and A. Patel, Edit distance and persistence diagrams over lattices, SIAM Journal on Applied Algebra and Geometry, 6 (2022), 134-155. 
    [21] S. A. Micka, Searching and Reconstruction: Algorithms with Topological Descriptors, PhD thesis, Montana State University, 2020.
    [22] E. MunchK. TurnerP. BendichS. MukherjeeJ. Mattingly and J. Harer, Probabilistic Fréchet means for time varying persistence diagrams, Electronic Journal of Statistics, 9 (2015), 1173-1204. 
    [23] E. Riehl, Category Theory in Context, Dover Publications, 2013.
    [24] B. Terese Fasy, S. Micka, D. L. Millman, A. Schenfisch and L. Willia, A faithful representation of the PHT and other topological transforms, arXiv: 1912.12759, 2020.
    [25] K. TurnerS. Mukherjee and D. M. Boyer, Persistent homology transform for modeling shapes and surfaces, Information and Inference: A Journal of the IMA, 3 (2014), 310-344. 
  • 加载中

Figures(6)

Tables(1)

SHARE

Article Metrics

HTML views(4087) PDF downloads(148) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return