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The distance function to a finite set is a topological Morse function

Published 22 Jul 2024 in math.DG and cs.CG | (2407.15578v1)

Abstract: In this short note, we show that the distance function to any finite set $X\subset \mathbb{R}n$ is a topological Morse function, regardless of whether $X$ is in general position. We also precisely characterize its topological critical points and their indices, and relate them to the differential critical points of the function.

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References (29)
  1. Stability and computation of medial axes-a state-of-the-art report. Mathematical foundations of scientific visualization, computer graphics, and massive data exploration, pages 109–125, 2009.
  2. Optimal reach estimation and metric learning. The Annals of Statistics, 51(3):1086–1108, 2023.
  3. Critical points of the distance function to a generic submanifold. arXiv preprint arXiv:2312.13147, 2023.
  4. Wasserstein convergence of Čech persistence diagrams for samplings of submanifolds. arXiv preprint arXiv:2406.14919, 2024.
  5. Estimating the reach of a manifold. Electronic Journal of Statistics, 13(1):1359 – 1399, 2019.
  6. Distance functions, critical points, and the topology of random Čech complexes. Homology, Homotopy and Applications, 16:311–344, 01 2014.
  7. The morse theory of Čech and delaunay complexes. Transactions of the American Mathematical Society, 369:1, 06 2016.
  8. Random Čech complexes on riemannian manifolds. Random Structures & Algorithms, 54(3):373–412, 2019.
  9. Wrapping Cycles in Delaunay Complexes: Bridging Persistent Homology and Discrete Morse Theory. In 40th International Symposium on Computational Geometry (SoCG 2024), volume 293 of Leibniz International Proceedings in Informatics (LIPIcs), pages 15:1–15:16, 2024.
  10. On the vanishing of homology in random Čech complexes. Random Structures and Algorithms, 07 2015.
  11. A sampling theory for compact sets in euclidean space. Discrete & Computational Geometry, 41:461–479, 06 2006.
  12. The structure and stability of persistence modules, volume 10. Springer, 2016.
  13. Topology guaranteeing manifold reconstruction using distance function to noisy data. volume 2006, pages 112–118, 06 2006.
  14. Frank H Clarke. Optimization and nonsmooth analysis. SIAM, 1990.
  15. G. Carlsson and M. Vejdemo-Johansson. Topological Data Analysis with Applications. Topological Data Analysis with Applications. Cambridge University Press, 2021.
  16. Random čech complexes on manifolds with boundary. Random Structures & Algorithms, 61:309 – 352, 2019.
  17. Computational topology: an introduction. American Mathematical Society, 2022.
  18. Morse theory for min-type functions. The Asian Journal of Mathematics, 1, 01 1997.
  19. Karsten Grove. Critical point theory for distance functions. Proceedings of Symposia in Pure Mathematics, pages 357–385, 1993.
  20. H.Th Jongen and D. Pallaschke. On linearization and continuous selections of functions. Optimization, 19(3):343–353, 1988.
  21. André Lieutier. Any open bounded subset of rn has the same homotopy type as its medial axis. Computer-Aided Design, 36(11):1029–1046, 2004.
  22. J.W. Milnor. Morse Theory. Annals of mathematics studies. Princeton University Press, 1963.
  23. Marston Morse. Topologically non-degenerate functions on a compact n-manifold M. Journal d’Analyse Mathématique, 7(1), December 1959.
  24. Finding the homology of submanifolds with high confidence from random samples. Discrete & Computational Geometry, 39:419–441, 2008.
  25. A roadmap for the computation of persistent homology. EPJ Data Science, 6:1–38, 2017.
  26. Morse theory for the k-nn distance function, 2024.
  27. Ralph Rockafellar. Convex Analysis. Princeton University Press, 1970.
  28. Dirk Siersma. Voronoi diagrams and morse theory of the distance function, 1996.
  29. Generalized morse theory of distance functions to surfaces for persistent homology. arXiv preprint arXiv:2306.14716, 2023.

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