@article{13182,
  abstract     = {We characterize critical points of 1-dimensional maps paired in persistent homology
geometrically and this way get elementary proofs of theorems about the symmetry
of persistence diagrams and the variation of such maps. In particular, we identify
branching points and endpoints of networks as the sole source of asymmetry and
relate the cycle basis in persistent homology with a version of the stable marriage
problem. Our analysis provides the foundations of fast algorithms for maintaining a
collection of sorted lists together with its persistence diagram.},
  author       = {Biswas, Ranita and Cultrera Di Montesano, Sebastiano and Edelsbrunner, Herbert and Saghafian, Morteza},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  publisher    = {Springer Nature},
  title        = {{Geometric characterization of the persistence of 1D maps}},
  doi          = {10.1007/s41468-023-00126-9},
  year         = {2023},
}

@article{12763,
  abstract     = {Kleinjohann (Archiv der Mathematik 35(1):574–582, 1980; Mathematische Zeitschrift 176(3), 327–344, 1981) and Bangert (Archiv der Mathematik 38(1):54–57, 1982) extended the reach rch(S) from subsets S of Euclidean space to the reach rchM(S) of subsets S of Riemannian manifolds M, where M is smooth (we’ll assume at least C3). Bangert showed that sets of positive reach in Euclidean space and Riemannian manifolds are very similar. In this paper we introduce a slight variant of Kleinjohann’s and Bangert’s extension and quantify the similarity between sets of positive reach in Euclidean space and Riemannian manifolds in a new way: Given p∈M and q∈S, we bound the local feature size (a local version of the reach) of its lifting to the tangent space via the inverse exponential map (exp−1p(S)) at q, assuming that rchM(S) and the geodesic distance dM(p,q) are bounded. These bounds are motivated by the importance of the reach and local feature size to manifold learning, topological inference, and triangulating manifolds and the fact that intrinsic approaches circumvent the curse of dimensionality.},
  author       = {Boissonnat, Jean Daniel and Wintraecken, Mathijs},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  pages        = {619--641},
  publisher    = {Springer Nature},
  title        = {{The reach of subsets of manifolds}},
  doi          = {10.1007/s41468-023-00116-x},
  volume       = {7},
  year         = {2023},
}

@article{9111,
  abstract     = {We study the probabilistic convergence between the mapper graph and the Reeb graph of a topological space X equipped with a continuous function f:X→R. We first give a categorification of the mapper graph and the Reeb graph by interpreting them in terms of cosheaves and stratified covers of the real line R. We then introduce a variant of the classic mapper graph of Singh et al. (in: Eurographics symposium on point-based graphics, 2007), referred to as the enhanced mapper graph, and demonstrate that such a construction approximates the Reeb graph of (X,f) when it is applied to points randomly sampled from a probability density function concentrated on (X,f). Our techniques are based on the interleaving distance of constructible cosheaves and topological estimation via kernel density estimates. Following Munch and Wang (In: 32nd international symposium on computational geometry, volume 51 of Leibniz international proceedings in informatics (LIPIcs), Dagstuhl, Germany, pp 53:1–53:16, 2016), we first show that the mapper graph of (X,f), a constructible R-space (with a fixed open cover), approximates the Reeb graph of the same space. We then construct an isomorphism between the mapper of (X,f) to the mapper of a super-level set of a probability density function concentrated on (X,f). Finally, building on the approach of Bobrowski et al. (Bernoulli 23(1):288–328, 2017b), we show that, with high probability, we can recover the mapper of the super-level set given a sufficiently large sample. Our work is the first to consider the mapper construction using the theory of cosheaves in a probabilistic setting. It is part of an ongoing effort to combine sheaf theory, probability, and statistics, to support topological data analysis with random data.},
  author       = {Brown, Adam and Bobrowski, Omer and Munch, Elizabeth and Wang, Bei},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  number       = {1},
  pages        = {99--140},
  publisher    = {Springer Nature},
  title        = {{Probabilistic convergence and stability of random mapper graphs}},
  doi          = {10.1007/s41468-020-00063-x},
  volume       = {5},
  year         = {2021},
}

@article{15064,
  abstract     = {We call a continuous self-map that reveals itself through a discrete set of point-value pairs a sampled dynamical system. Capturing the available information with chain maps on Delaunay complexes, we use persistent homology to quantify the evidence of recurrent behavior. We establish a sampling theorem to recover the eigenspaces of the endomorphism on homology induced by the self-map. Using a combinatorial gradient flow arising from the discrete Morse theory for Čech and Delaunay complexes, we construct a chain map to transform the problem from the natural but expensive Čech complexes to the computationally efficient Delaunay triangulations. The fast chain map algorithm has applications beyond dynamical systems.},
  author       = {Bauer, U. and Edelsbrunner, Herbert and Jablonski, Grzegorz and Mrozek, M.},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  number       = {4},
  pages        = {455--480},
  publisher    = {Springer Nature},
  title        = {{Čech-Delaunay gradient flow and homology inference for self-maps}},
  doi          = {10.1007/s41468-020-00058-8},
  volume       = {4},
  year         = {2020},
}

@article{6671,
  abstract     = {In this paper we discuss three results. The first two concern general sets of positive reach: we first characterize the reach of a closed set by means of a bound on the metric distortion between the distance measured in the ambient Euclidean space and the shortest path distance measured in the set. Secondly, we prove that the intersection of a ball with radius less than the reach with the set is geodesically convex, meaning that the shortest path between any two points in the intersection lies itself in the intersection. For our third result we focus on manifolds with positive reach and give a bound on the angle between tangent spaces at two different points in terms of the reach and the distance between the two points.},
  author       = {Boissonnat, Jean-Daniel and Lieutier, André and Wintraecken, Mathijs},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  number       = {1-2},
  pages        = {29–58},
  publisher    = {Springer Nature},
  title        = {{The reach, metric distortion, geodesic convexity and the variation of tangent spaces}},
  doi          = {10.1007/s41468-019-00029-8},
  volume       = {3},
  year         = {2019},
}

@article{6774,
  abstract     = {A central problem of algebraic topology is to understand the homotopy groups  𝜋𝑑(𝑋)  of a topological space X. For the computational version of the problem, it is well known that there is no algorithm to decide whether the fundamental group  𝜋1(𝑋)  of a given finite simplicial complex X is trivial. On the other hand, there are several algorithms that, given a finite simplicial complex X that is simply connected (i.e., with   𝜋1(𝑋)  trivial), compute the higher homotopy group   𝜋𝑑(𝑋)  for any given   𝑑≥2 . However, these algorithms come with a caveat: They compute the isomorphism type of   𝜋𝑑(𝑋) ,   𝑑≥2  as an abstract finitely generated abelian group given by generators and relations, but they work with very implicit representations of the elements of   𝜋𝑑(𝑋) . Converting elements of this abstract group into explicit geometric maps from the d-dimensional sphere   𝑆𝑑  to X has been one of the main unsolved problems in the emerging field of computational homotopy theory. Here we present an algorithm that, given a simply connected space X, computes   𝜋𝑑(𝑋)  and represents its elements as simplicial maps from a suitable triangulation of the d-sphere   𝑆𝑑  to X. For fixed d, the algorithm runs in time exponential in   size(𝑋) , the number of simplices of X. Moreover, we prove that this is optimal: For every fixed   𝑑≥2 , we construct a family of simply connected spaces X such that for any simplicial map representing a generator of   𝜋𝑑(𝑋) , the size of the triangulation of   𝑆𝑑  on which the map is defined, is exponential in size(𝑋) .},
  author       = {Filakovský, Marek and Franek, Peter and Wagner, Uli and Zhechev, Stephan Y},
  issn         = {2367-1734},
  journal      = {Journal of Applied and Computational Topology},
  number       = {3-4},
  pages        = {177--231},
  publisher    = {Springer},
  title        = {{Computing simplicial representatives of homotopy group elements}},
  doi          = {10.1007/s41468-018-0021-5},
  volume       = {2},
  year         = {2018},
}

