Vietoris–Rips complex

In topology, the Vietoris–Rips complex, also called the Vietoris complex or Rips complex, is a way of forming a topological space from distances in a set of points. It is an abstract simplicial complex that can be defined from any metric space M and distance δ by forming a simplex for every finite set of points that has diameter at most δ. That is, it is a family of finite subsets of M, in which we think of a subset of k points as forming a (k − 1)-dimensional simplex (an edge for two points, a triangle for three points, a tetrahedron for four points, etc.); if a finite set S has the property that the distance between every pair of points in S is at most δ, then we include S as a simplex in the complex.

A Vietoris–Rips complex of a set of 23 points in the Euclidean plane. This complex has sets of up to four points: the points themselves (shown as red circles), pairs of points (black edges), triples of points (pale blue triangles), and quadruples of points (dark blue tetrahedrons).

History

The Vietoris–Rips complex was originally called the Vietoris complex, for Leopold Vietoris, who introduced it as a means of extending homology theory from simplicial complexes to metric spaces. After Eliyahu Rips applied the same complex to the study of hyperbolic groups, its use was popularized by Mikhail Gromov (1987), who called it the Rips complex. The name "Vietoris–Rips complex" is due to Jean-Claude Hausmann (1995).

Relation to Čech complex

The Vietoris–Rips complex is closely related to the Čech complex (or nerve) of a set of balls, which has a simplex for every finite subset of balls with nonempty intersection. In a geodesically convex space Y, the Vietoris–Rips complex of any subspace X ⊂ Y for distance δ has the same points and edges as the Čech complex of the set of balls of radius δ/2 in Y that are centered at the points of X. However, unlike the Čech complex, the Vietoris–Rips complex of X depends only on the intrinsic geometry of X, and not on any embedding of X into some larger space.

As an example, consider the uniform metric space M₃ consisting of three points, each at unit distance from each other. The Vietoris–Rips complex of M₃, for δ = 1, includes a simplex for every subset of points in M₃, including a triangle for M₃ itself. If we embed M₃ as an equilateral triangle in the Euclidean plane, then the Čech complex of the radius-1/2 balls centered at the points of M₃ would contain all other simplexes of the Vietoris–Rips complex but would not contain this triangle, as there is no point of the plane contained in all three balls. However, if M₃ is instead embedded into a metric space that contains a fourth point at distance 1/2 from each of the three points of M₃, the Čech complex of the radius-1/2 balls in this space would contain the triangle. Thus, the Čech complex of fixed-radius balls centered at M₃ differs depending on which larger space M₃ might be embedded into, while the Vietoris–Rips complex remains unchanged.

If any metric space X is embedded in an injective metric space Y, the Vietoris–Rips complex for distance δ and X coincides with the Čech complex of the balls of radius δ/2 centered at the points of X in Y. Thus, the Vietoris–Rips complex of any metric space M equals the Čech complex of a system of balls in the tight span of M.

Relation to unit disk graphs and clique complexes

The Vietoris–Rips complex for δ = 1 contains an edge for every pair of points that are at unit distance or less in the given metric space. As such, its 1-skeleton is the unit disk graph of its points. It contains a simplex for every clique in the unit disk graph, so it is the clique complex or flag complex of the unit disk graph. More generally, the clique complex of any graph G is a Vietoris–Rips complex for the metric space having as points the vertices of G and having as its distances the lengths of the shortest paths in G.

Other results

If M is a closed Riemannian manifold, then for sufficiently small values of δ the Vietoris–Rips complex of M, or of spaces sufficiently close to M, is homotopy equivalent to M itself.

Chambers, Erickson & Worah (2008) describe efficient algorithms for determining whether a given cycle is contractible in the Rips complex of any finite point set in the Euclidean plane.

Applications

As with unit disk graphs, the Vietoris–Rips complex has been applied in computer science to model the topology of ad hoc wireless communication networks. One advantage of the Vietoris–Rips complex in this application is that it can be determined only from the distances between the communication nodes, without having to infer their exact physical locations. A disadvantage is that, unlike the Čech complex, the Vietoris–Rips complex does not directly provide information about gaps in communication coverage, but this flaw can be ameliorated by sandwiching the Čech complex between two Vietoris–Rips complexes for different values of δ. An implementation of Vietoris–Rips complexes can be found in the TDAstats R package.

Vietoris–Rips complexes have also been applied for feature-extraction in digital image data; in this application, the complex is built from a high-dimensional metric space in which the points represent low-level image features.

The collection of all Vietoris–Rips complexes is a commonly applied construction in persistent homology and topological data analysis, and is known as the Rips filtration.

References

• Carlsson, Erik; Carlsson, Gunnar; de Silva, Vin (2006), "An algebraic topological method for feature identification" (PDF), International Journal of Computational Geometry and Applications, 16 (4): 291–314, doi:10.1142/S021819590600204X, S2CID 5831809, archived from the original (PDF) on 2019-03-04.
• Chambers, Erin W.; Erickson, Jeff; Worah, Pratik (2008), "Testing contractibility in planar Rips complexes", Proceedings of the 24th Annual ACM Symposium on Computational Geometry, pp. 251–259, CiteSeerX 10.1.1.296.6424, doi:10.1145/1377676.1377721, S2CID 8072058.
• Chazal, Frédéric; Oudot, Steve (2008), "Towards persistence-based reconstruction in euclidean spaces", Proceedings of the twenty-fourth annual symposium on Computational geometry, pp. 232–241, arXiv:0712.2638, doi:10.1145/1377676.1377719, ISBN 978-1-60558-071-5, S2CID 1020710{{citation}}: CS1 maint: date and year (link).
• de Silva, Vin; Ghrist, Robert (2006), "Coordinate-free coverage in sensor networks with controlled boundaries via homology", The International Journal of Robotics Research, 25 (12): 1205–1222, doi:10.1177/0278364906072252, S2CID 10210836.
• Gromov, Mikhail (1987), "Hyperbolic groups", Essays in group theory, Mathematical Sciences Research Institute Publications, vol. 8, Springer-Verlag, pp. 75–263.
• Hausmann, Jean-Claude (1995), "On the Vietoris–Rips complexes and a cohomology theory for metric spaces", Prospects in Topology: Proceedings of a conference in honour of William Browder, Annals of Mathematics Studies, vol. 138, Princeton University Press, pp. 175–188, MR 1368659.
• Latschev, Janko (2001), "Vietoris–Rips complexes of metric spaces near a closed Riemannian manifold", Archiv der Mathematik, 77 (6): 522–528, doi:10.1007/PL00000526, MR 1879057, S2CID 119878137.
• Lefschetz, Solomon (1942), Algebraic Topology, New York: Amer. Math. Soc., p. 271, MR 0007093.
• Muhammad, A.; Jadbabaie, A. (2007), "Dynamic coverage verification in mobile sensor networks via switched higher order Laplacians" (PDF), in Broch, Oliver (ed.), Robotics: Science and Systems, MIT Press.
• Reitberger, Heinrich (2002), "Leopold Vietoris (1891–2002)" (PDF), Notices of the American Mathematical Society, 49 (20).
• Vietoris, Leopold (1927), "Über den höheren Zusammenhang kompakter Räume und eine Klasse von zusammenhangstreuen Abbildungen", Mathematische Annalen, 97 (1): 454–472, doi:10.1007/BF01447877, S2CID 121172198.
• Wadhwa, Raoul; Williamson, Drew; Dhawan, Andrew; Scott, Jacob (2018), "TDAstats: R pipeline for computing persistent homology in topological data analysis", Journal of Open Source Software, 3 (28): 860, Bibcode:2018JOSS....3..860R, doi:10.21105/joss.00860, PMC 7771879, PMID 33381678