Manifolds of Positive Reach, Differentiability, Tangent Variation, and Attaining the Reach
Abstract
This paper contains three main results.
Firstly, we give an elementary proof of the following statement: Let be a topological manifold without boundary embedded in . If has positive reach, then can locally be written as the graph of a function from the tangent space to the normal space. Conversely if can locally be written as the graph of a function from the tangent space to the normal space, then has positive reach. The result was hinted at by Federer when he introduced the reach, and proved by Lytchak. Lytchak’s proof relies heavily on CAT(k)-theory. The proof presented here uses only basic results on homology.
Secondly, we give optimal Lipschitz-constants for the derivative, in other words we give an optimal bound for the angle between tangent spaces in term of the distance between the points. We stress that Lytchak did not provide any bound, let alone an optimal one, making his proof, although interesting from a mathematical perspective, ineffectual in an algorithmic setting. To provide precise and optimal bounds on the angle between tangent spaces, we formally introduce the local reach for sets of positive reach, based on Aamari et al.’s discussion for manifolds. We prove that the local reach of a manifold is completely characterized by the variation of tangent spaces. This improves earlier results, that were either suboptimal or assumed that the manifold was .
Thirdly, we show that the value of the reach is equals minimum of the local reach of the set and a global bottleneck for any set. This generalizes a result by Aamari et al. which explains how the reach is attained for manifolds.
Keywords and phrases:
Reach, Manifolds, Differentiability class, Lipschitz continuity, Tangent spaceFunding:
Mathijs Wintraecken: Supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754411. The Austrian science fund (FWF) grant No. M-3073, the ANR grant StratMesh (ANR-24-CE48-1899), and the welcome package from IDEX of the Université Côte d’Azur (ANR-15-IDEX-01).Copyright and License:
2012 ACM Subject Classification:
Theory of computation Computational geometryAcknowledgements:
We thank Jean-Daniel Boissonnat for discussion. We would also like to acknowledge the organizers of the workshop on “Algorithms for the Medial Axis”, and Erin Chambers in particular for giving an impulse to this research. We further thank the reviewers for their comments that improved the exposition.Editors:
Hee-Kap Ahn, Michael Hoffmann, and Amir NayyeriSeries and Publisher:
Leibniz International Proceedings in Informatics, Schloss Dagstuhl – Leibniz-Zentrum für Informatik
1 Introduction
In [13] Federer introduced the reach of a closed set as the minimum of the distance from to the medial axis , i.e. the set of points in for which the closest point in is not unique. Assumptions on the reach (and its local version the local feature size [4]) underpin the correctness of many algorithms in computational geometry and topology. In this paper we consider the differentiability class of manifolds of positive reach and give tight bounds on the angle between nearby tangent spaces for general manifolds of positive reach. For arbitrary sets of positive reach we give a geometrical explanation on how the reach in attained.
Previous work
Differentiability.
Federer proved that the reach is stable under -diffeomorphisms of the ambient space. Here we write to indicate maps whose derivative is Lipschitz, and by a -diffeomorphism we mean that both the diffeomorphism and its inverse are . Federer [13, Remark 4.20] furthermore mentioned (without going into much detail on one direction of the implication) that the graph of a function has positive reach if and only if it is . Lytchak [21, 22] proved that a topologically embedded manifold without boundary has positive reach if and only if it is , without a quantitative bound on the Lipschitz constant. This statement is quantified in our Theorem 1 below. We emphasize that quantifying these constants is essential for the result to allow us to formulate sampling criteria that guarantee the correctness of algorithms.
Lytchak’s proof requires significant background in CAT(k)-theory. Lytchak, motivated by bounds on intrinsic curvature, does not give any quantified bound on the extrinsic curvature, which play an important role in this paper.
Scholtes [27] also gave a proof that a hypersurface has positive reach if and only if it is , using different techniques from both the ones employed by Lytchak and in this paper. Scholtes’ method uses the fact that the manifold has codimension one in an essential way.
Rataj and Zajíček [26] prove that if a Lipschitz manifold has positive reach, then it is . They also use Lemma 17, however the assumption that the manifold is already Lipschitz simplifies the matter considerably, in particular they can skip the topological analysis. Moreover, again, they do not quantify their results in the way that we do and is essential for guarantees for algorithms. Recently, Leobacher and Steinicke [18] also reproved Lytchak’s result, but once more the result was not quantified. We further stress that the bounds that we provide on the Lipschitz constants are tight, as we’ll discuss in more detail below.
Geometric bounds and tangent variation.
Bounding the tangent angle variation on smooth manifolds is crucial for establishing constants in the context manifolds reconstruction and meshing [4, 10, 12, 7]. If we now focus on more recent results, some authors consider angle variation bounds for a given local feature size bound [17]. Other authors, including the ones of the present paper, give angle variation bounds based on the reach [8]. Assuming the surface to be smooth, more specifically smooth, allows using standard differential geometry tools such as second fundamental forms, curvatures and Riemannian geometry, while, as hinted at by Federer’s and Lytchak’s results, the weaker positive reach assumption is sufficient for many properties to hold.
For example, in [8], the angle variation bound given for manifolds are clearly optimal (the bound is attained on spheres) while only suboptimal bounds are derived for , or positive reach, manifolds.
Attaining the reach.
In [1, Theorem 3.4], Aamari et al. make the following observation for manifolds: The reach of a submanifold of Euclidean space can be expressed as the minimum of a global quantity, realized at so called “bottlenecks”, and a local quantity, the inverse of the maximal extrinsic curvature. These “bottlenecks” can be formally related to a global reach and the local quantity with a local reach, which we’ll do in this paper. We stress that the concepts of the local and global reach are mentioned once in the introduction of [1], no formal definition was given in that paper. Moreover, while this assumption is somewhat implicit in the proof of [1, Theorem 3.4], the analysis uses the context of Riemannian geometry, assuming the regularity of the manifold. We further emphasize that [1] focused uniquely on manifolds, which contrasts with the definition for global reach and local reach for any set of positive reach in this paper.
These results explain how the reach is attained, see Figure 1. This gives insight in which parts of a set of positive reach present the “difficult” parts for algorithms, in the examples we’ll discuss now.
Motivation and related work
The assumption of positive reach is central to almost all triangulation algorithms, see for example [10, 12, 7], manifold learning, see for example [15, 14, 2, 28], and homotopy inference, see for example [24, 29]. Closing the gap between and positive reach manifolds significantly extends the applications domains. This extension is necessary to include for example the boundary of objects that have been designed by computer aided design software. These boundaries are generically tangent continuous and have bounded curvature (e.g. two planar faces connected through a cylindrical fillet surface), but don’t have continuous curvature.
The main result of this paper makes precise what it means for a topologically embedded submanifold of Euclidean space to have positive reach: The embedding is necessarily -smooth (Theorem 1) and we give a tight bound on the (generalized) extrinsic curvature of the submanifold (Theorem 4).
Generalized tangent and normal spaces.
Federer showed that although sets of positive reach are more general than smooth manifolds, they still posses generalized tangent and normal spaces, which are convex cones instead of just linear spaces. Roughly speaking, the normal cone at a point of a set with positive reach determines the topological “link” of point in the set, that is the local topology.
To prove the Theorem 1 it is essential to show that the normal cone at any point of a positive reach, topologically embedded -manifold is a -dimensional vector space. In the proofs of [21, 22] the relation between the normal cone at a point of a topologically embedded manifold with positive reach and the “link” of is established using CAT(k)-theory. In contrast, our (short) proof (see the overview in Section 3 and Lemma 31 of [20]) is based on elementary properties of (the homology of) convex cones makes this correspondence more transparent in our opinion.
We further extend the results of [21, 22] by giving an optimal bound on the angle variation of tangent spaces. This also extends the same bound obtained in the particular context of manifolds [8]. We even obtain a significantly stronger result, that is, we characterize the local reach of a manifold completely by the tangent variation.
Contribution.
In this paper we give an elementary proof of the following characterizations of manifolds of positive reach. Moreover the statement is quantified with optimal constants. Here we write or for the closed or open ball centred at with radius .
Theorem 1.
If is a topologically embedded manifold with positive reach and a point in , then is the graph of a function above the open domain .
We also generalize the notations of local and global reach from submanifolds [1] to arbitrary compact sets (of positive reach):
Definition 2 (Local and global reach).
For a closed set , we define the local and global reach as:
| (1) | |||
| (2) | |||
| (3) |
where .
Remark 3.
To be able to give the bounds on the tangent variation/extrinsic curvature we need to introduce some notation.
We write for the Grassmannian, that is the space of -linear subspaces of with metric given by the sine of the maximum angle. We recall that the maximum angle is given by
| (5) |
We use this maximal angle as our metric. It is not that difficult to establish that this is indeed a metric, see [30] or [25] for a far reaching generalization.111The sine of this angle also defines a metric on the Grassmannian as can be found in e.g. [16, Chapter IV, Section 2.1] or [3, Section 34], see Appendix B of [20] for a more extensive description. It seems that in a number of fields the sine of the angles is a more common metric, but it is suboptimal in this context. We further stress that neither of these metrics equal the standard Riemannian metric on the Grassmannian, which is given by the sum of the squares of the principal angles, see e.g. [31].
Theorem 4.
If is a topologically embedded -manifold with reach at least , then tangent spaces and normal spaces to are linear spaces at any point and the maps and are Lipschitz.
Moreover, the smallest Lipschitz constant satisfied by is :
| (6) |
where denotes the geodesic distance on and we say that when and are not connected by any path in and that .
Remark 5.
If is a manifold with boundary then the results of Theorem 4 still hold as long as there is a shortest path geodesic between and that lies completely in the interior of .
Next theorem is a generalization of [1, Theorem 3.4] which was formulated in the particular situation where is a embedded manifold, in which case is also the supremum of extrinsic curvature.
Theorem 6.
If is a compact subset of , then:
We refer to Figure 1 for an illustration.
2 Preliminaries
In this section we first recall some results and definitions concerning sets of positive reach. The results concerning the reach are mainly taken from [13] and [8].
2.1 Sets of positive reach
Throughout this paper we will write for a general closed set (mostly with positive reach) and for a manifold (mostly without boundary) and in some (rare) cases for its boundary (if it exists).
The concept of a tangent space of a smoothly embedded manifold has been generalized by Federer to tangent cones in the following manner:
Definition 7 (Generalized tangent spaces, Definitions 4.3 and 4.4 of [13]).
If and , then the generalized tangent space
is the set of all tangent vectors of at consists of all those , such that either or for every there exists a point with
| and |
The set
of all normal vectors of at consists of all those such that for all .
Definition 8.
We write for the closest point projection on .
Although it is possible to define a set valued version of , we only use the projection map outside the medial axis, that is at those points where there is a single closest point.
For the remainder of this subsection we will recall the properties of this map and sets of positive reach that are essential for this paper.
Lemma 9 (Angle with tangent space, Theorem 4.8(7) of [13]).
Suppose that is a set positive reach . Let such that . We have
| (7) |
Moreover, a variant of the previous lemma characterizes the reach for arbitrary closed sets, that is:
Lemma 10 (Distance to tangent space characterizes the reach, Theorem 4.18 of [13]).
For a closed subset of Euclidean space , one has:
| (8) |
Lemma 11 (Theorem 4.8 (4) of [13]).
is continuous on .
In fact the following lemma strengthens the previous.
Lemma 12 (Theorem 4.8 (8) of [13]).
If , and
then
Lemma 13 (Theorem 4.8 (12) of [13]).
If and , then
is the convex cone dual to , and
for , where is the Euclidean distance.
Lemma 14 (Remark 4.15 (1) of [13]).
If and , then is contractible.
2.1.1 Geodesics
We also recall a result from the second paragraph of Part III, Section 1: “Die Existenz geodätischer Bogen in metrischen Räumen” in [23]:
Lemma 15 (Menger’s existence of geodesics).
For a closed set , denotes the geodesic distance in , i.e. is the infimum of lengths of paths in between and . If there is at least one path between and with finite length, then it is known that a minimizing geodesic, i.e. a path with minimal length connecting to exists. When no such path between and with finite length exists, we write .
We’ll be using the metric characterization of the reach from [8] quite often in this paper.
Theorem 16 (Theorem 1 of [8]).
If is a closed set, then
| (9) |
where the over the empty set is .
2.2 Embeddings and atlases
We consider below an embedded, compact -manifold with an atlas associated with an open cover :
and charts that are homeomorphisms on their images, where the topology on is the one induced by the ambient metric of .
Note that, topologically222We say that an embedding is topological to stress that we don’t make any assumption beyond the assumption that it is a homeomorphism onto its image, in particular no assumptions on differentiability are made. embedded manifold does not exclude wild embeddings [11] but, as seen below, the positive reach assumption does, because the embedding is proven to be .
3 Overview of the first two main results: Manifolds of positive reach, differentiability, and tangent variation
In this section we provide an overview of the proof of the first two main results of this paper Theorems 1 and 4. We discuss this in complete detail with full proofs of the statements in the appendix of the full version of this paper, that is [20].
A topologically embedded manifold with positive reach is differentiably embedded.
Consider a topologically embedded manifold with positive reach. That is, we don’t assume anything on the embedding of the manifold except that it is a homeomorphism with its image. However, the assumption that the manifold has positive reach yields that the generalized tangent spaces (see Definition 7) are cones.


We characterize convex cones by topological means (roughly speaking) as follows. We recall that a convex cone is a subset of that is convex and for each in the set we have that is also in the set for . By this we mean that, roughly speaking, convex cones come into two classes:
-
1.
The convex cone is defined by
where is a contractible subset of . Note that . In this case is (again roughly speaking) either a tapering object or a half space.
-
2.
The convex cone is defined by
where is a ( dimensional, with ) geodesic sphere in . In this case is a vector space.
These two classes are characterized by the homology of . The contractibility of is the key ingredient, see Lemma 30 of [20]. More precisely, we’ll use that is contractible on the sphere if and only if isn’t a vector space.
In Section A.2 of the appendix of [20] we’ll establish, based on the characterization of Appendix A.1 of [20], that for topologically embedded manifolds the tangent cones are in fact tangent spaces. The proof proceeds in two steps:
-
In Lemma 31 of [20], we’ll see that has the same homology as , see Figure 3. This result will rely on the deformation retract along the closest point projection of sets of positive reach and its continuity as established by Federer [13]. We stress that the normal cone is the dual of the tangent cone , which explains the link with Lemma 30 of [20].
-
In the proof of Lemma 32 of [20], we’ll see that if is manifold, then has the homology of a sphere of dimension , which with the previous lemma allows us to conclude that is a vector space. The proof combines topological reasoning with arguments based on the charts of the manifold .
By definition we have that if a manifold has a tangent space it is differentiably embedded, but that does not mean that the manifold has to be continuously differentiably embedded, this is what will be the topic we’ll address next.
Semi-continuity of normal cones and embeddings.
In Section A.3 of [20] we will first prove a more general statement (Lemma 33 of [20]), namely semi-continuity of the normal cones for general sets of positive reach. By this we mean that given a point and its normal cone , for all there exists a neighbourhood of such that for all in this neighbourhood, we have that the normal cone makes only an angle with some subset of . The proof is elementary, but rather technical, and relies on compactness arguments and the manipulation of offsets.
Lemma 33 of [20] together with the observation that the tangent spaces are -dimensional vector spaces the one sided bound on the angle between the normal cones above is in fact a two-sided bound, see Lemma 34 of [20], yields that the manifold is , that is continuously differentiable. Lemma 35 of [20] strengthens this even further and explains that can locally be written as the graph of a function. To put it differently, using some geometrical and analytical arguments we see that the manifold (locally) projects injectively on its tangent cone (which is an affine space by Lemma 32 of [20]). This then allows us to identify it, locally, as the graph of a differentiable map from the tangent space to the normal space.
From to embeddings.
Appendix A.4 of [20] proves the majority of the main statements of the paper, namely that manifolds with positive reach are and characterizes the Lipschitz constants of the derivative in terms of the local reach. It is the most technical section and relies heavily on the theory of semiconcave functions. Most crucially we’ll use the following result, namely Corollary 3.3.8 of [9]:
Lemma 17.
Let be a function defined on a convex open set . Then the following properties are equivalent:
-
is of class with -Lipschitz derivative.
-
both and are convex functions.
Although that the precise technical way that this result is used is too intricate to explain in a paragraph or two, the link between sets of positive reach and Lemma 17 can be explained in geometrical terms. Assume for the moment that has reach . As a consequence of Lemma 13 the interior of every ball that is tangent to a manifold , that has radius less or equal to (the reach of ) does not intersect itself. Geometrically speaking the fact that and are convex functions can be expressed by the fact that (locally) the interior of parabolae that are tangent to the manifold have an empty interior, see Figure 4. Of course these parabolae are just second order approximations of the spheres. Because we are just interested in the Lipschitz constants of the derivative this approximation suffices.
Using Lemma 17 we do not directly prove our bound on the angle between nearby tangent spaces, instead we first establish the bound
see Lemma 39 of [20], where is the local function (from the tangent to normal space) of which is locally the graph and denotes the operator two norm, in other words we regard the Jacobians as matrices depending on and bound their Lipschitz constant in a way that is close to optimal.
From the result of Lemma 39 of [20] it is not very difficult to derive a local bound between tangent spaces, which is done in Lemma 40 of [20]. This local bound can then be extended (Lemma 41 of [20]) to a non-local statement by gluing the local estimates on the angle between tangent spaces along a geodesic, which exists thanks to Lemma 15. This allows us to establish one of the main results, the characterization of the local reach in terms of the tangent variation in Theorem 4, whose proof requires a significant amount of computation. The optimal size of the domain (in a fixed tangent space) such that can be written as the graph of a function from a (fixed) tangent space to its normal space is then given in Theorem 1. The proof can be sketched as follows: By combining Theorems 4 and 16 with the submersion theorem we can establish a local diffeomorphism. The global diffeomorphism is established by proving that the covering number is one.
4 Global and local reach
In this section we stablish the third main result of the paper, that is Theorem 6. This theorem generalizes the results of [1] on how the reach is attained from manifolds to arbitrary sets of positive reach. It states that the reach is a consequence of either curvature maxima or so-called bottlenecks. In our result we replace the curvature by the local reach, which in turn is defined using local metric distortion, while the bottlenecks are similar in nature. In a number of cases we will have to assume that the set is bounded/compact.
Athough some of the details of the proof of Theorem 6 are a bit technical, the main idea is not that complicated. In fact we provide a sketch of the proof in Figure 5 and its caption.
We recall the definition from the introduction: See 2
Lemma 18.
The map defined over is lower semi-continuous, in other words:
Proof.
By definition of , we have that for any there is such that:
| (10) |
One gets
| (by (3) applied to the set ) | ||||
| (by (4)) | ||||
| (by (10)) |
Because this inequality holds for any positive , the equality follows.
Remark 19.
As a consequence, when is compact, the in (3) is a , in other words there exists at least one point such that .
Definition 20.
A bottleneck is a pair of points such that
We have the following variant of Lemma 12 of [8], which in turn is a relatively straightforward generalization to arbitrary dimension of Property I of [5]:
Lemma 21.
If a geodesic (or more generally a curve) parametrized according to arc length on the interval satisfies
| (11) |
then as long as ,
where and .
Proof.
The length of in the direction is
where, in the above inequality, we use the assumption and the fact that is decreasing on .
Because , we see that
Corollary 22.
If is a geodesic in with length , then
Lemma 23.
Let and denote by
the unique point closest to in .
Then, for any , there is such that,
| (12) |
Proof.
Consider the closed set . The minimum distance to is attained at least at some point in so that
Taking
we get, for any such that and that:
We have shown that if , then . It follows that any closest point to in is in which is (12).
Theorem 6. [Restated, see original statement.]
If is a compact subset of , then:
Proof.
We consider first the situation where . In this case, since is bounded, there exists some point . Then, for any , there is some such that , so that there are at least two points in closest to . Thus, , and, since this holds for any , we get that and as a direct consequence .
We assume now that .
As we have seen in Equation (4) of Remark 3, we have that . Therefore it suffices to prove that, if , then . So let us assume now that .
Since is compact and thus bounded, which implies that a closed -neighbourhood of is also bounded, there must exist , where is the closure of the medial axis , such that .
If , in particular and there is a unique point closest to in . Choose some and, as in Lemma 23, take so that (12) holds and, moreover, such that
Since , there exists , and therefore Lemma 23 yields that there exists at least two points such that .
Because , by Theorem 16, there is a geodesic from to of length at most , which is less that . But then one can apply Corollary 22, which implies that the length of a geodesic from to is at most
However, since projecting a curve outside a given sphere onto the given sphere only decreases its length, a curve from to outside the ball centered at whose radius is at most must have length strictly greater than , a contradiction.
We have so far proven that when , then the reach cannot be realized in . One must then have and there are at least two points closest points to on .
If then by Theorem 16 one has that which is less than . Again, Corollary 22 implies that the length of a geodesic from to is a most , which, again, is impossible without entering the ball centered at with radius .
Since , the only possibility is that , i.e. , a bottleneck.
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