2. Homotopy 17
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Co-Occurrence Simplicial Complexes in Mathematics: Identifying the Holes of Knowledge Arxiv:1803.04410V1 [Physics.Soc-Ph] 11 M
Co-occurrence simplicial complexes in mathematics: identifying the holes of knowledge Vsevolod Salnikov∗, NaXys, Universit´ede Namur, 5000 Namur, Belgium ∗Corresponding author: [email protected] Daniele Cassese NaXys, Universit´ede Namur, 5000 Namur, Belgium ICTEAM, Universit´eCatholique de Louvain, 1348 Louvain-la-Neuve, Belgium Mathematical Institute, University of Oxford, OX2 6GG Oxford, UK [email protected] Renaud Lambiotte Mathematical Institute, University of Oxford, OX2 6GG Oxford, UK [email protected] and Nick S. Jones Department of Mathematics, Imperial College, SW7 2AZ London, UK [email protected] Abstract In the last years complex networks tools contributed to provide insights on the structure of research, through the study of collaboration, citation and co-occurrence networks. The network approach focuses on pairwise relationships, often compressing multidimensional data structures and inevitably losing information. In this paper we propose for the first time a simplicial complex approach to word co-occurrences, providing a natural framework for the study of higher-order relations in the space of scientific knowledge. Using topological meth- ods we explore the conceptual landscape of mathematical research, focusing on homological holes, regions with low connectivity in the simplicial structure. We find that homological holes are ubiquitous, which suggests that they capture some essential feature of research arXiv:1803.04410v1 [physics.soc-ph] 11 Mar 2018 practice in mathematics. Holes die when a subset of their concepts appear in the same ar- ticle, hence their death may be a sign of the creation of new knowledge, as we show with some examples. We find a positive relation between the dimension of a hole and the time it takes to be closed: larger holes may represent potential for important advances in the field because they separate conceptually distant areas. -
07. Homeomorphisms and Embeddings
07. Homeomorphisms and embeddings Homeomorphisms are the isomorphisms in the category of topological spaces and continuous functions. Definition. 1) A function f :(X; τ) ! (Y; σ) is called a homeomorphism between (X; τ) and (Y; σ) if f is bijective, continuous and the inverse function f −1 :(Y; σ) ! (X; τ) is continuous. 2) (X; τ) is called homeomorphic to (Y; σ) if there is a homeomorphism f : X ! Y . Remarks. 1) Being homeomorphic is apparently an equivalence relation on the class of all topological spaces. 2) It is a fundamental task in General Topology to decide whether two spaces are homeomorphic or not. 3) Homeomorphic spaces (X; τ) and (Y; σ) cannot be distinguished with respect to their topological structure because a homeomorphism f : X ! Y not only is a bijection between the elements of X and Y but also yields a bijection between the topologies via O 7! f(O). Hence a property whose definition relies only on set theoretic notions and the concept of an open set holds if and only if it holds in each homeomorphic space. Such properties are called topological properties. For example, ”first countable" is a topological property, whereas the notion of a bounded subset in R is not a topological property. R ! − t Example. The function f : ( 1; 1) with f(t) = 1+jtj is a −1 x homeomorphism, the inverse function is f (x) = 1−|xj . 1 − ! b−a a+b The function g :( 1; 1) (a; b) with g(x) = 2 x + 2 is a homeo- morphism. Therefore all open intervals in R are homeomorphic to each other and homeomorphic to R . -
Simplicial Complexes
46 III Complexes III.1 Simplicial Complexes There are many ways to represent a topological space, one being a collection of simplices that are glued to each other in a structured manner. Such a collection can easily grow large but all its elements are simple. This is not so convenient for hand-calculations but close to ideal for computer implementations. In this book, we use simplicial complexes as the primary representation of topology. Rd k Simplices. Let u0; u1; : : : ; uk be points in . A point x = i=0 λiui is an affine combination of the ui if the λi sum to 1. The affine hull is the set of affine combinations. It is a k-plane if the k + 1 points are affinely Pindependent by which we mean that any two affine combinations, x = λiui and y = µiui, are the same iff λi = µi for all i. The k + 1 points are affinely independent iff P d P the k vectors ui − u0, for 1 ≤ i ≤ k, are linearly independent. In R we can have at most d linearly independent vectors and therefore at most d+1 affinely independent points. An affine combination x = λiui is a convex combination if all λi are non- negative. The convex hull is the set of convex combinations. A k-simplex is the P convex hull of k + 1 affinely independent points, σ = conv fu0; u1; : : : ; ukg. We sometimes say the ui span σ. Its dimension is dim σ = k. We use special names of the first few dimensions, vertex for 0-simplex, edge for 1-simplex, triangle for 2-simplex, and tetrahedron for 3-simplex; see Figure III.1. -
Operations on Metric Thickenings
Operations on Metric Thickenings Henry Adams Johnathan Bush Joshua Mirth Colorado State University Colorado, USA [email protected] Many simplicial complexes arising in practice have an associated metric space structure on the vertex set but not on the complex, e.g. the Vietoris–Rips complex in applied topology. We formalize a remedy by introducing a category of simplicial metric thickenings whose objects have a natural realization as metric spaces. The properties of this category allow us to prove that, for a large class of thickenings including Vietoris–Rips and Cechˇ thickenings, the product of metric thickenings is homotopy equivalent to the metric thickenings of product spaces, and similarly for wedge sums. 1 Introduction Applied topology studies geometric complexes such as the Vietoris–Rips and Cechˇ simplicial complexes. These are constructed out of metric spaces by combining nearby points into simplices. We observe that proofs of statements related to the topology of Vietoris–Rips and Cechˇ simplicial complexes often contain a considerable amount of overlap, even between the different conventions within each case (for example, ≤ versus <). We attempt to abstract away from the particularities of these constructions and consider instead a type of simplicial metric thickening object. Along these lines, we give a natural categorical setting for so-called simplicial metric thickenings [3]. In Sections 2 and 3, we provide motivation and briefly summarize related work. Then, in Section 4, we introduce the definition of our main objects of study: the category MetTh of simplicial metric thick- m enings and the associated metric realization functor from MetTh to the category of metric spaces. -
General Topology
General Topology Tom Leinster 2014{15 Contents A Topological spaces2 A1 Review of metric spaces.......................2 A2 The definition of topological space.................8 A3 Metrics versus topologies....................... 13 A4 Continuous maps........................... 17 A5 When are two spaces homeomorphic?................ 22 A6 Topological properties........................ 26 A7 Bases................................. 28 A8 Closure and interior......................... 31 A9 Subspaces (new spaces from old, 1)................. 35 A10 Products (new spaces from old, 2)................. 39 A11 Quotients (new spaces from old, 3)................. 43 A12 Review of ChapterA......................... 48 B Compactness 51 B1 The definition of compactness.................... 51 B2 Closed bounded intervals are compact............... 55 B3 Compactness and subspaces..................... 56 B4 Compactness and products..................... 58 B5 The compact subsets of Rn ..................... 59 B6 Compactness and quotients (and images)............. 61 B7 Compact metric spaces........................ 64 C Connectedness 68 C1 The definition of connectedness................... 68 C2 Connected subsets of the real line.................. 72 C3 Path-connectedness.......................... 76 C4 Connected-components and path-components........... 80 1 Chapter A Topological spaces A1 Review of metric spaces For the lecture of Thursday, 18 September 2014 Almost everything in this section should have been covered in Honours Analysis, with the possible exception of some of the examples. For that reason, this lecture is longer than usual. Definition A1.1 Let X be a set. A metric on X is a function d: X × X ! [0; 1) with the following three properties: • d(x; y) = 0 () x = y, for x; y 2 X; • d(x; y) + d(y; z) ≥ d(x; z) for all x; y; z 2 X (triangle inequality); • d(x; y) = d(y; x) for all x; y 2 X (symmetry). -
Metric Geometry, Non-Positive Curvature and Complexes
METRIC GEOMETRY, NON-POSITIVE CURVATURE AND COMPLEXES TOM M. W. NYE . These notes give mathematical background on CAT(0) spaces and related geometry. They have been prepared for use by students on the International PhD course in Non- linear Statistics, Copenhagen, June 2017. 1. METRIC GEOMETRY AND THE CAT(0) CONDITION Let X be a set. A metric on X is a map d : X × X ! R≥0 such that (1) d(x; y) = d(y; x) 8x; y 2 X, (2) d(x; y) = 0 , x = y, and (3) d(x; z) ≤ d(x; y) + d(y; z) 8x; y; z 2 X. On its own, a metric does not give enough structure to enable us to do useful statistics on X: for example, consider any set X equipped with the metric d(x; y) = 1 whenever x 6= y. A geodesic path between x; y 2 X is a map γ : [0; `] ⊂ R ! X such that (1) γ(0) = x, γ(`) = y, and (2) d(γ(t); γ(t0)) = jt − t0j 8t; t0 2 [0; `]. We will use the notation Γ(x; y) ⊂ X to be the image of the path γ and call this a geodesic segment (or just geodesic for short). A path γ : [0; `] ⊂ R ! X is locally geodesic if there exists > 0 such that property (2) holds whever jt − t0j < . This is a weaker condition than being a geodesic path. The set X is called a geodesic metric space if there is (at least one) geodesic path be- tween every pair of points in X. -
Topological Properties
CHAPTER 4 Topological properties 1. Connectedness • Definitions and examples • Basic properties • Connected components • Connected versus path connected, again 2. Compactness • Definition and first examples • Topological properties of compact spaces • Compactness of products, and compactness in Rn • Compactness and continuous functions • Embeddings of compact manifolds • Sequential compactness • More about the metric case 3. Local compactness and the one-point compactification • Local compactness • The one-point compactification 4. More exercises 63 64 4. TOPOLOGICAL PROPERTIES 1. Connectedness 1.1. Definitions and examples. Definition 4.1. We say that a topological space (X, T ) is connected if X cannot be written as the union of two disjoint non-empty opens U, V ⊂ X. We say that a topological space (X, T ) is path connected if for any x, y ∈ X, there exists a path γ connecting x and y, i.e. a continuous map γ : [0, 1] → X such that γ(0) = x, γ(1) = y. Given (X, T ), we say that a subset A ⊂ X is connected (or path connected) if A, together with the induced topology, is connected (path connected). As we shall soon see, path connectedness implies connectedness. This is good news since, unlike connectedness, path connectedness can be checked more directly (see the examples below). Example 4.2. (1) X = {0, 1} with the discrete topology is not connected. Indeed, U = {0}, V = {1} are disjoint non-empty opens (in X) whose union is X. (2) Similarly, X = [0, 1) ∪ [2, 3] is not connected (take U = [0, 1), V = [2, 3]). More generally, if X ⊂ R is connected, then X must be an interval. -
Combinatorial Topology
Chapter 6 Basics of Combinatorial Topology 6.1 Simplicial and Polyhedral Complexes In order to study and manipulate complex shapes it is convenient to discretize these shapes and to view them as the union of simple building blocks glued together in a “clean fashion”. The building blocks should be simple geometric objects, for example, points, lines segments, triangles, tehrahedra and more generally simplices, or even convex polytopes. We will begin by using simplices as building blocks. The material presented in this chapter consists of the most basic notions of combinatorial topology, going back roughly to the 1900-1930 period and it is covered in nearly every algebraic topology book (certainly the “classics”). A classic text (slightly old fashion especially for the notation and terminology) is Alexandrov [1], Volume 1 and another more “modern” source is Munkres [30]. An excellent treatment from the point of view of computational geometry can be found is Boissonnat and Yvinec [8], especially Chapters 7 and 10. Another fascinating book covering a lot of the basics but devoted mostly to three-dimensional topology and geometry is Thurston [41]. Recall that a simplex is just the convex hull of a finite number of affinely independent points. We also need to define faces, the boundary, and the interior of a simplex. Definition 6.1 Let be any normed affine space, say = Em with its usual Euclidean norm. Given any n+1E affinely independentpoints a ,...,aE in , the n-simplex (or simplex) 0 n E σ defined by a0,...,an is the convex hull of the points a0,...,an,thatis,thesetofallconvex combinations λ a + + λ a ,whereλ + + λ =1andλ 0foralli,0 i n. -
Homology Groups of Homeomorphic Topological Spaces
An Introduction to Homology Prerna Nadathur August 16, 2007 Abstract This paper explores the basic ideas of simplicial structures that lead to simplicial homology theory, and introduces singular homology in order to demonstrate the equivalence of homology groups of homeomorphic topological spaces. It concludes with a proof of the equivalence of simplicial and singular homology groups. Contents 1 Simplices and Simplicial Complexes 1 2 Homology Groups 2 3 Singular Homology 8 4 Chain Complexes, Exact Sequences, and Relative Homology Groups 9 ∆ 5 The Equivalence of H n and Hn 13 1 Simplices and Simplicial Complexes Definition 1.1. The n-simplex, ∆n, is the simplest geometric figure determined by a collection of n n + 1 points in Euclidean space R . Geometrically, it can be thought of as the complete graph on (n + 1) vertices, which is solid in n dimensions. Figure 1: Some simplices Extrapolating from Figure 1, we see that the 3-simplex is a tetrahedron. Note: The n-simplex is topologically equivalent to Dn, the n-ball. Definition 1.2. An n-face of a simplex is a subset of the set of vertices of the simplex with order n + 1. The faces of an n-simplex with dimension less than n are called its proper faces. 1 Two simplices are said to be properly situated if their intersection is either empty or a face of both simplices (i.e., a simplex itself). By \gluing" (identifying) simplices along entire faces, we get what are known as simplicial complexes. More formally: Definition 1.3. A simplicial complex K is a finite set of simplices satisfying the following condi- tions: 1 For all simplices A 2 K with α a face of A, we have α 2 K. -
16. Compactness
16. Compactness 1 Motivation While metrizability is the analyst's favourite topological property, compactness is surely the topologist's favourite topological property. Metric spaces have many nice properties, like being first countable, very separative, and so on, but compact spaces facilitate easy proofs. They allow you to do all the proofs you wished you could do, but never could. The definition of compactness, which we will see shortly, is quite innocuous looking. What compactness does for us is allow us to turn infinite collections of open sets into finite collections of open sets that do essentially the same thing. Compact spaces can be very large, as we will see in the next section, but in a strong sense every compact space acts like a finite space. This behaviour allows us to do a lot of hands-on, constructive proofs in compact spaces. For example, we can often take maxima and minima where in a non-compact space we would have to take suprema and infima. We will be able to intersect \all the open sets" in certain situations and end up with an open set, because finitely many open sets capture all the information in the whole collection. We will specifically prove an important result from analysis called the Heine-Borel theorem n that characterizes the compact subsets of R . This result is so fundamental to early analysis courses that it is often given as the definition of compactness in that context. 2 Basic definitions and examples Compactness is defined in terms of open covers, which we have talked about before in the context of bases but which we formally define here. -
Connected Fundamental Groups and Homotopy Contacts in Fibered Topological (C, R) Space
S S symmetry Article Connected Fundamental Groups and Homotopy Contacts in Fibered Topological (C, R) Space Susmit Bagchi Department of Aerospace and Software Engineering (Informatics), Gyeongsang National University, Jinju 660701, Korea; [email protected] Abstract: The algebraic as well as geometric topological constructions of manifold embeddings and homotopy offer interesting insights about spaces and symmetry. This paper proposes the construction of 2-quasinormed variants of locally dense p-normed 2-spheres within a non-uniformly scalable quasinormed topological (C, R) space. The fibered space is dense and the 2-spheres are equivalent to the category of 3-dimensional manifolds or three-manifolds with simply connected boundary surfaces. However, the disjoint and proper embeddings of covering three-manifolds within the convex subspaces generates separations of p-normed 2-spheres. The 2-quasinormed variants of p-normed 2-spheres are compact and path-connected varieties within the dense space. The path-connection is further extended by introducing the concept of bi-connectedness, preserving Urysohn separation of closed subspaces. The local fundamental groups are constructed from the discrete variety of path-homotopies, which are interior to the respective 2-spheres. The simple connected boundaries of p-normed 2-spheres generate finite and countable sets of homotopy contacts of the fundamental groups. Interestingly, a compact fibre can prepare a homotopy loop in the fundamental group within the fibered topological (C, R) space. It is shown that the holomorphic condition is a requirement in the topological (C, R) space to preserve a convex path-component. Citation: Bagchi, S. Connected However, the topological projections of p-normed 2-spheres on the disjoint holomorphic complex Fundamental Groups and Homotopy subspaces retain the path-connection property irrespective of the projective points on real subspace. -
Geometric Higher Groupoids and Categories
GEOMETRIC HIGHER GROUPOIDS AND CATEGORIES KAI BEHREND AND EZRA GETZLER ABSTRACT. In an enriched setting, we show that higher groupoids and higher categories form categories of fibrant objects, and that the nerve of a differential graded algebra is a higher category in the category of algebraic varieties. This paper develops a general theory of higher groupoids in a category V. We consider a small category V of spaces, together with a subcategory of covers, satisfying the following axioms: (D1) V has finite limits; (D2) the pullback of a cover is a cover; (D3) if f is a cover and gf is a cover, then g is a cover. These axioms are reminiscent of those for a category of smooth morphisms P of Toen and Vezzosi ([24], Assumption 1.3.2.11). A topos satisfies these axioms, with epimorphisms as covers; so do the category of schemes, with surjective étale morphisms, smooth epimorphisms, or faithfully flat morphisms as covers, and the category of Banach analytic spaces, with surjective submersions as covers. We call a category satisfying these axioms a descent category. We call a simplicial object in a descent category a simplicial space. A finite simplicial set is a simplicial set with a finite number of degenerate simplices. Given a simplicial space X and a finite simplicial set T , let Hom(T, X) be the space of simplicial morphisms from T to X; it is a finite limit in V, and its existence is guaranteed by (D1). n n Let Λi ⊂ ∆ be the horn, consisting of the union of all but the ith face of the n-simplex: n n Λi = ∂j∆ .