Lectures on Topology
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Products in Homology and Cohomology Via Acyclic Models
EILENBERG-ZILBER VIA ACYCLIC MODELS, AND PRODUCTS IN HOMOLOGY AND COHOMOLOGY CHRIS KOTTKE 1. The Eilenberg-Zilber Theorem 1.1. Tensor products of chain complexes. Let C∗ and D∗ be chain complexes. We define the tensor product complex by taking the chain space M M C∗ ⊗ D∗ = (C∗ ⊗ D∗)n ; (C∗ ⊗ D∗)n = Cp ⊗ Dq n2Z p+q=n with differential defined on generators by p @⊗(a ⊗ b) := @a ⊗ b + (−1) a ⊗ @b; a 2 Cp; b 2 Dq (1) and extended to all of C∗ ⊗ D∗ by bilinearity. Note that the sign convention (or 2 something similar to it) is required in order for @⊗ ≡ 0 to hold, i.e. in order for C∗ ⊗ D∗ to be a complex. Recall that if X and Y are CW-complexes, then X × Y has a natural CW- complex structure, with cells given by the products of cells on X and cells on Y: As an exercise in cellular homology computations, you may wish to verify for yourself that CW CW ∼ CW C∗ (X) ⊗ C∗ (Y ) = C∗ (X × Y ): This involves checking that the cellular boundary map satisfies an equation like (1) on products a × b of cellular chains. We would like something similar for general spaces, using singular chains. Of course, the product ∆p × ∆q of simplices is not a p + q simplex, though it can be subdivided into such simplices. There are two ways to do this: one way is direct, involving the combinatorics of so-called \shuffle maps," and is somewhat tedious. The other method goes by the name of \acyclic models" and is a very slick (though nonconstructive) way of producing chain maps between C∗(X) ⊗ C∗(Y ) 1 and C∗(X × Y ); and is the method we shall follow, following [Bre97]. -
An Introduction to Topology the Classification Theorem for Surfaces by E
An Introduction to Topology An Introduction to Topology The Classification theorem for Surfaces By E. C. Zeeman Introduction. The classification theorem is a beautiful example of geometric topology. Although it was discovered in the last century*, yet it manages to convey the spirit of present day research. The proof that we give here is elementary, and its is hoped more intuitive than that found in most textbooks, but in none the less rigorous. It is designed for readers who have never done any topology before. It is the sort of mathematics that could be taught in schools both to foster geometric intuition, and to counteract the present day alarming tendency to drop geometry. It is profound, and yet preserves a sense of fun. In Appendix 1 we explain how a deeper result can be proved if one has available the more sophisticated tools of analytic topology and algebraic topology. Examples. Before starting the theorem let us look at a few examples of surfaces. In any branch of mathematics it is always a good thing to start with examples, because they are the source of our intuition. All the following pictures are of surfaces in 3-dimensions. In example 1 by the word “sphere” we mean just the surface of the sphere, and not the inside. In fact in all the examples we mean just the surface and not the solid inside. 1. Sphere. 2. Torus (or inner tube). 3. Knotted torus. 4. Sphere with knotted torus bored through it. * Zeeman wrote this article in the mid-twentieth century. 1 An Introduction to Topology 5. -
Homology of Cellular Structures Allowing Multi-Incidence Sylvie Alayrangues, Guillaume Damiand, Pascal Lienhardt, Samuel Peltier
Homology of Cellular Structures Allowing Multi-incidence Sylvie Alayrangues, Guillaume Damiand, Pascal Lienhardt, Samuel Peltier To cite this version: Sylvie Alayrangues, Guillaume Damiand, Pascal Lienhardt, Samuel Peltier. Homology of Cellular Structures Allowing Multi-incidence. Discrete and Computational Geometry, Springer Verlag, 2015, 54 (1), pp.42-77. 10.1007/s00454-015-9662-5. hal-01189215 HAL Id: hal-01189215 https://hal.archives-ouvertes.fr/hal-01189215 Submitted on 15 Dec 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Homology of Cellular Structures allowing Multi-Incidence S. Alayrangues · G. Damiand · P. Lienhardt · S. Peltier Abstract This paper focuses on homology computation over "cellular" structures whose cells are not necessarily homeomorphic to balls and which allow multi- incidence between cells. We deal here with combinatorial maps, more precisely chains of maps and subclasses as generalized maps and maps. Homology computa- tion on such structures is usually achieved by computing simplicial homology on a simplicial analog. But such an approach is computationally expensive as it requires to compute this simplicial analog and to perform the homology computation on a structure containing many more cells (simplices) than the initial one. -
0.1 Euler Characteristic
0.1 Euler Characteristic Definition 0.1.1. Let X be a finite CW complex of dimension n and denote by ci the number of i-cells of X. The Euler characteristic of X is defined as: n X i χ(X) = (−1) · ci: (0.1.1) i=0 It is natural to question whether or not the Euler characteristic depends on the cell structure chosen for the space X. As we will see below, this is not the case. For this, it suffices to show that the Euler characteristic depends only on the cellular homology of the space X. Indeed, cellular homology is isomorphic to singular homology, and the latter is independent of the cell structure on X. Recall that if G is a finitely generated abelian group, then G decomposes into a free part and a torsion part, i.e., r G ' Z × Zn1 × · · · Znk : The integer r := rk(G) is the rank of G. The rank is additive in short exact sequences of finitely generated abelian groups. Theorem 0.1.2. The Euler characteristic can be computed as: n X i χ(X) = (−1) · bi(X) (0.1.2) i=0 with bi(X) := rk Hi(X) the i-th Betti number of X. In particular, χ(X) is independent of the chosen cell structure on X. Proof. We use the following notation: Bi = Image(di+1), Zi = ker(di), and Hi = Zi=Bi. Consider a (finite) chain complex of finitely generated abelian groups and the short exact sequences defining homology: dn+1 dn d2 d1 d0 0 / Cn / ::: / C1 / C0 / 0 ι di 0 / Zi / Ci / / Bi−1 / 0 di+1 q 0 / Bi / Zi / Hi / 0 The additivity of rank yields that ci := rk(Ci) = rk(Zi) + rk(Bi−1) and rk(Zi) = rk(Bi) + rk(Hi): Substitute the second equality into the first, multiply the resulting equality by (−1)i, and Pn i sum over i to get that χ(X) = i=0(−1) · rk(Hi). -
1 CW Complex, Cellular Homology/Cohomology
Our goal is to develop a method to compute cohomology algebra and rational homotopy group of fiber bundles. 1 CW complex, cellular homology/cohomology Definition 1. (Attaching space with maps) Given topological spaces X; Y , closed subset A ⊂ X, and continuous map f : A ! y. We define X [f Y , X t Y / ∼ n n n−1 n where x ∼ y if x 2 A and f(x) = y. In the case X = D , A = @D = S , D [f X is said to be obtained by attaching to X the cell (Dn; f). n−1 n n Proposition 1. If f; g : S ! X are homotopic, then D [f X and D [g X are homotopic. Proof. Let F : Sn−1 × I ! X be the homotopy between f; g. Then in fact n n n D [f X ∼ (D × I) [F X ∼ D [g X Definition 2. (Cell space, cell complex, cellular map) 1. A cell space is a topological space obtained from a finite set of points by iterating the procedure of attaching cells of arbitrary dimension, with the condition that only finitely many cells of each dimension are attached. 2. If each cell is attached to cells of lower dimension, then the cell space X is called a cell complex. Define the n−skeleton of X to be the subcomplex consisting of cells of dimension less than n, denoted by Xn. 3. A continuous map f between cell complexes X; Y is called cellular if it sends Xk to Yk for all k. Proposition 2. 1. Every cell space is homotopic to a cell complex. -
Recognizing Surfaces
RECOGNIZING SURFACES Ivo Nikolov and Alexandru I. Suciu Mathematics Department College of Arts and Sciences Northeastern University Abstract The subject of this poster is the interplay between the topology and the combinatorics of surfaces. The main problem of Topology is to classify spaces up to continuous deformations, known as homeomorphisms. Under certain conditions, topological invariants that capture qualitative and quantitative properties of spaces lead to the enumeration of homeomorphism types. Surfaces are some of the simplest, yet most interesting topological objects. The poster focuses on the main topological invariants of two-dimensional manifolds—orientability, number of boundary components, genus, and Euler characteristic—and how these invariants solve the classification problem for compact surfaces. The poster introduces a Java applet that was written in Fall, 1998 as a class project for a Topology I course. It implements an algorithm that determines the homeomorphism type of a closed surface from a combinatorial description as a polygon with edges identified in pairs. The input for the applet is a string of integers, encoding the edge identifications. The output of the applet consists of three topological invariants that completely classify the resulting surface. Topology of Surfaces Topology is the abstraction of certain geometrical ideas, such as continuity and closeness. Roughly speaking, topol- ogy is the exploration of manifolds, and of the properties that remain invariant under continuous, invertible transforma- tions, known as homeomorphisms. The basic problem is to classify manifolds according to homeomorphism type. In higher dimensions, this is an impossible task, but, in low di- mensions, it can be done. Surfaces are some of the simplest, yet most interesting topological objects. -
The Real Projective Spaces in Homotopy Type Theory
The real projective spaces in homotopy type theory Ulrik Buchholtz Egbert Rijke Technische Universität Darmstadt Carnegie Mellon University Email: [email protected] Email: [email protected] Abstract—Homotopy type theory is a version of Martin- topology and homotopy theory developed in homotopy Löf type theory taking advantage of its homotopical models. type theory (homotopy groups, including the fundamen- In particular, we can use and construct objects of homotopy tal group of the circle, the Hopf fibration, the Freuden- theory and reason about them using higher inductive types. In this article, we construct the real projective spaces, key thal suspension theorem and the van Kampen theorem, players in homotopy theory, as certain higher inductive types for example). Here we give an elementary construction in homotopy type theory. The classical definition of RPn, in homotopy type theory of the real projective spaces as the quotient space identifying antipodal points of the RPn and we develop some of their basic properties. n-sphere, does not translate directly to homotopy type theory. R n In classical homotopy theory the real projective space Instead, we define P by induction on n simultaneously n with its tautological bundle of 2-element sets. As the base RP is either defined as the space of lines through the + case, we take RP−1 to be the empty type. In the inductive origin in Rn 1 or as the quotient by the antipodal action step, we take RPn+1 to be the mapping cone of the projection of the 2-element group on the sphere Sn [4]. -
Algebraic Topology 565 2016
Algebraic Topology 565 2016 February 21, 2016 The general format of the course is as in Fall quarter. We'll use Hatcher Chapters 3-4, and we'll start using selected part of Milnor's Characteristic classes. One global notation change: From now on we fix a principal ideal domain R, and let H∗X denote H∗(X; R). This change extends in the obvious way to other notations: C∗X means RS·X (singular chains with coefficients in R), tensor products and Tor are over R, cellular homology is with coefficients in R, and so on. Course outline Note: Applications and exercises are still to appear. Some parts of the outline below won't make sense yet, but still serve to give the general idea. 1. Homology of products. There are two steps to compute the homology of a product ∼ X × Y : (i) The Eilenberg-Zilber theorem that gives a chain equivalence C∗X ⊗ C∗Y = C∗(X × Y ), and (ii) the purely algebraic Kunneth theorem that expresses the homology of a tensor product of chain complexes in terms of tensor products and Tor's of the homology of the individual complexes. I plan to only state part (ii) and leave the proof to the text. On the other hand, I'll take a very different approach to (i), not found in Hatcher: the method of acyclic models. This more categorical approach is very slick and yields easy proofs of some technical theorems that are crucial for the cup product in cohomology later. There are explicit formulas for certain choices of the above chain equivalence and its inverse; in particular there is a very simple and handy formula for an inverse, known as the Alexander- Whitney map. -
0.1 Cellular Homology
0.1 Cellular Homology Let us start with the following preliminary result: Lemma 0.1.1. If X is a CW complex, then: ( 0 if k 6= n (a) Hk(Xn;Xn−1) = Z # n-cells if k = n: (b) Hk(Xn) = 0 if k > n. In particular, if X is finite dimensional, then Hk(X) = 0 if k > dim(X). (c) The inclusion i : Xn ,! X induces an isomorphism Hk(Xn) ! Hk(X) if k < n. n Proof. (a) We know that Xn is obtained from Xn−1 by attaching the n-cells (eλ)λ. Pick a n point xλ at the center of each n-cell eλ. Let A := Xn − fxλgλ. Then A deformation retracts to Xn−1, so we have that ∼ Hk(Xn;Xn−1) = Hk(Xn;A): n n By excising Xn−1, the latter group is isomorphic to ⊕λHk(Dλ;Dλ − fxλg). Moreover, the n n homology long exact sequence of the pair (Dλ;Dλ − fxλg) yields that ( n n ∼ n−1 ∼ Z if k = n Hk(D ;D − fxλg) = Hek−1(S ) = λ λ λ 0 if k 6= n So the claim follows. (b) Consider the following portion of the long exact sequence of the pair for (Xn;Xn−1): ! Hk+1(Xn;Xn−1) ! Hk(Xn−1) ! Hk(Xn) ! Hk(Xn;Xn−1) ! If k +1 6= n and k 6= n, we have from part (a) that Hk+1(Xn;Xn−1) = 0 and Hk(Xn;Xn−1) = ∼ 0. Thus Hk(Xn−1) = Hk(Xn). Hence if k > n (so in particular, n 6= k + 1 and n 6= k), we get by iteration that ∼ ∼ ∼ Hk(Xn) = Hk(Xn−1) = ··· = Hk(X0): Note that X0 is just a collection of points, so Hk(X0) = 0. -
The Seifert-Van Kampen Theorem, and the Classification of Surfaces
1 SMSTC Geometry and Topology 2012{2013 Lecture 9 The Seifert { van Kampen Theorem The classification of surfaces Andrew Ranicki (Edinburgh) Drawings by Carmen Rovi (Edinburgh) 6th December, 2012 2 Introduction I Topology and groups are closely related via the fundamental group construction π1 : fspacesg ! fgroupsg ; X 7! π1(X ) : I The Seifert - van Kampen Theorem expresses the fundamental group of a union X = X1 [Y X2 of path-connected spaces in terms of the fundamental groups of X1; X2; Y . I The Theorem is used to compute the fundamental group of a space built up using spaces whose fundamental groups are known already. I The Theorem is used to prove that every group G is the fundamental group G = π1(X ) of a space X , and to compute the fundamental groups of surfaces. I Treatment of Seifert-van Kampen will follow Section I.1.2 of Hatcher's Algebraic Topology, but not slavishly so. 3 Three ways of computing the fundamental group I. By geometry I For an infinite space X there are far too many loops 1 ! : S ! X in order to compute π1(X ) from the definition. I A space X is simply-connected if X is path connected and the fundamental group is trivial π1(X ) = feg : I Sometimes it is possible to prove that X is simply-connected by geometry. I Example: If X is contractible then X is simply-connected. n I Example: If X = S and n > 2 then X is simply-connected. I Example: Suppose that (X ; d) is a metric space such that for any x; y 2 X there is unique geodesic (= shortest path) αx;y : I ! X from αx;y (0) = x to αx;y (1) = y. -
Homological Algebra
Chapter 29 Homological algebra 29.1 Homology of a chain complex A chain complex C∗ is a sequence of abelian groups and homomor- phisms / / / / C∗ : ··· Cn+1 Cn Cn−1 ··· ∂n+1 ∂n where (i) the elements of Cn are called n-chains, and / (ii) the homomorphisms ∂n : Cn Cn−1 are called boundary homo- morphisms. These are required to satisfy the condition ∂n+1 ◦ ∂n =0 for each integer n. We shall only consider those with Cn =0for n<0. Consequently, ∂n =0for n ≤ 0. The n-cycles are those elements in Cn whose boundaries are zero: / Zn(C):=ker(∂n : Cn Cn−1). In particular, Z0 = C0 On the other hand, the n-boundaries are those elements of Cn which are images of elements of Cn+1 under the boundary homomorphism ∂n+1: 1002 Homological algebra / Bn(C):=Im(∂n+1 : Cn+1 Cn). From the condition ∂n+1 ◦ ∂n =0,wehaveIm ∂n+1 ⊆ ker ∂n for each integer n. The homology of the chain complex C measures its deviation from exactness: for each integer n, Hn(C∗):=Zn(C)/Bn(C)=ker∂n/Im ∂n+1. In particular, Hn(C)=0for n<0. Theorem 29.1. Every short exact sequence of chain complexes gives rise to a long exact sequence in homology: if 0 /C /C /C /0 f g is an exact sequence of chain complexes, then the sequence / / / / / / ··· Hn+1(C ) Hn(C) Hn(C ) Hn(C ) Hn−1(C) ··· dn+1 f∗ g∗ dn is exact. Proposition 29.2. A commutative diagram 0 /C /C /C /0 0 /E /E /E /0 of short exact sequences of chain complexes induces a commutative diagram of exact homology sequences / / / / / / ··· Hn+1(C ) Hn(C) Hn(C ) Hn(C ) Hn−1(C) ··· / / / / / / ··· Hn+1(E ) Hn(E) Hn(E ) Hn(E ) Hn−1(E) ··· 29.2 Cohomology of a chain complex 1003 29.2 Cohomology of a chain complex A cochain complex C∗ is a sequence of abelian groups and homomor- phisms n−1 n C∗ : ··· /Cn−1 δ /Cn δ /Cn+1 /··· where (i) the elements of Cn are called n-cochains, and (ii) the homomorphisms δn : Cn /Cn+1 are called coboundary homo- morphisms. -
Embedding the Petersen Graph on the Cross Cap
Embedding the Petersen Graph on the Cross Cap Julius Plenz Martin Zänker April 8, 2014 Introduction In this project we will introduce the Petersen graph and highlight some of its interesting properties, explain the construction of the cross cap and proceed to show how to embed the Petersen graph onto the suface of the cross cap without any edge intersection – an embedding that is not possible to achieve in the plane. 3 Since the self-intersection of the cross cap in R is very hard to grasp in a planar setting, we will subsequently create an animation using the 3D modeling software Maya that visualizes the important aspects of this construction. In particular, this visualization makes possible to develop an intuition of the object at hand. 1 Theoretical Preliminaries We will first explore the construction of the Petersen graph and the cross cap, highlighting interesting properties. We will then proceed to motivate the embedding of the Petersen graph on the surface of the cross cap. 1.1 The Petersen Graph The Petersen graph is an important example from graph theory that has proven to be useful in particular as a counterexample. It is most easily described as the special case of the Kneser graph: Definition 1 (Kneser graph). The Kneser graph of n, k (denoted KGn;k) consists of the k-element subsets of f1; : : : ;ng as vertices, where an edge connects two vertices if and only if the two sets corre- sponding to the vertices are disjoint. n−k n−k The graph KGn;k is k -regular, i.