The Serre Spectral Sequence
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The Leray-Serre Spectral Sequence
THE LERAY-SERRE SPECTRAL SEQUENCE REUBEN STERN Abstract. Spectral sequences are a powerful bookkeeping tool, used to handle large amounts of information. As such, they have become nearly ubiquitous in algebraic topology and algebraic geometry. In this paper, we take a few results on faith (i.e., without proof, pointing to books in which proof may be found) in order to streamline and simplify the exposition. From the exact couple formulation of spectral sequences, we ∗ n introduce a special case of the Leray-Serre spectral sequence and use it to compute H (CP ; Z). Contents 1. Spectral Sequences 1 2. Fibrations and the Leray-Serre Spectral Sequence 4 3. The Gysin Sequence and the Cohomology Ring H∗(CPn; R) 6 References 8 1. Spectral Sequences The modus operandi of algebraic topology is that \algebra is easy; topology is hard." By associating to n a space X an algebraic invariant (the (co)homology groups Hn(X) or H (X), and the homotopy groups πn(X)), with which it is more straightforward to prove theorems and explore structure. For certain com- putations, often involving (co)homology, it is perhaps difficult to determine an invariant directly; one may side-step this computation by approximating it to increasing degrees of accuracy. This approximation is bundled into an object (or a series of objects) known as a spectral sequence. Although spectral sequences often appear formidable to the uninitiated, they provide an invaluable tool to the working topologist, and show their faces throughout algebraic geometry and beyond. ∗;∗ ∗;∗ Loosely speaking, a spectral sequence fEr ; drg is a collection of bigraded modules or vector spaces Er , equipped with a differential map dr (i.e., dr ◦ dr = 0), such that ∗;∗ ∗;∗ Er+1 = H(Er ; dr): That is, a bigraded module in the sequence comes from the previous one by taking homology. -
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]. -
Spectral Sequences: Friend Or Foe?
SPECTRAL SEQUENCES: FRIEND OR FOE? RAVI VAKIL Spectral sequences are a powerful book-keeping tool for proving things involving com- plicated commutative diagrams. They were introduced by Leray in the 1940's at the same time as he introduced sheaves. They have a reputation for being abstruse and difficult. It has been suggested that the name `spectral' was given because, like spectres, spectral sequences are terrifying, evil, and dangerous. I have heard no one disagree with this interpretation, which is perhaps not surprising since I just made it up. Nonetheless, the goal of this note is to tell you enough that you can use spectral se- quences without hesitation or fear, and why you shouldn't be frightened when they come up in a seminar. What is different in this presentation is that we will use spectral sequence to prove things that you may have already seen, and that you can prove easily in other ways. This will allow you to get some hands-on experience for how to use them. We will also see them only in a “special case” of double complexes (which is the version by far the most often used in algebraic geometry), and not in the general form usually presented (filtered complexes, exact couples, etc.). See chapter 5 of Weibel's marvelous book for more detailed information if you wish. If you want to become comfortable with spectral sequences, you must try the exercises. For concreteness, we work in the category vector spaces over a given field. However, everything we say will apply in any abelian category, such as the category ModA of A- modules. -
Some Extremely Brief Notes on the Leray Spectral Sequence Greg Friedman
Some extremely brief notes on the Leray spectral sequence Greg Friedman Intro. As a motivating example, consider the long exact homology sequence. We know that if we have a short exact sequence of chain complexes 0 ! C∗ ! D∗ ! E∗ ! 0; then this gives rise to a long exact sequence of homology groups @∗ ! Hi(C∗) ! Hi(D∗) ! Hi(E∗) ! Hi−1(C∗) ! : While we may learn the proof of this, including the definition of the boundary map @∗ in beginning algebraic topology and while this may be useful to know from time to time, we are often happy just to know that there is an exact homology sequence. Also, in many cases the long exact sequence might not be very useful because the interactions from one group to the next might be fairly complicated. However, in especially nice circumstances, we will have reason to know that certain homology groups vanish, or we might be able to compute some of the maps here or there, and then we can derive some consequences. For example, if ∼ we have reason to know that H∗(D∗) = 0, then we learn that H∗(E∗) = H∗−1(C∗). Similarly, to preserve sanity, it is usually worth treating spectral sequences as \black boxes" without looking much under the hood. While the exact details do sometimes come in handy to specialists, spectral sequences can be remarkably useful even without knowing much about how they work. What spectral sequences look like. In long exact sequence above, we have homology groups Hi(C∗) (of course there are other ways to get exact sequences). -
Derived Categories. Winter 2008/09
Derived categories. Winter 2008/09 Igor V. Dolgachev May 5, 2009 ii Contents 1 Derived categories 1 1.1 Abelian categories .......................... 1 1.2 Derived categories .......................... 9 1.3 Derived functors ........................... 24 1.4 Spectral sequences .......................... 38 1.5 Exercises ............................... 44 2 Derived McKay correspondence 47 2.1 Derived category of coherent sheaves ................ 47 2.2 Fourier-Mukai Transform ...................... 59 2.3 Equivariant derived categories .................... 75 2.4 The Bridgeland-King-Reid Theorem ................ 86 2.5 Exercises ............................... 100 3 Reconstruction Theorems 105 3.1 Bondal-Orlov Theorem ........................ 105 3.2 Spherical objects ........................... 113 3.3 Semi-orthogonal decomposition ................... 121 3.4 Tilting objects ............................ 128 3.5 Exercises ............................... 131 iii iv CONTENTS Lecture 1 Derived categories 1.1 Abelian categories We assume that the reader is familiar with the concepts of categories and func- tors. We will assume that all categories are small, i.e. the class of objects Ob(C) in a category C is a set. A small category can be defined by two sets Mor(C) and Ob(C) together with two maps s, t : Mor(C) → Ob(C) defined by the source and the target of a morphism. There is a section e : Ob(C) → Mor(C) for both maps defined by the identity morphism. We identify Ob(C) with its image under e. The composition of morphisms is a map c : Mor(C) ×s,t Mor(C) → Mor(C). There are obvious properties of the maps (s, t, e, c) expressing the axioms of associativity and the identity of a category. For any A, B ∈ Ob(C) we denote −1 −1 by MorC(A, B) the subset s (A) ∩ t (B) and we denote by idA the element e(A) ∈ MorC(A, A). -
Perverse Sheaves
Perverse Sheaves Bhargav Bhatt Fall 2015 1 September 8, 2015 The goal of this class is to introduce perverse sheaves, and how to work with it; plus some applications. Background For more background, see Kleiman's paper entitled \The development/history of intersection homology theory". On manifolds, the idea is that you can intersect cycles via Poincar´eduality|we want to be able to do this on singular spces, not just manifolds. Deligne figured out how to compute intersection homology via sheaf cohomology, and does not use anything about cycles|only pullbacks and truncations of complexes of sheaves. In any derived category you can do this|even in characteristic p. The basic summary is that we define an abelian subcategory that lives inside the derived category of constructible sheaves, which we call the category of perverse sheaves. We want to get to what is called the decomposition theorem. Outline of Course 1. Derived categories, t-structures 2. Six Functors 3. Perverse sheaves—definition, some properties 4. Statement of decomposition theorem|\yoga of weights" 5. Application 1: Beilinson, et al., \there are enough perverse sheaves", they generate the derived category of constructible sheaves 6. Application 2: Radon transforms. Use to understand monodromy of hyperplane sections. 7. Some geometric ideas to prove the decomposition theorem. If you want to understand everything in the course you need a lot of background. We will assume Hartshorne- level algebraic geometry. We also need constructible sheaves|look at Sheaves in Topology. Problem sets will be given, but not collected; will be on the webpage. There are more references than BBD; they will be online. -
The Grothendieck Spectral Sequence (Minicourse on Spectral Sequences, UT Austin, May 2017)
The Grothendieck Spectral Sequence (Minicourse on Spectral Sequences, UT Austin, May 2017) Richard Hughes May 12, 2017 1 Preliminaries on derived functors. 1.1 A computational definition of right derived functors. We begin by recalling that a functor between abelian categories F : A!B is called left exact if it takes short exact sequences (SES) in A 0 ! A ! B ! C ! 0 to exact sequences 0 ! FA ! FB ! FC in B. If in fact F takes SES in A to SES in B, we say that F is exact. Question. Can we measure the \failure of exactness" of a left exact functor? The answer to such an obviously leading question is, of course, yes: the right derived functors RpF , which we will define below, are in a precise sense the unique extension of F to an exact functor. Recall that an object I 2 A is called injective if the functor op HomA(−;I): A ! Ab is exact. An injective resolution of A 2 A is a quasi-isomorphism in Ch(A) A ! I• = (I0 ! I1 ! I2 !··· ) where all of the Ii are injective, and where we think of A as a complex concentrated in degree zero. If every A 2 A embeds into some injective object, we say that A has enough injectives { in this situation it is a theorem that every object admits an injective resolution. So, for A 2 A choose an injective resolution A ! I• and define the pth right derived functor of F applied to A by RpF (A) := Hp(F (I•)): Remark • You might worry about whether or not this depends upon our choice of injective resolution for A { it does not, up to canonical isomorphism. -
HE WANG Abstract. a Mini-Course on Rational Homotopy Theory
RATIONAL HOMOTOPY THEORY HE WANG Abstract. A mini-course on rational homotopy theory. Contents 1. Introduction 2 2. Elementary homotopy theory 3 3. Spectral sequences 8 4. Postnikov towers and rational homotopy theory 16 5. Commutative differential graded algebras 21 6. Minimal models 25 7. Fundamental groups 34 References 36 2010 Mathematics Subject Classification. Primary 55P62 . 1 2 HE WANG 1. Introduction One of the goals of topology is to classify the topological spaces up to some equiva- lence relations, e.g., homeomorphic equivalence and homotopy equivalence (for algebraic topology). In algebraic topology, most of the time we will restrict to spaces which are homotopy equivalent to CW complexes. We have learned several algebraic invariants such as fundamental groups, homology groups, cohomology groups and cohomology rings. Using these algebraic invariants, we can seperate two non-homotopy equivalent spaces. Another powerful algebraic invariants are the higher homotopy groups. Whitehead the- orem shows that the functor of homotopy theory are power enough to determine when two CW complex are homotopy equivalent. A rational coefficient version of the homotopy theory has its own techniques and advan- tages: 1. fruitful algebraic structures. 2. easy to calculate. RATIONAL HOMOTOPY THEORY 3 2. Elementary homotopy theory 2.1. Higher homotopy groups. Let X be a connected CW-complex with a base point x0. Recall that the fundamental group π1(X; x0) = [(I;@I); (X; x0)] is the set of homotopy classes of maps from pair (I;@I) to (X; x0) with the product defined by composition of paths. Similarly, for each n ≥ 2, the higher homotopy group n n πn(X; x0) = [(I ;@I ); (X; x0)] n n is the set of homotopy classes of maps from pair (I ;@I ) to (X; x0) with the product defined by composition. -
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). -
Picard Groupoids and $\Gamma $-Categories
PICARD GROUPOIDS AND Γ-CATEGORIES AMIT SHARMA Abstract. In this paper we construct a symmetric monoidal closed model category of coherently commutative Picard groupoids. We construct another model category structure on the category of (small) permutative categories whose fibrant objects are (permutative) Picard groupoids. The main result is that the Segal’s nerve functor induces a Quillen equivalence between the two aforementioned model categories. Our main result implies the classical result that Picard groupoids model stable homotopy one-types. Contents 1. Introduction 2 2. The Setup 4 2.1. Review of Permutative categories 4 2.2. Review of Γ- categories 6 2.3. The model category structure of groupoids on Cat 7 3. Two model category structures on Perm 12 3.1. ThemodelcategorystructureofPermutativegroupoids 12 3.2. ThemodelcategoryofPicardgroupoids 15 4. The model category of coherently commutatve monoidal groupoids 20 4.1. The model category of coherently commutative monoidal groupoids 24 5. Coherently commutative Picard groupoids 27 6. The Quillen equivalences 30 7. Stable homotopy one-types 36 Appendix A. Some constructions on categories 40 AppendixB. Monoidalmodelcategories 42 Appendix C. Localization in model categories 43 Appendix D. Tranfer model structure on locally presentable categories 46 References 47 arXiv:2002.05811v2 [math.CT] 12 Mar 2020 Date: Dec. 14, 2019. 1 2 A. SHARMA 1. Introduction Picard groupoids are interesting objects both in topology and algebra. A major reason for interest in topology is because they classify stable homotopy 1-types which is a classical result appearing in various parts of the literature [JO12][Pat12][GK11]. The category of Picard groupoids is the archetype exam- ple of a 2-Abelian category, see [Dup08]. -
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.