→Cn−1(X,A; G) Becomes the Map ∂ ⊗ 11 : Cn(X, A)⊗G→Cn−1(X, A)⊗G Where ∂ : Cn(X, A)→Cn−1(X, A) Is the Usual Boundary Map for Z Coefficients
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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]. - 
												
												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. - 
												
												MATH 8306: ALGEBRAIC TOPOLOGY PROBLEM SET 2, DUE WEDNESDAY, NOVEMBER 17, 2004 Section 2.2 (From Hatcher's Textbook): 1, 2 (Omi
MATH 8306: ALGEBRAIC TOPOLOGY PROBLEM SET 2, DUE WEDNESDAY, NOVEMBER 17, 2004 SASHA VORONOV Section 2.2 (from Hatcher’s textbook): 1, 2 (omit the question about odd dimen- sional projective spaces) Problem 1. Apply the method of acyclic models to show that the barycentric subdivision operator is homotopic to identity. Reminder: we used that method to prove that singular homology satisfies the homotopy axiom. It consisted in constructing a natural chain homotopy inductively for all spaces at once by using the acyclicity of the singular simplex, i.e., the vanishing of its higher homology. You may read more about this method in Selick’s text, pp. 35–37. Problem 2. Compute the simplicial homology of the Klein bottle. Problem 3. Prove the boundary formula for cellular 1-chains: CW 1 d (eα) = [1α] − [−1α], 1 where eα is a 1-cell of a CW complex and [1α] and [−1α] are its endpoints, identified with 0-cells of the CW complex via the attaching maps. Problem 4. Using cell decompositions of Sn and Dn, compute their cellular ho- mology groups. Problem 5. Calculate the integral homology groups of the sphere Mg with g handles (i.e., a compact orientable surface of genus g) using a cell decomposition of it. Problem 6. Give a simple proof that uses homology theory for the following fact: Rm is not homeomorphic to Rn for m 6= n. f g Problem 7. Let 0 → π −→ ρ −→ σ → 0 be an exact sequence of abelian groups and C a chain complex of flat (i.e., torsion free) abelian groups. - 
												
												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. - 
												
												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. - 
												
												Notes on Spectral Sequence
Notes on spectral sequence He Wang Long exact sequence coming from short exact sequence of (co)chain com- plex in (co)homology is a fundamental tool for computing (co)homology. Instead of considering short exact sequence coming from pair (X; A), one can consider filtered chain complexes coming from a increasing of subspaces X0 ⊂ X1 ⊂ · · · ⊂ X. We can see it as many pairs (Xp; Xp+1): There is a natural generalization of a long exact sequence, called spectral sequence, which is more complicated and powerful algebraic tool in computation in the (co)homology of the chain complex. Nothing is original in this notes. Contents 1 Homological Algebra 1 1.1 Definition of spectral sequence . 1 1.2 Construction of spectral sequence . 6 2 Spectral sequence in Topology 12 2.1 General method . 12 2.2 Leray-Serre spectral sequence . 15 2.3 Application of Leray-Serre spectral sequence . 18 1 Homological Algebra 1.1 Definition of spectral sequence Definition 1.1. A differential bigraded module over a ring R, is a collec- tion of R-modules, fEp;qg, where p, q 2 Z, together with a R-linear mapping, 1 H.Wang Notes on spectral Sequence 2 d : E∗;∗ ! E∗+s;∗+t, satisfying d◦d = 0: d is called the differential of bidegree (s; t). Definition 1.2. A spectral sequence is a collection of differential bigraded p;q R-modules fEr ; drg, where r = 1; 2; ··· and p;q ∼ p;q ∗;∗ ∼ p;q ∗;∗ ∗;∗ p;q Er+1 = H (Er ) = ker(dr : Er ! Er )=im(dr : Er ! Er ): In practice, we have the differential dr of bidegree (r; 1 − r) (for a spec- tral sequence of cohomology type) or (−r; r − 1) (for a spectral sequence of homology type). - 
												
												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. - 
												
												Math 99R - Representations and Cohomology of Groups
Math 99r - Representations and Cohomology of Groups Taught by Meng Geuo Notes by Dongryul Kim Spring 2017 This course was taught by Meng Guo, a graduate student. The lectures were given at TF 4:30-6 in Science Center 232. There were no textbooks, and there were 7 undergraduates enrolled in our section. The grading was solely based on the final presentation, with no course assistants. Contents 1 February 1, 2017 3 1.1 Chain complexes . .3 1.2 Projective resolution . .4 2 February 8, 2017 6 2.1 Left derived functors . .6 2.2 Injective resolutions and right derived functors . .8 3 February 14, 2017 10 3.1 Long exact sequence . 10 4 February 17, 2017 13 4.1 Ext as extensions . 13 4.2 Low-dimensional group cohomology . 14 5 February 21, 2017 15 5.1 Computing the first cohomology and homology . 15 6 February 24, 2017 17 6.1 Bar resolution . 17 6.2 Computing cohomology using the bar resolution . 18 7 February 28, 2017 19 7.1 Computing the second cohomology . 19 1 Last Update: August 27, 2018 8 March 3, 2017 21 8.1 Group action on a CW-complex . 21 9 March 7, 2017 22 9.1 Induction and restriction . 22 10 March 21, 2017 24 10.1 Double coset formula . 24 10.2 Transfer maps . 25 11 March 24, 2017 27 11.1 Another way of defining transfer maps . 27 12 March 28, 2017 29 12.1 Spectral sequence from a filtration . 29 13 March 31, 2017 31 13.1 Spectral sequence from an exact couple . - 
												
												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. - 
												
												Lecture Notes in Mathematics 1081
Lecture Notes in Mathematics 1081 Editors: J.-M. Morel, Cachan F. Takens, Groningen B. Teissier, Paris David J. Benson Modular Representation Theory New Trends and Methods Second printing Sprin ger Author David J. Benson Department of Mathematical Sciences University of Aberdeen Meston Building King's College Aberdeen AB24 SUE Scotland UK Modular Representation Theory Library of Congress Cataloging in Publication Data. Benson, David, 1955-. Modular representation theory. (Lecture notes in mathematics; 1081) Bibliography: p. Includes index. 1. Modular representations of groups. 2. Rings (Algebra) I. Title. II. Series: Lecture notes in mathematics (Springer-Verlag); 1081. QA3.L28 no. 1081 [QA171] 510s [512'.2] 84-20207 ISBN 0-387-13389-5 (U.S.) Mathematics Subject Classification (1980): 20C20 Second printing 2006 ISSN 0075-8434 ISBN-10 3-540-13389-5 Springer-Verlag Berlin Heidelberg New York ISBN-13 978-3-540-13389-6 Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science-i-Business Media springer.com © Springer-Verlag Berlin Heidelberg 1984 Printed in Germany The use of general descriptive names, registered names, trademarks, etc. - 
												
												CONSTRUCTING DE RHAM-WITT COMPLEXES on a BUDGET (DRAFT VERSION) Contents 1. Introduction 3 1.1. the De Rham-Witt Complex 3 1.2
CONSTRUCTING DE RHAM-WITT COMPLEXES ON A BUDGET (DRAFT VERSION) BHARGAV BHATT, JACOB LURIE, AND AKHIL MATHEW Contents 1. Introduction 3 1.1. The de Rham-Witt complex 3 1.2. Overview 4 1.3. Notations 6 1.4. Acknowledgments 6 2. Dieudonn´eComplexes 7 2.1. The Category KD 7 2.2. Saturated Dieudonn´eComplexes 7 2.3. Saturation of Dieudonn´eComplexes 9 2.4. The Cartier Criterion 10 2.5. Quotients of Saturated Dieudonn´eComplexes 12 2.6. The Completion of a Saturated Dieudonn´eComplex 13 2.7. Strict Dieudonn´eComplexes 17 2.8. Comparison of M ∗ and W(M)∗ 19 2.9. Examples 20 3. Dieudonn´eAlgebras 22 3.1. Definitions 22 3.2. Example: de Rham Complexes 23 3.3. The Cartier Isomorphism 27 3.4. Saturation of Dieudonn´eAlgebras 29 3.5. Completions of Dieudonn´eAlgebras 30 3.6. Comparison with Witt Vectors 32 4. The de Rham-Witt Complex 36 4.1. Construction 36 4.2. Comparison with a Smooth Lift 37 4.3. Comparison with the de Rham Complex 39 4.4. Comparison with Illusie 40 5. Globalization 46 5.1. Localizations of Dieudonn´eAlgebras 46 5.2. The de Rham-Witt Complex of an Fp-Scheme 49 5.3. Etale´ localization 51 1 2 BHARGAV BHATT, JACOB LURIE, AND AKHIL MATHEW 6. The Nygaard filtration 57 6.1. Constructing the Nygaard filtration 57 6.2. The Nygaard filtration and Lηp via filtered derived categories 60 7. Relation to seminormality 62 7.1. The example of a cusp 62 7.2. Realizing the seminormalization via the de Rham-Witt complex 65 8.