Category Theory: a Gentle Introduction
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Chapter 4. Homomorphisms and Isomorphisms of Groups
Chapter 4. Homomorphisms and Isomorphisms of Groups 4.1 Note: We recall the following terminology. Let X and Y be sets. When we say that f is a function or a map from X to Y , written f : X ! Y , we mean that for every x 2 X there exists a unique corresponding element y = f(x) 2 Y . The set X is called the domain of f and the range or image of f is the set Image(f) = f(X) = f(x) x 2 X . For a set A ⊆ X, the image of A under f is the set f(A) = f(a) a 2 A and for a set −1 B ⊆ Y , the inverse image of B under f is the set f (B) = x 2 X f(x) 2 B . For a function f : X ! Y , we say f is one-to-one (written 1 : 1) or injective when for every y 2 Y there exists at most one x 2 X such that y = f(x), we say f is onto or surjective when for every y 2 Y there exists at least one x 2 X such that y = f(x), and we say f is invertible or bijective when f is 1:1 and onto, that is for every y 2 Y there exists a unique x 2 X such that y = f(x). When f is invertible, the inverse of f is the function f −1 : Y ! X defined by f −1(y) = x () y = f(x). For f : X ! Y and g : Y ! Z, the composite g ◦ f : X ! Z is given by (g ◦ f)(x) = g(f(x)). -
Group Homomorphisms
1-17-2018 Group Homomorphisms Here are the operation tables for two groups of order 4: · 1 a a2 + 0 1 2 1 1 a a2 0 0 1 2 a a a2 1 1 1 2 0 a2 a2 1 a 2 2 0 1 There is an obvious sense in which these two groups are “the same”: You can get the second table from the first by replacing 0 with 1, 1 with a, and 2 with a2. When are two groups the same? You might think of saying that two groups are the same if you can get one group’s table from the other by substitution, as above. However, there are problems with this. In the first place, it might be very difficult to check — imagine having to write down a multiplication table for a group of order 256! In the second place, it’s not clear what a “multiplication table” is if a group is infinite. One way to implement a substitution is to use a function. In a sense, a function is a thing which “substitutes” its output for its input. I’ll define what it means for two groups to be “the same” by using certain kinds of functions between groups. These functions are called group homomorphisms; a special kind of homomorphism, called an isomorphism, will be used to define “sameness” for groups. Definition. Let G and H be groups. A homomorphism from G to H is a function f : G → H such that f(x · y)= f(x) · f(y) forall x,y ∈ G. -
Causal Commutative Arrows Revisited
Causal Commutative Arrows Revisited Jeremy Yallop Hai Liu University of Cambridge, UK Intel Labs, USA [email protected] [email protected] Abstract init which construct terms of an overloaded type arr. Most of the Causal commutative arrows (CCA) extend arrows with additional code listings in this paper uses these combinators, which are more constructs and laws that make them suitable for modelling domains convenient for defining instances, in place of the notation; we refer such as functional reactive programming, differential equations and the reader to Paterson (2001) for the details of the desugaring. synchronous dataflow. Earlier work has revealed that a syntactic Unfortunately, speed does not always follow succinctness. Al- transformation of CCA computations into normal form can result in though arrows in poetry are a byword for swiftness, arrows in pro- significant performance improvements, sometimes increasing the grams can introduce significant overhead. Continuing with the ex- speed of programs by orders of magnitude. In this work we refor- ample above, in order to run exp, we must instantiate the abstract mulate the normalization as a type class instance and derive op- arrow with a concrete implementation, such as the causal stream timized observation functions via a specialization to stream trans- transformer SF (Liu et al. 2009) that forms the basis of signal func- formers to demonstrate that the same dramatic improvements can tions in the Yampa domain-specific language for functional reactive be achieved without leaving the language. programming (Hudak et al. 2003): newtype SF a b = SF {unSF :: a → (b, SF a b)} Categories and Subject Descriptors D.1.1 [Programming tech- niques]: Applicative (Functional) Programming (The accompanying instances for SF , which define the arrow operators, appear on page 6.) Keywords arrows, stream transformers, optimization, equational Instantiating exp with SF brings an unpleasant surprise: the reasoning, type classes program runs orders of magnitude slower than an equivalent pro- gram that does not use arrows. -
EXERCISES on LIMITS & COLIMITS Exercise 1. Prove That Pullbacks Of
EXERCISES ON LIMITS & COLIMITS PETER J. HAINE Exercise 1. Prove that pullbacks of epimorphisms in Set are epimorphisms and pushouts of monomorphisms in Set are monomorphisms. Note that these statements cannot be deduced from each other using duality. Now conclude that the same statements hold in Top. Exercise 2. Let 푋 be a set and 퐴, 퐵 ⊂ 푋. Prove that the square 퐴 ∩ 퐵 퐴 퐵 퐴 ∪ 퐵 is both a pullback and pushout in Set. Exercise 3. Let 푅 be a commutative ring. Prove that every 푅-module can be written as a filtered colimit of its finitely generated submodules. Exercise 4. Let 푋 be a set. Give a categorical definition of a topology on 푋 as a subposet of the power set of 푋 (regarded as a poset under inclusion) that is stable under certain categorical constructions. Exercise 5. Let 푋 be a space. Give a categorical description of what it means for a set of open subsets of 푋 to form a basis for the topology on 푋. Exercise 6. Let 퐶 be a category. Prove that if the identity functor id퐶 ∶ 퐶 → 퐶 has a limit, then lim퐶 id퐶 is an initial object of 퐶. Definition. Let 퐶 be a category and 푋 ∈ 퐶. If the coproduct 푋 ⊔ 푋 exists, the codiagonal or fold morphism is the morphism 훻푋 ∶ 푋 ⊔ 푋 → 푋 induced by the identities on 푋 via the universal property of the coproduct. If the product 푋 × 푋 exists, the diagonal morphism 훥푋 ∶ 푋 → 푋 × 푋 is defined dually. Exercise 7. In Set, show that the diagonal 훥푋 ∶ 푋 → 푋 × 푋 is given by 훥푋(푥) = (푥, 푥) for all 푥 ∈ 푋, so 훥푋 embeds 푋 as the diagonal in 푋 × 푋, hence the name. -
Category Theory
Michael Paluch Category Theory April 29, 2014 Preface These note are based in part on the the book [2] by Saunders Mac Lane and on the book [3] by Saunders Mac Lane and Ieke Moerdijk. v Contents 1 Foundations ....................................................... 1 1.1 Extensionality and comprehension . .1 1.2 Zermelo Frankel set theory . .3 1.3 Universes.....................................................5 1.4 Classes and Gödel-Bernays . .5 1.5 Categories....................................................6 1.6 Functors .....................................................7 1.7 Natural Transformations. .8 1.8 Basic terminology . 10 2 Constructions on Categories ....................................... 11 2.1 Contravariance and Opposites . 11 2.2 Products of Categories . 13 2.3 Functor Categories . 15 2.4 The category of all categories . 16 2.5 Comma categories . 17 3 Universals and Limits .............................................. 19 3.1 Universal Morphisms. 19 3.2 Products, Coproducts, Limits and Colimits . 20 3.3 YonedaLemma ............................................... 24 3.4 Free cocompletion . 28 4 Adjoints ........................................................... 31 4.1 Adjoint functors and universal morphisms . 31 4.2 Freyd’s adjoint functor theorem . 38 5 Topos Theory ...................................................... 43 5.1 Subobject classifier . 43 5.2 Sieves........................................................ 45 5.3 Exponentials . 47 vii viii Contents Index .................................................................. 53 Acronyms List of categories. Ab The category of small abelian groups and group homomorphisms. AlgA The category of commutative A-algebras. Cb The category Func(Cop,Sets). Cat The category of small categories and functors. CRings The category of commutative ring with an identity and ring homomor- phisms which preserve identities. Grp The category of small groups and group homomorphisms. Sets Category of small set and functions. Sets Category of small pointed set and pointed functions. -
Quasi-Categories Vs Simplicial Categories
Quasi-categories vs Simplicial categories Andr´eJoyal January 07 2007 Abstract We show that the coherent nerve functor from simplicial categories to simplicial sets is the right adjoint in a Quillen equivalence between the model category for simplicial categories and the model category for quasi-categories. Introduction A quasi-category is a simplicial set which satisfies a set of conditions introduced by Boardman and Vogt in their work on homotopy invariant algebraic structures [BV]. A quasi-category is often called a weak Kan complex in the literature. The category of simplicial sets S admits a Quillen model structure in which the cofibrations are the monomorphisms and the fibrant objects are the quasi- categories [J2]. We call it the model structure for quasi-categories. The resulting model category is Quillen equivalent to the model category for complete Segal spaces and also to the model category for Segal categories [JT2]. The goal of this paper is to show that it is also Quillen equivalent to the model category for simplicial categories via the coherent nerve functor of Cordier. We recall that a simplicial category is a category enriched over the category of simplicial sets S. To every simplicial category X we can associate a category X0 enriched over the homotopy category of simplicial sets Ho(S). A simplicial functor f : X → Y is called a Dwyer-Kan equivalence if the functor f 0 : X0 → Y 0 is an equivalence of Ho(S)-categories. It was proved by Bergner, that the category of (small) simplicial categories SCat admits a Quillen model structure in which the weak equivalences are the Dwyer-Kan equivalences [B1]. -
An Introduction to Operad Theory
AN INTRODUCTION TO OPERAD THEORY SAIMA SAMCHUCK-SCHNARCH Abstract. We give an introduction to category theory and operad theory aimed at the undergraduate level. We first explore operads in the category of sets, and then generalize to other familiar categories. Finally, we develop tools to construct operads via generators and relations, and provide several examples of operads in various categories. Throughout, we highlight the ways in which operads can be seen to encode the properties of algebraic structures across different categories. Contents 1. Introduction1 2. Preliminary Definitions2 2.1. Algebraic Structures2 2.2. Category Theory4 3. Operads in the Category of Sets 12 3.1. Basic Definitions 13 3.2. Tree Diagram Visualizations 14 3.3. Morphisms and Algebras over Operads of Sets 17 4. General Operads 22 4.1. Basic Definitions 22 4.2. Morphisms and Algebras over General Operads 27 5. Operads via Generators and Relations 33 5.1. Quotient Operads and Free Operads 33 5.2. More Examples of Operads 38 5.3. Coloured Operads 43 References 44 1. Introduction Sets equipped with operations are ubiquitous in mathematics, and many familiar operati- ons share key properties. For instance, the addition of real numbers, composition of functions, and concatenation of strings are all associative operations with an identity element. In other words, all three are examples of monoids. Rather than working with particular examples of sets and operations directly, it is often more convenient to abstract out their common pro- perties and work with algebraic structures instead. For instance, one can prove that in any monoid, arbitrarily long products x1x2 ··· xn have an unambiguous value, and thus brackets 2010 Mathematics Subject Classification. -
The Petit Topos of Globular Sets
Journal of Pure and Applied Algebra 154 (2000) 299–315 www.elsevier.com/locate/jpaa View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector The petit topos of globular sets Ross Street ∗ Macquarie University, N. S. W. 2109, Australia Communicated by M. Tierney Dedicated to Bill Lawvere Abstract There are now several deÿnitions of weak !-category [1,2,5,19]. What is pleasing is that they are not achieved by ad hoc combinatorics. In particular, the theory of higher operads which underlies Michael Batanin’s deÿnition is based on globular sets. The purpose of this paper is to show that many of the concepts of [2] (also see [17]) arise in the natural development of category theory internal to the petit 1 topos Glob of globular sets. For example, higher spans turn out to be internal sets, and, in a sense, trees turn out to be internal natural numbers. c 2000 Elsevier Science B.V. All rights reserved. MSC: 18D05 1. Globular objects and !-categories A globular set is an inÿnite-dimensional graph. To formalize this, let G denote the category whose objects are natural numbers and whose only non-identity arrows are m;m : m → n for all m¡n ∗ Tel.: +61-2-9850-8921; fax: 61-2-9850-8114. E-mail address: [email protected] (R. Street). 1 The distinction between toposes that are “space like” (or petit) and those which are “category-of-space like” (or gros) was investigated by Lawvere [9,10]. The gros topos of re exive globular sets has been studied extensively by Michael Roy [12]. -
Geometric Modality and Weak Exponentials
Geometric Modality and Weak Exponentials Amirhossein Akbar Tabatabai ∗ Institute of Mathematics Academy of Sciences of the Czech Republic [email protected] Abstract The intuitionistic implication and hence the notion of function space in constructive disciplines is both non-geometric and impred- icative. In this paper we try to solve both of these problems by first introducing weak exponential objects as a formalization for predica- tive function spaces and then by proposing modal spaces as a way to introduce a natural family of geometric predicative implications based on the interplay between the concepts of time and space. This combination then leads to a brand new family of modal propositional logics with predicative implications and then to topological semantics for these logics and some weak modal and sub-intuitionistic logics, as well. Finally, we will lift these notions and the corresponding relations to a higher and more structured level of modal topoi and modal type theory. 1 Introduction Intuitionistic logic appears in different many branches of mathematics with arXiv:1711.01736v1 [math.LO] 6 Nov 2017 many different and interesting incarnations. In geometrical world it plays the role of the language of a topological space via topological semantics and in a higher and more structured level, it becomes the internal logic of any elementary topoi. On the other hand and in the theory of computations, the intuitionistic logic shows its computational aspects as a method to describe the behavior of computations using realizability interpretations and in cate- gory theory it becomes the syntax of the very central class of Cartesian closed categories. -
A Small Complete Category
Annals of Pure and Applied Logic 40 (1988) 135-165 135 North-Holland A SMALL COMPLETE CATEGORY J.M.E. HYLAND Department of Pure Mathematics and Mathematical Statktics, 16 Mill Lane, Cambridge CB2 ISB, England Communicated by D. van Dalen Received 14 October 1987 0. Introduction This paper is concerned with a remarkable fact. The effective topos contains a small complete subcategory, essentially the familiar category of partial equiv- alence realtions. This is in contrast to the category of sets (indeed to all Grothendieck toposes) where any small complete category is equivalent to a (complete) poset. Note at once that the phrase ‘a small complete subcategory of a topos’ is misleading. It is not the subcategory but the internal (small) category which matters. Indeed for any ordinary subcategory of a topos there may be a number of internal categories with global sections equivalent to the given subcategory. The appropriate notion of subcategory is an indexed (or better fibred) one, see 0.1. Another point that needs attention is the definition of completeness (see 0.2). In my talk at the Church’s Thesis meeting, and in the first draft of this paper, I claimed too strong a form of completeness for the internal category. (The elementary oversight is described in 2.7.) Fortunately during the writing of [13] my collaborators Edmund Robinson and Giuseppe Rosolini noticed the mistake. Again one needs to pay careful attention to the ideas of indexed (or fibred) categories. The idea that small (sufficiently) complete categories in toposes might exist, and would provide the right setting in which to discuss models for strong polymorphism (quantification over types), was suggested to me by Eugenio Moggi. -
On the Constructive Elementary Theory of the Category of Sets
On the Constructive Elementary Theory of the Category of Sets Aruchchunan Surendran Ludwig-Maximilians-University Supervision: Dr. I. Petrakis August 14, 2019 1 Contents 1 Introduction 2 2 Elements of basic Category Theory 3 2.1 The category Set ................................3 2.2 Basic definitions . .4 2.3 Basic properties of Set .............................6 2.3.1 Epis and monos . .6 2.3.2 Elements as arrows . .8 2.3.3 Binary relations as monic arrows . .9 2.3.4 Coequalizers as quotient sets . 10 2.4 Membership of elements . 12 2.5 Partial and total arrows . 14 2.6 Cartesian closed categories (CCC) . 16 2.6.1 Products of objects . 16 2.6.2 Application: λ-Calculus . 18 2.6.3 Exponentials . 21 3 Constructive Elementary Theory of the Category of Sets (CETCS) 26 3.1 Constructivism . 26 3.2 Axioms of ETCS . 27 3.3 Axioms of CETCS . 28 3.4 Π-Axiom . 29 3.5 Set-theoretic consequences . 32 3.5.1 Quotient Sets . 32 3.5.2 Induction . 34 3.5.3 Constructing new relations with logical operations . 35 3.6 Correspondence to standard categorical formulations . 42 1 1 Introduction The Elementary Theory of the Category of Sets (ETCS) was first introduced by William Lawvere in [4] in 1964 to give an axiomatization of sets. The goal of this thesis is to describe the Constructive Elementary Theory of the Category of Sets (CETCS), following its presentation by Erik Palmgren in [2]. In chapter 2. we discuss basic elements of Category Theory. Category Theory was first formulated in the year 1945 by Eilenberg and Mac Lane in their paper \General theory of natural equivalences" and is the study of generalized functions, called arrows, in an abstract algebra. -
Binary Integer Programming and Its Use for Envelope Determination
Binary Integer Programming and its Use for Envelope Determination By Vladimir Y. Lunin1,2, Alexandre Urzhumtsev3,† & Alexander Bockmayr2 1 Institute of Mathematical Problems of Biology, Russian Academy of Sciences, Pushchino, Moscow Region, 140292 Russia 2 LORIA, UMR 7503, Faculté des Sciences, Université Henri Poincaré, Nancy I, 54506 Vandoeuvre-les-Nancy, France; [email protected] 3 LCM3B, UMR 7036 CNRS, Faculté des Sciences, Université Henri Poincaré, Nancy I, 54506 Vandoeuvre-les-Nancy, France; [email protected] † to whom correspondence must be sent Abstract The density values are linked to the observed magnitudes and unknown phases by a system of non-linear equations. When the object of search is a binary envelope rather than a continuous function of the electron density distribution, these equations can be replaced by a system of linear inequalities with respect to binary unknowns and powerful tools of integer linear programming may be applied to solve the phase problem. This novel approach was tested with calculated and experimental data for a known protein structure. 1. Introduction Binary Integer Programming (BIP in what follows) is an approach to solve a system of linear inequalities in binary unknowns (0 or 1 in what follows). Integer programming has been studied in mathematics, computer science, and operations research for more than 40 years (see for example Johnson et al., 2000 and Bockmayr & Kasper, 1998, for a review). It has been successfully applied to solve a huge number of large-scale combinatorial problems. The general form of an integer linear programming problem is max { cTx | Ax ≤ b, x ∈ Zn } (1.1) with a real matrix A of a dimension m by n, and vectors c ∈ Rn, b ∈ Rm, cTx being the scalar product of the vectors c and x.