Part III - Category Theory
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BIPRODUCTS WITHOUT POINTEDNESS 1. Introduction
BIPRODUCTS WITHOUT POINTEDNESS MARTTI KARVONEN Abstract. We show how to define biproducts up to isomorphism in an ar- bitrary category without assuming any enrichment. The resulting notion co- incides with the usual definitions whenever all binary biproducts exist or the category is suitably enriched, resulting in a modest yet strict generalization otherwise. We also characterize when a category has all binary biproducts in terms of an ambidextrous adjunction. Finally, we give some new examples of biproducts that our definition recognizes. 1. Introduction Given two objects A and B living in some category C, their biproduct { according to a standard definition [4] { consists of an object A ⊕ B together with maps p i A A A ⊕ B B B iA pB such that pAiA = idA pBiB = idB pBiA = 0A;B pAiB = 0B;A and idA⊕B = iApA + iBpB. For us to be able to make sense of the equations, we must assume that C is enriched in commutative monoids. One can get a slightly more general definition that only requires zero morphisms but no addition { that is, enrichment in pointed sets { by replacing the last equation with the condition that (A ⊕ B; pA; pB) is a product of A and B and that (A ⊕ B; iA; iB) is their coproduct. We will call biproducts in the first sense additive biproducts and in the second sense pointed biproducts in order to contrast these definitions with our central object of study { a pointless generalization of biproducts that can be applied in any category C, with no assumptions concerning enrichment. This is achieved by replacing the equations referring to zero with the single equation (1.1) iApAiBpB = iBpBiApA, which states that the two canonical idempotents on A ⊕ B commute with one another. -
The Factorization Problem and the Smash Biproduct of Algebras and Coalgebras
Algebras and Representation Theory 3: 19–42, 2000. 19 © 2000 Kluwer Academic Publishers. Printed in the Netherlands. The Factorization Problem and the Smash Biproduct of Algebras and Coalgebras S. CAENEPEEL1, BOGDAN ION2, G. MILITARU3;? and SHENGLIN ZHU4;?? 1University of Brussels, VUB, Faculty of Applied Sciences, Pleinlaan 2, B-1050 Brussels, Belgium 2Department of Mathematics, Princeton University, Fine Hall, Washington Road, Princeton, NJ 08544-1000, U.S.A. 3University of Bucharest, Faculty of Mathematics, Str. Academiei 14, RO-70109 Bucharest 1, Romania 4Institute of Mathematics, Fudan University, Shanghai 200433, China (Received: July 1998) Presented by A. Verschoren Abstract. We consider the factorization problem for bialgebras. Let L and H be algebras and coalgebras (but not necessarily bialgebras) and consider two maps R: H ⊗ L ! L ⊗ H and W: L ⊗ H ! H ⊗ L. We introduce a product K D L W FG R H and we give necessary and sufficient conditions for K to be a bialgebra. Our construction generalizes products introduced by Majid and Radford. Also, some of the pointed Hopf algebras that were recently constructed by Beattie, Dascˇ alescuˇ and Grünenfelder appear as special cases. Mathematics Subject Classification (2000): 16W30. Key words: Hopf algebra, smash product, factorization structure. Introduction The factorization problem for a ‘structure’ (group, algebra, coalgebra, bialgebra) can be roughly stated as follows: under which conditions can an object X be written as a product of two subobjects A and B which have minimal intersection (for example A \ B Df1Xg in the group case). A related problem is that of the construction of a new object (let us denote it by AB) out of the objects A and B.In the constructions of this type existing in the literature ([13, 20, 27]), the object AB factorizes into A and B. -
Notes and Solutions to Exercises for Mac Lane's Categories for The
Stefan Dawydiak Version 0.3 July 2, 2020 Notes and Exercises from Categories for the Working Mathematician Contents 0 Preface 2 1 Categories, Functors, and Natural Transformations 2 1.1 Functors . .2 1.2 Natural Transformations . .4 1.3 Monics, Epis, and Zeros . .5 2 Constructions on Categories 6 2.1 Products of Categories . .6 2.2 Functor categories . .6 2.2.1 The Interchange Law . .8 2.3 The Category of All Categories . .8 2.4 Comma Categories . 11 2.5 Graphs and Free Categories . 12 2.6 Quotient Categories . 13 3 Universals and Limits 13 3.1 Universal Arrows . 13 3.2 The Yoneda Lemma . 14 3.2.1 Proof of the Yoneda Lemma . 14 3.3 Coproducts and Colimits . 16 3.4 Products and Limits . 18 3.4.1 The p-adic integers . 20 3.5 Categories with Finite Products . 21 3.6 Groups in Categories . 22 4 Adjoints 23 4.1 Adjunctions . 23 4.2 Examples of Adjoints . 24 4.3 Reflective Subcategories . 28 4.4 Equivalence of Categories . 30 4.5 Adjoints for Preorders . 32 4.5.1 Examples of Galois Connections . 32 4.6 Cartesian Closed Categories . 33 5 Limits 33 5.1 Creation of Limits . 33 5.2 Limits by Products and Equalizers . 34 5.3 Preservation of Limits . 35 5.4 Adjoints on Limits . 35 5.5 Freyd's adjoint functor theorem . 36 1 6 Chapter 6 38 7 Chapter 7 38 8 Abelian Categories 38 8.1 Additive Categories . 38 8.2 Abelian Categories . 38 8.3 Diagram Lemmas . 39 9 Special Limits 41 9.1 Interchange of Limits . -
A Subtle Introduction to Category Theory
A Subtle Introduction to Category Theory W. J. Zeng Department of Computer Science, Oxford University \Static concepts proved to be very effective intellectual tranquilizers." L. L. Whyte \Our study has revealed Mathematics as an array of forms, codify- ing ideas extracted from human activates and scientific problems and deployed in a network of formal rules, formal definitions, formal axiom systems, explicit theorems with their careful proof and the manifold in- terconnections of these forms...[This view] might be called formal func- tionalism." Saunders Mac Lane Let's dive right in then, shall we? What can we say about the array of forms MacLane speaks of? Claim (Tentative). Category theory is about the formal aspects of this array of forms. Commentary: It might be tempting to put the brakes on right away and first grab hold of what we mean by formal aspects. Instead, rather than trying to present \the formal" as the object of study and category theory as our instrument, we would nudge the reader to consider another perspective. Category theory itself defines formal aspects in much the same way that physics defines physical concepts or laws define legal (and correspondingly illegal) aspects: it embodies them. When we speak of what is formal/physical/legal we inescapably speak of category/physical/legal theory, and vice versa. Thus we pass to the somewhat grammatically awkward revision of our initial claim: Claim (Tentative). Category theory is the formal aspects of this array of forms. Commentary: Let's unpack this a little bit. While individual forms are themselves tautologically formal, arrays of forms and everything else networked in a system lose this tautological formality. -
Category Theory
CMPT 481/731 Functional Programming Fall 2008 Category Theory Category theory is a generalization of set theory. By having only a limited number of carefully chosen requirements in the definition of a category, we are able to produce a general algebraic structure with a large number of useful properties, yet permit the theory to apply to many different specific mathematical systems. Using concepts from category theory in the design of a programming language leads to some powerful and general programming constructs. While it is possible to use the resulting constructs without knowing anything about category theory, understanding the underlying theory helps. Category Theory F. Warren Burton 1 CMPT 481/731 Functional Programming Fall 2008 Definition of a Category A category is: 1. a collection of ; 2. a collection of ; 3. operations assigning to each arrow (a) an object called the domain of , and (b) an object called the codomain of often expressed by ; 4. an associative composition operator assigning to each pair of arrows, and , such that ,a composite arrow ; and 5. for each object , an identity arrow, satisfying the law that for any arrow , . Category Theory F. Warren Burton 2 CMPT 481/731 Functional Programming Fall 2008 In diagrams, we will usually express and (that is ) by The associative requirement for the composition operators means that when and are both defined, then . This allow us to think of arrows defined by paths throught diagrams. Category Theory F. Warren Burton 3 CMPT 481/731 Functional Programming Fall 2008 I will sometimes write for flip , since is less confusing than Category Theory F. -
Arxiv:1005.0156V3
FOUR PROBLEMS REGARDING REPRESENTABLE FUNCTORS G. MILITARU C Abstract. Let R, S be two rings, C an R-coring and RM the category of left C- C C comodules. The category Rep (RM, SM) of all representable functors RM→ S M is C shown to be equivalent to the opposite of the category RMS . For U an (S, R)-bimodule C we give necessary and sufficient conditions for the induction functor U ⊗R − : RM→ SM to be: a representable functor, an equivalence of categories, a separable or a Frobenius functor. The latter results generalize and unify the classical theorems of Morita for categories of modules over rings and the more recent theorems obtained by Brezinski, Caenepeel et al. for categories of comodules over corings. Introduction Let C be a category and V a variety of algebras in the sense of universal algebras. A functor F : C →V is called representable [1] if γ ◦ F : C → Set is representable in the classical sense, where γ : V → Set is the forgetful functor. Four general problems concerning representable functors have been identified: Problem A: Describe the category Rep (C, V) of all representable functors F : C→V. Problem B: Give a necessary and sufficient condition for a given functor F : C→V to be representable (possibly predefining the object of representability). Problem C: When is a composition of two representable functors a representable functor? Problem D: Give a necessary and sufficient condition for a representable functor F : C → V and for its left adjoint to be separable or Frobenius. The pioneer of studying problem A was Kan [10] who described all representable functors from semigroups to semigroups. -
Arxiv:1908.01212V3 [Math.CT] 3 Nov 2020 Step, One Needs to Apply a For-Loop to Divide a Matrix Into Blocks
Typing Tensor Calculus in 2-Categories Fatimah Ahmadi Department of Computer Science University of Oxford November 4, 2020 Abstract We introduce semiadditive 2-categories, 2-categories with binary 2- biproducts and a zero object, as a suitable framework for typing tensor calculus. Tensors are the generalization of matrices, whose components have more than two indices. 1 Introduction Linear algebra is the primary mathematical toolbox for quantum physicists. Categorical quantum mechanics re-evaluates this toolbox by expressing each tool in the categorical language and leveraging the power of graphical calculus accompanying monoidal categories to gain an alternative insight into quantum features. In the categorical description of quantum mechanics, everything is typed in FHilb; the category whose objects are finite dimensional Hilbert spaces and morphisms are linear maps/matrices. In this category, Hilbert spaces associated with physical systems are typed as objects, and processes between systems as morphisms. MacLane [7] proposed the idea of typing matrices as morphisms while intro- ducing semiadditive categories(categories with well-behaved additions between objects). This line of research, further, has been explored by Macedo and Oliveira in the pursuit of avoiding the cumbersome indexed-based operations of matrices [6]. They address the quest for shifting the traditional perspective of formal methods in software development[10]. To observe why index-level operations do not offer an optimal approach, take the divide-and-conquer algorithm to multiplicate two matrices. In each arXiv:1908.01212v3 [math.CT] 3 Nov 2020 step, one needs to apply a for-loop to divide a matrix into blocks. While the division happens automatically if one takes matrices whose sources or targets are biproducts of objects. -
UNIVERSITY of CALIFORNIA RIVERSIDE the Grothendieck
UNIVERSITY OF CALIFORNIA RIVERSIDE The Grothendieck Construction in Categorical Network Theory A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Mathematics by Joseph Patrick Moeller December 2020 Dissertation Committee: Dr. John C. Baez, Chairperson Dr. Wee Liang Gan Dr. Carl Mautner Copyright by Joseph Patrick Moeller 2020 The Dissertation of Joseph Patrick Moeller is approved: Committee Chairperson University of California, Riverside Acknowledgments First of all, I owe all of my achievements to my wife, Paola. I couldn't have gotten here without my parents: Daniel, Andrea, Tonie, Maria, and Luis, or my siblings: Danielle, Anthony, Samantha, David, and Luis. I would like to thank my advisor, John Baez, for his support, dedication, and his unique and brilliant style of advising. I could not have become the researcher I am under another's instruction. I would also like to thank Christina Vasilakopoulou, whose kindness, energy, and expertise cultivated a deeper appreciation of category theory in me. My expe- rience was also greatly enriched by my academic siblings: Daniel Cicala, Kenny Courser, Brandon Coya, Jason Erbele, Jade Master, Franciscus Rebro, and Christian Williams, and by my cohort: Justin Davis, Ethan Kowalenko, Derek Lowenberg, Michel Manrique, and Michael Pierce. I would like to thank the UCR math department. Professors from whom I learned a ton of algebra, topology, and category theory include Julie Bergner, Vyjayanthi Chari, Wee-Liang Gan, Jos´eGonzalez, Jacob Greenstein, Carl Mautner, Reinhard Schultz, and Steffano Vidussi. Special thanks goes to the department chair Yat-Sun Poon, as well as Margarita Roman, Randy Morgan, and James Marberry, and many others who keep the whole thing together. -
Monads and Algebras - an Introduction
Monads and Algebras - An Introduction Uday S. Reddy April 27, 1995 1 1 Algebras of monads Consider a simple form of algebra, say, a set with a binary operation. Such an algebra is a pair hX, ∗ : X × X → Xi. Morphisms of these algebras preserve the binary operation: f(x ∗ y) = f(x) ∗ f(y). We first notice that the domain of the operation is determined by a functor F : Set → Set (the diagonal functor FX = X ×X). In general, given an endofunctor F : C → C on a category C, we can speak of the “algebras” for F , which are pairs hX, α : FX → Xi of an object X of C and an arrow α : FX → X. Morphism preserve the respective operations, i.e., F f FX - FY α β ? f ? X - Y Now, in algebra, it is commonplace to talk about “derived operators.” Such an operator is determined by a term made up of variables (over X) and the operations of the algebra. For example, for the simple algebra with a binary operation, terms such as x, x ∗ (y ∗ z), and (x ∗ y) ∗ (z ∗ w) determine derived operators. From a categorical point of view, such derived operators are just compositions of the standard operators and identity arrows: id X X- X id ×α α X × (X × X) X - X × X - X α×α α (X × X) × (X × X) - X × X - X To formalize such derived operators, we think of another functor T : C → C into which we can embed the domains of all the derived operators. In particular, we should have embeddings I →. -
An Aop Approach to Typed Linear Algebra
An AoP approach to typed linear algebra J.N. Oliveira (joint work with Hugo Macedo) Dept. Inform´atica, Universidade do Minho Braga, Portugal IFIP WG2.1 meeting #65 27th January 2010 Braga, Portugal Motivation Matrices = arrows Abelian category Abide laws Divide & conquer Vectorization References Context and Motivation • The advent of on-chip parallelism poses many challenges to current programming languages. • Traditional approaches (compiler + hand-coded optimization are giving place to trendy DSL-based generative techniques. • In areas such as scientific computing, image/video processing, the bulk of the work performed by so-called kernel functions. • Examples of kernels are matrix-matrix multiplication (MMM), the discrete Fourier transform (DFT), etc. • Kernel optimization is becoming very difficult due to the complexity of current computing platforms. Motivation Matrices = arrows Abelian category Abide laws Divide & conquer Vectorization References Teaching computers to write fast numerical code In the Spiral Group (CMU), a DSL has been defined (OL) (Franchetti et al., 2009) to specify kernels in a data-independent way. • Divide-and-conquer algorithms are described as OL breakdown rules. • By recursively applying these rules a space of algorithms for a desired kernel can be generated. Rationale behind Spiral: • Target imperative code is too late for numeric processing kernel optimization. • Such optimization can be elegantly and efficiently performed well above in the design chain once the maths themselves are expressed in an index-free style. Motivation Matrices = arrows Abelian category Abide laws Divide & conquer Vectorization References Starting point Synergy: • Parallel between the pointfree notation of OL and relational algebra (relations are Boolean matrices) • Rich calculus of algebraic rules. -
Introduction to Categories
6 Introduction to categories 6.1 The definition of a category We have now seen many examples of representation theories and of operations with representations (direct sum, tensor product, induction, restriction, reflection functors, etc.) A context in which one can systematically talk about this is provided by Category Theory. Category theory was founded by Saunders MacLane and Samuel Eilenberg around 1940. It is a fairly abstract theory which seemingly has no content, for which reason it was christened “abstract nonsense”. Nevertheless, it is a very flexible and powerful language, which has become totally indispensable in many areas of mathematics, such as algebraic geometry, topology, representation theory, and many others. We will now give a very short introduction to Category theory, highlighting its relevance to the topics in representation theory we have discussed. For a serious acquaintance with category theory, the reader should use the classical book [McL]. Definition 6.1. A category is the following data: C (i) a class of objects Ob( ); C (ii) for every objects X; Y Ob( ), the class Hom (X; Y ) = Hom(X; Y ) of morphisms (or 2 C C arrows) from X; Y (for f Hom(X; Y ), one may write f : X Y ); 2 ! (iii) For any objects X; Y; Z Ob( ), a composition map Hom(Y; Z) Hom(X; Y ) Hom(X; Z), 2 C × ! (f; g) f g, 7! ∞ which satisfy the following axioms: 1. The composition is associative, i.e., (f g) h = f (g h); ∞ ∞ ∞ ∞ 2. For each X Ob( ), there is a morphism 1 Hom(X; X), called the unit morphism, such 2 C X 2 that 1 f = f and g 1 = g for any f; g for which compositions make sense. -
Formal Model Theory & Higher Topology
Formal Model Theory & Higher Topology Ivan Di Liberti Pittsburgh’s HoTT Seminar October 2020 2 of 35 This talk is based on three preprints. 1 General facts on the Scott Adjunction, ArXiv:2009.14023. 2 Towards Higher Topology, ArXiv:2009.14145. 3 Formal Model Theory & Higher Topology, ArXiv:2010.00319. Which were estracted from my PhD thesis. 4 The Scott Adjunction, ArXiv:2009.07320. Sketches of an elephant These cover three different aspects of the same story. 1 Category Theory; 2 (Higher) Topology; 3 Logic. We will start our tour from the crispiest one: (Higher) Topology. 3 of 35 The topological picture Loc O pt pt S Top Pos ST ! Top is the category of topological spaces and continuous mappings between them. Pos! is the category of posets with directed suprema and functions preserving directed suprema. 4 of 35 The topological picture Loc O pt pt S Top Pos ST ! Loc is the category of Locales. It is defined to be the opposite category of frames, where objects are frames and morphisms are morphisms of frames. A frame is a poset with infinitary joins (W) and finite meets (^), verifying the infinitary distributivity rule, _ _ ( xi ) ^ y = (xi ^ y) The poset of open sets O(X ) of a topological space X is the archetypal example of a locale. 5 of 35 The topological picture Loc O pt pt S Top Pos ST ! The diagram is relating three different approaches to geometry. Top is the classical approach. Loc is the pointfree/constructive approach. Pos! was approached from a geometric perspective by Scott, motivated by domain theory and λ-calculus.