Category Theory by Example
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1. Directed Graphs Or Quivers What Is Category Theory? • Graph Theory on Steroids • Comic Book Mathematics • Abstract Nonsense • the Secret Dictionary
1. Directed graphs or quivers What is category theory? • Graph theory on steroids • Comic book mathematics • Abstract nonsense • The secret dictionary Sets and classes: For S = fX j X2 = Xg, have S 2 S , S2 = S Directed graph or quiver: C = (C0;C1;@0 : C1 ! C0;@1 : C1 ! C0) Class C0 of objects, vertices, points, . Class C1 of morphisms, (directed) edges, arrows, . For x; y 2 C0, write C(x; y) := ff 2 C1 j @0f = x; @1f = yg f 2C1 tail, domain / @0f / @1f o head, codomain op Opposite or dual graph of C = (C0;C1;@0;@1) is C = (C0;C1;@1;@0) Graph homomorphism F : D ! C has object part F0 : D0 ! C0 and morphism part F1 : D1 ! C1 with @i ◦ F1(f) = F0 ◦ @i(f) for i = 0; 1. Graph isomorphism has bijective object and morphism parts. Poset (X; ≤): set X with reflexive, antisymmetric, transitive order ≤ Hasse diagram of poset (X; ≤): x ! y if y covers x, i.e., x 6= y and [x; y] = fx; yg, so x ≤ z ≤ y ) z = x or z = y. Hasse diagram of (N; ≤) is 0 / 1 / 2 / 3 / ::: Hasse diagram of (f1; 2; 3; 6g; j ) is 3 / 6 O O 1 / 2 1 2 2. Categories Category: Quiver C = (C0;C1;@0 : C1 ! C0;@1 : C1 ! C0) with: • composition: 8 x; y; z 2 C0 ; C(x; y) × C(y; z) ! C(x; z); (f; g) 7! g ◦ f • satisfying associativity: 8 x; y; z; t 2 C0 ; 8 (f; g; h) 2 C(x; y) × C(y; z) × C(z; t) ; h ◦ (g ◦ f) = (h ◦ g) ◦ f y iS qq <SSSS g qq << SSS f qqq h◦g < SSSS qq << SSS qq g◦f < SSS xqq << SS z Vo VV < x VVVV << VVVV < VVVV << h VVVV < h◦(g◦f)=(h◦g)◦f VVVV < VVV+ t • identities: 8 x; y; z 2 C0 ; 9 1y 2 C(y; y) : 8 f 2 C(x; y) ; 1y ◦ f = f and 8 g 2 C(y; z) ; g ◦ 1y = g f y o x MM MM 1y g MM MMM f MMM M& zo g y Example: N0 = fxg ; N1 = N ; 1x = 0 ; 8 m; n 2 N ; n◦m = m+n ; | one object, lots of arrows [monoid of natural numbers under addition] 4 x / x Equation: 3 + 5 = 4 + 4 Commuting diagram: 3 4 x / x 5 ( 1 if m ≤ n; Example: N1 = N ; 8 m; n 2 N ; jN(m; n)j = 0 otherwise | lots of objects, lots of arrows [poset (N; ≤) as a category] These two examples are small categories: have a set of morphisms. -
Introduction
Pr´e-Publica¸c~oesdo Departamento de Matem´atica Universidade de Coimbra Preprint Number 19{32 CATEGORICAL ASPECTS OF CONGRUENCE DISTRIBUTIVITY MARINO GRAN, DIANA RODELO AND IDRISS TCHOFFO NGUEFEU Abstract: We give new characterisations of regular Mal'tsev categories with dis- tributive lattice of equivalence relations through variations of the so-called Tri- angular Lemma and Trapezoid Lemma in universal algebra. We then give new characterisations of equivalence distributive Goursat categories (which extend 3- permutable varieties) through variations of the Triangular and Trapezoid Lemmas involving reflexive and positive (compatible) relations. Keywords: Mal'tsev categories, Goursat categories, congruence modular varieties, congruence distributive varieties, Shifting Lemma, Triangular Lemma, Trapezoid Lemma. Math. Subject Classification (2010): 08C05, 08B05, 08A30, 08B10, 18C05, 18B99, 18E10. Introduction Regular Mal'tsev categories [7] extend 2-permutable varieties of univer- sal algebras, also including many examples which are not necessarily vari- etal, such as topological groups, compact groups, torsion-free groups and C∗-algebras, for instance. These categories have the property that any pair of (internal) equivalence relations R and S on the same object permute: RS = SR (see [6], for instance, and the references therein). It is well known that regular Mal'tsev categories have the property that the lattice of equiva- lence relations on any object is modular, so that they satisfy (the categorical version of) Gumm's Shifting Lemma [16]. More generally, this is the case for Goursat categories [8], which are those regular categories for which the composition of equivalence relations on the same object is 3-permutable: RSR = SRS. In [13] we proved that, for a regular category, the property of being a Mal'tsev category, or of being a Goursat category, can be both characterised Received 23rd September 2019. -
Nearly Locally Presentable Categories Are Locally Presentable Is Equivalent to Vopˇenka’S Principle
NEARLY LOCALLY PRESENTABLE CATEGORIES L. POSITSELSKI AND J. ROSICKY´ Abstract. We introduce a new class of categories generalizing locally presentable ones. The distinction does not manifest in the abelian case and, assuming Vopˇenka’s principle, the same happens in the regular case. The category of complete partial orders is the natural example of a nearly locally finitely presentable category which is not locally presentable. 1. Introduction Locally presentable categories were introduced by P. Gabriel and F. Ulmer in [6]. A category K is locally λ-presentable if it is cocomplete and has a strong generator consisting of λ-presentable objects. Here, λ is a regular cardinal and an object A is λ-presentable if its hom-functor K(A, −): K → Set preserves λ-directed colimits. A category is locally presentable if it is locally λ-presentable for some λ. This con- cept of presentability formalizes the usual practice – for instance, finitely presentable groups are precisely groups given by finitely many generators and finitely many re- lations. Locally presentable categories have many nice properties, in particular they are complete and co-wellpowered. Gabriel and Ulmer [6] also showed that one can define locally presentable categories by using just monomorphisms instead all morphisms. They defined λ-generated ob- jects as those whose hom-functor K(A, −) preserves λ-directed colimits of monomor- phisms. Again, this concept formalizes the usual practice – finitely generated groups are precisely groups admitting a finite set of generators. This leads to locally gener- ated categories, where a cocomplete category K is locally λ-generated if it has a strong arXiv:1710.10476v2 [math.CT] 2 Apr 2018 generator consisting of λ-generated objects and every object of K has only a set of strong quotients. -
An Introduction to Category Theory and Categorical Logic
An Introduction to Category Theory and Categorical Logic Wolfgang Jeltsch Category theory An Introduction to Category Theory basics Products, coproducts, and and Categorical Logic exponentials Categorical logic Functors and Wolfgang Jeltsch natural transformations Monoidal TTU¨ K¨uberneetika Instituut categories and monoidal functors Monads and Teooriaseminar comonads April 19 and 26, 2012 References An Introduction to Category Theory and Categorical Logic Category theory basics Wolfgang Jeltsch Category theory Products, coproducts, and exponentials basics Products, coproducts, and Categorical logic exponentials Categorical logic Functors and Functors and natural transformations natural transformations Monoidal categories and Monoidal categories and monoidal functors monoidal functors Monads and comonads Monads and comonads References References An Introduction to Category Theory and Categorical Logic Category theory basics Wolfgang Jeltsch Category theory Products, coproducts, and exponentials basics Products, coproducts, and Categorical logic exponentials Categorical logic Functors and Functors and natural transformations natural transformations Monoidal categories and Monoidal categories and monoidal functors monoidal functors Monads and Monads and comonads comonads References References An Introduction to From set theory to universal algebra Category Theory and Categorical Logic Wolfgang Jeltsch I classical set theory (for example, Zermelo{Fraenkel): I sets Category theory basics I functions from sets to sets Products, I composition -
AN INTRODUCTION to CATEGORY THEORY and the YONEDA LEMMA Contents Introduction 1 1. Categories 2 2. Functors 3 3. Natural Transfo
AN INTRODUCTION TO CATEGORY THEORY AND THE YONEDA LEMMA SHU-NAN JUSTIN CHANG Abstract. We begin this introduction to category theory with definitions of categories, functors, and natural transformations. We provide many examples of each construct and discuss interesting relations between them. We proceed to prove the Yoneda Lemma, a central concept in category theory, and motivate its significance. We conclude with some results and applications of the Yoneda Lemma. Contents Introduction 1 1. Categories 2 2. Functors 3 3. Natural Transformations 6 4. The Yoneda Lemma 9 5. Corollaries and Applications 10 Acknowledgments 12 References 13 Introduction Category theory is an interdisciplinary field of mathematics which takes on a new perspective to understanding mathematical phenomena. Unlike most other branches of mathematics, category theory is rather uninterested in the objects be- ing considered themselves. Instead, it focuses on the relations between objects of the same type and objects of different types. Its abstract and broad nature allows it to reach into and connect several different branches of mathematics: algebra, geometry, topology, analysis, etc. A central theme of category theory is abstraction, understanding objects by gen- eralizing rather than focusing on them individually. Similar to taxonomy, category theory offers a way for mathematical concepts to be abstracted and unified. What makes category theory more than just an organizational system, however, is its abil- ity to generate information about these abstract objects by studying their relations to each other. This ability comes from what Emily Riehl calls \arguably the most important result in category theory"[4], the Yoneda Lemma. The Yoneda Lemma allows us to formally define an object by its relations to other objects, which is central to the relation-oriented perspective taken by category theory. -
Kleisli Database Instances
KLEISLI DATABASE INSTANCES DAVID I. SPIVAK Abstract. We use monads to relax the atomicity requirement for data in a database. Depending on the choice of monad, the database fields may contain generalized values such as lists or sets of values, or they may contain excep- tions such as various typesi of nulls. The return operation for monads ensures that any ordinary database instance will count as one of these generalized in- stances, and the bind operation ensures that generalized values behave well under joins of foreign key sequences. Different monads allow for vastly differ- ent types of information to be stored in the database. For example, we show that classical concepts like Markov chains, graphs, and finite state automata are each perfectly captured by a different monad on the same schema. Contents 1. Introduction1 2. Background3 3. Kleisli instances9 4. Examples 12 5. Transformations 20 6. Future work 22 References 22 1. Introduction Monads are category-theoretic constructs with wide-ranging applications in both mathematics and computer science. In [Mog], Moggi showed how to exploit their expressive capacity to incorporate fundamental programming concepts into purely functional languages, thus considerably extending the potency of the functional paradigm. Using monads, concepts that had been elusive to functional program- ming, such as state, input/output, and concurrency, were suddenly made available in that context. In the present paper we describe a parallel use of monads in databases. This approach stems from a similarity between categories and database schemas, as presented in [Sp1]. The rough idea is as follows. A database schema can be modeled as a category C, and an ordinary database instance is a functor δ : C Ñ Set. -
Friday September 20 Lecture Notes
Friday September 20 Lecture Notes 1 Functors Definition Let C and D be categories. A functor (or covariant) F is a function that assigns each C 2 Obj(C) an object F (C) 2 Obj(D) and to each f : A ! B in C, a morphism F (f): F (A) ! F (B) in D, satisfying: For all A 2 Obj(C), F (1A) = 1FA. Whenever fg is defined, F (fg) = F (f)F (g). e.g. If C is a category, then there exists an identity functor 1C s.t. 1C(C) = C for C 2 Obj(C) and for every morphism f of C, 1C(f) = f. For any category from universal algebra we have \forgetful" functors. e.g. Take F : Grp ! Cat of monoids (·; 1). Then F (G) is a group viewed as a monoid and F (f) is a group homomorphism f viewed as a monoid homomor- phism. e.g. If C is any universal algebra category, then F : C! Sets F (C) is the underlying sets of C F (f) is a morphism e.g. Let C be a category. Take A 2 Obj(C). Then if we define a covariant Hom functor, Hom(A; ): C! Sets, defined by Hom(A; )(B) = Hom(A; B) for all B 2 Obj(C) and f : B ! C, then Hom(A; )(f) : Hom(A; B) ! Hom(A; C) with g 7! fg (we denote Hom(A; ) by f∗). Let us check if f∗ is a functor: Take B 2 Obj(C). Then Hom(A; )(1B) = (1B)∗ : Hom(A; B) ! Hom(A; B) and for g 2 Hom(A; B), (1B)∗(g) = 1Bg = g. -
Adjoint and Representable Functors
What underlies dual-process cognition? Adjoint and representable functors Steven Phillips ([email protected]) Mathematical Neuroinformatics Group, Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8566 JAPAN Abstract & Stanovich, 2013, for the model and responses to the five criticisms). According to this model, cognition defaults to Despite a general recognition that there are two styles of think- ing: fast, reflexive and relatively effortless (Type 1) versus slow, Type 1 processes that can be intervened upon by Type 2 pro- reflective and effortful (Type 2), dual-process theories of cogni- cesses in response to task demands. However, this model is tion remain controversial, in particular, for their vagueness. To still far from the kinds of formal, computational explanations address this lack of formal precision, we take a mathematical category theory approach towards understanding what under- that prevail in cognitive science. lies the relationship between dual cognitive processes. From our category theory perspective, we show that distinguishing ID Criticism of dual-process theories features of Type 1 versus Type 2 processes are exhibited via adjoint and representable functors. These results suggest that C1 Theories are multitudinous and definitions vague category theory provides a useful formal framework for devel- C2 Type 1/2 distinctions do not reliably align oping dual-process theories of cognition. C3 Cognitive styles vary continuously, not discretely Keywords: dual-process; Type 1; Type 2; category theory; C4 Single-process theories provide better explanations category; functor; natural transformation; adjoint C5 Evidence for dual-processing is unconvincing Introduction Table 2: Five criticisms of dual-process theories (Evans & Intuitively, at least, human cognition involves two starkly dif- Stanovich, 2013). -
Homological Algebra in Characteristic One Arxiv:1703.02325V1
Homological algebra in characteristic one Alain Connes, Caterina Consani∗ Abstract This article develops several main results for a general theory of homological algebra in categories such as the category of sheaves of idempotent modules over a topos. In the analogy with the development of homological algebra for abelian categories the present paper should be viewed as the analogue of the development of homological algebra for abelian groups. Our selected prototype, the category Bmod of modules over the Boolean semifield B := f0, 1g is the replacement for the category of abelian groups. We show that the semi-additive category Bmod fulfills analogues of the axioms AB1 and AB2 for abelian categories. By introducing a precise comonad on Bmod we obtain the conceptually related Kleisli and Eilenberg-Moore categories. The latter category Bmods is simply Bmod in the topos of sets endowed with an involution and as such it shares with Bmod most of its abstract categorical properties. The three main results of the paper are the following. First, when endowed with the natural ideal of null morphisms, the category Bmods is a semi-exact, homological category in the sense of M. Grandis. Second, there is a far reaching analogy between Bmods and the category of operators in Hilbert space, and in particular results relating null kernel and injectivity for morphisms. The third fundamental result is that, even for finite objects of Bmods the resulting homological algebra is non-trivial and gives rise to a computable Ext functor. We determine explicitly this functor in the case provided by the diagonal morphism of the Boolean semiring into its square. -
Linear Continuations and Duality Paul-André Melliès, Nicolas Tabareau
Linear continuations and duality Paul-André Melliès, Nicolas Tabareau To cite this version: Paul-André Melliès, Nicolas Tabareau. Linear continuations and duality. 2007. hal-00339156 HAL Id: hal-00339156 https://hal.archives-ouvertes.fr/hal-00339156 Preprint submitted on 17 Nov 2008 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. Linear continuations and duality Paul-Andre´ Mellies` and Nicolas Tabareau Equipe Preuves, Programmes, Syst`emes CNRS and Universit´eParis 7 Denis Diderot Abstract One fundamental aspect of linear logic is that its conjunction behaves in the same way as a tensor product in linear algebra. Guided by this intuition, we investigate the algebraic status of disjunction – the dual of conjunction – in the presence of linear continuations. We start from the observation that every monoidal category equipped with a tensorial negation inherits a lax monoidal structure from its opposite category. This lax structure interprets dis- junction, and induces a multicategory whose underlying category coincides with the kleisli category associated to the continuation monad. We study the structure of this multicategory, and establish a structure theorem adapting to linear continuations a result by Peter Selinger on control categories and cartesian continuations. -
Profunctors, Open Maps and Bisimulation
BRICS RS-04-22 Cattani & Winskel: Profunctors, Open Maps and Bisimulation BRICS Basic Research in Computer Science Profunctors, Open Maps and Bisimulation Gian Luca Cattani Glynn Winskel BRICS Report Series RS-04-22 ISSN 0909-0878 October 2004 Copyright c 2004, Gian Luca Cattani & Glynn Winskel. BRICS, Department of Computer Science University of Aarhus. All rights reserved. Reproduction of all or part of this work is permitted for educational or research use on condition that this copyright notice is included in any copy. See back inner page for a list of recent BRICS Report Series publications. Copies may be obtained by contacting: BRICS Department of Computer Science University of Aarhus Ny Munkegade, building 540 DK–8000 Aarhus C Denmark Telephone: +45 8942 3360 Telefax: +45 8942 3255 Internet: [email protected] BRICS publications are in general accessible through the World Wide Web and anonymous FTP through these URLs: http://www.brics.dk ftp://ftp.brics.dk This document in subdirectory RS/04/22/ Profunctors, Open Maps and Bisimulation∗ Gian Luca Cattani DS Data Systems S.p.A., Via Ugozzolo 121/A, I-43100 Parma, Italy. Email: [email protected]. Glynn Winskel University of Cambridge Computer Laboratory, Cambridge CB3 0FD, England. Email: [email protected]. October 2004 Abstract This paper studies fundamental connections between profunctors (i.e., dis- tributors, or bimodules), open maps and bisimulation. In particular, it proves that a colimit preserving functor between presheaf categories (corresponding to a profunctor) preserves open maps and open map bisimulation. Consequently, the composition of profunctors preserves open maps as 2-cells. -
1 Category Theory
{-# LANGUAGE RankNTypes #-} module AbstractNonsense where import Control.Monad 1 Category theory Definition 1. A category consists of • a collection of objects • and a collection of morphisms between those objects. We write f : A → B for the morphism f connecting the object A to B. • Morphisms are closed under composition, i.e. for morphisms f : A → B and g : B → C there exists the composed morphism h = f ◦ g : A → C1. Furthermore we require that • Composition is associative, i.e. f ◦ (g ◦ h) = (f ◦ g) ◦ h • and for each object A there exists an identity morphism idA such that for all morphisms f : A → B: f ◦ idB = idA ◦ f = f Many mathematical structures form catgeories and thus the theorems and con- structions of category theory apply to them. As an example consider the cate- gories • Set whose objects are sets and morphisms are functions between those sets. • Grp whose objects are groups and morphisms are group homomorphisms, i.e. structure preserving functions, between those groups. 1.1 Functors Category theory is mainly interested in relationships between different kinds of mathematical structures. Therefore the fundamental notion of a functor is introduced: 1The order of the composition is to be read from left to right in contrast to standard mathematical notation. 1 Definition 2. A functor F : C → D is a transformation between categories C and D. It is defined by its action on objects F (A) and morphisms F (f) and has to preserve the categorical structure, i.e. for any morphism f : A → B: F (f(A)) = F (f)(F (A)) which can also be stated graphically as the commutativity of the following dia- gram: F (f) F (A) F (B) f A B Alternatively we can state that functors preserve the categorical structure by the requirement to respect the composition of morphisms: F (idC) = idD F (f) ◦ F (g) = F (f ◦ g) 1.2 Natural transformations Taking the construction a step further we can ask for transformations between functors.