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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. -
Relations in Categories
Relations in Categories Stefan Milius A thesis submitted to the Faculty of Graduate Studies in partial fulfilment of the requirements for the degree of Master of Arts Graduate Program in Mathematics and Statistics York University Toronto, Ontario June 15, 2000 Abstract This thesis investigates relations over a category C relative to an (E; M)-factori- zation system of C. In order to establish the 2-category Rel(C) of relations over C in the first part we discuss sufficient conditions for the associativity of horizontal composition of relations, and we investigate special classes of morphisms in Rel(C). Attention is particularly devoted to the notion of mapping as defined by Lawvere. We give a significantly simplified proof for the main result of Pavlovi´c,namely that C Map(Rel(C)) if and only if E RegEpi(C). This part also contains a proof' that the category Map(Rel(C))⊆ is finitely complete, and we present the results obtained by Kelly, some of them generalized, i. e., without the restrictive assumption that M Mono(C). The next part deals with factorization⊆ systems in Rel(C). The fact that each set-relation has a canonical image factorization is generalized and shown to yield an (E¯; M¯ )-factorization system in Rel(C) in case M Mono(C). The setting without this condition is studied, as well. We propose a⊆ weaker notion of factorization system for a 2-category, where the commutativity in the universal property of an (E; M)-factorization system is replaced by coherent 2-cells. In the last part certain limits and colimits in Rel(C) are investigated. -
Functional Programming Applied to Computational Algebra
THESIS FUNCTIONAL PROGRAMMING APPLIED TO COMPUTATIONAL ALGEBRA Submitted by Ian H. Kessler Department of Mathematics In partial fulfillment of the requirements For the Degree of Master of Science Colorado State University Fort Collins, Colorado Fall 2018 Master’s Committee: Advisor: James B. Wilson Amit Patel Hamidreza Chitsaz Copyright by Ian H. Kessler 2018 All Rights Reserved ABSTRACT FUNCTIONAL PROGRAMMING APPLIED TO COMPUTATIONAL ALGEBRA Underlying many, if not all, areas of mathematics is category theory, an alternative to set the- ory as a foundation that formalizes mathematical structures and relations between them. These relations abstract the idea of a function, an abstraction used throughout mathematics as well as throughout programming. However, there is a disparity between the definition of a function used in mathematics from that used in mainstream programming. For mathematicians to utilize the power of programming to advance their mathematics, there is a demand for a paradigm of pro- gramming that uses mathematical functions, as well as the mathematical categories that support them, as the basic building blocks, enabling programs to be built by clever mathematics. This paradigm is functional programming. We wish to use functional programming to represent our mathematical structures, especially those used in computational algebra. ii ACKNOWLEDGEMENTS I want to thank God for the opportunity to go to graduate school, and for giving me the strength to persevere through it. I want to thank my mom, dad, and my brothers, Jerry and Joel, for believing in me. I am grateful for my mom for giving me emotional support and words of encouragement throughout my time in graduate school. -
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 -
IBM Cognos Analytics - Reporting Version 11.1
IBM Cognos Analytics - Reporting Version 11.1 User Guide IBM © Product Information This document applies to IBM Cognos Analytics version 11.1.0 and may also apply to subsequent releases. Copyright Licensed Materials - Property of IBM © Copyright IBM Corp. 2005, 2021. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM, the IBM logo and ibm.com are trademarks or registered trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at " Copyright and trademark information " at www.ibm.com/legal/copytrade.shtml. The following terms are trademarks or registered trademarks of other companies: • Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. • Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. • Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. • Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. • UNIX is a registered trademark of The Open Group in the United States and other countries. • Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. -
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. -
Homotopical Categories: from Model Categories to ( ,)-Categories ∞
HOMOTOPICAL CATEGORIES: FROM MODEL CATEGORIES TO ( ;1)-CATEGORIES 1 EMILY RIEHL Abstract. This chapter, written for Stable categories and structured ring spectra, edited by Andrew J. Blumberg, Teena Gerhardt, and Michael A. Hill, surveys the history of homotopical categories, from Gabriel and Zisman’s categories of frac- tions to Quillen’s model categories, through Dwyer and Kan’s simplicial localiza- tions and culminating in ( ;1)-categories, first introduced through concrete mod- 1 els and later re-conceptualized in a model-independent framework. This reader is not presumed to have prior acquaintance with any of these concepts. Suggested exercises are included to fertilize intuitions and copious references point to exter- nal sources with more details. A running theme of homotopy limits and colimits is included to explain the kinds of problems homotopical categories are designed to solve as well as technical approaches to these problems. Contents 1. The history of homotopical categories 2 2. Categories of fractions and localization 5 2.1. The Gabriel–Zisman category of fractions 5 3. Model category presentations of homotopical categories 7 3.1. Model category structures via weak factorization systems 8 3.2. On functoriality of factorizations 12 3.3. The homotopy relation on arrows 13 3.4. The homotopy category of a model category 17 3.5. Quillen’s model structure on simplicial sets 19 4. Derived functors between model categories 20 4.1. Derived functors and equivalence of homotopy theories 21 4.2. Quillen functors 24 4.3. Derived composites and derived adjunctions 25 4.4. Monoidal and enriched model categories 27 4.5. -
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. -
Model Category Theory in Homological Action
New York Journal of Mathematics New York J. Math. 20 (2014) 1077{1159. Six model structures for DG-modules over DGAs: model category theory in homological action Tobias Barthel, J.P. May and Emily Riehl The authors dedicate this paper to John Moore, who pioneered this area of mathematics. He was the senior author's adviser, and his mathematical philosophy pervades this work and indeed pervades algebraic topology at its best. Abstract. In Part 1, we describe six projective-type model structures on the category of differential graded modules over a differential graded algebra A over a commutative ring R. When R is a field, the six collapse to three and are well-known, at least to folklore, but in the general case the new relative and mixed model structures offer interesting alterna- tives to the model structures in common use. The construction of some of these model structures requires two new variants of the small object argument, an enriched and an algebraic one, and we describe these more generally. In Part 2, we present a variety of theoretical and calculational cofi- brant approximations in these model categories. The classical bar con- struction gives cofibrant approximations in the relative model structure, but generally not in the usual one. In the usual model structure, there are two quite different ways to lift cofibrant approximations from the level of homology modules over homology algebras, where they are classi- cal projective resolutions, to the level of DG-modules over DG-algebras. The new theory makes model theoretic sense of earlier explicit calcu- lations based on one of these constructions. -
Complicial Sets, an Overture
COMPLICIAL SETS, AN OVERTURE EMILY RIEHL Abstract. The aim of these notes is to introduce the intuition motivating the notion of a complicial set, a simplicial set with certain marked \thin" simplices that witness a composition relation between the simplices on their boundary. By varying the marking conventions, complicial sets can be used to model (1; n)-categories for each n ≥ 0, including n = 1. For this reason, compli- cial sets present a fertile setting for thinking about weak infinite dimensional categories in varying dimensions. This overture is presented in three acts: the first introducing simplicial models of higher categories; the second defining the Street nerve, which embeds strict !-categories as strict complicial sets; and the third exploring an important saturation condition on the marked simplices in a complicial set and presenting a variety of model structures that capture their basic homotopy theory. Scattered throughout are suggested exercises for the reader who wants to engage more deeply with these notions. Contents 1. Introducing complicial sets 3 1.1. Quasi-categories as ( ; 1)-categories 3 1.2. Towards a simplicial1 model of ( ; 2)-categories 5 1.3. Stratified simplicial sets1 6 1.4. Complicial sets 7 1.5. n-trivialization and the n-core 9 2. The Street nerve of an !-category 10 2.1. !-categories 11 2.2. Orientals 13 2.3. The Street nerve as a strict complicial set 15 3. Saturated complicial sets 16 3.1. Weak complicial sets from strict !-categories 17 3.2. Saturation 19 3.3. Model categories of complicial sets 22 arXiv:1610.06801v1 [math.CT] 21 Oct 2016 References 23 As the objects that mathematicians study increase in sophistication, so do their natural habitats. -
10. Algebra Theories II 10.1 Essentially Algebraic Theory Idea: A
Page 1 of 7 10. Algebra Theories II 10.1 essentially algebraic theory Idea: A mathematical structure is essentially algebraic if its definition involves partially defined operations satisfying equational laws, where the domain of any given operation is a subset where various other operations happen to be equal. An actual algebraic theory is one where all operations are total functions. The most familiar example may be the (strict) notion of category: a small category consists of a set C0of objects, a set C1 of morphisms, source and target maps s,t:C1→C0 and so on, but composition is only defined for pairs of morphisms where the source of one happens to equal the target of the other. Essentially algebraic theories can be understood through category theory at least when they are finitary, so that all operations have only finitely many arguments. This gives a generalization of Lawvere theories, which describe finitary algebraic theories. As the domains of the operations are given by the solutions to equations, they may be understood using the notion of equalizer. So, just as a Lawvere theory is defined using a category with finite products, a finitary essentially algebraic theory is defined using a category with finite limits — or in other words, finite products and also equalizers (from which all other finite limits, including pullbacks, may be derived). Definition As alluded to above, the most concise and elegant definition is through category theory. The traditional definition is this: Definition. An essentially algebraic theory or finite limits theory is a category that is finitely complete, i.e., has all finite limits. -
Joyal's Arithmetic Universe As List-Arithmetic Pretopos 1
Theory and Applications of Categories, Vol. 24, No. 3, 2010, pp. 39{83. JOYAL'S ARITHMETIC UNIVERSE AS LIST-ARITHMETIC PRETOPOS MARIA EMILIA MAIETTI Abstract. We explain in detail why the notion of list-arithmetic pretopos should be taken as the general categorical definition for the construction of arithmetic universes introduced by Andr´eJoyal to give a categorical proof of G¨odel'sincompleteness results. We motivate this definition for three reasons: first, Joyal's arithmetic universes are list- arithmetic pretopoi; second, the initial arithmetic universe among Joyal's constructions is equivalent to the initial list-arithmetic pretopos; third, any list-arithmetic pretopos enjoys the existence of free internal categories and diagrams as required to prove G¨odel's incompleteness. In doing our proofs we make an extensive use of the internal type theory of the categorical structures involved in Joyal's constructions. The definition of list-arithmetic pretopos is equivalent to the general one that I came to know in a recent talk by Andr´eJoyal. 1. Introduction The categories of topoi and pretopoi can be viewed as universes of abstract sets in which to develop mathematics (see [LR03, Joh77, JM95, MM92, Hyl82]). Joyal's arithmetic universes provide further examples of such universes. Andr´eJoyal introduced arithmetic universes in some lectures given in the seventies, all still unpublished, to provide a categorical proof of G¨odel'sincompleteness theorems. He defined arithmetic universes by giving a general construction of examples including the free initial one. He then intended to prove incompleteness by mimicking the diagonal argument of Cantor's theorem within the initial arithmetic universe [Joy05].