CATEGORIFIED PRESHEAVES and SIEVES 3 Will Denote the Set of All Natural Transformations
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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 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. -
Topos Theory
Topos Theory Olivia Caramello Sheaves on a site Grothendieck topologies Grothendieck toposes Basic properties of Grothendieck toposes Subobject lattices Topos Theory Balancedness The epi-mono factorization Lectures 7-14: Sheaves on a site The closure operation on subobjects Monomorphisms and epimorphisms Exponentials Olivia Caramello The subobject classifier Local operators For further reading Topos Theory Sieves Olivia Caramello In order to ‘categorify’ the notion of sheaf of a topological space, Sheaves on a site Grothendieck the first step is to introduce an abstract notion of covering (of an topologies Grothendieck object by a family of arrows to it) in a category. toposes Basic properties Definition of Grothendieck toposes Subobject lattices • Given a category C and an object c 2 Ob(C), a presieve P in Balancedness C on c is a collection of arrows in C with codomain c. The epi-mono factorization The closure • Given a category C and an object c 2 Ob(C), a sieve S in C operation on subobjects on c is a collection of arrows in C with codomain c such that Monomorphisms and epimorphisms Exponentials The subobject f 2 S ) f ◦ g 2 S classifier Local operators whenever this composition makes sense. For further reading • We say that a sieve S is generated by a presieve P on an object c if it is the smallest sieve containing it, that is if it is the collection of arrows to c which factor through an arrow in P. If S is a sieve on c and h : d ! c is any arrow to c, then h∗(S) := fg | cod(g) = d; h ◦ g 2 Sg is a sieve on d. -
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. -
Lecture Notes on Sheaves, Stacks, and Higher Stacks
Lecture Notes on Sheaves, Stacks, and Higher Stacks Adrian Clough September 16, 2016 2 Contents Introduction - 26.8.2016 - Adrian Cloughi 1 Grothendieck Topologies, and Sheaves: Definitions and the Closure Property of Sheaves - 2.9.2016 - NeˇzaZager1 1.1 Grothendieck topologies and sheaves.........................2 1.1.1 Presheaves...................................2 1.1.2 Coverages and sheaves.............................2 1.1.3 Reflexive subcategories.............................3 1.1.4 Coverages and Grothendieck pretopologies..................4 1.1.5 Sieves......................................6 1.1.6 Local isomorphisms..............................9 1.1.7 Local epimorphisms.............................. 10 1.1.8 Examples of Grothendieck topologies..................... 13 1.2 Some formal properties of categories of sheaves................... 14 1.3 The closure property of the category of sheaves on a site.............. 16 2 Universal Property of Sheaves, and the Plus Construction - 9.9.2016 - Kenny Schefers 19 2.1 Truncated morphisms and separated presheaves................... 19 2.2 Grothendieck's plus construction........................... 19 2.3 Sheafification in one step................................ 19 2.3.1 Canonical colimit................................ 19 2.3.2 Hypercovers of height 1............................ 19 2.4 The universal property of presheaves......................... 20 2.5 The universal property of sheaves........................... 20 2.6 Sheaves on a topological space............................ 21 3 Categories -
Notes on Categorical Logic
Notes on Categorical Logic Anand Pillay & Friends Spring 2017 These notes are based on a course given by Anand Pillay in the Spring of 2017 at the University of Notre Dame. The notes were transcribed by Greg Cousins, Tim Campion, L´eoJimenez, Jinhe Ye (Vincent), Kyle Gannon, Rachael Alvir, Rose Weisshaar, Paul McEldowney, Mike Haskel, ADD YOUR NAMES HERE. 1 Contents Introduction . .3 I A Brief Survey of Contemporary Model Theory 4 I.1 Some History . .4 I.2 Model Theory Basics . .4 I.3 Morleyization and the T eq Construction . .8 II Introduction to Category Theory and Toposes 9 II.1 Categories, functors, and natural transformations . .9 II.2 Yoneda's Lemma . 14 II.3 Equivalence of categories . 17 II.4 Product, Pullbacks, Equalizers . 20 IIIMore Advanced Category Theoy and Toposes 29 III.1 Subobject classifiers . 29 III.2 Elementary topos and Heyting algebra . 31 III.3 More on limits . 33 III.4 Elementary Topos . 36 III.5 Grothendieck Topologies and Sheaves . 40 IV Categorical Logic 46 IV.1 Categorical Semantics . 46 IV.2 Geometric Theories . 48 2 Introduction The purpose of this course was to explore connections between contemporary model theory and category theory. By model theory we will mostly mean first order, finitary model theory. Categorical model theory (or, more generally, categorical logic) is a general category-theoretic approach to logic that includes infinitary, intuitionistic, and even multi-valued logics. Say More Later. 3 Chapter I A Brief Survey of Contemporary Model Theory I.1 Some History Up until to the seventies and early eighties, model theory was a very broad subject, including topics such as infinitary logics, generalized quantifiers, and probability logics (which are actually back in fashion today in the form of con- tinuous model theory), and had a very set-theoretic flavour. -
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). -
Arxiv:2012.08669V1 [Math.CT] 15 Dec 2020 2 Preface
Sheaf Theory Through Examples (Abridged Version) Daniel Rosiak December 12, 2020 arXiv:2012.08669v1 [math.CT] 15 Dec 2020 2 Preface After circulating an earlier version of this work among colleagues back in 2018, with the initial aim of providing a gentle and example-heavy introduction to sheaves aimed at a less specialized audience than is typical, I was encouraged by the feedback of readers, many of whom found the manuscript (or portions thereof) helpful; this encouragement led me to continue to make various additions and modifications over the years. The project is now under contract with the MIT Press, which would publish it as an open access book in 2021 or early 2022. In the meantime, a number of readers have encouraged me to make available at least a portion of the book through arXiv. The present version represents a little more than two-thirds of what the professionally edited and published book would contain: the fifth chapter and a concluding chapter are missing from this version. The fifth chapter is dedicated to toposes, a number of more involved applications of sheaves (including to the \n- queens problem" in chess, Schreier graphs for self-similar groups, cellular automata, and more), and discussion of constructions and examples from cohesive toposes. Feedback or comments on the present work can be directed to the author's personal email, and would of course be appreciated. 3 4 Contents Introduction 7 0.1 An Invitation . .7 0.2 A First Pass at the Idea of a Sheaf . 11 0.3 Outline of Contents . 20 1 Categorical Fundamentals for Sheaves 23 1.1 Categorical Preliminaries . -
A Grothendieck Site Is a Small Category C Equipped with a Grothendieck Topology T
Contents 5 Grothendieck topologies 1 6 Exactness properties 10 7 Geometric morphisms 17 8 Points and Boolean localization 22 5 Grothendieck topologies A Grothendieck site is a small category C equipped with a Grothendieck topology T . A Grothendieck topology T consists of a collec- tion of subfunctors R ⊂ hom( ;U); U 2 C ; called covering sieves, such that the following hold: 1) (base change) If R ⊂ hom( ;U) is covering and f : V ! U is a morphism of C , then f −1(R) = fg : W ! V j f · g 2 Rg is covering for V. 2) (local character) Suppose R;R0 ⊂ hom( ;U) and R is covering. If f −1(R0) is covering for all f : V ! U in R, then R0 is covering. 3) hom( ;U) is covering for all U 2 C . 1 Typically, Grothendieck topologies arise from cov- ering families in sites C having pullbacks. Cover- ing families are sets of maps which generate cov- ering sieves. Suppose that C has pullbacks. A topology T on C consists of families of sets of morphisms ffa : Ua ! Ug; U 2 C ; called covering families, such that 1) Suppose fa : Ua ! U is a covering family and y : V ! U is a morphism of C . Then the set of all V ×U Ua ! V is a covering family for V. 2) Suppose ffa : Ua ! Vg is covering, and fga;b : Wa;b ! Uag is covering for all a. Then the set of composites ga;b fa Wa;b −−! Ua −! U is covering. 3) The singleton set f1 : U ! Ug is covering for each U 2 C . -
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. -
Notes on Topos Theory
Notes on topos theory Jon Sterling Carnegie Mellon University In the subjectivization of mathematical objects, the activity of a scientist centers on the articial delineation of their characteristics into denitions and theorems. De- pending on the ends, dierent delineations will be preferred; in these notes, we prefer to work with concise and memorable denitions constituted from a common body of semantically rich building blocks, and treat alternative characterizations as theorems. Other texts To learn toposes and sheaves thoroughly, the reader is directed to study Mac Lane and Moerdijk’s excellent and readable Sheaves in Geometry and Logic [8]; also recommended as a reference is the Stacks Project [13]. ese notes serve only as a supplement to the existing material. Acknowledgments I am grateful to Jonas Frey, Pieter Hofstra, Ulrik Buchholtz, Bas Spiers and many others for explaining aspects of category theory and topos theory to me, and for puing up with my ignorance. All the errors in these notes are mine alone. 1 Toposes for concepts in motion Do mathematical concepts vary over time and space? is question is the fulcrum on which the contradictions between the competing ideologies of mathematics rest. Let us review their answers: Platonism No. Constructivism Maybe. Intuitionism Necessarily, but space is just an abstraction of time. Vulgar constructivism No.1 Brouwer’s radical intuitionism was the rst conceptualization of mathematical activity which took a positive position on this question; the incompatibility of intuition- ism with classical mathematics amounts essentially to the fact that they take opposite positions as to the existence of mathematical objects varying over time. -
Combinatorial Species and Labelled Structures Brent Yorgey University of Pennsylvania, [email protected]
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 1-1-2014 Combinatorial Species and Labelled Structures Brent Yorgey University of Pennsylvania, [email protected] Follow this and additional works at: http://repository.upenn.edu/edissertations Part of the Computer Sciences Commons, and the Mathematics Commons Recommended Citation Yorgey, Brent, "Combinatorial Species and Labelled Structures" (2014). Publicly Accessible Penn Dissertations. 1512. http://repository.upenn.edu/edissertations/1512 This paper is posted at ScholarlyCommons. http://repository.upenn.edu/edissertations/1512 For more information, please contact [email protected]. Combinatorial Species and Labelled Structures Abstract The theory of combinatorial species was developed in the 1980s as part of the mathematical subfield of enumerative combinatorics, unifying and putting on a firmer theoretical basis a collection of techniques centered around generating functions. The theory of algebraic data types was developed, around the same time, in functional programming languages such as Hope and Miranda, and is still used today in languages such as Haskell, the ML family, and Scala. Despite their disparate origins, the two theories have striking similarities. In particular, both constitute algebraic frameworks in which to construct structures of interest. Though the similarity has not gone unnoticed, a link between combinatorial species and algebraic data types has never been systematically explored. This dissertation lays the theoretical groundwork for a precise—and, hopefully, useful—bridge bewteen the two theories. One of the key contributions is to port the theory of species from a classical, untyped set theory to a constructive type theory. This porting process is nontrivial, and involves fundamental issues related to equality and finiteness; the recently developed homotopy type theory is put to good use formalizing these issues in a satisfactory way.