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Representable Functors

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FunctorsFull and Faithful Functors+3 moreAdjoint FunctorsCategorical Duality and Dual Functors+3 more
representable functor hom-functor Yoneda presheaf

Core Idea

For each object A in a locally small category C, the hom-functor Hom(A, -): C → Set sends each object B to the set of morphisms Hom(A, B) and each morphism f: B → C to post-composition with f. A functor F: C → Set is representable if it is naturally isomorphic to Hom(A, -) for some object A, called the representing object. Representability is a powerful concept: many construction functors (tensor product, free algebras, cohomology groups) are representable, and their representing objects carry universal properties.

How It's Best Learned

Show that the forgetful functor from Grp to Set is representable by the free group on one generator ℤ: a group homomorphism ℤ → G is uniquely determined by where 1 goes, so Grp(ℤ, G) ≅ G as sets, naturally in G. Identify the representing objects for other familiar functors.

Common Misconceptions

Explainer

You know that a functor F: C → Set assigns a set to each object and a function to each morphism. Most functors you encounter in practice have an interesting feature: the sets F(B) can be identified with sets of morphisms in C. When this identification is natural — meaning compatible with all morphisms in C in the precise sense you learned from natural transformations — the functor is called representable. Representability is a way of saying "this functor is really just about morphisms out of a fixed object."

The hom-functor Hom(A, −): C → Set is the prototype. Fix any object A. For each object B, define Hom(A, B) to be the set of all morphisms from A to B in C. For each morphism f: B → C, define Hom(A, f) to be post-composition: send each g: A → B to f ∘ g: A → C. This construction is functorial — it respects identity morphisms and composition — and it is the canonical example of a representable functor, with representing object A. A functor F: C → Set is representable if there exists an object A and a natural isomorphism α: F ≅ Hom(A, −). The object A is called the representing object of F.

A concrete example clarifies what representability means. Consider the forgetful functor U: Grp → Set. Does there exist a group A such that group homomorphisms from A to any group G are in natural bijection with elements of G? Yes: take A = ℤ. A homomorphism φ: ℤ → G is completely determined by φ(1) ∈ G (since φ(n) = φ(1)n by the homomorphism property), and any element g ∈ G determines a valid homomorphism by φ(1) = g. So Hom_Grp(ℤ, G) ≅ U(G) naturally in G — the forgetful functor is represented by ℤ. The "naturally in G" condition means this bijection commutes with all group homomorphisms G → G', which is exactly the naturality square you learned with natural transformations.

The power of representability is that it converts abstract functor questions into questions about morphisms in C, which are often more tractable. The representing object plays the role of a "universal element" — the bijection Hom(A, B) ≅ F(B) maps the identity morphism id_A ∈ Hom(A, A) to a distinguished element u ∈ F(A) with the property that every element of every F(B) is the image of u under some morphism. This universal element characterizes the representing object up to unique isomorphism, and recognizing it is the standard way to prove representability. The Yoneda lemma, which you will study next, sharpens this: natural transformations Hom(A, −) → F are in bijection with elements of F(A), giving a complete and powerful description of all representable functors.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesSet Operations: Union, Intersection, and ComplementCartesian Products and RelationsPartial OrdersBinary RelationsEquivalence RelationsInjective, Surjective, and Bijective FunctionsCategories and MorphismsFunctorsCommutative Diagrams in Category TheoryCommutative Diagrams and CompositionNatural TransformationsFunctor CategoriesRepresentable Functors

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