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PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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A weighted limit of a set-valued diagram is the set of natural transformations from the weight

Statement

Let J be a small category and let W,D:J→Set be functors (Sets and functions form the large locally small category Set). Then the weighted limit of D by W in Set exists, and a weighted limit of a set-valued diagram is the set of natural transformations from the weight (Set-weighted limits and colimits, Functor category [C,D]):

{W,D}=[J,Set](W,D)=Nat⁡(W,D).

Its counit cylinder is κj(w)(α)=αj(w), and its elements are exactly the natural transformations W⇒D (Natural transformation and its components).

Facts & Assumptions

Given: A small category J and two functors W,D:J→Set.

[F2]

Sets as objects and functions as morphisms form a large locally small category Set (Sets and functions form the large locally small category Set).

[F6]

The functor category [C,D] has functors C→D as objects and natural transformations as morphisms (Functor category [C,D]).

[L1]

If C is small and D is locally small, then [C,D] is locally small (If C is small and D is locally small then [C,D] is locally small; if both are small it is small).

[F4]

The covariant hom-assignment C(a,−) sends u:b→c to u∗:C(a,b)⟶C(a,c),f⟼u∘f (The covariant and contravariant hom-assignments and the hom-bifunctor of a locally small category).

[F1]

A weighted limit {W,D} is an object that represents the functor sending an object to the set of natural transformations from the weight, that is M(m,{W,D})≅[J,Set](W,M(m,D−)) naturally in m, the counit cylinder corresponding to the identity (Set-weighted limits and colimits).

[F5]

A natural transformation α:F⇒G is a family αA:FA→GA such that every f:A→B satisfies the naturality equation Gf∘αA=αB∘Ff (Natural transformation and its components).

[F3]

The singleton {x} is the set whose only element is x: t∈{x}↔t=x (The unordered pair {x,y} and the singleton {x}={x,x}).

Proof

technique · direct
1.1F1F2F4F6L1

Since J is small and Set is locally small, [L1] and [F6] make N:=[J,Set](W,D) a set, and likewise Φ(X):=[J,Set](W,Set(X,D−)) a set for every set X, the functor Set(X,D−) being the covariant hom-functor of [F4] composed with D.

2.1F4F5step 1.1

For a set X the assignments h↦α with αj(w)(x)=h(x)j(w), and α↦h with h(x)j(w)=αj(w)(x), are mutually inverse bijections between Set(X,N) and Φ(X): each is defined by the same formula read in the two directions, and each side of the correspondence satisfies its naturality condition exactly when the other does, since D(u)(h(x)j(w))=h(x)k(W(u)(w)) for all x is the same family of equations as Set(X,D(u))∘αj=αk∘W(u).

3.1F1F5step 2.1

The bijection of step 2.1 is natural in X: for g:X′→X the family attached to h∘g has components w↦(x′↦h(g(x′))j(w)), which is the family attached to h postcomposed with Set(g,Dj). So N represents Φ in the sense of [F1] and is a weighted limit {W,D}; its counit cylinder is the family attached to the identity of N, namely κj(w)(α)=αj(w).

4.1F3F4step 3.1∎

Taking X to be a one-element set {∗} reads off the elements: by [F3] a function {∗}→Y is determined by its single value, so Set({∗},N) is in bijection with N and Φ({∗}) with [J,Set](W,D), and step 3.1 identifies the two. Hence an element of {W,D} is exactly a natural transformation W⇒D.

Remarks

Naturality in the test object is what makes this an identification of the represented functors rather than a bijection of two sets that happen to have the same size. Step 4.1 alone, evaluating at a one-element set, would compute the underlying set of a weighted limit already known to exist; it is step 3.1 that produces one.

The proposition is the reason the weighted limit is called a limit "weighted by W": in Set it is literally the set of W-shaped families in D, and every other target is compared to this case through a representable, which is A representable functor carries a weighted limit to the weighted limit of the composed diagram.

Depends on

Used by

Dependency tree · two levels

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Sources