On the left, we start from a set-functor , on the right we do the same, but now with a given metric on .
Example: We have seen the example of and . In that case, -cat is the category of preorders and on the left we get the bisimulation-order. On the right, if we order by inclusion, we get the forward-simulation order and if we order by reverse inclusion, we get the backward-inclusion order. If we quotient preorders to posets, these functors are known, respecitively, as the convex powerset, the upset functor and the downset functor.
Mathematical work goes into the following.
The left Kan extensions exist.
Identify the colimits needed to compute the Kan extension.
Characterise those functors that arise as Kan extensions.
Compute the -catification in interesting examples.
The central issue here is item 2. In terms of Kelly, Theorem 5.19, we need to find a density presentation of -cat. [1]
The density presentation in the case of is easily described and that is what we turn to now.
Preorders and Posets:
We first treat the special case (see Theorem 4.3 in Positive Fragments of Coalgebraic Logics). We write to stand for either the category of preorders or the category of posets.
Theorem: is dense.
While the details need some development, the essence of the argument is simple:
Every order is a certain enriched (or weighted or indexed) colimit, known as a coinserter, of discrete orders (sets). A coinserter is similar to a coequaliser, but, intuitively, quotienting wrt a preorder rather than an equivalence relation.
Definition: The coinserter of is an arrow which is universal wrt .
Lemma: Let be an order and represent as the pair of projections in . Then is the coinserter of () in .
The left Kan extension is now the coinserter of .
Theorem: The left Kan extension of is the given by the coinserter of the pair .
Example: The theorem makes it easy to verify that the three powerset functors in the section on ordered coalgebras are left Kan extensions.
Example: The posetification of the finitely supported probability distribution functor maps a partial order to the set of distributions on , ordered by iff for all upward closed subsets .
Proof (Sketch): We have if there is a distribution on such that and , denoting by the projections . That this implies is easily checked. For the converse, we adapt the argument of (De Vink and Rutten, 1999) by setting up a flow network so that the existence of is equivalent to the existence of a flow of 1. We then use to show that there is a minimal cut of 1, which in turn implies the existence of a maximal flow of 1 due to the max-flow-min-cut theorem.
General
The general case combines two ideas we have seen before.
Every order is a coinserter of sets.
Every -cat is a relational presheaf, or multi-order.
Our aim is to define a notion of multi-coinserter, or -coinserter, so that we can prove
Lemma: Every -cat is the -coinserter of a diagram in .
Technically, a coinserter is a weighted colimit consisting of a pair and weights and such that and .
Given an -cat with underlying set and "multi-orders" , we build a diagram with pairs
and weights and and and .
Comparing the weights of a coinserter with the weights of an -coinserter, the only difference is that in the distance from 0 to 1 is not [2] but , to quote from the paper:
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While this idea is straightforward, unfortunately the details are tricky and require the patience to unfold the definition of weighted limits which is opaque at first sight (quoting from Kelly, page 38):[3]
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is dense if the left Kan extension of along is the identity (Kelly, Theorem 5.1). This roughly means that every object in is a colimit of a diagram in .
Examples:
The one-elment set is dense in Set.
The finitely presentable objects are dense in a locally finitely presentable category.
The finitely generated free algebras are dense in a variety (= category of algebras defined by finitary operations and equations).
The Kleisli category is dense in the category of Eilenberg-Moore algebras of a monad.
The importance of enriched category theory can partly be explained by the fact that there are more enriched colimits. For example, the ordinary functor is not dense but the enriched functor is dense.↩︎
Recall that is the neutral element of the quantale.↩︎
is , is the weight, is the diagram and the weighted colimit.↩︎