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Let be a quantale; define the category of weighted sets over to be the category where
Usually one works in the following particular case: is the poset and the quantale operation is the sum. In such case, is called a norm on and denoted with vertical bars . So, a nonexpansive map is a function as above, such that .
One can prove that the category of weighted sets is (symmetric) monoidal closed: regarded as a category, the quantale is closed, and one can use the internal hom in to define an internal hom in . In the particular case above, becomes a weighted set with norm ; the internal hom between and is the set of all functions , with norm given by the sup over of the set of real numbers (the sum is truncated at zero: so, note that for the 's that are morphisms of weighted sets, this is actually 0; the norm of measures how far is from being nonexpansive).
So, since it is monoidal closed, we can enrich over ! We can consider the 2-category and do something with it. My problem is the following: I want to compute interesting weighted limits and colimits in , motivated by the observation that tensors are kinda interesting constructions.
(I denote just as the category of sets weighted over or, equivalently up to quantale iso, ).
Let be a set; a category with arbitrary coproducts is tensored over by the assignment . It seems to me that for a -category , being tensored over means that we are building a tensor where each repeated summand "weighs" differently, according to the map (that can be thought of as assigning a probability to ).
In more concrete terms, let's say we are given a set of wires in parallel and a switch, let's say in an electrical circuit, that chooses port with a certain probability : this intuition is motivated by the fact that if one tries to cast the universal property of the tensor, in order for the hom-set to be isomorphic (as a weighted set) to the set , a morphism is a function from the coproduct to , i.e. a family of functions , but "decorated" with the additional information that cannot exceed (so it's an upper bound for the probability that, at the switching point, the summand will be chosen to perform the "operation" ).
Motivated by this rather enticing intuition, I have tried to find other, more elaborate shapes of weights for which one can compute the weighted co/limit of a diagram of -enriched categories.
Unfortunately, I have no idea what kind of are interesting: contrary to the case where the base of enrichment is , there's little information on how to "generate" weights that carry interesting information, and the few attempts I made used very simple shapes that carried little interest.
(this question stemmed from @Paolo Perrone 's talk on "The rise of quantitative category theory")
So is the question whether anyone knows what shapes you should look at?
Yes, the question is left open on purpose: what are interesting shapes of weights one might want to compute?
Not much with a meaning of "probability", but rather, "distance", one may want to compute a sequential colimit where the weights are a sequence that converges to zero, a bit as in my example in the talk (Of course one does not need weighted categories for that, Lawvere metric spaces are enough for example.)