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Let be an (oo,1)-cat and an object of it. Has someone already given a description of the over category , in terms of categories enriched over Kan simplicial sets?
I mean if we look at as a category with Kan simplicial sets as hom’s, how is the over category defined in this picture?
The hom-set definition relays on the definition of elements , but in the higher context, there are not just elements but there are also the’higher elements’ (higer morphisms of course) , so on a first sight this is not straight forward.
If I see it right, the idea in over-(infinity,1)-category doesn’t apply 1:1 to the simplicial enriched setting.
To see that, suppose is an (oo,1)-category and are objects of . Suppose the objects of are morphisms . To speak of a morphism we need to know what means and in the simplicial category setting, it means
Since the latter is a set ’’ makes sense in the usual way.
The problem is then the -morphism
What’s that?
We have -morphisms and defined by
but that is different from the diagram above.
Why not using the following:
Objects of the slice (oo,1)-category are -morphisms for any , or to be more precise objects of are all pairs , where is an object of and is an -morphism , which means
for some .
Now the arrows in the slice (oo,1)-category should be Kan simplicial sets.
For any two objects we have the categorical composition law
This way we get an arrow , which is the natural transformation of simplicial sets , restriced to the simplicial subset of .
However we need a Kan simplicial set , but we can define that in dimension by for as above.
This is like the inner hom.
Hard to tell for me what you are asking here.
Maybe the quickest way to get a handle on -slices as Kan-complex enriched categories is this: if you obtain your Kan-complex enriched category from a model category, then the Kan-complex slice category is analogously given by the slice model structure.
Hmm I thought to proof that this a valid slice category presentation, I should apply Cordiers simplicial nerve functor and then see, if what we get is equivalent to his standard definition of the slice in terms of quasy categories.
What is “this” in your last message?
The proof that the slice model structure presensent the slice -category (if we are slicing over a fibrant representative) is spelled out at slice model structure.
Or are you after the description of the slice as a quasi-category? That is simply this: if is a quasi-category and an object, then then -cells of are those maps out of the join of simplicial sets that take the cone point to .
this means my proposed definition in post #3, because of what I said in #2 …
The last part of your last post is clear. This is part of HTT, but not what I’m after.
I’m talking about:
data:
Category enriched over Kan simplicial sets (This is a prsentation of an (oo,1)-category)
Question:
Given an object of that category, what is the slice category over that object.
Can’t see why we have to take model structures into consideration.
Most likely there is a bug in our communication, somewhere…
I am not aware of a direct formula for a general Kan-complex enriched category.
But I said: in case it happens to come to you as the full subcategory of fibrant-cofibrant objects of a simplicial model category, then the slicing is given simply as the ordinary slicing of the model structure over a fibrant representative objects.
If your Kan-complex enriched category does not arise this way, you can in principle 1. apply the homotopy coherent nerve to obtain the coresponding quasi-category, then 2. produce its slice as above and then 3. turn that again into a Kan complex enriched category by the adjoint of the homotopy coherent nerve.
Here’s a more abstract idea: slice categories are a special case of comma categories, which are a weighted limit. Now consider the corresponding weighted homotopy limit in the model category of simplicially enriched categories. This might not work, however, if the latter model category is insufficiently well-behaved — e.g. it is not a monoidal model structure, hence not model-wise enriched over itself, and so it’s not entirely clear what sort of “weighting” one would need to consider. But it’s perhaps a direction worth thinking about.
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