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I've noticed that even though resolutions of objects tend to be unique up to a nice notion of weak equivalence, the constructions I've seen for building them (e.g. at the nLab and Jonas Dallendörfer's bachelor's thesis ) seems to be kind of ad hoc, relying on the fact that you can build whatever diagram you're building (exact sequence or (co)simplicial object) one object at a time so you can interleave that with factorizations of objects. This doesn't help with doing, say, simplicial resolutions in bicategories, where it seems like a reasonable translation would use codescent objects, which are 2 objects deep and would break everything.
Is there a nice characterization of at least, say, P-projective and P-injective resolutions as a kind of homotopy (co)limit or Kan extension or something similar that would allow computation in more general contexts?
One way to systematically construct resolutions in a nice, functorial way is to use the bar and cobar constructions: https://ncatlab.org/nlab/show/bar%20construction, https://ncatlab.org/nlab/show/bar+and+cobar+construction
I wouldn't expect anything to break in a bicategory if you do everything bicategorically. What exactly are you envisioning, and where do you think codescent objects would come in and break things?
I would expect to start by taking a codescent object instead of a kernel pair, factor the arrows in it, and continue by taking two-arrow codescent object instead of two-arrow kernel triple, etc. But then I already have another object and a triple of arrows from the first codescent object and I can't see how to stick all that data together into something coherent.
I don't think I can follow that without more details.
In the 1-categorical case, https://pnp.mathematik.uni-stuttgart.de/lexmath/kuenzer/bachelor_dallendoerfer.pdf#section.3.2 discusses the construction of semisimplicial resolutions as a first step of constructing simplicial resolutions. The two key constructions are a sort of lesser weak factorization system that only promises to factorize initial arrows, and something called a "simplicial kernel". A "simplicial kernel" is a limit-like construction that takes parallel arrows and returns an object and parallel arrows . The case is an ordinary kernel pair.
The construction of a simplicial resolution is a sandwich, you start the algorithm with and and . Then at each step you factor to get an arrow which you then precompose with all your to get a set of . At this point you increment and set to the old and to and then you take the simplicial kernel to get a new and set of and you can repeat forever.
In a bicategory I would expect to use a codescent object instead of a kernel pair for the first step. A codescent object is illustrated at https://golem.ph.utexas.edu/category/2014/06/codescent_objects_and_coherenc.html under the heading "lax codescent objects" ... I would expect to need a "wide" version of this similar to the "simplicial kernel" but it's pretty easy to see what that would be. The trouble, however, already begins at the first application, since now instead of being at the tip of the whole diagram I've constructed so far, it's somewhere in the middle, with three arrows and behind it, and I can't see how to tie those three arrows and the object attached to them into the rest of the process.
I hear you can draw diagrams on here; this would probably be a bit clearer if I could figure out how ...
By the way, you need to use two dollar signs each time you're used to using one.
You can edit your comment to fix those... yeah, it's annoying.
Sorry, keep learning that and then forgetting it...
It's hard to say for sure without knowing what you're trying to achieve -- just wanting to "categorify something" without a concrete goal in mind doesn't always lead to meaningful results -- but my guess would be that the process would look exactly the same except that the simplicial kernel would be a codescent-like-object involving not just the last family of parallel arrows but the also ones that came before them.
Ah, that would make it harder to get the process started, though. As for what I'm trying to do ... I'm trying to find a general process for constructing a canonical simplicial nerve. In particular I am trying to construct a fully faithful simplicial nerve for virtual equipments because general abstract considerations around the Duskin nerve make it seem like there should be one.
Well, at the first step there's no extra data to worry about, so there's nothing wrong with just taking the ordinary kernel pair.
(In particular, it seems like a Duskin nerve based on a particular orientation of the simplices should be the composition of the inclusion of bicategories as vertically trivial virtual equipments with all composites, and the nerve i'm looking for ...)
Maybe that could work. I might need to make it a comma object though ...
Perhaps the general formula is to repeatedly extend the entire resolution constructed so far by one level, and it just happens in 1-category theory that the rest of it gets screened off by the most recent level.