You're reading the public-facing archive of the Category Theory Zulip server.
To join the server you need an invite. Anybody can get an invite by contacting Matteo Capucci at name dot surname at gmail dot com.
For all things related to this archive refer to the same person.
The normal definition of algebraic weak factorization systems is complex and full of redundant data. It seems like it would be simpler to define an AWFS as a functorial factorization (section of composition) that is skew-coassociative -- that is:
This seems to lead to the same definition but i'm having a little trouble proving it because of the complexity of the original definition -- making sure I've verified all the laws and there are no extras. Maybe there is a more conceptual approach via the "Beck theorem"?
I don't have any insights to lend, but just to mention that Bourke shared an intuition that AWFSs were conceptually similar to skew structures in this talk.
In "Cofibrantly Generated Natural Weak factorization Systems" Garner gives a more conceptual/abstract definition of AWFS as bialgebras in a certain monoidal category, this is described in section 3
I'd be interested in a more hands-on, equivalent definition, but can't make any sense of your candidate. Could you please give a bit more detail?
Thanks @Patrick Nicodemus -- I haven't done it yet for time reasons, but this definition seems like it would be a lot easier to prove (in)equivalent to mine.
@Tom Hirschowitz, let's call the category that's just an -arrow path. Then is the arrow category of , and the inclusion of in as the longest arrow induces by restriction a standard composition functor . Call a section of an -ary functorial factorization. The full subcategory of on functorial factorizations will be known as .
Now, the identity functor is the unique unary functorial factorization, and because of associativity of composition in categories, and the fact that is an -ary pushout of copies of , there's an operation where you can "plug" functorial factorizations into an -ary functorial factorization to get a functorial factorization . This has the effect of factoring an arrow with and then factoring arrow number in the path further with , then stringing all the resulting paths together. This operation is functorial in and all the .
So we start with a generating binary factorization and then we use this operation and the identity along with to generate all the functorial factorizations we can. Then assume we happen to have a morphism (natural transformation) . If as a diagram in looks like , then looks like:
where the left square will become, in the conventional definition of AWFS, the comultiplication of the comonad and the right square will become the multiplication of the monad , and the middle square the distributive law between them.
The next step is to generate all the natural transformations we can by plugging in various places using the functorial action of , and then we want any two parallel arrows we generate freely this way to be equal. It turns out due to various previously-known facts about coherences that this happens exactly when the "pentagon law" holds: . This can be reexpressed pointwise as this hard-to-read diagram in .
The pentagon law is equivalent to three laws, if you can manage to follow the diagram: the comonad comultiplication law for , the monad multiplication law for , and the "only nontrivial law for the distributive law". I think the comonad counit laws for and the monad unit laws for are true basically by definition. Is that all the actual laws for an AWFS? It's hard to tell, for me.
This looks cute, thanks for taking the time to write it! I'm not sure I entirely understand the "hard-to-read" diagram though... I'd be interested if you write this up at some point.
The counit/unit laws turn out to be a little more interesting than I imagined and I'm trying to figure out how best to formulate them.
(One counit/unit pair states that the diagonal of the middle square of is an identity, which seems like a "nice" law but I'm not sure quite what the significance is; I can't yet interpret the other pair usefully.)