This is an old revision of the document!
−Table of Contents
2023-03-04
- learn what is Barr-Beck (don't worry about Lurie, I am not yet).
Barr-Beck condition
Let me follow Branter's note . And, Akhil Matthew's Serre Criterion for affiness.
L2
Category warm-up.
- What is a left-adjoint functor? , (restriction to open set)
- What is a colimit? (taking cokernel of , taking coequalizer)
- Who preserves colimit? by definition. Thus, if is a left-adjoint, we have
- That was too abstract. What is an example? No, remember it, like 'colimit commute with left-adjoint', say it 100 times.
- If is a compact projective, then commute with all colimit? Why?
- is compact, means that preserves filtered colimit (can there be an example, where does not
What is a filtered colimit? It is a colimit over a filtered category, where every two objects can map to a third common object, and every two morphism (within the same hom space) can be composed with a third, to coequalize. As written, it is obvious that, pushout square, direct sum of stuff (even finitely many), cokernel (a special kind of pushout) are not filtered colimit.
what is a directed set? it is a set with partial ordering, such that every two elements has a common downstream guy. So, it is less general than a filtered set, where morphism between two objects can be not just relation.
is a direct limit (union) of copies of . Indeed, it is like . As a -module. very nice.
What is a localization of a ring? where the ring is viewed as a module over itself, and we allow for bigger and bigger denominators? maybe.
what does flat module mean? tensor is good?
I have this conflicting intuition: for a filtered diagram, every two nodes eventually will meet and will stay together ever after, but there will be more and more nodes as you 'go to the right, go to infinity'. how can that happen? well, it is just like life, each individual will die, but the human society lives on. fine.
why filtered colimit preserves flatness? If are flat modules, and is a filtered colimit, we need to show that for any injection, we have is still injective. Why? suppose we have sent to which is zero. Here we have finitely many involved in the colimit, each of them represent a coherent string of showers of modules in the system. The point is that, all the have a common home somewhere downstream. We can use property of that common home.
Fact: all colimit preserves right-exatness. namely, if we have a surjection , then the direct sum of them still is a surjection. Why arbitrary colimit does not perserve left-exactness? Here is an example: take , and , and , and consider the pushout diagram from the first to the 2nd,3rd. then the termwise pushout gives me , but it doesn't preserved left exactness.
You see, colimit is a useful notion, without which we cannot talk about union, cokernel, many things. filtered colimit is another useful notion, with good properties, but too strict. They are different.
Let me do this exercises:
- If is compact, then commute with filtered colimit. yes, definition. And only filtred colimit. For example, consider as -mod, and consider the cokernel of , we get as the 'colimit of the pushout'. However, if we apply the , termwise, we get , hence the pushout is . You can say, the failure is because we didn't use derived hom.
- If is projective, then, there is no higher hom. is right exact.
- finite limit and filtered colimit commute in SET.
Warm-up: what is limit of a category in set? it is like taking global section of a sheaf, but much much more derived. it involves choosing for each object , a corresponding value , such that they are compatible along maps. sometimes, it is not even possible, like, you have two arrows , but there is no such that . bad.
Warm-up: what is the filtered colimit in Set? It is a disjoint union of the valued set, quotient out by some realtion.
Warm-up: what is an arbitrary colimit in Set? For example, how do you take the 'pushout' in SET? Well, the best thing that I can think of is the connecting dots using lines, and take connected components.
Warm-up: now that I know, in set, limit = global section; colimit = gluing, and filtered colimit = gluing without using lines to connect things. then if I have two indexing categories, a filtered cat and a finite cat , and a bi-functor , then I can either take direction global section, then patch it up, in the I direction. or I can take the I-direction patching, then take the resulting global section. The second approach is apparently more complicated. The idea is that, for the finite limit of the filtered colimit, for each node , we choose some guy in the termwise colimit, so that they are compatible in the colimit-sense relations. Now, we take representatives back in the finite place. they may each map to some different, but finitely many . We can first let them meet-up downstream at some common node . but then, the arrows between them may not match-up, but we know they evnetually match-up, and there are only finitely many arrows, so we flow downstream, until they one by one all become green-check. So, then, we finished constructed a lift from the global section of the filtered colimit to something easy and nice.
Notation: right-cone of a category : just add a terminal object to .
Say is a functor, we say preserves and reflect colimit, meaning: suppose we have a candidate colimit diagram in , and take its image in . Then, the diagram is colimit (right exact) in , if and only if it is colimit in . Note that, we don't assume whether all diagrams can be cocompleted to a colimit diagram, either in and in . I am only saying, the amount of colimit diagram are the same in and in .
Suppose is a faithful functor (no hom gets killed, hence no objects get killed), and suppose matches filtered colimit and finite limit on both sides (no add, no subtract), then finite limit and filtered colimit in commute. Application: is hte abelian group of -module. Indeed, when I think of filtered colimit and limit of an R-module, I think of hte underlying set.
Finite colimit of compact object is compact. Because say is a filtered colimit over , and is a finite colimit over , and we have , , we want to know in the middle, I used the fact that is a set.
A module over a ring is compact, if and only if it is finitely presented. I can understand finite generation, but don't understand finite presentation. Let me show that such thing are compact. First, is the same as forgetful functor to abelian group. it is the right-adjoint to Free. is projective. I want to say it commutes with all colimit. finite colimit of compact is compact, hence finite presented is compact. Finally, why every compact is of this form? Can we say, finitely presented sub-objects? Suppose we fix the set of generators, and we increase the amount of relations. The thing with less relations maps to the thing with more relations. So, we can look at the sub-category of finitely presented modules, and look for morphisims that map to this given compact guy. all possible such morphisms. these guys forms a filtered colimit. We know, compact guy is a filtered colimit of the fin-pres guys, so we can take the identity morphism. So, this morphism shows up at certain point of the , so we can obtain as a finite exact truncation of .
what is a reflexive pair? think of two deformation retraction of , where . ok, it is what it is.
What does co-equalizer mean? Can we say is the co-equalizer, since everything maps to ? well, but how does map to , we had two candidate. We need to quotient a bit. again, let's use lines to link the points, then we take the connected component. check 1, it is canonical. yes, this reflexive pair does not add any new arrow. it just witness the fact that, each point in B is hit by at least one red and one green lines, and there exists a choice of blue lines in reverse direction that revert both red and green.
L3
Barr-Beck.
Monad. A monad in , is an endofunctor with some extra data satisfying some conditions. monad needs a unit and a composition. An endfunctor tells you how to move objects and morphism in a category, so that composition and stuff doesn't break. A natural transformation between and a endo , gives a bridge( could be 0), such that for each object is a bridge, and we have many many commutative squares.
Usually, you give me an adjunction pair , we get a monad acting on , and we can ask, can we reconstruct using as a ? We view as some weak guy, and we view having these extra data (monad action) constraint what objects you can use.
Sometimes, the dream fails. For examples . Then can fail to be conservative, i.e. does not match isomorphisms, it can sends non-isomorphic bijection to bijection which is isom on Set.
What's the crude Barr-Beck? It says, if you have an adjuction like and constructed the monad , then if two conditions are satisfied, then the comparison morphisms is an equivalence. One condition is really easy to check: reflect isomorphism; the other condition is harder, D admits reflexive co-equalizer (like admits colimit), and preserves reflexive coequalier (like preserves cokernel)
Here is the weirdest definition in the world: split coequalizer. I bearly understand reflexive pair, and its coequalizer; now I need to do a new one. We see a parallel morphism $X_1 \rightrightarrow X_0$ split, if there exists coequalizer , and arrows . Such that