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01:25
@BenSteffan @Thorgott I had this brilliant idea to ask this question. What, in your opinion, would be like this ideal way to learn algebraic topology to the point that you are experienced enough that you can further branch off in some direction. I'm not asking because I want to learn algebraic topology, but I know that there exist books such as Hatcher, Spanier, Dieck and so on, and I am curious what path would a student have to take
Picking up one of the standard texts and working through it as about the best you can do.
There's a question of how well this really prepares you for "branching off" in some direction, but there is a relatively standard "core" that's contained in these books that forms the bedrock of everything.
For a better preparation there's a few more standard topics that these books don't really treat, like the Serre spectral sequence and theory of bundles and characteristic classes.
I wish I had a better answer to that question
yeah, me too
there certainly remains a gap even if you know all of these things, and the gap can be quite large depending on what direction you go
gap in what sense, between basics and things that are more advanced?
Yes. Gap in the sense of "the standard resources for a given field may assume you're familiar with more than this teaches you"
if there are standard resources to begin with
01:39
it's a somewhat disparate field and for a lot of things, I feel like there is not a single reference that explains them optimally
like, if someone comes up to me and asks me how to understand the theory of classifying spaces and bundles, I will tell them to read
-Mitchell's notes to understand how to work with them
-tom Dieck's book for the optimal construction, but this should really be phrased in terms of simplicial spaces for which I will further refer you to a book of May and a paper of Segal
-Milnor's paper for the original construction, another paper of tom Dieck for its relation to other constructions and May's book for the bar resolution construction (which doesn't always work)
Sounds like there is room open for a new book about algebraic topology then, if anyone wants to take up this challenge
A book that's several thousand pages long
Or several new standard texts
The latter would definitely be good
@BenSteffan Friedl has you covered :)
The lecture notes from 3-manifolds this term actually cited Friedl for something
first time I've seen anybody do that
But yeah, my kingdom for a good standard reference for stable homotopy theory
oh, I remember I wanted to read Friedl's notes from topology. But I stick to more set-theoretic things (at least for now)
01:48
One that's not 50 years old like the blue book
I didn't actually know he was somewhat famous
The notes are famous for being, well, long
how many pages is it now? 4000+?
that's his only claim to fame afaik
I'm not sure if I'm looking at the latest version, but the one from topology has 3,700 pages
well, something on that order of magnitude
I saw a paper of Friedl referenced recently
@BenSteffan isn't that what Higher Algebra is :^)
01:57
@Thorgott I wish I could say you were wrong...
there is uncertainty as to where one should draw the dividing line between higher algebra (as in the field, not the book) and stable homotopy theory
that's perhaps one thing that's keeping people from writing books, given how terrible the higher algebra side of things is
 
1 hour later…
03:25
It turns out that the uniformization stuff I said before here is total bullshit.
I thought the uniformization does not hold in general surface but only for compact Riemann surface (or surface with finitely many punctures)
The misunderstanding is based on the fact that the proof I saw uses some PDE method involving the integral over the given surface.
04:08
The problem with the Riemann Roch theorem is that it only counts meromorphic functions with the prescribed poles in "at most" sense. It really doesn't tell how many meromorphic functions actually exist.
 
2 hours later…
05:40
If anyone's currently lurking, the spam wave has splashed over to Math.SE. Please consider visiting the main site and casting a few spam flags. Your assistance will be appreciated.
Don't bother downvoting or close voting. Spam flags automatically cast a downvote, and if a post gets enough spam flags, the post is automatically deleted
I just flagged one post and it disappeared immediately
Yep. I think it takes 4 flags to delete. It used to be 6, but they dropped it a little while ago because the network's been getting severely hit by spammers.
06:00
i'm a little confused. i just checked main and i see a lot of low quality posts from new accounts, but not 'spam' per se in the sense of the spam flag (described as "Exists only to promote a product or service, does not disclose the author's affiliation"). am i missing something?
i.e. if something appears to be a chatterbot that is just posting garbage, is spam the right flag for that? is there actual spam (in the sense of the flag description) also appearing on main?
06:15
There was actual spam on the main. The post is not about math but some strange mail something.
I didn't flag for low quality question posts.
ah, ok. some of it must be being deleted so fast i'm not seeing it
There's a lot of airline-related spam. For examples, take a look at superuser.com & serverfault.com which are the current main targets.
@leslietownes If it's just garbage (like cat walking on keyboard random text), flag it as rude / abusive.
The system treats R/A & spam flags as almost the same, so 4 of either delete the post. But spammers get an extra penalty, and added to the spammer database.
Posting spam incurs a -100 rep penalty. But of course that's irrelevant to these 1 rep spammers.
Here's an example
-5
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06:49
i was just wondering how to change my ticket on expedia, thanks!
also thanks for that info re flagging :)
07:01
Fun fact: Most spam removal on the network is done by users. The Stack Exchange system software does have some spam monitoring and automated removal capability, but most of the work is done by the community. See charcoal-se.org
Normally, most spam gets detected and deleted fairly quickly. But we've had a bit of a spike this month. metasmoke.erwaysoftware.com/graphs
 
7 hours later…
14:20
34
Q: H-principle and PDE's

PawelAccording to Wikipedia: "In mathematics, the homotopy principle (or h-principle) is a very general way to solve partial differential equations (PDEs), and more generally partial differential relations (PDRs)". I'd like to know if h-principle and theory from M. Gromov's "Partial Differential Rela...

Interesting work
14:59
I may have asked something similar before, but just out of curiosity, from which book did you'all learn linear algebra from? Would you recommend the book you learnt from? Second, do you think a treatment of determinants like in Axler's book is pedagogically sound (i.e. putting them in the very last chapter and not really using them as a means to prove some of the theorems in a second course in linear algebra)?
Side note; I'm not very familiar with Axler's treatment as a whole, so my claim that he is not really using them may be inaccurate. I'm only familiar with his formatting really :) and I think it is different from other math texts to say the least.
15:14
I learned from Friedberg et al. and Hoffman Kunze. Imo LA is not something to worry much about how to learn it, just learn it and move on.
@SoumikMukherjee ok 👍 thanks for sharing. How much of these books did you read?
Like did you read the full book or just some chapters?
15:28
@SoumikMukherjee which edition of Friedberg et al.? :) they have a couple of editions
16:26
@psie axler is amazing imo
 
1 hour later…
17:35
psie to your second point it depends on the purpose of the study but generally i think axler's approach is pedagogically fine (i think the amount of material about matrices, which was initially almost nothing, has varied slightly in subsequent editions). also pedagogically fine to have a book which uses determinants left right and center and nobody knows abstract linear algebra
i mean, if at some point the goal is to develop a working understanding of some body of thematic material, and not to prepare for or pass some test that covers specific techniques, then the techniques you use to approach that material basically don't matter
at the extremes, you might end up with a limited perspective if you studied linear algebra without ever learning much that matrix computations exist, or if you studied linear algebra and never learned how to handle anything outside of a matrix computation framework, but i don't think any of the well known textbooks, like, force their readers into that kind of mindset
axler specifically is written for a [maybe USA-specific] context where it can be safely assumed that most students using his book [in a US university classroom] have had a class on matrix calculation already
ie he's not assuming that his audience would only ever learn linear algebra from that book
18:06
@psie most of them, but not like start to finish
@psie 4th
18:25
alright, thanks for the comments
19:21
several times in grad school, i heard people making jokes to the effect of, the more "elite" the undergrad institution you went to, the less likely you were to be able to do any matrix calculations :) nothing to do with axler specifically (not as popular of a textbook when it was new, and not enough of a 'pure algebra' book to reflect the backgrounds of these people)
what's a matrix? :(
The answer is out there, Ben. It's looking for you, and it will find you if you want it to
yeah, nobody can be told what the matrix is, you have to experience it for yourself
that sounds like a threat
the matrix is not flesh. not yet
 
3 hours later…
22:31
I struggle with understanding the assumptions of the converse with what Rudin has established prior to this theorem. Why does it suffice to consider $m=1$? Nowhere has he proven yet that $f:\mathbb R^n\to\mathbb R^m$ is differentiable iff each of its components are. I think this is key in his assumption in this theorem, or?
He does have a statement concerning the continuity of a parameter dependent matrix; it's continuous iff its entries are.
But we need to know that $f:\mathbb R^n\to\mathbb R^m$ is differentiable iff each of its components are first, then we can apply the statement about parameter dependent matrices and continuity.
He has introduced the Jacobian matrix. I don't know if that counts as proving that statement which I'm after.

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