#book-recommendations

1 messages · Page 236 of 1

queen rampart
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I see

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well I don't, but I should

narrow talon
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Which leads to a lot more flexibility in Bayesian setting, but on the flip side a lot stays theory because implementation is harder

queen rampart
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I don't like stuff with numbers

smoky surge
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What do u mean by constant?

narrow talon
# queen rampart well I don't, but I should

In frequentist setting theta is just a parameter controlling a family of distributions. But in the Bayesian setting you’re trying to find a distribution over the parameter space and then make point estimates with that distribution over parameters

queen rampart
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ooooh

narrow talon
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Often times the mean, but not always

queen rampart
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frequentist: param -> distribution(s)
bayesian: distribution -> params -> distribution(s)

narrow talon
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Mode is another common one, or you ever hear of MAP that’s all it is, the mode of your distribution over params

queen rampart
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moist-ass p-word?

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uh, I'm guess MAP is akin to maximal likelihood estimations

narrow talon
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So prior/posterior refer to the distribution over the parameters and the prior can be constructed based on domain knowledge

narrow talon
queen rampart
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up to isomorphism

narrow talon
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(Maximum A Posteriori Estimation)

queen rampart
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I've heard all those words independently, yus

narrow talon
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Basically, the maximally occurring value of the distribution on the parameters after updating that distribution based on data is the estimate that we take

queen rampart
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yep

narrow talon
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The updated distribution is the posterior distribution, hence MAP

queen rampart
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ty

narrow talon
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A ton of current research (at least at NYU) is on Bayesian ML since it's becoming computationally feasible

queen rampart
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most of the stuff my friends did was applied

narrow talon
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It's also got a ton of really weird people who get a bit too obsessed with the philosophy of Bayesian statistics

queen rampart
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someone did matrix factorisation, a bunch on cascade learning, etc

narrow talon
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Gross

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One day I'll learn more about Bayesian nonparametrics, maybe this summer

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Van der Vaart has a book on it, seems up my alley

wooden sparrow
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Hey, Ted recommend me LA by friedberg. Do you have any more suggestions to study LA from?

narrow talon
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Peter Lax, Linear Algebra

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for a second course*

queen rampart
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linear algebra done right is the go-to
heard a lot of people recommend hoffman and kunze for a harder one

narrow talon
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I don't love Hoffman and Kunze, so dry

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Says the person who will use Rudin till he dies

wooden sparrow
narrow talon
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Probably don't use Lax then. It's definitely geared towards a second course at the sophomore/senior level depending on your school

queen rampart
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oh, so is this a first attempt at LA?

narrow talon
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Straang Introduction to Linear Algebra is what to go with for a first pass imo

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It covers all the stuff you'll use all the time

queen rampart
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I couldn't vibe with strang, it was very...numerical focused?

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we will be solving systems of equations and we will be solving lots of them

narrow talon
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I think a numerical focus is good for LA, at least for a first course. Gotta be able to deal with a shit ton of numbers in a matrix pretty often

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And makes it really nice to work through problems concretely

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But if your vibe is keeping things super abstract then maybe not, I just like working through explicit computations to get a feel for things

restive raptor
# narrow talon I don't love Hoffman and Kunze, so dry

I foudn Hoffman and Kunze was a good supplement for (parts of) a second course in linalg, because I could get intuition and big ideas from lecture, and they present the nitty-gritty well. I do not recommend it for self study with no other resources

narrow talon
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I just think it's boring haha! To each their own

restive raptor
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I mean yeah that's why I don't recommend it for self study

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but if you just want to see a specific proof of a specific theorem you saw in lecture and nothing else, the boring aspect doesn't matter if the proof is good

narrow talon
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I'mma go through all the problems in big Rudin (both halves) this summer if anyone feels like joining

restive raptor
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that sounds hellish

wooden sparrow
restive raptor
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gl

queen rampart
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I would, but alas my analysis probably isn't up to snuff

queen rampart
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I love 3b1b's LA series but if you want something more meaty

wooden sparrow
restive raptor
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my profs course notes for analysis already had a ton of fantastic problems so I don't feel the need to do that, but it'll probably be a fantastic exercise

queen rampart
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depends why you're doing LA

wooden sparrow
restive raptor
queen rampart
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so you're looking more at vector spaces over arbitrary fields

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rather than systems of linear equations

willow pecan
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Lol Axler is something

restive raptor
willow pecan
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It's fine if you don't care about either determinants or characteristic polynomials

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And those are important

queen rampart
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then just read linear algebra done wrong at the same time

wooden sparrow
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Yeahh. Friedberg starts with vector spaces

queen rampart
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LADR leaves determinants to the final? chapter

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and the first 3 or 4 are just going through abstract bases and subspaces and whatnot

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whereas LADW's first chapter is on determinants

willow pecan
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Sure but because it has determinants at the end everything that depends on characteristic polynomials is also messed up

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And it's like

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I don't know

restive raptor
willow pecan
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I don't get the dislike for determinants

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And they are useful throughout linear algebra

broken meadow
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wait people dont like determinants?

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why

willow pecan
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Axler doesn't

wooden sparrow
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There are two books where one is done right and other wrong? hmmm

broken meadow
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they don't seem that bad... why is determinant bad

willow pecan
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Determinants are wonderful

narrow talon
queen rampart
broken meadow
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yeah i thought reading about them in friedberg was cool

queen rampart
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because, as you can see, people got angry that axler didn't cover determinants much

restive raptor
# broken meadow they don't seem that bad... why is determinant bad

copy pasted from LADR:

The audacious title of this book deserves an explanation. Almost
all linear algebra books use determinants to prove that every linear operator on a finite-dimensional complex vector space has an eigenvalue.
Determinants are difficult, nonintuitive, and often defined without motivation. To prove the theorem about existence of eigenvalues on complex vector spaces, most books must define determinants, prove that a
linear map is not invertible if and only if its determinant equals 0, and
then define the characteristic polynomial. This tortuous (torturous?)
path gives students little feeling for why eigenvalues must exist.
In contrast, the simple determinant-free proofs presented here offer more insight. Once determinants have been banished to the end
of the book, a new route opens to the main goal of linear algebra—
understanding the structure of linear operators.

queen rampart
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maybe my linalg knowledge is showing its holes..but I've never found something that properly unified solving systems of equations and the whole abstract nonsense

narrow talon
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I think abstraction and big idea is just generally a bit easier to understand. Being able to translate to concrete examples is surprisingly hard and worthwhile

queen rampart
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everything did 1 or 2 but never 1->2 or 2->1

willow pecan
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Oh please

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Axler's breath takingly (melo?)dramatic exposition serves to help no one

restive raptor
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and good exercises will also encourage that

sage python
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See I get what Axler doesn't like

restive raptor
sage python
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Because students think of determinants not with multilinearity

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But as take a matrix crunch them numbers

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And obviously proving big ideas using an object that sounds to you like pure number crunching is fully unenlightening

willow pecan
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Determinant = product of the eigenvalues

broken meadow
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as for invertability and stuff i always had rank nullity and stuff

sage python
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But the problem is that there is an excellent conceptual description of the determinant

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Multilinearity

broken meadow
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but i guess i understand what axler is saying about the eigenvalues stuff

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i don't really get eigenvalues and whatnot with the determinants so hmm

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i guess i will have to take a closer look at determinants one day

queen rampart
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I was always ever taught determinants as a number to calculate

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never any theory behind them

willow pecan
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Diagonalize a matrix with a unitary one

sage python
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Metal Catto when it's time for you to learn determinants let me know and I'll teach you how to think about them properly

willow pecan
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$A=U\Lambda U^*$

hasty eagleBOT
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星雄

restive raptor
willow pecan
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And then determinant is multiplicative

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And unitary matrices have determinant 1

queen rampart
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and I am very sad that's how I got taught them

willow pecan
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And lambda is the diagonal matrix of eigenvalues

sage python
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But yeah so Axler looks at a problem, namely that determinants are taught as number crunching

queen rampart
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because I did them at a-level, then nothing for 7, 8 years

sage python
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And are then used to prove conceptual things

queen rampart
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and then I needed to start trying to compute with determinants as measures of volumes of transformations in my phd, and I was just....completely lost

broken meadow
sage python
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His solution is to nix determinants altogether

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Rather than... teach them correctly

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He also I think is kind of a "pure functional analyst"

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Which is where he gets the incredibly misguided idea that the only place in undergrad math where determinants are useful is change of variables in integration

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metal alright so, this week I might be busy

restive raptor
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I personally really enjoyed and (I think) benefited from his approach, but you're probably right, teaching determinants the right way is a good way to do it as well

sage python
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But unironically pester me in about a week

restive raptor
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there was an r/math thread about this recently

broken meadow
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oh alright i will then

broken meadow
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ty daminark

sage python
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And I'll teach you multilinear algebra

broken meadow
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niceee

sage python
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Yeah so that's the correct answer Nicholas

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You just teach students exterior products

restive raptor
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I didn't see exterior products in either of my linalg courses. The second was supposed to teach it, but we fell behind schedule during the pandemic and so didn't get to it

queen rampart
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is it weird that I've never seen multilinear algebra, exterior products, etc mentinoed in linalg

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only in other fields

sage python
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It's not weird but it's unfortunate

restive raptor
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I came across them in diffgeo

sage python
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I think linear algebra classes should just amp it up and teach multilinear stuff

restive raptor
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and then again now in fulton and harris, so I've been learning more and more about them

queen rampart
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yeah, I saw them in tu's introduction to manifolds

sage python
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Rather than spending n weeks on Gaussian elimination

queen rampart
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and in seemingly every not-basics abstract algebra text

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and in penrose's road to reality, a book almost a decade later I've still not managed to understand past chapter 10 kekw

restive raptor
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@sage python My intro to linalg course basically followed axler and I really liked it. I wish linalg 2 had done multilinear algebras though

sage python
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So, I learned it a bit funny

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I had a class summer after first year which did a mix of linear algebra and graph theory

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And it covered a fair bit. It was 3 weeks of linear algebra but 2 and a half hours a day, 5 days a week

restive raptor
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wow that is a lot

sage python
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There we did cover determinants more computationally

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Or not computationally but

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Our definition of the determinant was in terms of rook formations and all that

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Thing is we mostly focused on it being multiplicative, alternating, multilinear

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And overall I don't remember getting the sense that a lot of stuff we did was especially unenlightening

narrow talon
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Whole ass I’m grading linear algebra right now

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And there are people who think that the column space

sage python
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Now that fall I took analysis, and first quarter of that class exempts you from the linear algebra requirement

narrow talon
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Of a rank 3 matrix

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Is a number

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So chill on multi linear

sage python
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Students who think that way will fail lol

narrow talon
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People are worried about other stuff

sage python
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And so they should if they're not good at linear algebra

restive raptor
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My school has 4 versions of linalg; one for engineers, one for science, one for math majors, and an advanced one for math majors

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I feel like the advanced one could do multilinear algebra

sage python
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Yeah I mean obviously engineering students don't need to worry about multilinear stuff

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But I'm fine with requiring that if math students are gonna succeed they better know their shit

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@gray gazelle yeah so the "irl work" kinda has to be done somewhere, it's a matter of packaging. The problem is more when you only do number bashing and start proving significant things

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Like oh linear endomorphisms of C^n have eigenvalues because beep boop boop beep this is 0

restive raptor
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and yeah oh my god some of the stuff you see in an intro linalg course - some of my friends graded the not advanced one and 💀 my god

sage python
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No but if that's how French people do it I respect it

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America's way too chill about letting students be bitches

queen rampart
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nah the french just surrender

willow pecan
narrow talon
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Yeah pretty much

queen rampart
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american mathematics education seems so far behind everywhere else

narrow talon
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Older French profs at least complain about how everyone else knows jack shit

queen rampart
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I was doing 2nd order diff eqs at 16 and americans are doing pre-calc in university???

sage python
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I mean eh I'm fine with people being behind in a way

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Thing is you have to separate different types of problems

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One problem the US has is that funding for K-12 schools is largely based on property taxes

narrow talon
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Bruh I hated math until 17

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Err, 16

sage python
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So like if you grow up in the wrong neighborhood your education is crap

narrow talon
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^

sage python
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I think the right angle for good college to get at is

queen rampart
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that's the least of the problems with america

sage python
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Honestly it's arguably the biggest

queen rampart
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no I think america has bigger problems than how they teach determinants

sage python
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If you fix the problem of funding being garbage most of the time

narrow talon
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Literally my education would’ve been entirely different if I lived 20 miles south

sage python
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Oh I thought you meant funding isn't the problem

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And I'm like lol

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But yeah so my overall take is that

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College is kind of a separate beast from K-12 but it does get students who came from K-12

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So you have a weird balancing act where it's like

willow pecan
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Coordinates are underrated

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And I don't get why people hate on them

sage python
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You simultaneously don't wanna shit on students who went to underfunded schools

restive raptor
# restive raptor and yeah oh my god some of the stuff you see in an intro linalg course - some of...

one of my favourites is there was a problem like
"Show if u and v are nonzero vectors so that u is not a scalar multiple v, then u is not in the span of (u + v, 2u + 2v)."

So many students wrote "span{(u + v), (2u + 2v)} is the set of all vectors in the form a(u + v) + 2b(u + v) = (a + 2b)(u + v), so the span is c_1(u + v) for all constants c_1 in R. If u were in this span, then for some scalar c_1, u = c_1(u + v), but you cannot get u from u + v so QED"

sage python
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But if someone's being a bitch they're being a bitch

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And you wanna have standards

restive raptor
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like students in linalg 1 often struggle with basic proofs, multilinear algebra is not a great idea unless it's an honours stream imo

sage python
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I think, definitely the good schools, should have an overall policy where...

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We expect you to be able to think

dapper root
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Nicholas I took an "advanced linear algebra" class

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which was an utter joke

sage python
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We don't expect you to have much background

dapper root
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I think that's where you should cover it

narrow talon
restive raptor
narrow talon
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At NYU at least

dapper root
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but also I think you should be teaching eg the tensor product to do multi linear stuff

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and imagining teaching the tensor product to the kids in my class is

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...

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D:

sage python
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So idk maybe I'm off here

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But I feel like the solution is

dapper root
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I just think schools don't have an actual hard linear algebra class

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which is a mistake

sage python
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Teach it and make it clear that they're expected to know it

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Their grade is on the line

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They'll figure it out

restive raptor
dapper root
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linalg 1 is mainly like

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engineers

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and cs students

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even my "advanced" one

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was primarily non-math majors

restive raptor
dapper root
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yeah :/

narrow talon
restive raptor
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at my school as mentioend there are 4 linalg; eng, science, math, advanced for math

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What did your advanced linalg cover chmonkey?

dapper root
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pfffft

narrow talon
dapper root
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we did like "abstract" linear alg

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which meant

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we can't say field

narrow talon
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All of Straang and like half of Lax

dapper root
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but we define one and put it in that context

sage python
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Yeah Jason it's hard. Honestly the correct answer in the abstract is fix equity in early education

dapper root
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since I think the earlier Lin alg is basically just matrices and over R^n

sage python
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So everyone gets a decent quality education early on

dapper root
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then uhhh, we covered some crap, i don't really remember man

sage python
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So by the time you're in college if you can't pull it off it's on you

dapper root
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we did cover some canonical forms

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and like eigenbases but

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It was a waste of time, and I slept in it lol

restive raptor
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yeah that sounds about like mine except we used the word field

sage python
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UChicago's got an honestly decent strat for that

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There's math for econ and math for physical sciences

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They cover linear algebra whenever they cover it

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And then if you're in the math track you learn proofs in calculus, before you touch linear algebra

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So you either do abstract linear algebra, which tbf doesn't cover multilinear algebra either but it's only a 10 week course so I kinda forgive that

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Or you do honors analysis which is basically "swim bitch"

restive raptor
# sage python And then if you're in the math track you learn proofs in calculus, before you to...

yep! that's the same at my school. our calculus 1 has proofs, and we also have a course called "intro to algebra" which covers like basic proofs and number theory. Both of those also have advanced versions; advanced calculus 1 is basically analysis, advanced intro to algebra is either a deep dive into some algebraic number theory, a mix of abstract algebra and number theory, a mix of set theory, abstract algebra and number theory, or something else

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linalg is taken in the second semester after you've done both of those

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so you should know how to write a good proof

narrow talon
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I'm really not so sure. I really disliked math courses even after coming to do mathematic but went for it because I knew independent of courses that I was passionate about it. But if I was on the fence and faced with sink or swim, especially through LinAl or analysis, I'd fucking dip and then there's even less people funding the math department

restive raptor
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idk, my school kinda has "sink or swim" courses and our math faculty has like 8000 students

sage python
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I guess in my mind funding for the math department shouldn't be tied to the enrollment in a way that losing one student influences your ability to do anything other than teach that one student

restive raptor
narrow talon
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I still want to have a linear algebra course which teaches Lie groups

restive raptor
sage python
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Like that's the thing, obviously math department can offer courses to students in other majors

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And in a service course you're teaching to their terms rather than your own

narrow talon
restive raptor
sage python
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Canada works differently from the US overall, though US has a lot of variation

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Well Jason in the thing I outlined above there were options for math for engineers

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And that class sure you teach it to the demands of engineers

narrow talon
sage python
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But what I think shouldn't be the case is that math feels the need not to teach its courses on its terms because of funding you know? Obviously if you turn everyone away that's sus

restive raptor
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Sure but that just doesn't apply

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like, here the math majors take 0 courses in common with engineering majors

sage python
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But like, in principle what should be the case is

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Yeah what Nicholas is talking about is what should be the case

restive raptor
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we have 5 different versions of calc 1

sage python
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Nicholas is in Canada

restive raptor
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sure but most of the courses taken in the math faculty are by math faculty students

sage python
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But yeah let me clarify how I think it should be

narrow talon
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I'm really not so sure if they should be so independent. I suppose I lean about as applied as any pure math person can, but I honestly wish I was required to take more engineering and physics courses to supplement my courses.

sage python
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There's some set of "Math for not math people"

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And it's taught to their needs

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And then there's math for math people

narrow talon
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I guess that I would lean towards the way MIT does it, having different tracks for different types of math people

restive raptor
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no, math faculty offers calculus courses for eng students, but 'm saying that's not where the funding comes from

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the funding comes from the 8000 students enrolled in the math faculty who take math faculty courses for all n years of their degree

sage python
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And if you're in a math for math people class then I'm fine with saying

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Yeah we've got standards if you don't like it you can walk right out

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Nick are you mixing between the different campuses?

restive raptor
sage python
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I think UT has 3 of them right?

restive raptor
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waterloo has only one campus

sage python
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Oh

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How big is Waterloo overall?

restive raptor
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38k students

sage python
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I guess Waterloo is more specialized math/science right? And it's huge apparently lol

restive raptor
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we have 8k math students, 10k eng students and 6k sci students

sage python
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Yeah, UChicago is a weird special case because math is actually the second biggest major after economics lol

restive raptor
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also it should be noted that here, CS is under the math faculty

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about 2500 CS students in total - wait no this year there are suddenly 3000 lol

sage python
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That's very few given Waterloo's CS rep

restive raptor
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it's selective

sage python
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Gotcha

restive raptor
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there are 4648 undergraduate students in math but not CS right now

narrow talon
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CS has taken over in the US it seems

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God I hate “cs math”

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Like, cs people approach math differently and it’s terrible

restive raptor
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our CS students need to take the courses that the math majors take

narrow talon
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I’m talking advanced course

narrow talon
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Data science courses that I’m in are run primarily by cs faculty and their math can be so confusing

gray gazelle
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UC Hicago

narrow talon
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Not terrible in a legitimately bad sort of way, terrible in a I don’t understand the difference in notation and goals sort of way

restive raptor
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@gray gazelle I realized I accidentally counted grad students too; the updated numbers are 7475 students in the math faculty, and 4648 undergraduate math students who are not CS students

narrow talon
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My good DS prof uses completely different notation and focuses on aspects which I would find unimportant in a math class

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My bad DS prof is incomprehensible

sage python
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Yeah Waterloo seems actually quality unlike a lot of American schools

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Speaking of data science I need to do a few hours of Python prep for a data science thing starting tomorrow

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And I'm so lazy lol

narrow talon
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What data science thing?

restive raptor
narrow talon
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I have to program a NN from scratch this week, it’s not that bad but OOP is weird to me still

sage python
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Erdos Institute, they're doing a data science bootcamp

narrow talon
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Oh cool, is it intro DS or ML stuff?

sage python
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I think it's fairly introductory?

gray gazelle
sage python
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Nah I was thinking relative to generic tbh

restive raptor
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idk waterloo created a dedicated math faculty a while ago, like back in the 60's, so it's had a long time to grow

sage python
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US is very top heavy

narrow talon
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I can see myself doing research in ML, some potential theoretic deep learning like Grant Rotskoff or Eric Vanden rings Fien much

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Lol autocorrect

sage python
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Or I mean idk what I find in the US is this

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You have the top schools and the top big public schools

restive raptor
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also for buncho I counted our number of students at one point

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30 profs and 2 lecturers in applied math
28 profs and 3 lecturers in pure math
54 profs and 9 lecturers in stats and actuarial science
33 profs/lecturers in combinatorics and optimization, breakdown is not listed, everyone is just called "faculty"
89 profs and 21 lecturers in computer science

sage python
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And they're all quite good

narrow talon
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Jesus, that’s insane

sage python
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Oh stats also counts as math

narrow talon
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NYU is ranked #1 in applied math and has like, a quarter of the profs in total

sage python
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Okay yeah that makes the skew less surprising to me lol

queen rampart
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and then you look at the UK and the current news is that a bunch of unis are completely removing their mathematics departments and making everyone redundant

sage python
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I was still a bit surprised that math is so much higher than CS lol

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A bunch? I only knew of one

queen rampart
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leicester, uh

sage python
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But yeah so what I was saying about the US is

restive raptor
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@sage python if you remove stats and actuarial science, there are still 3807 math students, but lots of first years probably just haven't declared yet

sage python
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You have all the really really good public schools

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And obviously you have the top of the line places

prisma snow
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Goodbye, you're french now

sage python
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Those are all good. Like the good math students have great acceleration opportunities

restive raptor
queen rampart
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I wish I could go back 8 eyars and do pure maths

sage python
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And overall there's a sentiment that within reason you gotta carry your weight and actually work

queen rampart
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and do a phd in abstract bullshite

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so abstract even nlab doesn't know what I'm talking about

restive raptor
queen rampart
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putting mochizuki to shame

sage python
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I think it's less tough than people make it out to be, I remembered commenting to my calc students the other day that As are basically free at Harvard and they were quite surprised

gray gazelle
sage python
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Nicholas that sounds about right tbh

queen rampart
restive raptor
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like U(t) and Waterloo CS and math feel a lot like Berkeley from what I've seen and what I see about course material and graduate job placement

sage python
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Like I vaguely have Toronto in mind as having similar quality to Michigan

queen rampart
#

but it's having to be a hobby thing.

prisma snow
#

How old are you Kitty and what's your math background? Just curious, you don't have to say

gray gazelle
queen rampart
#

uh, is this predominantly US-ian?

prisma snow
#

And do you prefer Pretty, Princess or Kitty. I hope not Princess because I'm not calling you that lol.

gray gazelle
queen rampart
#

PPK, kitty, sloot, avery - any of the above work

prisma snow
#

Cool

sage python
#

My idea of quality is like, good training of students and good research being done

#

I say training instead of teaching because I don't wanna comment on pedagogical practices

gray gazelle
queen rampart
#

yeah if you want lmao

sage python
#

So more like, do they send out people who are vaguely competent?

queen rampart
#

so I was a 'gifted' kid, I finished GCSE maths (age 16) at 14 and a-level maths and further maths at 16/17; did CS undergrad, then straight from bachelors into a phd in computational biology
so my maths was basically all numerical in school, then obviously you get thrown in with basic linalg proofs and natural deduction and plenty of discrete-ness in university, bits and bobs of stats to get a solid hold on ML

always wanted to learn maths "properly", I think I took out copies of spivak's calculus and axler's LADR from the uni library 6 or 7 times through my undergrad but because I felt I KNEW half the stuff already I would jump ahead and skip exercises and therefore get completely lost

and for the past month, I've tried for what seems like the 10th? 11th? time to "properly" do maths; it's far too late to e,g. rigorously do differential geometry for my phd (which would've been great) but I'd still love to be able to, as a hobby, understand all the theoretical underpinnings of black holes or what nLab talks about, for instance

restive raptor
queen rampart
#

that's kind of a wall of text so enjoy

sage python
#

That wasn't commenting on these schools lol

queen rampart
#

for some reason, this time around my reading what should be fairly elementary textbooks has stuck

sage python
#

It was responding to 8da on how I'm measuring quality

#

I also think Michigan grads tend to be solid lol

restive raptor
#

Yeah, I was confirming by that measure u(t) should be relatively high quality

#

I know nothing about Michigan other than they have a great eng program

sage python
#

Michigan in my mind is firmly top 10 math

restive raptor
#

ah ok

queen rampart
#

(if you want me to move to one of the discussion channels I'm happy to)

sage python
#

Lol yeah this is a book recommendation channel lmao

#

Anyone want a book rec?

ripe granite
#

me

#

gib book

sage python
#

Lmao lurking

#

Automorphic Forms and Representations by Bump

#

Also "The Spectrum of Hyperbolic Surfaces" by Bergeron

#

Bergeron talks a bit about QUE

glossy grove
ripe granite
#

no

sage python
#

Lmao

#

These are public notes

glossy grove
ripe granite
glossy grove
#

The EUsully

ripe granite
#

ewwwwww

sage python
#

Why would you unironically be European lmfaoooo

south ferry
#

lol, imagine piracy being illegal in your country

glossy grove
south ferry
#

on that note, what book would you recommend for multivariable analysis?

glossy grove
#

posts another pdf

queen rampart
#

it's either right at the end of analysis I or the start of analysis II

#

but he has some 150 pages on it

south ferry
#

hmmCat i opened it and i see physics

queen rampart
#

...zorich's mathematical analysis?

gray gazelle
#

hmmCat I thought you've done multivariable analysis.

south ferry
#

probably just the motivation

south ferry
gray gazelle
#

hmmCat Been there

south ferry
#

hmmCat numbers hard

glossy grove
queen rampart
#

oh, zorich definitely does motivation

#

he does a lot about error approximation in vol 1

#

and errors of sequences as approximations

glossy grove
queen rampart
#

yes

#

but there's a vol 2

gray gazelle
#

What do you want to cover? Personally I liked Spivak's Calculus on Manifolds, which is what you might need.

queen rampart
#

is calc on manifolds different to multivariable?

#

I thought it was like, multi-multivariable

south ferry
queen rampart
#

since we're talking book recs, here's what I'm currently thinking of plus topics I have no idea what to read for:
analysis - knapp
algebra - knapp, rotman
linear algebra - ??? I've read the first 4 chapters of axler like 5 times now please something else
model theory, computability, etc - ???
topology - lee and the category theory one too, maybe supplementing with willard? I cannot grok munkres
cat theory - riehl and the topology one
manifolds/diffgeom - lee again
please insert cool other areas that aren't stats or combinatorics - ???

prisma snow
#

Highly highly recommend Rotman for algebra and even more highly antirecommend D&F

queen rampart
#

haha, I think I said this earlier but I've drunk a lot of vodka

#

D&F was the first algebra text I properly stuck with

#

fraleigh, artin, aluffi never stuck

#

and then I reached the point that D&F completely lost me and was awful

#

and many literal hours of reading book reviews later I settled on knapp followed by solidifying it with rotman

south ferry
#

We have tried hard to reduce the number of ε–δ arguments
i'm sold

prisma snow
#

Rotman covers rings before groups and makes some reference to groups in the rings section already. But it's not essential that you know groups to read it. It's just in the remarks that he comments and compares to group.

queen rampart
#

(I legit don't get why people call D&F dry or bad; everything up until normal subgroups was phenomenal, then their treatment of normal subgroups/isomorphism theorems/composition series is awful)

storm sleet
#

Wait Rotman has a general algebra book?

queen rampart
#

oh, when I say rotman I mean advanced modern algebra, not the UG one

prisma snow
#

I mean that one too

queen rampart
#

he covers groups first in that one

storm sleet
#

I’ve only seen Rotmans group theory book which I really liked

prisma snow
#

He does not in AMA

queen rampart
#

he has groups I and rings I and most of the proofs are just very brief

prisma snow
#

I am looking at the book right now and it covers rings first lol.

queen rampart
#

advanced modern algebra
ch1, things past

#

ch2 groups I

#

ch3 commutative rings I

prisma snow
#

What edition?

queen rampart
#

2

#

the one before he splits it into 2 books

prisma snow
#

Aj

#

Ah

#

I have the split 3rd edition

queen rampart
#

I have <deleted under copyright law>

prisma snow
#

Wonder why he changed the order

#

Anyway, it's great

queen rampart
#

there was a blog post that went into huge detail about basically every algebra text

#

and it said rotman was the best they've ever read by a mile

prisma snow
#

I agree. Based reviewer.

queen rampart
#

but yeah that's why I chose rotman, and it seems like knapp goes into encyclopedic detail so if I read it first in knapp, really cement what I first read in D&F before I abandoned it

#

then read rotman's very brief proofs

#

I'll be an expert

prisma snow
#

You could read the two together instead of one by one.

queen rampart
#

yeah that's the intention

#

they don't quite overlap

#

knapp has 2 heavy LA chapters before groups

prisma snow
#

Ah

#

You can skip around though to see how they cover the same topics though

queen rampart
#

some of the stuff rotman does in groups I, knapp doesn't do til groups II, after multilinear algebra etc

#

yeah I'm definitely mathematically mature enough to get by and jump around and whatnot

prisma snow
#

blob_yay okay, I sleep now. Please join the rotman faction here and overthrow DF

queen rampart
#

I should too

#

gnight!

south ferry
#

waves_FB night

queen rampart
#

justkidding I'm sticking around to provide judgment on a billion books I've read 3 chapters of each

sage python
#

Idk how good Rotman is tbh

#

I like Rotman's group theory

#

Like not the group theory section of his book but the group theory book

queen rampart
#

have you read rotman's advanced modern algebra

sage python
#

Nope

queen rampart
#

then...

prisma snow
#

I will tell you dami, good!

hearty steppe
#

I’ll look into Rotman as well thanks for the rec

sudden kindle
#

@sage python do you have a personal/academic website

queen rampart
sage python
#

Not yet, I probably will soon though

south ferry
queen rampart
#

yeah I've got 0 clue about complex anal

south ferry
#

i liked Complex analysis by Eberhard Freitag and Rolf Busam, but this channel likes ahlfors more i think

sudden kindle
#

Would you use google sites or wordpress?

ionic wren
#

Doesn’t Wordpress cost money

sage python
#

I had Google sites in mind

south ferry
#

not if you self-host

ionic wren
#

Forgot you can do that oof

sage python
#

Also check pinned messages where I gave my complex analysis book opinions lmao

sudden kindle
#

Oof I asked about websites in the wrong channel

south ferry
#

i like the Schlag description lol

queen rampart
sage python
#

Depends on how you're treating the complex analysis

#

I feel with complex analysis the more real analysis you know going in the more you can do

#

While the opposite won't really hold

#

So better to do real analysis first

queen rampart
#

oh yeah, for sure

#

I've just heard that complex is kinda disjoint from real

#

since it's holomorphic this and whatnot

gray gazelle
#

complex analysis deals only with constant functions

south ferry
#

lol

gray gazelle
#

id say that's a pretty big difference

ripe granite
#

you probably want to be familiar with a lot of the stuff introduced in a first real analysis class before you take complex

#

stuff about metric spaces (compactness, connectedness, etc.)

#

and some stuff on sequences of functions/function spaces

gray gazelle
#

holomorphic arzela ascoli moment

#

function space stuff played a huge role in my complex analysis class

ripe granite
#

oh yeah and you'll want some of the real anal integration thms too

#

so that you don't have to be monkaSing while switching integrals and limits

gray gazelle
#

"this is on a compact set and the convergence is uniform so it's ok"

quick hornet
#

tip for topology: whenever you cant justify a claim, just say "because f is continuous" or "because S is compact"

#

maybe "because S is hausdorff" if youre feeling spicy

#

works 99% of the time

south ferry
#

if i did topology exercises in latex "f from compact to hausdorff so f bar homeomorphism" would be a macro

gray gazelle
#

@glad prairie which analysis book do you recommend?

#

I saw so many.

#

for a cs student.

glad prairie
#

Personally I recommend Abbott's Understanding Analysis

willow pecan
#

@glad prairie which analysis book do you recommend?

#

I saw so many

dapper root
#

toxic

willow pecan
#

For a math student

glad prairie
#

What are you on about

willow pecan
#

It's fine we're friends

glad prairie
#

For you I recommend Rudin's functional analysis

willow pecan
glad prairie
#

Get to learning

#

How about Taylor's Noncommutative Harmonic Analysis

storm sleet
#

I second the rec for Abbot

#

Abbott is a nice, easy-going intro

willow pecan
storm sleet
#

I'm garbage at analysis and I still got an A in my course bc of it

gray gazelle
dapper root
#

In my intro analysis class someone sent me a pdf of that

#

and I didn't open it once

#

😸

glad prairie
#

Classification of irreducible unitary representations... Come on, you already did the whole theory of that on your 202B homework ange.

storm sleet
#

Its a nice book, but I plan to go through Rudin at some point too, just to make sure I can actually do the stuff

glad prairie
#

This NC HA book should be easy

willow pecan
#

What

storm sleet
#

But I remember nothing of sequences at all tbqh

willow pecan
#

Rieffel stopped teaching at the end

#

Because of Covid

glad prairie
#

Hilbert space Peter Weyl

gray gazelle
storm sleet
#

I would say you should have some supplemental content, as some of the proofs/descriptions of things get weird at points (particularly in chapter 5 or 6 if I recall), but the exercises are nice and get the job done

#

I'd say its better suited than something like Rudin from what I've heard, but definitely have supplemental material you can access

storm sleet
#

A lecturer Honestly I don't have any good references off-hand, I'm sure other people (like @glad prairie since they mentioned abbott) have some ideas

glad prairie
#

Maybe Pugh's Analysis book

#

Tterra will tell you it's irredeemable but I think as long as it's not your main source it's great for intuition and good exercises

dapper root
#

I've heard lots of ppl say Pugh was bad

willow pecan
static crest
broken meadow
#

literally just

#

shows a picture

#

and the proof is obvious

#

AND THEN PROOF 2 is the normal one

sage python
#

I feel like it depends on you a bit

#

If you think you've got what it takes powering through Rudin is the strat

#

Kriz has nice contents but someone said it's bad wrt typos

#

Pugh is awkward

#

Sally is typo city

#

And tbh that's what I know for intro analysis books lol. I guess Kolmogorov-Fomin if you're okay with weird terminology and slightly strange coverage

dapper root
#

Do Folland

#

Advanced Calculus

static crest
whole rain
karmic thorn
#

Tao's Analysis gud 😌

gray gazelle
#

oman

#

based

stray oyster
#

Does anybody have B.S.Grewal book for engineers

hasty turret
#

It's probably on libgen

remote ginkgo
#

rudin is the only good analysis book besides hardy

calm crane
#

s&s tho

remote ginkgo
#

no

narrow talon
#

More advanced than Rudin

remote ginkgo
#

my little blue indian edition with single ply seethrough pages will never be displaced

narrow talon
#

Wait little Rudin?

remote ginkgo
#

witto tiny babeh woodin

#

ye

#

smugsmug in response to the deleted post

queen rampart
narrow talon
#

Oh nvm then, Folland is not a good substitute for blue Rudin haha

queen rampart
#

bluedin

#

I'm looking forward to reading knapp because my god am I tired of analysis's neverending desire to do epsilon-delta sequence convergence

marble karma
#

Understanding analysis by abbott or principles of mathematical analysis which one is good for begginer?

quick hornet
#

rudin is famously difficult.

#

i dont have experience with abbott, but i'd wager it's more approachable than rudin

marble karma
#

What will you recommend for linear algebra?

broken meadow
#

friedberg linear algebra is chill and good

smoky surge
#

Axler slightlyembarrassed

karmic thorn
#

Friedberg is certainly more accessible imo.

#

If anyone is using Friedberg for study, you can complement it with Tao's 115A lecture notes.

queen hull
#

anyone know of a good algebra textbook with either great examples/historical context behind the stuff?

gray gazelle
#

at what level

queen hull
#

thanks I'll check it out

karmic thorn
#

Nothing gets close enough to you my brother. :todou:

modest dirge
#

Are there any good books to learn how to write and do proofs?

karmic thorn
hasty turret
#

I mean There's Velleman

karmic thorn
#

Some standard book recommendations for learning how to write proofs are Book of Proof(Hammack) and Velleman's book, don't remember what it is called. Although you could learn to write them in context.

hasty turret
#

But if you value your time, don't do it

#

.

#

Do this instead

inner token
#

Munkres or Mendelson for a first topology book?

gray gazelle
#

lee

vale granite
#

Topology without tears is what I prefer

#

Is Dummit Foote the best Abstract Alg book?

marble solar
#

no

vale granite
#

Is there any easier book? Like easier to read

sage python
#

No

marble solar
#

nO

sage python
#

Arguably Artin

marble solar
#

For easy to read

#

Pinter is hard to beat

sage python
#

But D&F is readable by anyone who's ready to be learning algebra tbh

vale granite
#

That was depressing to hear but thanks for your opinion

wooden sparrow
marble solar
sage python
#

I mean what's your background so far?

vale granite
#

Actually the G action part is where I get stuck the most

#

3rd year in Math

vale granite
sage python
#

G actions take a minute to wrap your head around

vale granite
#

I fear that part...absolutely

tribal gate
#

Any handout on polynomial for olympiad???

vale granite
#

Isn't there Titu Andreescu's book on Poly ? Ig so

vale granite
#

Sorry no poly books by him...my bad

#

But wait...

#

This book has everything

tribal gate
quick hornet
#

hey uh

#

please dont post pirated material

#

discord staff gets mad at us when you do

#

and i dont think the pdf is publicly freely available so

inner token
#

For a set A it that Mendelson book denotes the power set as 2^A. which irritates me slightly. so I think I'll pick up Munkres lol. Lee looks harder than what I need right now and I never studied cats yet. then again, no time like the present right?

quick hornet
crimson cipher
#

Any difference between Multiplicative number theory by Davenport & Multiplicative Number Theory I : Classical Theory by Montgomery and Vaughan?

#

they both seem to be similar so idk which to pick

inner token
#

It's not, I was just being a goof. But I did end up going munkres just by recs combined with a gut feeling

inner token
#

Yeah it is more illuminating just old habits sorta thing

still jay
#

I’m trying to choose a text to study for Abstract Algebra, the two I’m thinking about are Herstein’s Topics in Algebra and Jacobson’s Basic Algebra 1. What do you guys think of these? I’m also open to alternatives.

dapper root
#

The former is easier, but

#

Apparently it uses (x)f for what you normally see as f(x), for me personally that would sorta break it for me

#

What’s ur background and how hard would you want it?

#

Also read what’s here for an overview at a few texts

prisma snow
#

What an unbased list without Rotman

dapper root
#

It gets mentioned right below

#

Also people (like Lunasong here I think) will bitch at me for it, but I’m partial to Aluffi

#

Jacobson seems interesting, the amount of material it covers in vol 1 and 2 is more than any other of these general algebra books, Lang might beat it in some parts, but there’s also stuff on eg universal algebra, classification of rings (for central algebras or w/e)

#

that being said, I’ve heard the writing style can take some getting used to, and some people just don’t like it

#

At the end of the day tho, if you’re self-studying, I would find a book you enjoy. We can split hairs over what material is covered, things being too wordy, etc, but in my opinion the book that makes you want to read it is the best one

#

The material you’ll learn is gonna be similar enough for most of these, if you don’t need to know exactly these things because it’ll be on your final or w/e, find one you like IMO

still jay
#

Very true, thanks for the info. I suppose the one empirical factor would be background. I’ve done some real analysis, what I’m currently studying, and also have taken a computational LA course. Are there any texts I should stay away from with that said? Also I like to be challenged but that is second to the quality of the writing for me.

dapper root
#

What do you think constitutes quality writing?

#

Things that are terse, maybe leaves you to do a bit. Or things that are verbose, lots of examples

still jay
#

Clear motivation, well written exposition. Terse I would say, I don’t mind doing things myself, actually I prefer it.

dapper root
#

I guess the other thing is what do you want? Like one book you can just learn everything you’d have in say an avg graduate algebra class? Or like a nice introduction, without wanting it to be something you can have all your general algebra in?

#

In terms of writing, I’d steer away from D&F if you like terse things. I find it waaayyy too verbose. I like Aluffi’s writing, and a lot of people like it as well. I’d avoid Lang unless you already have a feel for algebra in like a linear algebra class that did it abstractly.

#

I haven’t personally seen a lot of the others, but Herstein seems like a good book potentially? Maybe Jacobson or Artin as well?

still jay
#

Yeah I’ll check those out, the best thing is probably to read some of each anyway and see what clicks. Thanks for the help.

prisma snow
#

Dw, I won't bitch about anything except DF

gray gazelle
#

If you shit on DF I will shit on you

livid ermine
dapper root
livid ermine
dapper root
#

@still jay I spent a while trying to find this

#

I’m glad I found it again, check this link

gray gazelle
livid ermine
#

based

#

so

#

do we fight to the death now?

gray gazelle
#

lol

livid ermine
#

meow

gray gazelle
#

perhaps

still jay
livid ermine
#

@gray gazelle @hushed sequoia wain pfp gang. which one of these are the best for a pfp?

gray gazelle
#

hmmm

#

i'd say third

livid ermine
queen rampart
#

herstein was good, but it does seem kinda short

#

I'm currently liking knapp, though it is quite heavy going. Not in a "prove this yourself" way, but it seems like he doesn't want to teach you half-assed

#

linear maps being over arbitrary bases

gray gazelle
#

lol

#

nice pfp godel

gray gazelle
#

Thanks.

gray gazelle
#

thank you yohan

sly thistle
#

Anyone here read diary of a wimpy kid hard luck

static crest
#

sully

quasi lintel
#

Do you know of any good books to teach myself algebra? One that clearly explain the reasoning behind why I do the math

karmic thorn
#

Algebra at what level?

static crest
#

d&f is a good intro to algebra

#

they cover polynomials extensively

#

and well

#

they even do exponentials and sinusoids!

quasi lintel
static crest
#

:^)

karmic thorn
#

Hmmm, something which explains reasoning at that level.

#

Have you tried books by AoPS?

quasi lintel
#

I've never heard of them

karmic thorn
#

Try out their algebra book. It goes into a bit more than what you might have covered, but it's written very cleanly, gives ample explanation/reasoning and has lots of problems.

hearty steppe
#

I might take a peek at D&F although I really like Pinter as well as Fraleigh

gray gazelle
#

allufi

ripe granite
#

just for the covers

sage python
#

@dapper root interesting site lol

storm sleet
#

similar to the topology book

queen rampart
#

I mean, I read into aluffi as far as groupds

#

I think I have a solid grasp of groups

#

I still found his talking about groups confusing

sage python
#

I don't think Aluffi is really a "category theory book", most of the content is algebra

#

I feel like there's a case for throwing in more category theory in first year algebra but I don't know if Aluffi does it right

queen rampart
#

yeah, I've heard repeatedly that it's a terrible book to learn category theory from

sage python
#

If you start off on the categorical side you wanna be clear what's actual content and what's just words

queen rampart
#

more good as a mathematically mature algebra book with some category stuff as a fresh approach

sage python
#

Like e.g. emphasizing that specifying a linear map arbitrarily on a basis is an example of free and forgetful functors being adjoint, but that you're not proving anything categorically here

queen rampart
#

I actually thought D&F was good, up until normal subgroups and the applications of isomorphism theorems

#

at which point, it was clear they were just stating theorems and not explaining anything

#

yeah this is what I heard too

static crest
#

thonk

#

that's easily the stupidest thing I've ever heard

#

the main criticism of d&f is that it explains too much

#

and goes on and on forever

#

lol @ it's not explaining anything

queen rampart
#

it did explain a hell of a lot more than artin or herstein

#

but it was explaining a lot because it covered a lot of stuff

static crest
#

it covers normal undergrad algebra topics?

queen rampart
#

it did not provide intuition or explanation for anything

static crest
#

the only textbook that goes any slower than d&f is gallian

queen rampart
#

ahem, fraleigh

static crest
#

which treats you if you're 5 years old

#

maximum

queen rampart
#

fraleigh acts like you've never read a book before

#

10/10 to D&F for covering literally every facet of, say, lagrange's theorem

#

-50/10 for giving a single reason why we care about normalisers or whatever

static crest
#

but fraleigh covers like the same content, in like fewer pages?

queen rampart
#

no?

sage python
#

I think the point Kitty's making, which is kinda correct

queen rampart
#

maybe because I read fraleigh in paper like a year ago and D&F on a tablet

sage python
#

Is that if you're not predisposed to understanding what's interesting about algebra or why it's important

queen rampart
#

I swear fraleigh gets 9 or 10 chapters deep before lagrange's theorem

static crest
#

I can understand that as a criticism, d&f does assume you already want to learn algebra

dapper root
#

The fuck

#

What in the shit do you do without Lagrange

sage python
#

D&F will do no work whatsoever in making it interesting

hearty steppe
#

i like Fraleigh but Fraleigh is very short

static crest
#

but saying "d&f doesn't explain anything" is just not right unless you literally just didn't read it

queen rampart
#

not because they've covered so much, more that they act like you're a blind 3 year old

sage python
#

D&F is a list of facts

static crest
#

while awake

queen rampart
sage python
#

Wait hold on I just realized

queen rampart
#

literally, "blah is called the normaliser of G"

static crest
#

well it does at some point

queen rampart
#

that's it

sage python
#

D&F is literally the definition of ELI5 algebra

static crest
#

it doesn't explain about normalizers in 2.2, where they're first introduced

queen rampart
#

no reason why we might make it, or use it, or need it, or why we construct it that way

static crest
#

it just gives the definition there

#

really

#

and goes next

sage python
#

But yeah this is why I say that if you want D&F but more motivated you use Artin

queen rampart
#

it starts going on about stuff being subgroups of the normaliser to prove stuff but that doesn't help

static crest
#

d&f is at least eli10

queen rampart
#

artin was alright but it didn't grab me?

sage python
#

Herstein is good at group theory, it's where I learned it

#

But I hear it's straight up deficient for the later topics

queen rampart
#

herstein made me understand cosets

#

it's taken literally 5 different books for that

sage python
#

Idk Gallian but my overall policy with D&F is that if someone's having trouble with D&F they're not ready to learn algebra

queen rampart
#

yes it's gN but that doesn't shed light on why

static crest
#

I agree dami

queen rampart
#

idk herstein made it click

static crest
#

I don't think d&f can make it any easier without just veering into gallian territory

#

(which is not good)

sage python
#

Yeah normal subgroups should be explained in terms of group homomorphisms lol

queen rampart
#

D&F made everything before normal groups click

static crest
#

it's just really fucking boring

#

to read

#

if you aren't already wanting to learn algebra

#

a lot

narrow echo
#

read Gallian

static crest
#

if you want to lose braincells

#

completed the sentence for you no need to thank me

wide meteor
#

beachy and blair is decent

queen rampart
#

I have not read gallian, but having read fraleigh, herstein, artin...I feel like if you need to go more basic than herstein or artin you need to consider a different topic

sage python
#

Yeah that's just correct lol

static crest
#

gallian is the most easy algebra textbook in all of existence

sage python
#

Herstein I remember liking for group theory but I heard he barely covers shit afterwards

static crest
#

it's physically impossible to make algebra more easier than gallian

#

it's just gallian is somehow even slower than d&f

#

and covers barely anything

sage python
#

And having to unlearn and relearn his multiplicatoin convention was a pain in the ass

queen rampart
#

currently reading Knapp and it's a lot harder than I expected

#

for a book called "basic algebra"

static crest
#

ignore textbook names

dapper root
#

Lmao

sage python
#

Weil Basic Number Theory

dapper root
#

Basic some word

wide meteor
#

anyone tried rotmans algebra book'

dapper root
#

Means nothing

sage python
#

How to make undergrads look like stupid little shits lol

dapper root
#

Jacobson calls his book basic algebra

queen rampart
dapper root
#

And it covers fucking universal algebra in vol 2

static crest
#

jacobson is a grad algebra tb right?

dapper root
#

Yeah, look at the topics it covers. Literally insane

wide meteor
#

im gonna pickup rotman

queen rampart
#

advanced modern algebra

wide meteor
static crest
#

maybe I'll look at jacobson

#

in the far future

queen rampart
#

wait

#

wrong blog post

sage python
#

Jacobson has two volumes

queen rampart
sage python
#

Volume 1 is fine as an intro if you know linear algebra going in

queen rampart
#

ever wanted like 3000 words on algebra textbooks, here you go

sage python
#

So it's a step up over Artin but it's not unreasonably hard

#

I already have a pinned post about algebra books

wide meteor
#

i dont like that artin has excersises at the end of chapters

dapper root
#

Wut

queen rampart
#

oh yeah I hate that

dapper root
#

Do you want them at the end of sections?

wide meteor
#

yes

queen rampart
static crest
#

well gallian is not worth talking about

dapper root
#

Okay on a different note

sage python
#

I talk about KNapp lol

static crest
#

other than to shit on it

dapper root
#

Why does everyone split so many hairs and try like 4 textbooks

sage python
#

And Fraleigh/Gallian are "algebra for people who really aren't ready to be learning algebra"

dapper root
#

Just pick one and then use it

gray gazelle
#

I need a nap

static crest
#

true

queen rampart
#

I can't see a comment about knapp

sage python
#

See the very last one lol

static crest
#

I learned like 90% of my algebra from d&f

queen rampart
#

just some author called "challenger approaching"

wide meteor
#

lmao

static crest
#

I just skimmed through like 4 textbooks, and picked one (d&f)

#

and stuck with it

sage python
#

Yeah idk Knapp very well lol

#

Basically I was looking for another book of his

queen rampart
#

and therefore I am validated in switching books

sage python
#

On semisimple groups

queen rampart
#

source: have tried like 8 algebra books and about 30 analysis books

wide meteor
#

yikes

sage python
#

And stumbled across that one since I thought maybe it was a chapter in his "advanced algebra" book

static crest
#

on a related note, I hit 550 pages in my d&f solutions

sage python
#

But I saw the contents and I was like dayum

static crest
#

the end is in sight though

sage python
#

ANd then realized it was the wrong book

queen rampart
#

okay maybe a little exaggerating

sage python
#

But I still decided to append it to the list since it looks good and it's free

#

My algebra path was like

#

I started D&F

#

Got bored

#

Checked out Artin

#

Was better but still kinda got bored

#

Or not really got bored but like

#

I was like huh this is nifty but it's not very efficient

gray gazelle
#

D and F is not that boring, just speed read it

sage python
#

Then I tried Herstein and was like aight this is what I'm reading

#

Learned group theory out of that and Keith Conrad's notes

#

Then I took a D&F class

queen rampart
#

algebra books I've read more than 10 pages of: aluffi, herstein, knapp, rotman, artin, D&F, fraleigh
analysis same: zorich, tao, rudin, abbott, pugh, apostol, knapp, spivak, S&S

sage python
#

But I mostly worked out of lectures rather than the book

queen rampart
#

btw, anyone who goes "read X on analysis, it dumps all of that cauchy sequence bullshit in the first 5 pages and then does actually interesting stuff" I'll love you forever

sage python
#

And at some point I was like alright I gotta review for quals and chose Jacobson

#

Rudin chapter 1 isn't quite 5 pages but I think it's a decent/moderately condensed "everything you need to know"

static crest
#

was plenty interesting

ripe granite
#

d&f is good

#

aluffi is good

#

but none of them are great

#

when youre learning it for the first time

#

d&f is excellent if youre willing to take on faith that a lot of the stuff learning right now will be useful later

gray gazelle
#

Anyone have a pdf of Riemannian geometry by do Carmo that's not scanned so you can copy paste the text?

sage python
#

Officially discord TOS isn't cool with distributing pirated materials

willow pecan
gray gazelle
#

Is anyone aware of the existence of such a book

#

Only want to know if one exists not looking to acquire

#

i would also like to know

gray gazelle
#

make your own

#

retype the entirety of do carmo rg, but fix his shit notation / errors

sage python
#

In other words: "Write a book that's not about Riemannian geometry"

wide meteor
#

riemmanian geometry sounds hard

gray gazelle
#

it's hard if you can't compute

wide meteor
#

i cant compute

lavish lagoon
#

What's D and F

wide meteor
#

names

#

of authors

lavish lagoon
#

Oh

gray gazelle
#

dummit, foote

lavish lagoon
#

Ok

#

Thank you

sudden kindle
#

D&F is kinda like S&M

narrow talon
#

Book discussion in a nutshell: how do I learn calc/linear algebra/algebra/cat theory??? Well use Larson/LADR/D&F/don’t? But what about Spivak/ew LADR is terrible/Jacobson or Lang/Riehl???

#

And then rinse and repeat

wide meteor
#

lol

lavish lagoon
#

What if I wanna learn complex analysis? I'm an undergrad and studied a CA grad school textbook, buuut it wasn't that helpful in understanding the material

gray gazelle
#

just intuit the material

lavish lagoon
#

4head

marble solar
#

If anyone is hung up on what analysis book they'd like to read

#

Might I suggest the upcoming fifth edition to the classic whittaker & watson

#

I'm not affiliated with any of the authors or the publishers in anyway whatsoever, I just think this book is dank

wide meteor
#

sure

hearty steppe
hearty steppe
#

@marble solar

hearty steppe
#

so I now have some interesting stuff, nice

#

moon feel free to throw as many RA recs my way

marble solar
#

Oh sorry

#

Uh whittaker & watson is the best I think

#

Rudin is ok, Pugh is good, Terry Tao's books are ok

#

Stein & Shakarchi Fourier (Volume 1) is excellent

still jay
#

Thoughts on Bloch?

#

That’s what I’m using

marble solar
#

I don't know bbloch

karmic thorn
#

@marble solar But Stein-Shakarchi doesn't go into intro real analysis, right?

marble solar
#

Eh, if you know spivak's calculus

#

You're good

karmic thorn
storm sleet
#

Can we get a megathread for intro to analysis books?

hearty steppe
#

Aye I’m down for that but I think I have all of the recs

gray gazelle
#

and also people recommending books they haven't read, and also people who can't just sit down and do it instead of searching for the perfect book

karmic thorn
gray gazelle
#

What's the best hentai manga? slightlyembarrased

karmic thorn
#

Pugh

#

Chmonkey probably saw this a few years back

remote ginkgo
karmic thorn
remote ginkgo
#

sending this to my algebra professor

molten wave
#

funny that the original book is porn

gray gazelle
#

lol

hearty steppe
#

Is this a good dynamical systems book?

#

I forget if someone recommended it previously

#

Any good self study ones

#

Cuz I’m on the self study train

#

I’ll give this a try I guess?

#

Hard is fine. No pain no gain lmao

sage python
#

Brin and Stuck was hard for me as a second year undergrad

#

But like doable in a way? Like if you focus hard enough you should be able to figure out what's up

#

@marble solar is this Whittaker-Watson book along similar lines to Rudin and all?

marble solar
#

it's very different

sage python
#

Yeah looking at the contents I feel like... idk WW has a lot of cutesy topics

#

But it's not a standard analysis course really

#

I guess I feel like overall those recommendations are for very different things lmao. S&S doesn't have the same audience as W&W doesn't have the same audience as Rudin/Pugh, Tao is its own thing kinda

glacial stream
#

I'm going to begin calculus can anyone suggest me some good books