#book-recommendations
1 messages · Page 236 of 1
Which leads to a lot more flexibility in Bayesian setting, but on the flip side a lot stays theory because implementation is harder
I don't like stuff with numbers
What do u mean by constant?
Here
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
ooooh
Often times the mean, but not always
frequentist: param -> distribution(s)
bayesian: distribution -> params -> distribution(s)
Mode is another common one, or you ever hear of MAP that’s all it is, the mode of your distribution over params
Exactly
So prior/posterior refer to the distribution over the parameters and the prior can be constructed based on domain knowledge
Exactly, WAP is similar
up to isomorphism
(Maximum A Posteriori Estimation)
I've heard all those words independently, yus
Basically, the maximally occurring value of the distribution on the parameters after updating that distribution based on data is the estimate that we take
yep
The updated distribution is the posterior distribution, hence MAP
ty
A ton of current research (at least at NYU) is on Bayesian ML since it's becoming computationally feasible
most of the stuff my friends did was applied
It's also got a ton of really weird people who get a bit too obsessed with the philosophy of Bayesian statistics
someone did matrix factorisation, a bunch on cascade learning, etc
Gross
One day I'll learn more about Bayesian nonparametrics, maybe this summer
Van der Vaart has a book on it, seems up my alley
Hey, Ted recommend me LA by friedberg. Do you have any more suggestions to study LA from?
linear algebra done right is the go-to
heard a lot of people recommend hoffman and kunze for a harder one
I don't love Hoffman and Kunze, so dry
Says the person who will use Rudin till he dies
Why second course? Is it required? I don't know much about LA BTW
Probably don't use Lax then. It's definitely geared towards a second course at the sophomore/senior level depending on your school
oh, so is this a first attempt at LA?
Straang Introduction to Linear Algebra is what to go with for a first pass imo
It covers all the stuff you'll use all the time
I couldn't vibe with strang, it was very...numerical focused?
we will be solving systems of equations and we will be solving lots of them
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
And makes it really nice to work through problems concretely
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
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
I just think it's boring haha! To each their own
I mean yeah that's why I don't recommend it for self study
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
I'mma go through all the problems in big Rudin (both halves) this summer if anyone feels like joining
that sounds hellish
Yeah. I just started watching 3b1b video about it
gl
I would, but alas my analysis probably isn't up to snuff
gilbert strang has MIT OCW lectures on youtube
I love 3b1b's LA series but if you want something more meaty
Isn't that a bit engineering oriented?
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
depends why you're doing LA
More, UG pure maths oriented interest
also to provide a mildly alternate perspective to this, I Think starting abstract is a good idea for linalg, because you can always easily generate/find computational examples, and abstraction really helps with the underlying conceptual understanding imo. I think axler is great for a first course
so you're looking more at vector spaces over arbitrary fields
rather than systems of linear equations
Lol Axler is something
do you not like it?
It's fine if you don't care about either determinants or characteristic polynomials
And those are important
then just read linear algebra done wrong at the same time
Yeahh. Friedberg starts with vector spaces
LADR leaves determinants to the final? chapter
and the first 3 or 4 are just going through abstract bases and subspaces and whatnot
whereas LADW's first chapter is on determinants
Sure but because it has determinants at the end everything that depends on characteristic polynomials is also messed up
And it's like
I don't know
axler covers these at the end though?
I don't get the dislike for determinants
And they are useful throughout linear algebra
Axler doesn't
There are two books where one is done right and other wrong? 
they don't seem that bad... why is determinant bad
Determinants are wonderful
Yeah, I already know all the stuff from the real section, so it'll just be for doing a lot more exercises in real analysis and learning the measure theoretic complex
done wrong is sort of a response to done right
yeah i thought reading about them in friedberg was cool
because, as you can see, people got angry that axler didn't cover determinants much
I don't necessarily agree
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.
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
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
everything did 1 or 2 but never 1->2 or 2->1
Yeah, I think that when working with abstract stuff you should absolutely regularly do concrete examples
and good exercises will also encourage that
See I get what Axler doesn't like
I personally agree with the message, if not the presentation. I saw determinants in high school and they were frustratingly obtuse and unintuitive. My linalg course did determinants sooner than axler does but still relatively late in the class, and I think students really benefited from it
Because students think of determinants not with multilinearity
But as take a matrix crunch them numbers
And obviously proving big ideas using an object that sounds to you like pure number crunching is fully unenlightening
Determinant = product of the eigenvalues
as for invertability and stuff i always had rank nullity and stuff
But the problem is that there is an excellent conceptual description of the determinant
Multilinearity
but i guess i understand what axler is saying about the eigenvalues stuff
i don't really get eigenvalues and whatnot with the determinants so hmm
i guess i will have to take a closer look at determinants one day
I was always ever taught determinants as a number to calculate
never any theory behind them
Diagonalize a matrix with a unitary one
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
$A=U\Lambda U^*$
星雄
and this is how they're almost always taught
and I am very sad that's how I got taught them
And lambda is the diagonal matrix of eigenvalues
But yeah so Axler looks at a problem, namely that determinants are taught as number crunching
because I did them at a-level, then nothing for 7, 8 years
Wow 
And are then used to prove conceptual things
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
wait i already finished up my first course in linear algebra so i guess.... i can start now or am i supposed to wait for some more stuff to learn
His solution is to nix determinants altogether
Rather than... teach them correctly
He also I think is kind of a "pure functional analyst"
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
metal alright so, this week I might be busy
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
But unironically pester me in about a week
there was an r/math thread about this recently
oh alright i will then
12 votes and 35 comments so far on Reddit
ty daminark
And I'll teach you multilinear algebra
niceee
Yeah so that's the correct answer Nicholas
You just teach students exterior products
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
is it weird that I've never seen multilinear algebra, exterior products, etc mentinoed in linalg
only in other fields
It's not weird but it's unfortunate
I came across them in diffgeo
I think linear algebra classes should just amp it up and teach multilinear stuff
and then again now in fulton and harris, so I've been learning more and more about them
yeah, I saw them in tu's introduction to manifolds
Rather than spending n weeks on Gaussian elimination
and in seemingly every not-basics abstract algebra text
and in penrose's road to reality, a book almost a decade later I've still not managed to understand past chapter 10 
@sage python My intro to linalg course basically followed axler and I really liked it. I wish linalg 2 had done multilinear algebras though
So, I learned it a bit funny
I had a class summer after first year which did a mix of linear algebra and graph theory
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
wow that is a lot
There we did cover determinants more computationally
Or not computationally but
Our definition of the determinant was in terms of rook formations and all that
Thing is we mostly focused on it being multiplicative, alternating, multilinear
And overall I don't remember getting the sense that a lot of stuff we did was especially unenlightening
Whole ass I’m grading linear algebra right now
And there are people who think that the column space
Now that fall I took analysis, and first quarter of that class exempts you from the linear algebra requirement
Students who think that way will fail lol
People are worried about other stuff
And so they should if they're not good at linear algebra
My school has 4 versions of linalg; one for engineers, one for science, one for math majors, and an advanced one for math majors
I feel like the advanced one could do multilinear algebra
Yeah I mean obviously engineering students don't need to worry about multilinear stuff
But I'm fine with requiring that if math students are gonna succeed they better know their shit
@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
Like oh linear endomorphisms of C^n have eigenvalues because beep boop boop beep this is 0
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
Lol, are you French?
No but if that's how French people do it I respect it
America's way too chill about letting students be bitches
nah the french just surrender

Yeah pretty much
american mathematics education seems so far behind everywhere else
Older French profs at least complain about how everyone else knows jack shit
I was doing 2nd order diff eqs at 16 and americans are doing pre-calc in university???
I mean eh I'm fine with people being behind in a way
Thing is you have to separate different types of problems
One problem the US has is that funding for K-12 schools is largely based on property taxes
So like if you grow up in the wrong neighborhood your education is crap
^
I think the right angle for good college to get at is
that's the least of the problems with america
Honestly it's arguably the biggest
no I think america has bigger problems than how they teach determinants
If you fix the problem of funding being garbage most of the time
Literally my education would’ve been entirely different if I lived 20 miles south
Oh I thought you meant funding isn't the problem
And I'm like lol
But yeah so my overall take is that
College is kind of a separate beast from K-12 but it does get students who came from K-12
So you have a weird balancing act where it's like
You simultaneously don't wanna shit on students who went to underfunded schools
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"
like students in linalg 1 often struggle with basic proofs, multilinear algebra is not a great idea unless it's an honours stream imo
I think, definitely the good schools, should have an overall policy where...
We expect you to be able to think
We don't expect you to have much background
I think that's where you should cover it
Lol, there’s a reaaaly weird difference between poor students, rich lazy students, and international students
yeah mine was quite easy too, and I agree
At NYU at least
but also I think you should be teaching eg the tensor product to do multi linear stuff
and imagining teaching the tensor product to the kids in my class is
...
D:
I just think schools don't have an actual hard linear algebra class
which is a mistake
Teach it and make it clear that they're expected to know it
Their grade is on the line
They'll figure it out
I think you're vastly overestimating the capabilities of the average linalg 1 student
linalg 1 is mainly like
engineers
and cs students
even my "advanced" one
was primarily non-math majors
ok this wasn't the case at my school
yeah :/
So you have students who struggle because they come from places with less education, students who want a degree but don't really care, normal students, and students who took analysis 1 freshman year of high school and balancing that is fucked.
at my school as mentioend there are 4 linalg; eng, science, math, advanced for math
What did your advanced linalg cover chmonkey?
pfffft
Nah, we covered lots of shit in honors linalg
All of Straang and like half of Lax
but we define one and put it in that context
Yeah Jason it's hard. Honestly the correct answer in the abstract is fix equity in early education
since I think the earlier Lin alg is basically just matrices and over R^n
So everyone gets a decent quality education early on
then uhhh, we covered some crap, i don't really remember man
So by the time you're in college if you can't pull it off it's on you
we did cover some canonical forms
and like eigenbases but
It was a waste of time, and I slept in it lol
yeah that sounds about like mine except we used the word field
UChicago's got an honestly decent strat for that
There's math for econ and math for physical sciences
They cover linear algebra whenever they cover it
And then if you're in the math track you learn proofs in calculus, before you touch linear algebra
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
Or you do honors analysis which is basically "swim bitch"
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
linalg is taken in the second semester after you've done both of those
so you should know how to write a good proof
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
idk, my school kinda has "sink or swim" courses and our math faculty has like 8000 students
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
although granted, here you apply for specifically the math or CS program out of high school, you can't like start as a "general student" or anything then declare a math major
I still want to have a linear algebra course which teaches Lie groups
and u(t) definitely has sink or swim courses
Like that's the thing, obviously math department can offer courses to students in other majors
And in a service course you're teaching to their terms rather than your own
what's that quote? The amount of funding a math program has is directly dependent on the number of engineers taking it's introductory courses
this is just false, it might be the case at your uni but definitely isn't at mine
Canada works differently from the US overall, though US has a lot of variation
Well Jason in the thing I outlined above there were options for math for engineers
And that class sure you teach it to the demands of engineers
It's a quote from an MIT prof in the 90s or so? pretty famous mathematician
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
Sure but that just doesn't apply
like, here the math majors take 0 courses in common with engineering majors
But like, in principle what should be the case is
Yeah what Nicholas is talking about is what should be the case
unless the math student enrolls in a physics course as an elective or whatever
we have 5 different versions of calc 1
Nicholas is in Canada
sure but most of the courses taken in the math faculty are by math faculty students
But yeah let me clarify how I think it should be
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.
There's some set of "Math for not math people"
And it's taught to their needs
And then there's math for math people
I guess that I would lean towards the way MIT does it, having different tracks for different types of math people
no, math faculty offers calculus courses for eng students, but 'm saying that's not where the funding comes from
the funding comes from the 8000 students enrolled in the math faculty who take math faculty courses for all n years of their degree
And if you're in a math for math people class then I'm fine with saying
Yeah we've got standards if you don't like it you can walk right out
Nick are you mixing between the different campuses?
I'm at watelroo not u(t)
I think UT has 3 of them right?
waterloo has only one campus
38k students
I guess Waterloo is more specialized math/science right? And it's huge apparently lol
we have 8k math students, 10k eng students and 6k sci students
Yeah, UChicago is a weird special case because math is actually the second biggest major after economics lol
also it should be noted that here, CS is under the math faculty
about 2500 CS students in total - wait no this year there are suddenly 3000 lol
That's very few given Waterloo's CS rep
it's selective
Gotcha
there are 4648 undergraduate students in math but not CS right now
CS has taken over in the US it seems
God I hate “cs math”
Like, cs people approach math differently and it’s terrible
our CS students need to take the courses that the math majors take
I’m talking advanced course
Data science courses that I’m in are run primarily by cs faculty and their math can be so confusing
UC Hicago
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
@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
My good DS prof uses completely different notation and focuses on aspects which I would find unimportant in a math class
My bad DS prof is incomprehensible
Yeah Waterloo seems actually quality unlike a lot of American schools
Speaking of data science I need to do a few hours of Python prep for a data science thing starting tomorrow
And I'm so lazy lol
What data science thing?
I mean I would hope so considering it's consistently ranked as one of the top 3 canadian undergrad math programs
I have to program a NN from scratch this week, it’s not that bad but OOP is weird to me still
Erdos Institute, they're doing a data science bootcamp
Oh cool, is it intro DS or ML stuff?
I think it's fairly introductory?
I'm not sure if dami is talking about comparing waterloo to generic US schools or top american schools
Nah I was thinking relative to generic tbh
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
US is very top heavy
I can see myself doing research in ML, some potential theoretic deep learning like Grant Rotskoff or Eric Vanden rings Fien much
Lol autocorrect
Or I mean idk what I find in the US is this
You have the top schools and the top big public schools
also for buncho I counted our number of students at one point
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
And they're all quite good
Jesus, that’s insane
Oh stats also counts as math
NYU is ranked #1 in applied math and has like, a quarter of the profs in total
Okay yeah that makes the skew less surprising to me lol
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
I was still a bit surprised that math is so much higher than CS lol
A bunch? I only knew of one
leicester, uh
But yeah so what I was saying about the US is
@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
You have all the really really good public schools
And obviously you have the top of the line places
Scary. Soon the UK will just remove its mathematicians.
Goodbye, you're french now
Those are all good. Like the good math students have great acceleration opportunities
in upper years, it looks like about 30% of students are in actuarial science/statistics
I wish I could go back 8 eyars and do pure maths
And overall there's a sentiment that within reason you gotta carry your weight and actually work
and do a phd in abstract bullshite
so abstract even nlab doesn't know what I'm talking about
I think the best Canadian schools are usually like your top public schools, at least from what I've seen - we don't really have things comparable to your top private schools
putting mochizuki to shame
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
Is it too late to do math for you now?
Nicholas that sounds about right tbh
no, fortunately. that's why I'm here, actually.
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
Like I vaguely have Toronto in mind as having similar quality to Michigan
but it's having to be a hobby thing.
How old are you Kitty and what's your math background? Just curious, you don't have to say
What does it mean"quality"?
uh, is this predominantly US-ian?
And do you prefer Pretty, Princess or Kitty. I hope not Princess because I'm not calling you that lol.
Probably like a 40 year old fuck
PPK, kitty, sloot, avery - any of the above work
Cool
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
Oh, @queen rampart is it okay if I call you princess?
yeah if you want lmao
So more like, do they send out people who are vaguely competent?
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
I'm pretty sure that people who graduate from u(t) math spec are more than vaguely competent on average
that's kind of a wall of text so enjoy
That wasn't commenting on these schools lol
for some reason, this time around my reading what should be fairly elementary textbooks has stuck
It was responding to 8da on how I'm measuring quality
I also think Michigan grads tend to be solid lol
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
Michigan in my mind is firmly top 10 math
ah ok
(if you want me to move to one of the discussion channels I'm happy to)
Lmao lurking
Automorphic Forms and Representations by Bump
Also "The Spectrum of Hyperbolic Surfaces" by Bergeron
Bergeron talks a bit about QUE
You've got this!
Is downloading this legal?
no
I take that as a yes.

The EU
ewwwwww
Why would you unironically be European lmfaoooo
lol, imagine piracy being illegal in your country
I know, what a weird concept.
on that note, what book would you recommend for multivariable analysis?
posts another pdf
zorich
it's either right at the end of analysis I or the start of analysis II
but he has some 150 pages on it
i opened it and i see physics
...zorich's mathematical analysis?
I thought you've done multivariable analysis.
probably just the motivation
i've failed a couple of times
Been there
numbers hard

oh, zorich definitely does motivation
he does a lot about error approximation in vol 1
and errors of sequences as approximations
are you talking about this? https://www.amazon.com/Mathematical-Analysis-Universitext-V-Zorich/dp/3662569558
What do you want to cover? Personally I liked Spivak's Calculus on Manifolds, which is what you might need.
is calc on manifolds different to multivariable?
I thought it was like, multi-multivariable
i might need slightly more, but i will check it out, thanks
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 - ???
Highly highly recommend Rotman for algebra and even more highly antirecommend D&F
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
We have tried hard to reduce the number of ε–δ arguments
i'm sold
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.
(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)
Wait Rotman has a general algebra book?
oh, when I say rotman I mean advanced modern algebra, not the UG one
I mean that one too
he covers groups first in that one
I’ve only seen Rotmans group theory book which I really liked
He does not in AMA
he has groups I and rings I and most of the proofs are just very brief
I am looking at the book right now and it covers rings first lol.
What edition?
I have <deleted under copyright law>
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
I agree. Based reviewer.
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
yeah that's the intention
they don't quite overlap
knapp has 2 heavy LA chapters before groups
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
okay, I sleep now. Please join the rotman faction here and overthrow DF
night
justkidding I'm sticking around to provide judgment on a billion books I've read 3 chapters of each
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
have you read rotman's advanced modern algebra
Nope
then...
I will tell you dami, good!
I’ll look into Rotman as well thanks for the rec
@sage python do you have a personal/academic website
it is definitely not a first algebra course though
Not yet, I probably will soon though
you're missing complex analysis btw
yeah I've got 0 clue about complex anal
i liked Complex analysis by Eberhard Freitag and Rolf Busam, but this channel likes ahlfors more i think
Have you though about how to make it?
Would you use google sites or wordpress?
Doesn’t Wordpress cost money
I had Google sites in mind
not if you self-host
Forgot you can do that oof
Also check pinned messages where I gave my complex analysis book opinions lmao
Oof I asked about websites in the wrong channel
i like the Schlag description lol
since you clearly know your stuff, do I need real analysis before compelx analysis? I know they're very different but I guess...does anything else carry over except the concept of a sequence converging?
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
oh yeah, for sure
I've just heard that complex is kinda disjoint from real
since it's holomorphic this and whatnot
complex analysis deals only with constant functions
lol
id say that's a pretty big difference
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
holomorphic arzela ascoli moment
function space stuff played a huge role in my complex analysis class
oh yeah and you'll want some of the real anal integration thms too
so that you don't have to be
ing while switching integrals and limits
"this is on a compact set and the convergence is uniform so it's ok"
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
if i did topology exercises in latex "f from compact to hausdorff so f bar homeomorphism" would be a macro
@glad prairie which analysis book do you recommend?
I saw so many.
for a cs student.
Personally I recommend Abbott's Understanding Analysis
toxic
For a math student
What are you on about
It's fine we're friends
For you I recommend Rudin's functional analysis


I'm garbage at analysis and I still got an A in my course bc of it
have problem with that? 
In my intro analysis class someone sent me a pdf of that
and I didn't open it once
😸
Classification of irreducible unitary representations... Come on, you already did the whole theory of that on your 202B homework ange.
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
This NC HA book should be easy
What
But I remember nothing of sequences at all tbqh
Hilbert space Peter Weyl
is it cut out for self-studying?
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
such as?
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
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
I've heard lots of ppl say Pugh was bad

it's very good for intuition, according to tterra pugh even does proofs by intuition
literally just
shows a picture
and the proof is obvious
AND THEN PROOF 2 is the normal one
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


Tao's Analysis gud 😌
Does anybody have B.S.Grewal book for engineers
It's probably on libgen
rudin is the only good analysis book besides hardy
s&s tho
Folland
no
More advanced than Rudin
my little blue indian edition with single ply seethrough pages will never be displaced
Wait little Rudin?

Oh nvm then, Folland is not a good substitute for blue Rudin haha
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
Understanding analysis by abbott or principles of mathematical analysis which one is good for begginer?
rudin is famously difficult.
i dont have experience with abbott, but i'd wager it's more approachable than rudin
What will you recommend for linear algebra?
friedberg linear algebra is chill and good
Axler 
Friedberg is certainly more accessible imo.
If anyone is using Friedberg for study, you can complement it with Tao's 115A lecture notes.
anyone know of a good algebra textbook with either great examples/historical context behind the stuff?
at what level
Pinter?
thanks I'll check it out
Nothing gets close enough to you my brother. :todou:
Are there any good books to learn how to write and do proofs?
Not a book and doesn't talk about how to construct proofs, but is a great article for learning how to present a proof:
https://kconrad.math.uconn.edu/blurbs/proofs/writingtips.pdf
I mean There's Velleman
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.
Munkres or Mendelson for a first topology book?
Topology without tears is what I prefer
Is Dummit Foote the best Abstract Alg book?
no
Is there any easier book? Like easier to read
No
nO
Arguably Artin
But D&F is readable by anyone who's ready to be learning algebra tbh
That was depressing to hear but thanks for your opinion
Does hard to read mean better book?
No
I mean what's your background so far?
I'll check it prob'ly
G actions take a minute to wrap your head around
I fear that part...absolutely
Any handout on polynomial for olympiad???
Isn't there Titu Andreescu's book on Poly ? Ig so
Pdf,,,
Thanks
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
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?
advice: never read a formal set theory book
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
why is that a problem
It's not, I was just being a goof. But I did end up going munkres just by recs combined with a gut feeling
Yeah it is more illuminating just old habits sorta thing
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.
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
What an unbased list without Rotman
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
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.
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
Clear motivation, well written exposition. Terse I would say, I don’t mind doing things myself, actually I prefer it.
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?
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.
Dw, I won't bitch about anything except DF
If you shit on DF I will shit on you

@still jay I spent a while trying to find this
I’m glad I found it again, check this link
nice pfp
lol
meow
perhaps
Ooo thanks 🙏
@gray gazelle @hushed sequoia wain pfp gang. which one of these are the best for a pfp?
I did not like aluffi
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
Thanks.
thank you yohan
Anyone here read diary of a wimpy kid hard luck
sully
yupp 
Do you know of any good books to teach myself algebra? One that clearly explain the reasoning behind why I do the math
Algebra at what level?
d&f is a good intro to algebra
they cover polynomials extensively
and well
they even do exponentials and sinusoids!
8th grade
:^)
Hmmm, something which explains reasoning at that level.
Have you tried books by AoPS?
I've never heard of them
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.
I might take a peek at D&F although I really like Pinter as well as Fraleigh
allufi
@dapper root interesting site lol
I feel like Aluffi would be better served as a category theory book after you learn algebra
similar to the topology book
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
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
yeah, I've heard repeatedly that it's a terrible book to learn category theory from
If you start off on the categorical side you wanna be clear what's actual content and what's just words
more good as a mathematically mature algebra book with some category stuff as a fresh approach
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
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
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
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
it covers normal undergrad algebra topics?
it did not provide intuition or explanation for anything
the only textbook that goes any slower than d&f is gallian
ahem, fraleigh
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
but fraleigh covers like the same content, in like fewer pages?
no?
I think the point Kitty's making, which is kinda correct
maybe because I read fraleigh in paper like a year ago and D&F on a tablet
Is that if you're not predisposed to understanding what's interesting about algebra or why it's important
I swear fraleigh gets 9 or 10 chapters deep before lagrange's theorem
I can understand that as a criticism, d&f does assume you already want to learn algebra
D&F will do no work whatsoever in making it interesting
i like Fraleigh but Fraleigh is very short
but saying "d&f doesn't explain anything" is just not right unless you literally just didn't read it
not because they've covered so much, more that they act like you're a blind 3 year old
D&F is a list of facts
while awake
D&F did not explain why normalisers are important, or any reason we might want them
Wait hold on I just realized
literally, "blah is called the normaliser of G"
well it does at some point
that's it
D&F is literally the definition of ELI5 algebra
it doesn't explain about normalizers in 2.2, where they're first introduced
no reason why we might make it, or use it, or need it, or why we construct it that way
But yeah this is why I say that if you want D&F but more motivated you use Artin
it starts going on about stuff being subgroups of the normaliser to prove stuff but that doesn't help
gallian is like by definition eli5 of algebra
d&f is at least eli10
herstein did much more imo
artin was alright but it didn't grab me?
Herstein is good at group theory, it's where I learned it
But I hear it's straight up deficient for the later topics
herstein made me understand cosets
it's taken literally 5 different books for that
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
yes it's gN but that doesn't shed light on why
I agree dami
idk herstein made it click
I don't think d&f can make it any easier without just veering into gallian territory
(which is not good)
Yeah normal subgroups should be explained in terms of group homomorphisms lol
D&F made everything before normal groups click
it's just really fucking boring
to read
if you aren't already wanting to learn algebra
a lot
read Gallian
beachy and blair is decent
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
Yeah that's just correct lol
gallian is the most easy algebra textbook in all of existence
Herstein I remember liking for group theory but I heard he barely covers shit afterwards
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
And having to unlearn and relearn his multiplicatoin convention was a pain in the ass
currently reading Knapp and it's a lot harder than I expected
for a book called "basic algebra"
ignore textbook names
Lmao
Weil Basic Number Theory
Basic some word
anyone tried rotmans algebra book'
Means nothing
How to make undergrads look like stupid little shits lol
Jacobson calls his book basic algebra
I've heard it's excellent (well, his graduate one) and I'm planning to use it as my advanced/supplement to knapp
And it covers fucking universal algebra in vol 2
nice
jacobson is a grad algebra tb right?
Yeah, look at the topics it covers. Literally insane
im gonna pickup rotman
advanced modern algebra
yes
Jacobson has two volumes
Volume 1 is fine as an intro if you know linear algebra going in
ever wanted like 3000 words on algebra textbooks, here you go
So it's a step up over Artin but it's not unreasonably hard
I already have a pinned post about algebra books
i dont like that artin has excersises at the end of chapters
Wut
oh yeah I hate that
Do you want them at the end of sections?
yes
doesn't cover knapp, rotman, fraleigh, or gallian 0/10
well gallian is not worth talking about
Okay on a different note
I talk about KNapp lol
other than to shit on it
Why does everyone split so many hairs and try like 4 textbooks
And Fraleigh/Gallian are "algebra for people who really aren't ready to be learning algebra"
Just pick one and then use it
I need a nap
true
I can't see a comment about knapp
See the very last one lol
I learned like 90% of my algebra from d&f
lmao
because it feels more rewarding to know that someone else, somewhere, also had problems
and therefore I am validated in switching books
On semisimple groups
source: have tried like 8 algebra books and about 30 analysis books
yikes
And stumbled across that one since I thought maybe it was a chapter in his "advanced algebra" book
on a related note, I hit 550 pages in my d&f solutions
But I saw the contents and I was like dayum
the end is in sight though
ANd then realized it was the wrong book
okay maybe a little exaggerating
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
D and F is not that boring, just speed read it
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
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
But I mostly worked out of lectures rather than the book
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
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"
exactly, I did all the d&f group theory in < 30 days
was plenty interesting
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
Anyone have a pdf of Riemannian geometry by do Carmo that's not scanned so you can copy paste the text?
Officially discord TOS isn't cool with distributing pirated materials

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
we fooled them
make your own
retype the entirety of do carmo rg, but fix his shit notation / errors

In other words: "Write a book that's not about Riemannian geometry"
riemmanian geometry sounds hard
it's hard if you can't compute
i cant compute
What's D and F
Oh
dummit, foote
D&F is kinda like S&M
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
lol
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
just intuit the material
4head
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
sure
how does this book compare to other books?
@marble solar
so I now have some interesting stuff, nice
moon feel free to throw as many RA recs my way
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
I don't know bbloch
@marble solar But Stein-Shakarchi doesn't go into intro real analysis, right?

Can we get a megathread for intro to analysis books?
Aye I’m down for that but I think I have all of the recs
lmao
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

What's the best hentai manga? 

sending this to my algebra professor
funny that the original book is porn
lol
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
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?
it's very different
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
I'm going to begin calculus can anyone suggest me some good books

