#book-recommendations
1 messages · Page 199 of 1
A good book for euclidean and non-euclidean geometry?
What exactly are you looking for in euclidean geometry?
What kind of Geometry do you want to learn?
Geometric figures on plane and on space and non euclidian geometry in general
Saying you want to learn about non Euclidean Geometry is like saying you want to learn about plants that aren't asparagus. Not very specific.
I know nothing about non euclidean geometry
99% of Geometry is not Euclidean geometry.
i just want to start with non euclidean
Well, usually people learning Geometry start with Topology. Can't do much Geometry without Topology. So you might look into learning Topology.
But are brussels sprouts the same as asparagus?
noneuclidean geometry is cursed
its like pretending that rings arent always commutative
you'd be wrong
@gray gazelle I'll take a look at it, thanks
We taught Euclidean geometry at my school.
@trim narwhal Here are a few books. We used this book https://www.amazon.com/Euclidean-Non-Euclidean-Geometries-Development-History/dp/0716799480/ref=sr_1_5?dchild=1&keywords=euclidean+geometry&qid=1600015977&sr=8-5
But I didn't like that book all that much so I supplemented it with this book: https://www.amazon.com/Foundations-Geometry-2nd-Gerard-Venema/dp/0136020585/ref=sr_1_1?crid=11AIXJMWIPAEF&dchild=1&keywords=foundations+of+geometry&qid=1600016022&sprefix=foudnations+of+geometry%2Caps%2C200&sr=8-1
And then I considered using this one https://www.amazon.com/Axiomatic-Geometry-Applied-Undergraduate-Texts/dp/0821884786/ref=sr_1_1?dchild=1&keywords=axiomatic+geometry&qid=1600016046&sr=8-1 but I haven't really looked all that much into it, but it is what you described.
That last one is written by the same guy who wrote "Introduction to Topological Manifolds"
So that's a book that's well known and people say good things about it.
Is Coxeter's book a good first reading?
No clue, never used.
I read a bit of Coxeter's "Geometry revisited," and it seemed pretty good
The exercises were boring tho, but I find all euclidean geometry stuff a bit boring
so
try elements
Oh yeah Coxeter's Geometry does assume basic geometry stuff
But nothing too advanced (relatively) like the law of sin
Only like
Area of various shapes, and angle stuff
and also I believe nobody should read elements now
is whoever into euclidean geo now
I got two geometry books from usamts
sad
One is Coxeter's Geometry revisited, one is EGMO
@flint forge wait if anything I feel like as a topologist you should like hyperbolic geometry lol
Well you see
Mostow rigidity is a thing
If M and N are complete finite volume hyperbolic manifolds in dimension 3+, then any isomorphism between their fundamental groups is induced by a unique isometry M->N
what does hyperbolic manifold mean
But yeah I guess I was gonna say low dimensional stuff much as this isn't your thing lol
Hyperbolic manifolds are homeomorphic to hyperbolic space, which has at least four isometric representations
The cool LDT stuff is getting less and less popular
Aren't 4 manifolds still a thing?
@tribal kernel uh, I think you might want some adjectives
Simply connected?
Locally homeomorphic then
It has constant negative curvature
Spherical space has constant positive curvature and Euclidean space has zero curvature
It is, but they're using a lot of crazy algebraic type stuff now
I like cut, paste, and glue topology which is what topologists advertise it as, but very few work in
As seen in Schulten's 3-manifold book
Wouldn’t it be cool if humans were 6 dimensional beings
I don't know about that, but if 2 dimensional beings lived in a far right society, they'd need to keep on rotating
why 6 specifically, seems like kind of a bad number
More generally, if you have a field k, n dimensional vector space V, fix an isomorphism k=det(V)=(upsidedown V)^nV, then you can define cross product.
/\
My music friend laughed at me for calling # capital three.

Thank you Tterra, I'm surprised a lot of ppl are unaware of this. It's not exactly a cross product, but it's good enough for me
Any good texts for alternative ways to visualize different mathematical methods?
calculus on manifolds doesn't need rewriting
even if it does have quite a few errors
The errors are the real test
I love that theorem in chapter 3, which isn't correct and there's an errata correcting it in the back
(The proof isn't correct)
I tried convincing my professor (I TA Calc. on Manifolds sometimes) to give an outline of it on the exam, and have the students fill it in
But he said no
the proof of integrable iff a.e. continuous, right?
my prof (taught out of the book) gave a correct version, and offhandedly mentioned that the book one has an error
good old times
i have the corrected proof in my notebook somewhere
By outline do you mean like core concept questions that could lead to the proof completion, or like fill in the blank?
Yeah, it's integrable if and only if continuous a.e.
There's an error in the proof "since M_s(f) - m_s(f) >= 1/n is guaranteed only if the interior of S intersects B_{1/n}"
The correction really isn't that difficult
Ahhhh I seee
You just cover the boundaries of the partitioning subrectangles by something with volume < epsilon
So you can just say "Fill in the details of this"
Explain the error, give them the idea of what is to be done, but have them write it up correctly in technical mathematics
And have them explain why it works
My friend had the Addenda 3. On his final exam for Third Quarter Real Analysis
im done with algebra and im going to learn analysis
what do you guys think of mathematical analysis by S.C malik
Never heard of that one.
I actually haven’t either
There’s going to probably be a million and one diff analysis books compared to anything else in math lol
anyone heard of history of mathematics by david burton
my high school mathematics teacher recommended it and im curious
No; but I've read several accounts of history of mathematics
If your teacher recommends it, it's probably good
History of math is really interesting
"Mathematics and its History" by John Stillwell is an excellent text for undergrads. What's different about this text is that it has a few exercises with each chapter, and actually covers the historical development of almost all undergrad topics(group theory, topology, analysis, etc.)
By the way, any suggestions for a textbook on single variable calculus for competitions?
StillWell is comprehensive af
He's coming out with a new edition of the book that is supposed to be smaller
I want to use it as a math history book
I read in through the first chapter I guess and found it to be brilliant in its approach(I actually made a small Python code to verify the values of Pythagorean triplets which appeared in that Plimpton clay tablet).
I took a math history class with Stillwell's text
There was some geometry stuff that got really annoying without coordinates
and the TA was like "Just use coordinates"
Analytic Geometry really makes Geometry that much easier
when you get coordinates it literally changes the whole game 
I remember we did this in my euclidean geometry class for a while and we got to a point where we could finally use analytic geometric techniques for a certain part and I almost cried tears of joy 
was that in HS?
No it was in college.
Ahh I was gonna say
It was a class on Euclidean and Non-Euclidean Geometries.
Synthetic geometry be like
From the axiomatric i.e. synthetic approach
but htere was a certain part where we got to use Cartesian Coordiantes
By the way, any suggestions for a textbook on single variable calculus for competitions?
In desperate need. Please ping me if you have any recommendations.
I don't think calculus is required for olympiads
Or are you considered some other type of comp?
Not looking for olympiads, actually, a uni entrance which poses some beyond school level calculus problems.
Try AOPS's calculus book
Thanks, I'll check it out, although libgen seems to be giving me a hard time on this one.
@karmic thorn there are libgen equivalents
i recall ari telling me of one
@calm crane
look up libgen mirrors
libgen minors 
For this particular title none of the mirrors is working.
I'll accept dark web links too
lol
John A Rice Mathematical statistics and data analysis 3th edition
Anyeone has te solution manual
oh as in you need a book?
libgen mirrors are all basically the same thing
if theres a doi link can try scihub
but for random semiobscureish? books idt there will be
obscureish includes books for high school cuz no one uploads them on libgen
I guess AoPS books fall into that category :(
Any other suggestions for a good single variable calculus text, perhaps aimed at undergrads for competitive exams?
i find for math olympiads generally you dont need lots of knowledge on calculus tho idk good books either :p
Is Coxeter good for beginners?
Well it can be. Mostly EGMO is good enough, I started from scratch out of it and went all the way up to IMOSL and National Problems. For Geometry I'd recommend also having a try over Chinese problems they're cool.
Competitions, specifically.
If the later Spivak is the gold standard
Oh
No clue
Spivak is the gold standard for calc though
Can I show you a sample question? Maybe uni stuff could work, I'm not sure at all.
TedNotKaczynski:
My current background is high-school calculus, and I've never covered these sequences and stuff. I'm not sure if analysis textbooks are a good choice for me at the moment because their core emphasis is on theorems and their proofs as opposed to computational problems. Which books should I look out for?
without thinking my first instinct is to apply mvt as much as possible to this
Haha, thanks Terra, but atm I'm more concerned about a book which covers problems like these.
I have Thomas' Calculus, but it isn't as rigorous(somehow more applied). I also have Tao's Analysis, but it doesn't have a lot of problems. Does Spivak cover problems like these?
If anyone has any recommendations, please ping me.
i'm not sure if spivak specifically does things like this problem, but it does have quite a few problems, ranging from easier computations to actual tricky stuff
DrunkenDrake:
I guess there's a TeX breakdown; regardless I don't know anything about the solution.
tex broke lol
i'm not sure if spivak specifically does things like this problem, but it does have quite a few problems, ranging from easier computations to actual tricky stuff
Okay, I'll take a look at Spivak. Guess I'll grind for a couple of weeks to dig into it.
It'll certainly have some positive outcome.
also \leq @hasty turret
Is this a correct proof:
$|f'(x)| \leq 1/2 \implies |f(x)| \leq |x|/2$ therefore$ |f(x)/x)| < 1$
DrunkenDrake:
No. Let f(x)=1. Then f(0) is not less than 0/2
But $|f(x)-f(y)|\leq|x-y|/2$
Whoever:
exactly
isn't f a contraction mapping?
so shouldn't the problem be trivial?
d(a(n), a(n+1)) is a monotonically decreasing and bounded from below sequence so it converges
since real numbers are complete then since a_n is cauchy it converges as well
then a_n is bounded by definition
ah trivial 
Are these topics covered in Spivak's calculus?
yes
I should definitely look into it then.
spivak might not use the term "contraction mapping" but he absolutely discusses everything else
that wasn't really trivial, I'm joking, but that is a neat problem
just use pugh
These type of problems appear in a uni entrance exam I'm aiming for, and although I don't have much time left(barely 3 days to go), I guess knowing some basics might still be helpful to get partial credit.
you can definitely do that entirely with MVT, contraction mappings and wacky analysis stuff makes it way easier
i like bacono's solution the most, but there is a nice MVT argument you can do by looking at |f(a_n) - f(a_{n-1})|
they might be the same solution tho, idk
Is there a more graphical way to understand this argument?
someone tell me what to do, most horrible thing with AOPS books is having to get a solutions manual for the textbook
"Write your own solution manual"
brrrrruuuuuuuh
😔
it's like, I'm wasting a lot of time not being able to figure out what to do, if the answers posted here are what this author's expecting me to think by or not
bruh why do I punish myself with this shit
it's way hard for me to watch videos
is waiting for something that starts in like a minute
starts to play a map to pass the brief time
starts to play it very well...
might be able to FC but it's past the time

@karmic thorn monotonically decreasing means it is always decreasing, bounded from below means it won't go beyond a finite spot which is below the values of the sequence. so you know that the sequence keeps on getting smaller but approaches a horizontal line on a graph. is that what you meant by graphical way to understand it?
Yes, that's what I meant. Thanks for explaining!
I'd like to get a taste of number theory, what's a good book to start off with?
try ireland-rosen
cheers
What are people's thoughts on "Beginning Logic" by Lemmon... I skimed through it and it seems alright. Has anyone ever used it in an intro logic course?
I haven’t heard of that one. Have you considered trying an intro to proofs book?
@flint pagoda read enderton
thanks for the tips. ill check out enderton too i guess
What do you think about Introduction to Geometry by Coxeter? Is it beginner friendly?
Hey guys need some help. I’m trying to self study fractals. What would be a good gentle introduction type book that could really help me conceptualize and internalize the notion of minkowski dimension.
Not super familiar with those topics, but for a more general introduction into dimension theory, you might want to pursue a good measure theory text. Not sure if that’s what you’re going for though
Stein And Shakarchi Real Analysis
Read chapters 1, 2, 6, and 7
It's a little tough tho
Damn :/ yah the topics I’m exploring is basically the notion of 0 ≤ dim F ≤ 1
Non integer value dimensions
And no one needs anything you learn after integrals :(
that is not all of what i need in math
For example this exercises
Its a exercise book mostly
Ranging from basic to a bit more indepth on a topic just to get that foundation on math for college / university
Would you recommend reading texts that you're already experienced in? Even if you didn't have a necessarily rigorous education?
For background, I grew up in the middle of nowhere midwest, where learning math was shamed if anything.
I'm on a gap year now and I'd like to learn a lot more before uni kicks me to the curve.
I've "unrigorously" taught myself a lot of calc and such and had a Calc AB course. And Ig I feel pretty confident in it? But simultaneously I'm worried that the Calc AB course didn't cover much and that for what I have taught myself, it wasn't thorough.
What I plan on reading is Calculus I & Calculus II by Apostol, and Vector Calculus, Linear Algebra, & Differential Forms by John Hubbard
My uni gave us a pretty thorough glance at linalg, diff eqs, and a bunch of other stuff, but I'm not even sure if that was just shortened.
We do the entirety of Calc, Lin Alg, and some other stuff in one term or a year, forgot which one.
@random spear where u from bro
@shut grail misery.
But most people spell it Missouri :P
Really hoping that COVID-19 will finally disipate next year so I can finally get out of here and head to California...
Also one more question, does anyone have tips for focusing on a book?
Reading the preface can give you a good idea on the author’s intention with the book and the relative difficulty of the content and exercises. Definitely read through that and make sure you fit what the author describes. Sometimes the author might also give a way to denote which exercises in the boom are necessary for fully understanding the theory. Doing those exercises, and just doing exercises in general, helps me stay committed to a book.
I’ve personally never read these books, but I’m sure they are good for what you want. Additionally, taking good notes from a book helps me stay really invested.
@random spear ah I see. I’m from California. Cuz I was about to say, I know uni’s out here in CA implemented linear algebra and diff eq into one course for a term
Hmm never bothered with notes, but Ig it does* make sense that I'd pay more attention to what I'm reading and focus.
Yea haha Caltech does that.
Cuz my old uni and my current uni in CA I notice the undergrad programs do it for sure
Oh weird. A lot of my east coast friends told me that they don't, so I wonder why that might've happened.
(Preemptively saying I'm very much aware of the physics servers existance, just want extra input) Hey guys, got any general physics book recommendations
Like as an intro physics book?
@long bear we were actually talking about books over there earlier. If you're looking for some, tag @novel iris
And f
We love autotag.
aight
Well I guess he'll come here eventually anyways lol.
I'll shoot them a pm
anyone have a good link to the rules/laws of arithmetic algebra ?
Is calculus by spivak a good book for analysis?
So ambitious! Good to be ambitious.
Its not an intro analysis book
Its a calculus book
It is great for a second course in calculus or an ambitious first one
um
Yea it's a calc book but it's definitely more analysis-y than your standard calc textbook.
I have never had more ambition than making it through one page. Let alone thinking a few books ahead.
What would u recommend as an into analysis book then
I have never had more ambition than making it through one page. Let alone thinking a few books ahead.
@plain flame xD
It wasn't made for that but I'm using it the more colloquial sense in that it's definitely got more analysis flavor to it than say something like Stewart...
You can try Terrance Tao's book if you want to try a book that's made as an intro to analysis.
I've seen the problems though in Spivak and I'd argue that they are harder though.
You can try rudin to it's technically an "intro to analysis" textbook.
Analysis I and II
No.
But I've seen some of the problems though
Of course some are more challenging than others but they aren't that bad compared to something like Rudin that just kind of has problems that are difficult right out the gate.
No problems to sort of easy your way into the difficult problems in the case of Rudin.
Tao's got those problems that make it easier for you to get adjusted and then the problems in the section get more difficult.
Ah thats nice
I'm not a fan of Terry's book
At some points he's overly technical on things that don't matter that much at an intro level
Spivak, Pugh, Apostol, Rudin all seem to do a better job
stop max youre making me aroused
does it exist
has some mad lad
done it
sounds like thousands of pages
good god man
I feel surprised no one has
Is it a copyright thing
I feel like I could start a github
like
And people would get it done over time
if a huge group of ppl do it
and then have some editors check it
it should be possible right
Yeah
I dont see why theres no open source project for it
If every math major at a top 10 contributed 1 page
It woukd be like instantly done
Probably slower
Seems like you could build a community for it
In 2002[12], lecturers and students from the University of Plymouth MediaLab Arts course used a £2,000 grant from the Arts Council to study the literary output of real monkeys. They left a computer keyboard in the enclosure of six Celebes crested macaques in Paignton Zoo in Devon, England for a month, with a radio link to broadcast the results on a website.[13]
nice, if everyone does a page, i dont have to do any
I guess
Idk
Id bet there are 500 people who want this
Enough to do one page
Might as well just pay like 10 ppl
At that point
the thing is
you need relatively high skill to latex a math document
and you dont want to pay that much
i wonder if a symbolic fee would incentivise people who want it done anyway to do it
You can buy an hour of their time w a slice of pizza
sounds like child labor
They are literally not children
thats why it only sounds like it
You underestimate the infinite energy inherent in a broke freshman imo
Freshman me did extra work for fun
Sad
Nice
I wish I had some results to write up
I should be writing the slides for my talk actually
Hey guys, I assume there's not much difference, but can you think of a HS statistics book that is pretty cool?
@flint forge Lol I thought you didn't like Rudin
Also there's another book that I think officially replaces it as the correct answer
I was looking the other day at Igor Kriz's website
And turns out
The book begins at the level of an undergraduate student assuming only basic knowledge of calculus in one variable. It rigorously treats topics such as multivariable differential calculus, Lebesgue integral, vector calculus and differential equations. After having built on a s...
I still can't get the PDF
Would you teach analysis out of this book?
If you could choose any book?
@marble solar it's on libgen
O'really
YEE
I did look at libgen but didn't see it the other day
It's been on there for a while
Well moonbears is technologically illiterate
I only learned latex because my grad professors made me
In undergrad I didn't like using staples, so I would fit the entirey of my problemsets and solutions on 1 page hand written
You can use scihub for getting springerlink books
But yeah this book is probably what I'd use? I mean if there are curricular choices wherever I'm teaching which wouldn't fit well (e.g. this book mostly does Lebesgue integration)
I dont like rudin because of the typesetting
Then no. But otherwise as far as content is concerned this seems best, it fully subsumes Rudin and Spivak Calc on Manifolds
I don't like Rudin because it's notes for a lecturer to fill in the details and the lecturers don't fill in the details
So if you're confused it just doesn't help
I mean subsumes Rudin is tricky to say, it spends like 30 pages on single variable calculus
If I taught undergrad Real I'd say pick your choice of Rudin, Apostol, Pugh, Tao, and Spivak's two books are great references
Actually yeah the way things are split up it's actually still reasonably complete
I'll look at Igor
I think one thing should be emphasized is that rarely one reference is enough
Marsden and Hoffman is my go to for undergrad analysis
I think it’s really clearly written and very thorough
His <a,b> for interval is annoying
Yeah that is really annoying
Props for convex/concave functions in the first section
They really need to be treated early
Also Kreyzig is a clear intro to functional analysis which is accessible to undergrads
As far as I can tell this is a first rate text Sloth King
Yeah I don't like that notation since I use angle brackets for inner products
And [a,b] isn't used anywhere else that I know of
I really like the extra time on Implicit and Inverse Function
Also that analysis text looks crazy
500 pages, real & complex functions, functional analysis, and Riemannian geometry???
Well honestly the complex analysis part isn't bad
Like it covers more than my dedicated complex analysis class
Yeah but what a selection of topics
Are you taking grad complex Sloth?
No I meant my undergrad one
Honestly my complex analysis is kinda lacking in general
I did 4 quarters of Complex Analysis and it's still lacking
On my end it's weird
I kinda did it 4 times but really more like once?
In my first year my physics TA did some random Sunday sessions for some of us in complex analysis
But I really wasn't there yet
And he was fucking fast
I remember our, I think second session, we did 20 theorems in 90 minutes
I think my issue was that it was my first graduate sequence and I wasn't entirely prepared for the difficulty - I did fine in the coursework and on the exams, but when I left LA I found not much of it stuck w/ me
So like that happened and I sorta knew a lot of nice theorems were true but that's about it. In the summer analysis bootcamp, I was sorta annoyed by our book's treatment of the subject, the lecturers weren't great (students were lecturing on the topics), and the psets were painful
So I sorta did it but not. Then I finally took the undergrad class and it was slow, also (and I loved this but it might contribute to my overall oofness on the subject) we didn't have many computational problems at all, never really had a contour integral at all
People say papa Rudin is a good reference. I'm a huge fan of Ahlfors, and I liked the parts of Marshall that I read
Terry is teaching intro to grad complex right now - so his notes are on his blog
He did more like winding number problems
If you want to go through it whenever you have a qual sloth
And then I took grad with no psets
Oh I'm done with my quals, I only had to do 2 lol
So I knocked both out last year
Oh nice!
(Algebra and algebraic topology)
(No I don't know algebraic topology I just winged the shit out of it)
Were they difficult at Madison?
Algebra qual was a joke
Did you do the H sequence at Chicago + grad?
I did honors algebra at Chicago, this was enough for that qual
I didn't do first quarter grad algebra because the prof was notorious for giving undergrads Cs
So our undergrad director was not too happy with the idea of my taking that along with another grad class
Sounds about right. I did the H at LA, and I got out of first semester algebra in my MS because of it. My undergrad alg. and my algebraic curves prof. had the same advisor so he kinda just let me in algebraic curves
(This was first quarter 4th year, when I would've been applying to grad school)
In hindsight I kinda wish I took it, I feel like I could've maybe pulled it off? And the material of that is really really cool
Noncommutative algebra, rep/Lie theory, etc
It's a good call to not tank your GPA going in as someone who thoroughly tanked his undergrad GPA
Second quarter is commalg/AG from which I learned nothing lol
And third is algebraic number theory and I was so checked out that quarter that I only went to the first 2-3 lectures
But the psets were self-contained and honestly I got a decent bit out of them
So yeah technically I did 2/3 of grad algebra at Chicago but... did I really? Idk
Third quarter at LA was Galois theory. Peterson was teaching Riemannian Geometry at the same time, and I was talking to Peterson. I told him I wasn't really liking algebra too much and he told me to take Riemannian. So I never finished the sequence in Algebra
Honestly I wish I was as tuned in to my classes 4th year as I was third year
I think H classes just drain your motivation/energy/will power
It can really be overkill
Like, I would've more properly learned algebraic topology, geometry, and number theory. Prob would've started off much faster here lmao
I think profs. should think harder when they assign their hw and exams. Really burns a lot of bright students out
My undergrad H analysis prof. thought he burned me out and turned me away from Math
This is the book used for H algebra at LA
My grad algebra is using Aluffi with Dummit and Foote as a secondary text
I like the exercises but they feel necessary for the full understanding
Not an enhancement but a requirement
I see
Has anyone read Linear Algebra: step by step by Singh? Is it better than Axler?
Axler is awful imho, passed my course with Hoffman & Kunze but that one's definitely aimed at math majors
So do you know a good book for a beginner?
you might want to check out Jim Hefferon's, it's available for free on his webpage https://hefferon.net/linearalgebra/
Free Texts Mathematics and Computer Science, and more, from Jim Hefferon
Ok thanks :)
Which should be good for beginning with complex analysis ?
A lot of people I know vouch for Churchill’s Complex Variables. I’m reading Complex Analysis and Riemann Surfaces by Schlag rn and it’s okay
I'll check them out thanks !
No problem!
I think Ahlfors is a classic choice
Hope it helps I haven’t read too much complex though
But probably Churchill and brown is better for beginners
I’ve heard that’s good for beginners. Schlag probably isn’t unless you’re strong with real analysis techniques
Hello , what do you think is a good resource on complex analysis ?
Ah we were just talking about that. Churchill, Ahlfors, and Schlag were the three we ended up discussing.
Oh, cool, i am looking for an introduction on complex analysis
Which do you think is better at that ?
Out of those 3, probably Churchill
Thank you, i will check it out
Yeah I’d agree with that. Churchill is probably best for a first introduction
A good book on linear algebra?
You read his book? What do you think about it?
Good linear algebra books for me have been Hoffman and Kunze, Halmos, and Mostow and Sampson
Hoffman and Kunze is the one I use for my graduate linear algebra course but it has plenty of material which is accessible from and undergrad perspective. Definitely treats it from an abstract perspective. For a numerical leanest algebra book I really like Ipsen. Very short and clear
H&K is good for a math major (maybe a honors-level course in some unis) if you skip some stuff like the entire chapter on the Jordan form. When I took linalg we followed that book verbatim but skipped Jordan and only learned how to compute that
Jim Hefferon's book is pretty good at a more introductory level https://hefferon.net/linearalgebra/
Free Texts Mathematics and Computer Science, and more, from Jim Hefferon
Axler is bad
Hoffman-Kunze is good
Linear Algebra Done Wrong is supposed to be good but idk it
Why would someone want to do linear algebra wrong
Linear Algebra Done Wrong is supposed to be good but idk it
@sage python I've heard this as well, I think the title is a play on how most linalg courses are structured (iirc LADW does determinants almost immediately after the first chapter on linear systems while Axler's LADR does them at the very end for some reason)
it's freely available as well so if you have any doubts just skim over it and see if you like it http://www.math.brown.edu/~treil/papers/LADW/LADW.html
Linear Algebra Done Rong
The proofs are a bit strange but I am enjoying Intro to LA by Lang
The examples are pretty good
Yeah so basically Linear Algebra Done Wrong was written because Treil agrees with me that Axler's treatment of determinants is fucking stupid
Hmm
It's a bit matrixy for sure lol
To be fair so is Hoffman-Kunze
I've never seen a treatment of determinants I find satisfying that does not involve either hypervolumes or exterior algebras
I mean tbh I think the answer is just introduce exterior stuff from the get go
(I'm assuming here a math major linear algebra class ofc, if it's engineering than tbh you don't need it to be satisfying so just teach them the computational definition and roll with it)
I like chapter 6 of this book at a glance
"It's the unique thing with this giant list of properties. You don't really want me to tell you the list of properties. But if you don't believe me, read this. Then you will believe me."
This doesn't talk about the minimal polynomial which makes me 😠
my experience is definitely that the hypervolume notion is the one that is most useful in understanding the hard places the determinant comes up, like ANT.
Yeah this book seems alright but idk
I guess it sorta delegates certain topics to algebra?
Which I don't necessarily think should be
Mainly treatment of fields other than R/C, and anything at all about polynomials
Aside from char poly
I've like LADW and I got the ame feeling that it really likes to restrict stuff to matrices and doesn't really want to abstract things like at all.
For what it does I think it's organized somewhat better than Hoffman-Kunze
Hefferton seems pretty good and I almost used it.
But I chose Friedberg cause I thought it did a decent mix of trying to be LA - i.e. dealling with matrices - but also not straying away from the idea of abstraction so much.
I don't know Friedberg lol
I think it's pretty good.
It has a level of abstraction similar to Axler but it deals with determinants.
I'd say Axler might be a little more theory and abstraction but Friedbergs pretty good too I'd say and it has good applied exercises some really cool applictions i.e. such as those relating to relativity.
I think it's a pretty good book imo.
any germans here, who read Stefan Hildebrandt's 'Analysis 1'?
Heard about that book a few times already.
the sooner i finish Velleman, Ill def spend more time with my analysis texts. I just want to get thru Velleman so I can actually spend time doing the proofs exercises properly at the end of the analysis chapters
but the analysis texts I been focused on for now are Schroder, Abbott, and Apostol.
Ayye
Nice
Now you can occupy #advanced-analysis like I did when I read stephe abbott

yA best channel
any recommendations for books on the application of linear algebra?
looking for something that talks about how linear algebra is used in fields of science and in tech
so like physics, chem, biology, computer science, engineering, etc
a book that gives an overview of how linear algebra is used in these fields would be great
Maybe a book discussing linalg in multivariable calculus
Since like, isn't det used literally everywhere
Flux requires det in the integral
Jacobian is literally a det
So wait isn't basically usub Det
im14andthisisdeep
(not actually 14)
literally just take a good mvc course
any recommendations for books on the application of linear algebra?
@nocturne crane I read Carl Meyer's "Matrix Analysis and Applied Linear Algebra" for the "matrix analysis" part (Perron-Frobenius stuff mostly) but it's structured in such a way that it includes an overview of all the linalg you need to know (even though it's meant as a book for a second course in linalg) and every chapter has some applications of the topic at hand. It's a great book
it's not really a book about applications of linear algebra but certainly something that any aspiring applied mathematician should read
Any abstract algebra text which a high schooler can understand?
Artin is a good book and probably the best place to start for a beginner
artin is good but it does expect a bit of mathematical maturity going in
ie either prior familiarity with proofs or the ability to pick them up with minimal aid
i dont think it gives an explicit introduction to induction for example
it just starts using it (and some students, of course, will be able to learn from example + consulting other resources)
I also would go with Pinter, as I’m using that rn
True. Abstract algebra is probably best the perspective of someone with some amount of experience in proofs and abstract math
@timber mesa I'll take a look thanks
Is Pinter better than Artin?
Definitely not lol, Pinter is like... Borderline deficient tbh
It is a bit more accessible than Artin but honestly I don't think algebra should be your intro to proofs anyway
i agree, hartshorne should be
It seems a lot of people’s intro to proofs are linear algebra.
Or some comp math experience in grade school
Didn’t happen for me lol
Well for kids my gen anyway
yeah for some reason people conflate "proofs" with their HS geo class, proofs in quotes b/c those are awful
I never learned shit in grade school unfortunately
as for proofs in "college"/"higher" maths it depends on the major. For math people it's usually their first calc/analysis class and for like engis and stuff it's their discrete maths class
Except how to read and write lol
Discrete maths for me just went over induction
Very Briefly
I only know the bare basics of proving stuff sadly (induction, contra, direct) and wouldn't consider myself proficient
I have managed to prove a couple of problems before and a couple of theorems
The nice thing about proofs imo is that you don't have to memorize them if you understand their core or getting it started
Since after that it is just fitting pieces together
at least how I feel

yeah I feel like learning proofs is essentially that; you learn both the language and intuition behind mathematics
My first class after my intro to proofs was real analysis. Most people went to either algebra or linear algebra after intro proofs though
my department doesn't have an "intro to proofs" class but it was a part of first semester analysis
boy did it help
I feel like I learned a lot more about proofs in intro analysis honestly
I don't think "proofs" should be taught in isolation really, it's all about why would we want to prove stuff and how do we go about it
even Hammack's Book of Proof (which I followed back in the day to learn proofs) essentially introduces divisibility and modulo arithmetic for the sake of creating interesting problems: http://www.people.vcu.edu/~rhammack/BookOfProof/
Having a motivation definitely helps
My intro proofs books were mostly basic number theory and some intro analysis and algebra
Like it introduced sequences and modular arithmetic a little
I feel like that's exactly the moment to introduce proofs, in an intro analysis or elementary number theory class
if I were in charge of designing the curriculum for a math major I'd put exactly those two in first semester with a focus on learning proofs well
At my uni analysis was considered the toughest undergrad proof class
So a lot of juniors took it
By that point you would likely have lot of experience with proofs
That was the idea anyways. We spent a lecture going over proof techniques and there were lots of in class examples from my professor, so I felt like a learned a lot more about proofs in that class than my actual proofs class
Most intro to proofs class isn't really all proofs.
It's showing you proof methods but also introducing you to basic results that you can prove in a variety of different areas of math; at least that's how it should be.
There's no real reason to have a whole class dedicated to necessarily the proof techniques.
Yeah that sounds good
Cause those can be covered really in like 2 or 3 weeks.
A lot of these classes are called “Intro to advanced math” or something like that
My class we proved some basic result in a variety of different areas.
Cause those can be covered really in like 2 or 3 weeks.
@quartz pawn that's exactly how it goes in my department lol
Supposed to be a kind of sampler of techniques and topics
Yea
Like how a lot of physics departments have “modern physics”
Introduction to a lot of techniques and topics, but not in depth on anything
in our calc 1 (probably more similar to analysis 1 in some euro unis) we skim over set theory, logic and then proof techniques directly stem from the fact that e.g. $$P\implies Q \equiv \sim Q \implies \sim P$$
bastian.uwu:
At my school, we didn't do that and I don't think it's standard in most schools in America.
I have friends who went to clemson and USC and they didn't do that.
At least they didn't mention it.
I just asked what they learned there and it was standard calc sequence stuff like at my school.
yep, in American unis I think it's more usual for the calc series to be mostly computational and then junior analysis is "rigorous calculus" and maybe an intro to metric spaces
oh well can't speak for sure
No, it's not. Most of the time it's junior or senior year level
It's only freshman/sophomore for people that are coming in prepared/motivated for math
are you talking about math majors
Real Analysis has a 50% fail rate across the nation, among math majors
That's pretty crazy
Err..approximately that
Yes I am talking about math majors Archsys
Most math majors aren't ahead of the schedule
i come with calc credits and i don't even get close to real analysis
like
my sophomore year will have this thing called "advanced calculus" which should be like
baby real analysis
i have to take two semesters of this "advanced calculus" before i get to take Real Analysis
principles of real anal?
@broken meadow https://www.youtube.com/watch?v=FSnuF1FPSIU
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coming in
The Real analysis course via Rudin used to be a graduate course. You'd take advanced Calculus your junior year - and then senior you take like fourier, pdes, and complex variables. Then in grad school you take Rudin
lol what
You can see this in the preface to Rudin where he said this is for graduate courses
my irl friend sent me that vid too @valid moth
Yes
that makes no sense
Baby Rudin used to be the standard first year grad real analysis

The curriculum changed in the late 70's and early 80's where schools phased out the advanced calculus course
invite them to this server so we can listen to music
but they left for some reason
Go open up rudin read the preface "This is an introductory graduate course in Real Analysis, or for advanced underclassmen"
something along those lines. If you have an old copy of Royden, it's the same
Yeah, advanced undergraduates or first year students
That's no longer the case, since the standards changed
true
Some schools still have advanced calculus courses instead of real analysis
But yeah wait isn't Royden a step up from Rudin kinda? With its measure theory?
Well Royden was a professor at Stanford from what I can recall
those are like magnet schools though
So not exactly your standard first year program
sorry high schools
hah pleb
The 20th century in general lmao
mfw there are hs teaching kids complex anal in 11th grade 
It's interesting, even abstract algebra has changed greatly since like the 60's
For undergrad curriculum
But yeah it's insane how fast that has changed
Vector Calculus used to be junior/senior year course
https://www.youtube.com/watch?v=o7zEwssiSVE they have pancakes
but pancakes is not listed on the menu
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letting go · potsu
just friends
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@lost fjord
I'll send this to them as well
There are books that detail the change in undergraduate mathematics education throughout the 20th century
They're really interesting to read
send them this @lost fjord https://www.youtube.com/watch?v=DTIZikaOTDE
The Tiny Desk is working from home for the foreseeable future. Introducing NPR Music's Tiny Desk (home) concerts, bringing you performances from across the country and the world. It's the same spirit — stripped-down sets, an intimate setting — just a different space.
Septembe...
I kinda feel like nowadays, it's pretty much required for undergrads to have Baby Rudin level real analysis, associated level of complex analysis, some interaction with topology, and intro to algebra, like group theory and linear algebra at minimum
There are books that detail the change in undergraduate mathematics education throughout the 20th century
@marble solar I find that topic very interesting, any recs?
To the end of going to graduate school, missing any of those feels like it's bad news
Hrmm..none that I recall. I read these a few years ago now
Most ppl don't cover that @sage python
And then really to be competitive you have to have at least one of intro to grad algebra, analysis, or topology
I feel like Royden is an easier text than Rudin, but it probably goes more in-depth with measure and Radon Nykodym stuff
Most people coming out with a Math B.S. are coming out of liberal arts or large public state schools that don't offer that many advanced courses
Very few Math Majors in terms of percentage wise have that experience Sloth King
I mean I'm talking among people who wanna go to grad school in math, and at a "reasonably good" place
But then again very few math majors get into top grad programs and produce research
Like what do you do if you're coming out of Reed?
what's reed
Reed I think is uniquely good at producing grad students actually
Like they're the exception among liberal arts colleges
in your opinion what are reasonable good places
i'd say don't aim below MIT
But yeah like, I only got Wisconsin/Washington/Notre Dame, out of 15 schools, and at the time of application I had already completed and received As in a bunch of math courses
Especially in analysis
By that point I had taken undergrad honors analysis, undergrad complex, grad functional, grad complex, and a seminar in geometric measure theory
Is that too much to ask?
imagine not doing geometric music theory instead
this is why you didn't get into princeton
I don't want to seem weird. I assumed you were from Denmark.
I am from America
lol
It sounds vaguely like Daminark
Archsys: that is possible
But yeah I didn't have as many courses in algebra and topology at that point, basically just the undergrad honors algebra class
But I did a reading course in algebraic topology and my REU paper on elliptic curves/number theory so idk
I felt like I hit all the main points reasonably well, and analysis hard
If eu students want to apply, do they have to do it te year before getting their bachelors
Obviously Wisconsin is fucking excellent
man
And my GRE was 77th percentile which is still in the zone where it starts to hurt for top 6 schools
i have no idea what im doing
who's excellent 😳
wait, dami is excellent
But yeah point is like, 3/15 is a low success rate
(Well I had pulled back apps from 3 places, let's say with high probability I was gonna get into Rutgers, with less probability Penn and Minnesota)
Anyway idk I feel like it's fair to say that hitting the main points in undergrad analysis/algebra/complex analysis/topology, and having at least one at grad level, is probably necessary for going to a top 25 school. And I'd almost wager it's hard to go to a top 50 if you're missing, maybe more than one of the "main points" courses
Probably
If you see that all Calculus books say "With analytic geometry"
That's because the calculus sequence used to be 4-5 semesters
with one semester dedicated to analytic geometry
It was Thomas at MIT who came up with a way of shrinking it down to the three semesters in the 50's/60's
If you get an early edition of Thomas' calculus it says this in the preface
Yeah, but the thing is if you're at Reed or Mudd, or something you don't have the whole list of grad courses to take like ppl at Cal, Harvard etc. have
So you have to have a way of evaluating well-prepared students coming from these very good, but smaller schools
But @sage python UCI, UCSB, U of A, and Boulder are top 50 and students regularly get in without too much advanced coursework. They usually offset it with Good GRE scores + REUs
But I agree that modern day you really do need to finish ur algebra, analysis, complex, top to have a decent shot at it
@timber mesa http://www.ams.sunysb.edu/~tucker/MathHistory.pdf I read this and a few other things
UofA lol, it's an interesting place. I feel like a lot of schools in that zone have one thing they're disproportionately good at
It is a very interesting school - they're really good at a few things, and not so great at many things
UofA is number theory, Utah is algebraic geometry, Stony Brook and Notre Dame are geometry/topology
UofA has some really good analysts there too
like Sunhi Choi
Which is why I'm applying
Interesting, yeah idk analysis was off my radar for the most part when applying. Like I mostly looked for having a couple interesting analysts, and mostly as a bonus
e.g. I was originally hype af for UCLA, less because of Tao and more for the functional analysts there
I remember there were 2 in particular that made me swoon
Sorin Popa
Dimitri Shlyakhtenko
imagine liking multiple kinda of mat
Normally I used to say I liked most math except logic and differential geometry
@timber mesa http://www.ams.sunysb.edu/~tucker/MathHistory.pdf I read this and a few other things
@marble solar thanks!
Math Ed. and the history of math education/curriculum is a super interesting topic
Too bad they both get bad reps
Except I think I have inadvertently let myself get roped into geometric analysis
So tbh everything except logic
And who knows maybe if I ever think about operator algebras too much I'll get roped into continuous logic or smth
No math is safe from me
Yeah! Math history rocks
I need to get better at making definitions for problems im working on
Hi. In the advanced channels section, there is a "topology-and-geometry" channel -- tbh I never thought of topology as something related to geometry. Is there a good book which makes the connection?
It depends on what you mean by geometry
But Topology is a really powerful way of thinking about geometric things
In fact, you'd be hard pressed to do any geometry today without somehow using topology
I've never studied advanced geometry, really. I had an introductory to differential geometry course. I've used topology only in a measure theory and a functional analysis course.
The connection between topology and geometry wasn't clear to me from those things.
How do you define a manifold?
etc.
The modern foundations of geometry are in topology
In some sense
Hmm... Is that the reason why the two are connected?
The concepts are sort of entangled together - Topology gives you a very precise set of tools, and linguistic description to otherwise near unimaginable and indescribable events
Alright we're going off the de\ep end. Yeah there are introductions to topology with pictures
I think Hatcher has an introduction that people seem to like
Be warned - what Topologists describe as what they study in youtube videos can seem very far removed from the basic definitions of what a topology is
It's kind of a slow train moving and you finally get to your destination
That is something I've noticed already based on the topology I had to study for functional analysis and measure theory.
All that stuff is basically just the setup that you need to describe wacky things like alexander's horned sphere
Ok.
horny sphere 
o boi
uwu
which course or book will you people suggest for an overall understanding of linear algebra? I am learning this for machine learning and deep learning
currently in the 4rth lecture of 18.06 but I find the concepts a bit scattered. Might be my problem though, I am a complete newbie.
Jim Hefferon's book is pretty good at a more introductory level https://hefferon.net/linearalgebra/
@timber mesa I suggested this one a while ago
Free Texts Mathematics and Computer Science, and more, from Jim Hefferon
What book does 18.06 use?
Strang?
seems like the book focuses on linear algebra problems more than the abstract part of it
Prof Strang does a brilliant job at that
I guess a more concept oriented book will be better for me atm
What book does 18.06 use?
@sage python http://math.mit.edu/~gs/linearalgebra/
Most of the more conceptual books I know are a bit over the top for someone whose main goal is machine learning
Like it's damn good stuff but the treatment might be inefficient toward that end
I get it
yes, being a complete newbie, I found linear algebra to be so interesting to dive into just for the sake of the abstract part of it
but yea, my main goal will be machine learning and deep learning in the near future
thanks for the suggestion though
I appreciate it
Hmm
If you want to learn some of the abstract part
Here's one people seem to like that's geared as intro to proofs
(I was wondering if you wanted this, which is the treatment math majors would have, vs something that's still "conceptual" but not necessarily "proofsy")
But having a bit of both would def be healthy
And if at some point proof-based linear algebra becomes too much of a detour you can buckle down on 18.06
thank you
does anyone have a pdf on basic number theory?
all the ones on the internet are complicated
I need one for like an Olympiad problem
nvm i got one, but pls send me any you know!
(I beg you 😭)
Burton's Elementary Number Theory is pretty neat as well.
Apart from that if you need something geared for olympiads, you can find many recommendations on the internet.
Lemme see which one's I have
I am a student rn and i can't really afford any books, do you have any pdfs?
(i know i sound needy but i have an exam in a few months so im really tensed)
try libgen
You can download PDFs from Libgen
Library Genesis is a scientific community targeting collection of books on natural science disciplines and engineering.
what do i search exactly?
Name of your book
you can download books for free in pdf, djvu or epub form from library genesis and bookfi
Burton's Elementary Number Theory is pretty neat as well.
you can download books for free in pdf, djvu or epub form from library genesis and bookfi
@pine igloo yea but i don't know any good books
You just got two recommendations 
Number Theory: An Introduction to Mathematics by W.A. Coppel
they dont come up tho
I'm pretty sure Burton's there
the book I gave you its name is kinda advanced, although it starts from elementary stuff
I'm pretty sure Burton's there
so search for this
And I'm pretty sure the other suggested title must be there too.
no wait i got it

yea yea i got it
Library Genesis is a scientific community targeting collection of books on natural science disciplines and engineering.
thx guys!
No problem.
"Mirrors"
After choosing your mirror, you'll get a download
On the page before, it said the file extension of what you're going to get
which one?
On the page before, it said the file extension of what you're going to get
@velvet briar where?
oh
yea
yea found that, pressing random buttons hope it works
Welcome to the internet
It is actually not easy to get to the shadow realm
(wait the shadow realm is actually a thing? I meant it as a joke)
(Dark web)
You got the book?
(responding to @quick hornet from Sep 11) HyperRogue could be played on an Euclidean hex grid, yes, but it would not be a good game. You could not escape from a group of enemies in the Euclidean hex grid, but you can in hyperbolic geometry. And the map would be very boring if you could not fit an infinite tree into it (there is an Euclidean mode to test this)
Renteln's book is the best intro book for differential geometry don't @ me :-
@tall sky yeah, in hindsight thats a good point
what are yalls thoughts on George Casella and Roger Berger: Statistical Inference . I tried Ross probability models but i felt like it lacked motivation and the chapters dragged on
Personally I feel like your general intro to stats and probability book is very dry. The problems also aren’t very challenging.
If it is a prerequisite your trying to get through and you don’t have too much trouble, seems like your doing ok. I use Walpole’s probability and statistics for scientists and engineers but even looking at other books, seems like it’s really just pick your poison.
Personally I am a bit concerned when I am ready, that I have the right book to use for Stochastic Processes, which is basically where I hear the fun begins from all the time you spend learning all that dry material from probability and statistics, and additionally numerical methods.
There's the classic Probability with Martingales from D. Williams, tho I'll admit I haven't looked at it much (and first part of the book seems to be about reviewing proba, second is martingales). I've seen it recommended in almost all my classes, as well as numerous times online.
Karztzas seems to be a classic as well, more about Brownian motion tho. Don't know either if it's good but I'll check it out soon probably.
An other book, that I haven't looked at but suspect it may be good since the author writes quality lectures is Brownian Motion and Stochastic Calculus from Jean-François Le Gall. I'll also check this one out very soon so I'll be able to give a genuine answer as to whether it's good.
Durrett's Probability:theory and examples seems to be an other classic, more general this time, that I also haven't checked out.
Lots of books that I haven't read but will since I looked into it only recently. Three of them are apparently "classics" so they may be suited to your needs
Anyone has a book recommendation for functional analysis?
Since you're learning some measure theory
Personally I am a bit concerned when I am ready, that I have the right book to use for Stochastic Processes, which is basically where I hear the fun begins from all the time you spend learning all that dry material from probability and statistics, and additionally numerical methods.
@hearty steppe IMO the fun begins when you study algorithms and get to learn all of these cool probabilistic algs
Try this one: https://www.springer.com/us/book/9783319585390
This textbook provides a careful treatment of functional analysis and some of its applications in analysis, number theory, and ergodic theory....
I didn't use it myself but my class used a mix of things, and at the end of the class my prof was like
Damn I should've used this one
My main book was Brezis which is p good
last chapter is on prime number theorem 😮 surprising for a FA book
Dami, how does me learning some measure theory relate to that book?
Does it assume measure theory?
ok
I like Stein's functional
if you can call that functional
I mean the book is titled functional analysis, so is it functional analysis?
What is a solid introduction to probability book?
Measure theoretic? My class is using Durrett
Stein and shakarchi volume 4
chapter 5
See it's got everything
Those are pretty high level
Never learned probability without measure so idk
I think Ross is fine for intro. Any intro prob stat book is going to be very dry and you'll find yourself getting bored of the meticulous level of difficulty of the problem sets. If you want to really do interesting stuff with prob stat, learn enough to do stochastic processes
you can probably get away with using the book im using, which is Walpole
Is it okay to study Probability with measure theory without experience in non measure-theoretic probability? If so, is shiryaev's probability a good book for this? I'm asking because I am almost done with Tao's Analysis I (I'm actually doing the 2nd part too at the same time). I can't bear to read nonrigorous books anymore lmao.
thats what I did so yeah I think its fine. but at some point it pays to go and learn about all the pdfs and classical distributions and stuff, which you don't usually get from a measure theoretic probability book.
Hello I have started to read the book How to prove it. It is well explained but there is not any answer to exercises. Then I go on internet here: https://www.inchmeal.io/htpi/. Then I have two questions: 1 do you think the solutions online are correct? 2 Is there a book like this but with solution included? Thanks.
Can I ask again in proof and logic?
Sure
@hasty turret sure I can ask?
That server exists for doubts on proofs
@gray gazelle those solutions are correct as far as I've gone
They are quite old as well I believe
but the mod keeps viewing comments
makes uh revisions when necessary
sol 2, b :
F = I’ll have fish.
C = I’ll have fish.
instead of F = fish C = chicken
@long bear his github has no blog https://github.com/0vais
I can not correct him
@long bear do you know what is github?
You're able to comment at the bottom of every solutions page
And yes I know what github is
Although I have no reason to use it.
Which problem are you having trouble with?
Looks fine to me.
oh kekw
Yeah just scroll down
and write it
🤦♂️ me irl lol
lmao i'm an idiot
but yeah theres a comment section
at the bottom of every page
Good day. Working on Triangulation algorithm for low poly shapes. Is that book fine for this ? 🙂 https://www.amazon.com/Voronoi-Diagrams-Delaunay-Triangulations-Aurenhammer-ebook-dp-B00GNTCKIM/dp/B00GNTCKIM/ref=mt_other?_encoding=UTF8&me=&qid=
I'm also in need of a book
I don't like Lang's introduction to linear algebra
Any alternatives
I mean I can get answer online. But I want a step by step book for solutions
Is there a good book/resource for recurrence and generating function type probability questions?
My probability course has a ton of these questions and recommends Sheldon Ross for reference but I can't find any questions of that variety in it
You might like generatingfunctionology
A bit above what I need but it looks interesting, thanks!
Pretty sure generating functions are a pretty big deal
Just google it
Also on Libgen
never heard of zlib before :o
With Intro to LA by Lang I didn’t waste my time reading most of the proofs. The examples are spot on
His proof writing is strange but he gives some great examples compared to other LA books I’ve read
Can you suggest me some real analysis problem books for putnam
I know Putnam and beyond...but i need more
Both hard and moderate problems on real analysis
Putnam is that collegiate Math IQ test right? Just go through an analysis book I'd imagine. Why take shortcuts and use test prep books lol. Just power through the actual textbooks on the topics.
I'm not sure I'd call it a "math IQ test" lmao
its a competition
there's a correlation between competition performance and performance in mathematical coursework (or research), but its not one-to-one
wealth
every time a quora link pops up in a google search, i start hating myself for stooping so low as to search up a question that someone on quora would ask
nah i only score 70 on iq tests
What is Putnam
I thought it was a book (or rather an author) when guy above mentioned it
a math competition
Oh so he's looking for prep boojs to it 
excellent deduction chief

