#book-recommendations
1 messages · Page 241 of 1
yes it is
its almost too numbers based at time lol
There is a degree of randomness
It can be a little random but you dont randomly get in to a top school
Explain how I got into a program with 2.95?
It is not entirely random
with TA ship
Thats masters tho
A couple of us had gotten hyped about calculus and basically asked our teacher to do it asap since we thought it was cool (we were physics people at the time), she wanted to do the group theory but decided against it since she felt our class wasn't good enough with proofs for that
Im saying funded phd
So yeah idk we did the topics in a weird order
There is some randomness but they dont choose just anyone.
But very small programs offer masters TA ship. Still hard and random
Nah
Randomness in grad admissions is as a result of, there are more qualified people than there are spots
My point was he wouldve likely been overlooked if they required the gre
Seems fairly standard except for discrete math and groups. By discrete math, do you mean basic combinatorics?
Funded masters isn't common but also I don't think a lot of people are even looking at them
So it's a weird niche
because is not top named programs
How do you not forget the previous math you've learned?
Uh
That and also, the more common thing is to either go for PhD
practice
I forget all the time
By seeing it being used in different contexts, some ideas just stick as you do more math.
Or if you feel like you need more practice you do a masters, it's sometimes considered almost "remedial"
But it's not bad to review/refresh anyway.
If you can get into a PhD program
I don't want to use the term in the loaded way but
Let's say idk somebody goes to a school without as many resources or started in physics or something
I consider masters like a "community college degree" that prepares you for PhD
That’s why my route is to get into an “early” masters in CS and moving into a PhD
Then yeah that's where you're looking most at masters. But I think if you're at that point you probably just accept that you'll likely pay
NYU masters is consider a cash cow.
Why masters first?
After my masters, I am literally going to take a break. Probably 1-2 years.
Our college lets you get into grad school through some weird channels before you graduate
consider tteppa during that break.
And our CS dept let’s you move from a masters to a PhD, without the GRE
Oh ok nice.
Ideally I’d do a masters in CS and a PhD in math
Good luck
Good luck.
Luck.
Here we have a paid masters you can get to prep for PhD (a lot of people do it and get accepted back, also some schools have a program where their last year of undergrad at their home school is the first year of masters at UW Madison)
I'm doing cs but imma be a developer for some company
Then there's a masters you can get on the way to a PhD
i was planning to apply for a PhD program but all the deadlines were already passed.
I applied to two masters program. One of them was unfunded and the other was funded.
Did u pick the funded one?
Yea
Does a masters specialize?
They have a thesis and non-thesis option. Pure and applied courses are offered
R u doing thesis?
I'm unsure yet. I have a year decide
R u doing pure or applied?
Unsure about that too. As of now I am mixed with pure and applied
Is there any specific field u like?
Analysis is good stuff
I thought analysis was undergrad
Analysis a research interest
Analysis is an area of math
^
You start learning it in undergrad but there's still current work being done
There are five areas of math: Topology, Algebra, Stats, Geometry, and Analysis. Not sure If I am missing but these are the ones I know
Hard to really delineate like that
youre missing a few hahah
Algebra still requires research
Number theory is an area
I actually think stats is kind of its own subject since idk if there's an axiomatic characterization of the objects of study. And then like, a lot of stuff doesn't really fit under these boundaries cleanly
From what I hear analysis is a somewhat like a dead area. Unless I am hearing wrong. I know complex analysis which is something I want to do is not an active area. However, Several variables complex analysis is starting to become popular
You're hearing very wrong

Analysis is arguably the most active field of math
No one likes SCV
And yeah SCV... idk maybe it's growing now but it's not nearly as prominent as most other things
SCV is hard from what I hear.
also complex analysis isnt dead
Are you just an incorrect statements bot?
Well whenever I say I want to do complex analysis research they say is dead.
I mean
Idk if much research is being done in single variable stuff
But SCV is def a thing
also tons of complex analytic techniques are still popular
Yea SCV is probably something I want to look at and see if its for me after I take complex this Fall
Complex geometry as well
Stats isnt math
But also there's a ton of analysis that's not complex analysis
Microlocal analysis PDE, harmonic analysis
Dynamics
I mean
Operator theory
C* algebras
I feel like functional is very useful but idk if there's a lot of current research I'd classify as "straight functional analysis"
Wow awesome👍🏻
Like the theory of Banach/Hilbert spaces
Functional analysis was solved with a hundred adjectives describing different types of Banach spaces
hey thats all u need
Killer sometimes they group them up in a department but philosophically I don't think stats is a subset of math if only because your basic objects of study are not axiomatically defined
Like what's the definition of data?
So stats at the core strikes me as being more empirical than math. That's my take at least. Obviously it's a very quantitative subject but it does differ from most math in that regard (I do consider probability to be part of math tho)
Probability is math
Well Stats is applied math if you think about it
Its basically analysis
I thought about it
if you combined stats and probabilty
i think stats has enough unique practices to distinguish it
It's quantitative and it does apply a lot of tools from math but again, I think it kinda is its own thing a bit
Like that's not trashing it at all
Stats isnt math
It's quantitative and has applications
Stats is math but with data. So is really not math
But the basic objects are just different, and I think the methodology is a different style
Basically all quantitative fields are math + something
fields can have overlap with math and not be math.
But yeah within analysis I'd wager PDE microlocal analysis is the biggest
Also harmonic analysis
Probability ?
PDE is the biggest in analysis
The outstanding questions in harmonic analysis are too difficult
PDEs is hugr
I was wondering if there are any cute girls in any of ur classes who's a math major?
When i said functional analysis is big i just mean that i see a lot ppl with functional analysis/operator theory as interests idk anything about those fields tho
Bru
I think there are some people who are into it just not a lot
jeez
My department is very big on harmonic analysis
Bro it would be nice finding a partner with similar interest
This is so cringe
🤣
@gray gazelle Thats subjective but im sure youll find someoen in math if you want
I realize that
human if I'm gonna attempt to keep a straight face while answering you
you said cute girls. Could have just said "Any girls"

The further you go in math the more male dominated things become
They're all lesbians
Bro I would need to be attacted to the person
Cant comment on that
Because the straight women were all driven away by straight horny men
Now beauty is in the eye of the beholder and I don't know if I'm too fond of talking at large about the beauty of women in math
Like let's just not with that conversation topic lol
Well is there anyone most ppl would be into in?
Ur right that beauty is in the eye of the beholder but im sure we all can agree Ariana grande is hot
I have met people I consider very attractive in math, same as outside of math lol. I'm not gonna attempt to speak for anyone beyond myself or do statistical stuff because that's weird
That's lit
pics or it didn't happen
That's... creepy
Please don't say that even as a joke lol
It just pushes the atmosphere in a bad direction
My bad lol
Wym?
im not doxing my own girlfriend you creep
I was just joking but idk about him
im only referring to onenine
human are you sure a 12th grader (17 or 18)?
Max didn't even you see you say anything human you deleted first
25
✨ gay dead ✨
once you hit 18. time will fly
I'm glad it will
Yeah college was the best time of my life
Grad school was tbh set up to be almost as good but
Covid 🙃
i lost 25% of college
What was best part about college for u?
i guess you lost 20% of gradschool
college is just more fun in basically every way
than hs
More interesting classes, way better social life
Being able to wake up later would be nice
I would say sophomore year then first half of junior year. Second half of junior was starting to be the best
For hs gotta wake up at 6
more freedom, more parties, better classes, better friends, substances if thats ur thing
Worst part
I haven't seen uni yet, in person.
Oh yea uni has people from all over the state and even country so there must be plenty of interesting people
I'll finish my first year in August, would probably not get to see it till then.
nope i just scheduled well
That's amazing
Nice
all my classes were 12:30 to 4
I actually wanna wake up around 9-10 that sounds like the best time
yeah its too late for me now
I'm doing this analysis summer school and my classes are at 9 which s u c k s but they record so I just tell myself I'll watch the recording later
ironically inwake up at like 7 or 8
(Dami never does)
Do u actually watch the recordings
I tried that for one of my online classes and Id rather go to the class
Same It's awful
there arent a lot of people i can suggest coffee to and improve their health

thank you max, I can't even suggest coffee to myself more than once a week.
my nerves can't handle it
By being a well adjusted person
coffe
Ok mitil
Loll
erb
is the whole link between this and throat cancer probably just due to people consuming it before it cools down
it depends at what temperature you drink it lol, but, you normally want to cebar mate with water cooler than 75°C, because higher temps can ruin the yerba (kinda similar to tea leaves I guess), I have read that when most people consume mate it's around 37 -55 C, so it's safe, but nothing stops you from drinking an hotter infusion lol
That would have been great. Ah the joy of having to work near 40 hours a week with school in order to live.
good book for set theory from the basics?
Do you already know first order logic?
Levin's discrete mathematics is free online, is a good read, and one of the easiest intros to logic and sets I've ever seen
Good comic books or books like diary of a wimpy kid with slight pictures in every page now and then
What suggestions?
Yeah but it's very long
They originated as a series which he later compiled into his book
So like, compiled from storytelling sessions at universities?
Man children's books' authors have got it easy

I suggest action thriller Analysis by Amann-Escher. 3 volumes so far.
he could have done so much more if he wasn't into the self destructive shit he was into
He spent his days doing something he called "algebraic geometry"
it's depressing really
How to waste a life
truly a tormented genius. He was a great comedian but a little insane
i feel for his family.
test 1 to see if i message this in a channel it will get active again
Hello, does anyone recommend a book that contains measure theory and functional analysis together for a beginner?
Are there any books speaking about riemann convergence theorems (in particular about the monotone convergence theorem) on "basic" analysis level? I mean without measures, lebesgue and so on..
Check out Rudin
if by "monotone convergence theorem" for the Riemann integral you mean https://en.wikipedia.org/wiki/Dini's_theorem + the fact that uniform convergence lets you switch integral and limit, any introductory analysis book should be good. Baby Rudin treats this in Chapter 7, specifically Dini's theorem is Thm. 7.13
@timber mesa By monotone convergence theorem I mean the following statement: if the sequence of functions f_n is increasing and riemann integrable and f_n-> f pointwise (f is Riemann integrable as well) then lim integral f_n = integral f
without the hypothesis that each f_n is continuois
so I can't apply Dini's theorem in this case
And i can't find the proof anywhere. In all articles that I found the proof involves measures
ah alright. I'm not sure if any book proves that without using the Lebesgue integral (which frankly, is probably the easier way)
hm alright, thank you. I have this as exercice and I just wanted to check if my proof holds.
riemann convergence theorems are a waste of time
i hate that stein shakarchi uses riemann integration for their fourier book
Isnt it the first course in the series?
Any good books for geometry
it is and probably shouldn't
yeah it's the first book so there's a fair bit of stuff that could either be generalized or proved faster
do carmo
any book recs to learn about riemann surfaces ?
guys, do you recommend any supplement for Abbott's R. Analysis?
I’ve seen people recommend Miranda’s book
for model theory: Marker or Chang & Keisler or little Hodges
i have decided to buy a book so I can treat it as the light at the end of the tunnel that is aluffi
pls ping cause ever since they moved this channel I dont read it thx
@sweet lotus when you have a moment
apparently I'm not the only one who pretends this channel doesn't exist anymore 
What are the possible goals
my goal atm is to learn model theory
I don't really have an end game for it
Bruh, as much as I like Abbott, it will only take you so far on its own in understanding math
its really like a broken down first semester analysis course book
does its job well, but if you are serious about math you gotta pick up a more dense analysis book
little hodges or big hodges?
I have heard lots of good things about the little one on MO
👍
okay I will purchase it then
thank you 
Don't you dare.
Don't say Rudin.
:D
Thanks Bruh.
I was like that for a while but you'll understand why people say Rudin when you are ready to become a mathematician.
it is frustratingly hard to get through but I think I'm getting the gist of why people recommend it and why people strategize using supplementary material like Abbott to get thru it
having my second go with it now. The first time I tried reading it, I was too overwhelmed and obviously had to work a little on my proofs background. Spent my time doing that and easing myself into it.
I am starting to understanding that there is a certain tier of note taking and learning that goes into getting through Rudin. Each page and a half has you solving riddles that eventually has some pattern to build on.
and in a sense, it becomes engaging in a fun and eventually intuitive way, when you use supplementary material to your advantage every page you get stuck on
and mind you when I first openned Rudin, I didn't hate it, I just didn't understand how to get through it, and thats what frustrated me.
but I gave it another go last night, and I think im getting the hang of it and see why people recommend it so much
I’m working through it now, feel free to join
how far are you in it Jason?
Err, at a fast pace mind you
Just first chapter, starting second tomorrow or overmarrow
Wait, Real and Complex right?
Oops 😬
im still a pure newb
what do you call someone new to theoretical math? That's still where im at
I prefer Johnsonbaugh and Pfaffenberger. Not a popular book, but honestly better than Rudin as both a textbook and reference
I've heard good things
Pfaffenberger? What kind of name is that
German
I used johnsonbaugh for discrete math and it was ok
Hopefully the real one is better
It is good! Basically the same level as Rudin, but with different organization and imo puts the emphasis in better places
It’s not excellent, but no real book is
yea but S and S is after baby rudin tho?
Eh, that’s the one that can’t decide if it’s for grad students or undergrads right?
Yeah ~ it's between the two
Err, I suppose that’s all of the S&S books
I’d honestly prefer just reading big Stein at that point
That's what I thought
but the notation and the exposition is clearer in Functional
We did big Rudin at that point during undergrad
Where was that?
I didn't take grad real at UCLA, I did grad complex
I did grad real at CSULB, and we used S&S since CSULB is a weaker program
I only did grad functional
I thought it was good
Was a joke after the undergrad analysis 2 course ngl
3rd is real, 4th is functional
Jeez, UCLA to anything is a downgrade for analysis no?
The "functional" book is more a hodge-podge of random stuff
Well all of my analysis profs at CSULB did their PhDs at UCLA
Fell in love with that book a long time ago
Since it's so close - we largely used the same books, or same style
Gotcha
I’m just familiar with some of the lecture notes from ucla and they’re pretty great
To be expected
e.g. my pure analysis prof didn't cover a whole lot
But motivation is important
We covered nothing in functional, but I got a much deeper appreciation than I would’ve if a more “serious “ prof taught it
The functional I took was an Applied Functional Analysis class
so we just did Green's functions, boundary value problems
I really need to improve my pdes
A lot
and compact operators
Sounds really fun though
I ended up skipping first semester PDEs at LB, and just took second semester PDEs
At least as someone who really likes the applied part of functional
Makes total sense
Common thing at NYU too
That was a crazy class
Yeah, day 1 was sobolev spaces
Makes sense
We did a lot of regularity theory stuff
Encode your shit into the space and then use FA to solve your problems
I had only seen basic wave equation or heat equation in like 1 or two dimensions
That’s the stuff that scares me
it was my first time seeing n-dimensional PDE stuff, I was the best student in the class at it
Despite not doing first semester PDE
I need only Laplace and heat going forward (hyperbolic operators don’t come up often in probability)
Yeah, the only thing I used in my research was the heat equation
Err, equations? I really haven’t encountered nonlinear pdes tbh
My PhD program covers way less pde than I anticipated, only optimal transport as an elective
Are you doing your doctorate at NYU?
Err, heat equation is nonlinear wtf?
badly non-linear
I really know jack about pdes
Oxford
Ohhh fancy
Specialized program in probability and stats

Got in primarily because I’m interested in some bizarre applications
But of course you need PDE for probability
So I'm spending my summer reviewing my basics and learning more about PDEs and SDEs
I knew nothing about PDEs, and I still know nothing about probability
Vibe
The only probability class I took was Random Matrix Theory
I aced the final but bombed the rest of my stochastic analysis class
From the same guy that taught sobolev spaces
Which had as a pre-requisite grad probability
but he just kinda let me in
But really need a lot more comfort with some of the naughty measureability bullshit
Which is really a bit sad for a prob PhD student. I really did not do well my first semester post covid and need to review a lot of the technical details of fundamental probability
Though it's not too hard
Are you a first year?
I really wish there was a better book on path-space oriented stochastic analysis, but every one I've found is really quite awful
Yes, still scoping out my research area, likely in IPSs or deep learning (depth separation or optimization landscapes of NNs)
Oxford has three research groups I'm really interested in, FA, Stochastic, and DS
Stochastic is a given, but FA leans more towards nonlinear PDE
which I know very little about
Try to keep an open mind! no need to shoe horn yourself into a topic just yet
Yeah, that’s just where I’m leaning towards
But at Oxford you only get one semester to choose an advisor
So I’m exploring (especially DL) now in more depth
Depth separation is a lot of FA, but really investigated largely by someone at NYU, not Oxford
Jesus
That is scary
So I’m leaning towards James Martin or one of the two DL people
Pretty much, you have to finish choosing in your second semester
But there’s lots of opportunities to interact with them
I may very well end up with someone in the math department and stats department
Just because my research interests don’t fall cleanly into a single person at Oxford
There’s also a lot of people who are firmly analytic focused probability, like Terry Lyons
and what is it that you want to study?
no im jason
Pretty heavily dependent on analysis and statistical physics
As well as deep learning
do you think AI will 'destroy music'? (meaning AI is capable of making better music than us)
(Pretty heavily inspired by my mentors at NYU, Ben Arous did cowrite The paper relating the Hamiltonian of spin glasses to the geometry of loss functions of NNs)
Not for a while I think
But this is why I got into math actually, came from music to work in AI assisted music production
Now I don’t care quite as much about it
really, I did something very similar actually
do you think it'll even matter when AI near equals us in composing?
Eh, cultural context is hard to really adapt to, definitely a far cry from where we are now
that's the main I think that'll keep it a stalemate for a long time
the bedroom musicians are f*cked 😂 but the most talented musicians will have a job
Bedroom musicians have been fucked long before sample RNN
ghostwriters 👌 👌 😎
HOLY SHIT I JUST REALIZED
what's the best book on group theory???
idc how technical it is I'll just use other resources to understand as I go
I mean different books for different points of view
Fraleigh is really easy but still is a proof based book
Rotman's got a good group theory book
A lot of people look to Chapter 0 because it includes category theory
Dummit and Foote is good for when you have trouble sleeping
A primer on mapping class groups
Heh
thank you
it would've taken forever for a future version of myself to look back and wish I knew about stuff like that earlier
@sage python @velvet briar thank you for your suggestions
its best to learn from different sources
always try to keep an eye on wikipedia for what ur learning too 
the "standard" development of a topic is usually there
Susanna S. Epp's Discrete is also good.
I'd say for both math majors and cs majors.
It'll make you dip your toe in the water.
Apostol's calculus V1 has mixed reviews, you can skim a bit to see if it works for you. V2 has better reviews, and his analysis book is encyclopedic.
try paul's online notes for calc.
Calculus that is
categories in context by riehl bro
I've seen some of them. They are good
Is that a texbook?
Not a serious suggestion
meme recommendation
But Paul's Online Math Notes should do the trick. You can also look at MIT OCW single variable calculus course.
The website has notes and PSets, as well as recorded video lectures.
I appreciate your recommendations, but I'm in search for textbook
Well, I can't tell without looking at what your curriculum covers
But for any non-proofs course in calculus
It should be good
I don't have my curriculum yet, I'm about to join college this year
I see
Spivak is the standard rec for proper calculus
Of course
Thomas' mostly for those not intending to major in math
A good prereq for Spivak that covers applications would be?
You don't really need to know calculus going in
Oh
But the book itself will take time to digest
I see
That is a consequence of inherent difficulty, don't get bogged down
You can always ask for help if you're stuck on a certain problem, in accordance with #❓how-to-get-help
Alright
Yeah, I suppose its alright at what it's supposed to do
What about courant?
Never tried it 
In any case
Skim through the first few pages
And see what floats your boat
No worries. Goodluck!
Friend of mine, also in EE, used courant and loved it
ur brain
Hello
Does anyone know of books or papers strictly concerned with the concept of dimensionality in fractal geometry/geometric measure theory?
Hi does anyone know where I can get Thomas' Calculus, 14th Edition solutions?
In your brain :)
I'm trying to practice as much I could but idk how to check my answers to see whether Im doing it right
Send the ones you are unsure about here
It's better to have someone individually check it and give feedback anyway
don't mention that on this server
@crude iris We cannot endorse piracy in any form here due to Discord ToS. :(
Sorry bout that
It's alright, just be careful in future. 
Will do, thanks
Sure. cheers

hey i'm in 11th grade rn and i'd like to advance a bit on maths to get a head start for uni and stuff. What maths books do you guys recommend in general?
What sort of math do you know?
Spivak's Calculus is good
where do I find solutions to the exercises in bourbaki?
go outside to an open field
sit down with your legs out in front of you, and reach and grab your feet
then scream at the top of your lungs until someone calls the cops on you
your best bet is google and failing that asking here whether your proof is fine
alright thanks
I have more than once had to cite an exercise in a text in a paper
This is not the channel for math help
Sorry, I missed the title
Hi... Is there a book that is sort of like "the algebra a numerical analyst needs" (but focused on stuff mostly other than linear algebra)?
Depending on what sort of numerical analysis you want to do, none to a lot
No satisfactory answer, I'm afraid
Seriously? I could be a lot? That is actually very much surprising to me.
For example, people working in numerical methods for odes/pdes use very little algebra
I was expecting "Nahh... it's mostly linear algebra"
Algorithm optimization in numerical linear algebra touches a bit on analysis on locally compact abelian groups
You have Fourier transforms which can be viewed algebraically
Nonlinear algebra/geometric programming relies very heavily on algebraic geometry
Cool. Any recommendations on the subject of geometric programming?
calc 1, a bit of linear algebra, bit of complex analysis
not too much outside of the standard curriculum
Ideals, Varities, and Algorithms by Cox, O'Shea, and Little is a classic
Sturmfels also has an Invitation to Nonlinear Algebra
You should learn more linear algebra
Try Friedburg
Thanks a lot!
Thank you
Bruh what are you recommending this to an 11th grader??
perfect time to start Hartshorne I think
lol
Or was that a recc to phao?
Okay lmao
Admittedly, two book requests were resolved at the same time
But I think it was clear from context
But things need to be made extra clear to chmonkey :/
linear algebra and elementary proofs are a good way to get a bit of a head start. But I also recommend you just kinda explore around and see what interests you
As far as books go, "Book of Proof" is free online by the author and I've heard good things about "Linear Algebra and it's Applications" being pretty decent but haven't read it myself
i'm reading combinatorics through discovery and I really like it
I don't think it contains anything that couldnt be done or appreciated by an 11th grader
its a pretty natural playground to practice more general techniques like proof by induction as well
.
that reminds me, I wanted to ask if anyone knows a good second intro combinatorics book, if that is a category that exists lol
i looked at combinatorics and graph theory by harris and a walk through combinatorics by bona
are those good?
i dont know about the two you mentioned but it seems like "bijective combinatorics" by loehr qualifies as a second intro book
it goes more into the direction of enumerative and algebraic combinatorics
actually i do know bona, that is indeed a good and widely used book
also i agree about combinatorics thru discovery, i disliked that book too
well
wtf
this is one way to do it

when you find out #book-recommendations is a top
A walk through combinatorics is good and contains a lot more material than could be covered in a semester.
If you know Calculus I and II, Hubbard and Hubbard’s Vector Calculus, Linear Algebra, and Differential Forms: A Unified Approach is really nice
Any books for abstract algebra
Fraleigh is a nice introduction, but probably a bit basic? I’m not through with it yet
I found this book it briefly introduces the topic and gives recommended books for further reading in each topic

Pinter is good for a first introduction.
Aluffi ch.0
no
Godement's algebra
@sage python
I see you've said Knapp looks promising. Have you changed your opinion on it in the last year?
What is a good introductory book for number theory? My goal is to develop math maturity
If youre an econ guy maybe analysis would be better
Weil's book
I actually started reading Abbott's analysis book, but it's crazy. Been enjoying it a lot actually, but maybe thought I could benefit more gaining some maturity first
I liked Burton's Elementary Number Theory, is good is you're just starting with proofs and the such
So would it be better to start with number theory before approaching real analysis?
Depends on your background, most places still use analysis and linear algebra as a first proof-based math course. I think it would be equally okay to start with introductory analysis.
I haven't looked at it more, I still think it's good?
Yeah, Abbott seems great for an introduction.
No im not sure why itd be better to do number theory first
Oh I was responding to Kaynex about Knapp
@velvet briar
The thing I like personally is that it does some noncommutative algebra
I don't have that much rigorous math backgroud. I just finished Velleman's book, but that's it. Just trying to figure out whether I should continue with number theory or real analysis
See what works out better for you. Both are fine subjects for learning proofs in context.
(I would say analysis is inherently difficult as a subject too, but that's just how math is)
So even if you can't figure out ideas in the beginning, it's alright, you can ask for help here in accordance with #❓how-to-get-help .
I am looking something readable where I can learn proofs in context
Just pick a book tbh all the ones suggested are probably fine
Reading math isnt like a novel youll have to struggle with the material to gain understanding and mathematical maturity
How is Lang for grad level algebra
I see the pins but I can’t decide between him and the others
I've heard some people talk about Lang
Does he cover everything thoroughly and al that
And they weren't saying anything good
Apparently lots of skipped details in proofs
Lang I've used for exactly one thing
Namely when I was like "Wait how does 'raw' field theory work? Stuff like existence of algebraic closure etc"
What is a solid book that covers everything completely (is that even a thing?)
Ohh I see
The local impression I got is that it's pretty clean
But he used a piece of terminology that pissed me off
I don't remember what offhand
D&F is a comprehensive book
Yeah he seems to have some strange terminology
Ok
Anything that’s like, not dry but also thorough?
D&F may be dry, but only because it is too thorough
Ah
Try Jacobson or Knapp
Is it true that the choice of book doesn’t really matter long term (as long as you don’t choose an absolutely terrible one) bc you’ll just learn everything anyway
Or does book choice matter a lot
Alright
People here seem to like Rotman but idk it
I like how it's called "basic algebra" and the last chapter is modules over non-commutative rings oof
Book looks pretty cool though I'll read a bit of it
In what way (if any) is workingmacat outdated if I wanna learn cat thy?
I've read 3 chapters and I like how it's written
Are there some important things that he doesn't cover? Then could I read those separately for riehl?
Talking about mac lane
It should be fine
all algebra books r dry
certainly not
if you toss a print version of artin in the ocean
it will become very not dry
That's my boy
learning from the best
Artin is so dry, it could soak up the ocean and still be dry.
Lol check out Weil’s “Basic Number Theory”. Part I (“Elementary Theory”) starts with a chapter on locally compact fields, and proceeds to discuss adeles, zeta functions and the Riemann-Roch theorem
I know Mathematical Philosophy is technically a branch of philosophy, but does anyone have any recommendations for an introduction to this topic?
why did you dislike it? or did you misspeak?
Ask a philosophy discord server?
oh my bad i misread not misspoke
i did dislike it and i thought u said u did too woops
what did you dislike about it?
the only problem I have with it is that I think it could restate core results once in a while. often after a question it will say "you've just proved the xyz-formula!", and you'll feel like "hmmm, have i? are you sure?"
which is slightly frustrating as it makes you second guess yourself a lot
ah it's nothing that specific for me i just didn't enjoy reading/working thru it at all so i didn't get very far before stopping
not that math books are particularly enjoyable but this one was just less enjoyable than average somehow
guys what should i read after apostol calculus volumes 1 and 2?
What's your goal?
just increase overall mathematical knowledge
think im going to go with Rudins analysis textbook
What are some good introductory books on proof writing?
I'm trying to learn Trigonometry and Linear Algebra which would involve Calculus and got recommended that I start with proof writing...
I have no idea what proof writing is all about.
Unless its the same as what I was taught in Geometry class in High School (Hence Proved?), I assume that this would be more in general.
Background:-
The most bare basic High School math (no Calc), flunked Trig because I was unable to cram all the identities, also probably forgot most of the things so going through Khan Academy (currently Halfway through Algebra 1, hath been a smooth sailing ride)
A little bit of sequential logic, introductory set and graph theory (which isn't much I think).
There is that nice thing, called "Book of Proof", that's free on the internet. You could read a little into that, and it basically assumes no prior knowledge at all.
Book of Proof, Hammack.
How to Prove It by velleman
this book looks really good
yeah velleman is too wordy
hammack is better
its not too wordy
well i saw so
Should I finish off Compound Statements before starting this?
I have no idea what that is, sorry, my English is just too great.
Ahh, it's just logic.
That's introduced in the book, too.
Velleman’s book How To Prove It is excellent
hammocks book is rlly good
Alright thanks for all the responses.
🤮
I don't understand the introduction to proof books
Just like, start reading math and trying it
most intro to proof books cover logic, set theory, basic discrete maths as well as proof techniques. i think its very useful
Yeah, but why not just start with linear algebra or real analysis
Just try to pick up as you go along
I disagree. Those intro books just give you the tools to understand the structure of a proof. I think that once you have that, then you can adventure yourself in math and start learning by doing
If you read a proof though, you figure out the structure of a proof as well.
you could say that about anything tho, like "why do real analysis or linear algebra, just learn differential geometry and pick up what you need as you go along"
im doing just fine 
learning proofs is not that big of a step. You don't need all the bigger theorems and definitions down.
But real analysis and lin alg do have big theorems you need to do stuff in diff geo, so you can't really pick it up along the way. Tho really i guess you could, it just wouldn't be very efficient 
that isnt the same

.
you need to know analysis before you start doing analysis on manifolds
I dont think proof books are necessary but if you need it then do it. I did take one and thought it was a waste I wish it wasnt required at my school/
You can very definitely nose around wrt proofs and follow what you think is right
My only intro to proofs was lke the first 5 pages of apostol's book 
the material needed to do proofs is not very lengthy, you need just to develop some good intuition and a nose for solving problems. You do this by actually solving problems in nature and not spamming artificial ENT problems in a proof book 
i guess its a difference in degree. but like i said, most proof books go over other things than just proof techniques, like logic, set theory, languages, graph theory, combinatorics etc. Stuff it will make it a lot easier to work with in other contexts, if you've seen them before.
I think the fact that the problems are artificial is good.
This might just be me, but personally, I often found it quite hard to know exactly which "resolution" to spell out a proof in. I think this is the case for a lot of newbie math people
I wouldnt really look at the graph theory and stuff in those books
Like look
in a book like vellmans, there is no such ambiguity, because the objects you deal with are incredibly elementary
you should probably get the stuff that is necessary and move on
you have to rip off the training wheels some point in time
There are only a few techniques you spam over and over
Unironically my opinion. If you want to do diff geo just go for it
Pick up the other stuff along the way
And the issue is how to approach the problem in a clever enough way.
this is specific to the problem/field at hand usually
theres a similar adage when learning to program that like
the best way to learn is to get excited about a project
and backfill
its not the worst strat in math esp. if ur self learning
but dragging yourself through an intro to proofs book is probably unnecessary unless you struggle in which case ofc you can just go back
Like even though i can write a proof, im horrible at doing it when it comes to analysis, though im much better wrt algebra. A proof book won't teach me good analysis proof skills or whatever, analysis will. So the point is if you want to get good at or learn a subject, actually do that subject. The prereqs are very minimum wrt "proof knowledge" 
I think this is the way to go for self-learning
University courses will make sure you get a rounded education
for combinatorics im not sure but in general, i think artin is really good
ive liked the little ive read of halmos' linear algebra book too
anyone got a good resource to learn octave or matlab for numerical analysis?
the class im teaching expect us to self teach the two languages lol
you should also learn math via books so i dont see what you mean. wanting to understand some specific thing is probably not a terrible way to start learning a languGe
@narrow talon would you recommend Stein and Sharkarchi after I get up to chapter 8 of Baby Rudin or should I go straight for Casella and Berger?
Or does it matter what order I go in with those books
I think I got a decent strategy to maybe get through half of what I need to get thru in baby Rudin by the end of the year, maybe
I am more than happy if I get to chapter 4 by December
You could probably read stein and shakarchi after chapter 7 of Rudin. There's not a whole lot of pre-req
You should make time to read Spivak's Calculus on Manifolds in one form or another
Is there any overlap between the stein and shakarchi measure theory focused text and Casella and Berger Math Stat text?
Or maybe I’m thinking of the wrong book if it’s not stein and shakarchi
I’m going to still do chapter 7 first if I end up needing to read S&S
helpppppppppppppppppppp
Yea I will at some point
just read all 5 volumes of spivak's differential geometry
xd
including the part with riemann's original paper
Xd
That book is meh
its very good for what it wants to do
i think its the ideal book for undergrad math majors who take calculus
Same
Is there a sticky with all the mathematical knowledge with sections and stuff
Like compilation of books
No
There is too much mathematical knowledge
But you can take a look through #books-old for some recommended ones
As well as the pinned posts here
#books-old is kind of outdated
Oh ok thank you
Prob should expand it
Also I disagree with some of the things in #books-old
Had combo, graph theory, diff geo etc
I would never recommend Rudin to anyone
Id add pugh to analysis i love that book
?
is Rudin Analysis bad?
@gray gazelle .
ok
I feel like I’m starting to enjoy Rudin
people are allowed to like the book
i personally dislike pugh
mostly due to that class i took
I'm not saying that people can't like Rudin
lol that class was something else
I'm saying that it is not good from a pedagogy perspective
mat357 
Rudin is hard but it’s a book that forces you to interact with the thereoms and examples and use other analysis books to crack the reasoning behind them
It’s kinda woke
why not just use another book at that point xd
Books should be self-contained
"I'm going to write a book but skip all the details so anyone who reads my book needs more books to understand anything"
What a disaster
i'm going to be completely off-topic but i just managed to turn two pages of index pushing into a third of a page with no coordinates whatsoever :catglad:
i am proud of this
How is it a disaster
so nice
What book did you use
2 pages of index pushing
It's the heat equation
I used Ross for undergrad analysis
Which is undesirable for other reasons
But at least it explains its examples and motivates things
my index pushing was actually for the sake of proving the middle inequality
i just managed to tuck away the coordinates i guess
also oops one of my nablas is upside down
it's always very satisfying when you can ignore the coordinates
imagine having nablas
all of these exercises are making geometric analysis seem very appealing
is this lee's way of selling his field
Somehow "geometric analysis" seems epsilon more appealing than "differential geometry" lol
"differential" strikes me as ... dissonant
maybe it's all this time seeing "differential" used for stuff that looks annoying

Differential algebra
These are all just feelings.

What's your opinion on Stillwell Elements of Algebra?
yeah all of Rudin's books suck
Rotman for Algebra 
are you actually speaking to a french without insulting him ?

I feel discriminated
😔

fair
the server doesn't support piracy
so I definitely won't send you a link in PM

Terry Taos notes for complex
They’re more or less independent. The only thing that is really needed from Rudin to read casella Berger is the maturity, but lots of CB is just calculus
please tell me the best book for algebra 1,2 and for trignometry
society
we almost always end up reccing paul's online notes for this kinda stuff haha
i believe there is an algebra section for notes
ok thanks
Paul’s online math notes are clutch
OK
where to learn modules from
??? lol blocked
I just received the first of the six books I ordered to MyCopy SpringerLink's program. It's dope.
I want more than d&f

I recommend it to anyone who wants good books for low price
Get the DLC
Commutative or more general theory?
For commutative alg atiyah macdonald, for non commutative Jacobson is really good
ty I will check it out
I helped why am I still blocked 
Can we just ban ledog until he unblocks us all?
My emotes are not stupid they are genuine expressions of my feelings 
same
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Can someone please suggest me book to learn wolfram mathematica?
Its tough to read online, if you can suggest any book that will be very helpful.
Anyone recommends a book for finitistic/formalist foundations?
I just finished Advanced Functions and doing vectors currently. I want to learn some calculus over the summer. Any suggestions for books or other resources suitable for self-study?
Spivak's Calculus

note that spivaks calc spends more time on proofs and rigour than a typical calc textbook
it teaches you how to do that stuff, so that doesnt make it unapproachable or anything
but if you just care about learning computational calculus
its a lot of extra work
(work that ostensibly pays off in the long run if you take higher mathematics than calc)
(but most calc students dont)
for a more... standard calc book, there are like 50 billion on the planet
but by far the most common is Stewarts Calculus
and its fine
really expensive and bloated
but fine
I just want to prepare myself for HL Math next year, so any introductory book to calculus is fine
ty ill check those options!
if you ask 50 intro calc professors what textbook they use
half will say stewart
the other half will have 25 different books
so... theres not really consensus
honestly i dont think it makes much difference though
just do lots of exercises and youll be fine
no matter what text you pick
idk much about engineering math,but what purpose is a computational calc course supposed to serve?
A bunch of number bashing doesn't help anyone
What does computational calc refer to
which is most of science
Calc 1,calc 2 etc
Calculating derivatives?
The calc series
These are important in numerical methods
Which engineers definitely need to know
Finite element methods are fancy integration by parts
Can't they just learn those things while doing numerical methods
Why do they need a separate class
you have to learn them to read spivak anyway
spivak is literally just extra work on top of that
Because it is sufficient content for another class
There is already too much to cover in numerical analysis classes
also yea thats true too

proofs are intuitive tho

