#book-recommendations
1 messages ¡ Page 124 of 1
idk
physics mf's when it comes to slapping "super" to anything related to supersymmetry
Lmao yeah
Would ross be a bad idea
no
what about A. N. Kolmogorov
dunno
okay , so would you suggest ross or Blitzstein?
blitzstein
I believe that is measure theoretic
I see
Also, Hi ryan, how are you doing?
i love 100 pages of hw
QFT my beloved đ
Blegh but alive
Hi, I am new to this server...can someone recommend a book that improves my trigonometry from the basic level?or maybe a website
SL loney's trignometry
Thank you
SL Loney
oh wait wai already said that
Hallo. Can someone recommend books that can improves my calculus from the basic level?
Thomas or Stewart Calculus
khan academy can help you all the way up to surface integrals and some basic laplace transforms
hi, i want to start learning multivariable calculus, can someone suggest me a really good book(preferably with both theory and tough problems)
Shiffrin or Hubbard
Shiffrin is a really good shout
I tried my darnedest to acquire a "free PDF copy" and ended up caving in and buying it only to realize I didn't care
hubbard is nice, shifrin too
Which book?
The Multivar and Algebra ones are free on our UGA website iirc?
I think Diff Geo is on his personal site
Theres no way, he switched over to the publishers site now
This is the diff geo one though
If you are looking for multivariable calculus, Dr. Shifrin gave reigns to Dr. Cantarella at our uni and hence teaches it every semester practically. Has his entire course notes online. Still uses shifrins text though, and problems arent posted.
https://jasoncantarella.com/wordpress/courses/math-35003510/
These notes are a little old compared to how he teaches it now though, but still good nonetheless
Also Dr. Shifrins lectures, are kinda low res, but still good
@opaque hull
Ted Shifrin is a legend, that man's answers SE answers are phenomenal
I think Ted Shifrin and Martin Brandenburg should be entiled some credit in my degree with the amount of help those two have indirectly given me
Lol he is so rude sometimes
My parents know of my interests, but have no idea what they're actually about
I had that problem back in my early undergrad. When talking about what you're learning, it helps to frame it in terms of a concrete problem. For example, I would never talk about quantum mechanics as the non-relativistic physics of matter at extremely short distances, I would say something like 'it's the starting point to learn how industrial lasers and MRI work', or relating to chemistry in some way. It's much less precise this way, but they're not looking for precision (or even accuracy!) - they're just interested in being able to engage with the stuff you're doing.
If your maths is on the more 'pure' end of town it can be harder, but every pure maths concept has some root in the 'material world'. :)
I looked for Hubbard, i found this one: "Vector Calculus, Linear Algebra,
And Differential Forms
A Unified Approach"
Is this it?
i found it, the "free pdf copy" đ
Lmao ikr he's savage
Yes, by Barbara Burke Hubbard and John H. Hubbard
Wife and husband 
Oh damn â¤ď¸ then they really put their heart in the book
Books
Hacks
you need to get active or booster
you need to be active in # discussion
or one of the math channels maybe
you don't have to be perma active
once you get active, the role will fall off after a period of inactivity, but you'll get emeritus like me
Okay that's enough gifs for one day 
Whatâs the most efficient way to get a working knowledge of mirror symmetry? Is the Clay Mathematics Monographs still considered the best resource for this, or are there more recent or comprehensive alternatives?
Might be a great question for the physics server
@median fossil
Thank you
Idk mirror symmetry 
?
you can learn analysis without any mention of metric spaces
there's a few good books covering metric spaces i'd recommend tho
no
no
Designed for a first course in real variables, this text presents the fundamentals for more advanced mathematical work, particularly in the areas of complex variables, measure theory, differential equations, functional analysis, and probability. Geared toward advanced undergraduate and graduate s...
oh i should probably add this to my list
there's solutions to all exercises in the back
not many exercises though
and the exercises are on the simpler side
you mean the one i just linked to?
i already have the book
no
Not before just kinda together, in many ways metric spaces is the correct language to do analysis in. But if all youâre interested in is R (not R^n) you donât really need to know about metric spaces
I also support the recommendation of Magnus Metric spaces book though, great book
I would say probably learn standard analysis over R from like Tao or Abbot or whatever then read Magnus or read something like Rudin which just does it via metric spaces basically from the start
It is, but it does assume familiarity with analysis, off the top of my head I donât remember how approachable it would be if you hadnât done analysis before and I my copy is at home so I canât check
You can play around with metric spaces as you are learning analysis, try generalizing the definitions of sequences, convergence of sequences, limit of functions, continuity, compactness, connectedness to metric spaces
see what holds, what fails
imo you can do it via metric spaces from the start, it's not hard to generalize everything before differentiation to metric spaces just by yourself, most of the time it's quite literally just replacing |x - y| with d(x, y) 
though you have to play around with different metrics to realize that certain metrics can be quite counter-intuitive and some properties break down in general metric spaces when they hold in R
not me
I post a 24 hour freeform stream of consciousness reaction video to each book
then add the video to my Books I Read playlist
to track my reading
couldn't be simpler
any book reccommendations for self studying calculus? righ now im using https://calculusmadeeasy.org
@atomic flume that website is sufficient i think, for multivariable ones maybe check out dr trefor bazett on youtube
anyways, who has measure theory recommendations
except for the halmos one
i hate his style
royden seems pretty good too
I liked Rudin's metric space topology chapters
I like the exercises
James recs
Dietmar A. Salamon Measure and Integration
I advocate for stronger low undergraduate training so that students can do analysis with metric topology right off the bat
I understand that people call topology "the study of continuous functions of topological spaces" but I like to think of it as "what makes analysis tick", thanks Chen.
What a dense course but I mean the single variable does fall out of the many so I guess it works
Is it an honors level course
Guess not
There we go
I donât think it seems all that dense or crazy
My analysis course covered all that plus lebesque integration and a brief introduction to Fourier analysis
My point is more so that it doesnât seem too dense in my opinion
Y'all gotta remember I'm an American so analysis in R^n is sometimes a graduate course here
is it enough for one to read the Book of proof by Hammack for discreet maths?
Yes so long as you keep quiet about it
By discrete math do you mean combinatorics and graph theory?
if so I was recommended "A Walk Through Combinatorics" by Miklos Bona
that book looks really good
If you are doing olympiad stuff do as many problems as well
I personally recommend Pranav A Sriram, Arthur Engel for problem solving
And for theory Douglas West graph theory, he also has a combinatorics book which is new
Need a good RIGOROUS THEORETICAL book on ordinary differential equations that does all the proofs
And followed by a theoretical PDE book
I prefer if it uses differential forms approach ie it frames differential equations as functional equations between differential forms interpreting all the dx dy rigorously as differential forms
Personally I want something
MOST books don't even properly tell what a differential equations is rigorously compared to our known real analysis
Just the initial value problem that's all
I want something to interprete something like xdy-ydx=0
As a functional equations where the x ,y are functions
The dx dy are first order differential forms
And relations between them
We need to solve for x and y
With a given initial condition
the best differential equations book for this is Arnold's book
this is not really a thing people do outside of differential geometry. one can do it, but it is not a useful thing to do in R^n, because in R^n differential forms are defined directly to be the things such that d(x(t)) = dx/dt dt. so it is adding an extra step for no benefit at first
the benefits come when you want to study things that differential equations are useful for, but are not directly part of the theory of differential equations (complex analysis, algebraic topology, hodge theory)
See Introduction to Differential Equations here https://mtaylor.web.unc.edu/notes/math-524-second-semester-ode/ and https://link.springer.com/book/10.1007/978-3-031-33859-5, depending on your background
so if you would like to learn this perspective you will want to learn about those things
but people who study ODEs and PDEs and dynamics do not use differential forms in this way to do their work, and if you were ever told "separating variables in dy/dx = f(x)/g(y) is possible due to differential forms", that was a lie and has absolutely nothing to do with why that's possible
manipulations we can prove we can do with differential forms are a consequence of the validity of this, not a cause of the validity
Bruh that book is unreadable
it's univerally considered the best
i really like hirsch smale devaney which is the dynamical systems perspective
but that's not really what you're looking for
the book Barreira Valls is what i used for the Honors ODEs class I TAd for this semester. that book doesnt use differential forms but it's crazy rigorous and very very hard
Viana Espinar is also good, similar content (all theory and no focus on how2solve) but a little less hard
Viana Espinar has better exercises imo
I stumbled upon Hirzebruch's Topological Methods in Algebraic Geometry the other day. I gave it a quick look, and it seems like it's become quite old. The title is sligthly misleading to my taste, but I still like the contents. Does anyone have a better and more "up-to-date" reference that covers more or less the same things? More specifically: Hirzebruch's signature formula, Cobordism rings and genus functions of complex projective varieties
Lmao this book looks awesome
bumping this
Kindly Recommend me different books (textbooks) for calculus 1 , 2 , 3 and beyond to master the subject starting from basic to advance
Kindly don't ping-reply my question about a specific book on a specific topic by asking me entry-level references that you can learn about in the pinned messages.
Kindly suggest me some textbooks on representation theory
To answer your question, if you just want an elementary treatment of Calc 1-3, then Stewart's Calculus is a good book with many problems.
Harris and Fulton has a book that is generally well regarded as a good introduction. Lorenz has a good book as well.
Especially calc 3, which was done by 3b1b
Kindly recommend to me some books on non-commutative Iwasawa theory
I imagine Professor Leonard is a good shout for Calc 3
thank you
kindly recommend me books on how to achieve omniscience đđđ
Serre also has a book on linear representations of finite groups , and any Serre book is a must read if it is relevant
Yea that's linear representation
That's totally linear, man
if youâre just trying to pass calc 3 I think itâs fine
though yeah thatâs why Iâm turned off by live video lectures
too much dead air
guys, what do you think of spivak's calclulus
Most people watching the video lectures probably need to be watching them, so it's understandable that the runtime is so great
But you can also watch the video at, for example, 1.5x speed, or even skip around to get on to the next point.
Given that you'll just be doing it again in the analysis of Functions of multiple variables, I'd rather do the easy problems just to get calculus over with
Chipper would like it if it was the transcript
converted to epub
with screenshots as oddly spaced graphics, like epubs will do
Anyone know a book that talks about estimating eigenvalues of finite matrices? Iâm totally clueless about this stuff lmao
do you mean like algorithms to compute eigenvalues numerically?
Not algorithms but just methods of estimating them, like I donât really care about computational time Iâm just trying to establish some bounds on the eigenvalues of a certain matrix
i see, i assume you already know about simple ones like gershgorin's theorem?
Yeah
Thereâs this project Iâm working on and I need to bound the eigenvalues of a certain magic matrix so if there is something particularly geared in that direction it would be helpful
ah got it, i can't suggest a book but will be interested to see what responses you get
@loud cradle i received my copy of algebra in action yesterday
idk if u can see it, but in the last pic u can see the pages are sewn
yeah
how'd u know?
@remote sparrow do you go to Pomona?
no
i'm aware garcia and shahriari both work there
yeah haha
I've almost finished Naive Lie Theory, and I'm ready for the next step, maybe something relying on more maturity in algebra and diff top. Any suggestions? Can I get far by just reading the Lie groups chapter in Lee's ISM? And is there a big difference between algebra-focused Lie theory and geometry-focused Lie theory?
ah nice, was this a new copy or used?
used
looks almost brand new, nice copy
yeah was $39.95 before other fees
actually i think shipping was free
does anyone have any book recommendations for self-studying time series? Preferably a more gentle one (i graduated 5 years ago with a math degree and took real analysis abt 6 years ago - did very meh in it). I also took a time series class in college & used Introduction to Time Series and Forecasting by Brockwell & Davis (3rd ed) but honestly I find it very hard to follow (still have the book downloaded)
you can also ask here in case you don't get an answer
Thank you
does anyone have a good book recommendations for studying geometry i still a high schooler i prefer e-book
What do you guys think about The Structure of Fields by David Winter?
yes, oh i will check this book (iirc sour drop once suggested this book)
oh no, i wanna just learn combinatorics and graph theory (for UG level)
prefer ebook
KA probably does a decent job covering the basics
I wouldnât recommend it for anything beyond the basics tho
Physics is okay I guess
unless it's quantum
Even quantum is just whatever
there is a book named quntum theory for mathematicians or smth
i hope that would do better job than most quantum books out there
you need a sufficiently advanced mathematical background to actually do anything substantial
i did not enjoy any quantum physics book
but when most intro physics classes don't require calculus beyond a superficial level if at all...
Ideally one needs to know ALL tex-related source code available in CTAN and beyond to do math.
writing a book on tikzcd
Just use something local, then.
L take
A is better than B in every way other than the features it provides
đż
Tex itself it also one of the most bug free programs in the world, I think? I don't think Typst can match that, now can it?
Plus, if I need to find a solution to a (La)TeX problem, it likely is relatively easy to find, with its longer history and larger userbase.
Perhaps, I only know a tad about Typst.
But with how feature-lacking it is, it is inadequate for many people's needs. Also, even if Typst seriously rivals (La)TeX i capabilities, people like me are too lazy to switch unless Typst can do significantly better.
My tcolorboxes 
If Typst has true 3d vector graphics, that'll be tempting. But I can just write a TikZ True 3d package by myself ez
(no I can't)
LaTeX takes getting used to. But if you're doing stuff you're used to, then it's pretty fast.
Yes, practice makes perfect.
If you're trying to do custom stuff to get your document to perfectly fit your aesthetic desires, then it may occasionally be tougher.
or if you're trying to write TikZ
there's one by hall, i heard good things about it
there's also my fav, qm from a functional integral point ov view
there's also popular book by folland on qft for mathematicians
i would make sure that knuth sees this
too much functional analysis
welcome to physics
brah i just found a book that shocked me
i thought i would never took up QM again
what did i just see
this much group theory for qm might be an overkill
but certainly lie groups play the most fundamental role while constructing quantum fields
group might be the only thing i strive for as of now
just started rep theory 1 day ago
im learning lie theory as well
physics is gonna be cool, finally
late 2023 i crashed out and took an oath of never doing physics again
I did the same for math after hs
look where i ended up
almost the full circle lol
not too familiar, touoched a lil bit in metric space, but thats about it
what do i need to learn
well most physics books will actually tell you about them without specifically mentioning it's name
depends on what you want honestly
If you just wanna see what Qm is about and whatnot, you don't need groups nor hilbert
I wanna learn more algebra, if I see applications it feels nice to the things being used(hopefully in a grand and meaningful way)
Sorry for late response OpenStax books might be a good place to look
ya all you need is like MVC and lots of linear algebra and some knowledge about fourier transforms 
No more taking about learning math. It's time to just learn it
Knuth
thanks for the input but essentially i wasn't asking for books as of now, just contributing to the jest
Woitâs book is great
@slim nacelle
the Clay monograph is still probably the best source
everyone I know who seriously studies mirror symmetry read that book like the bible at some point
depending on what parts of mirror symmetry you're trying to study there are certainly some papers that will get you there faster than this sort of book, but the book is a very good overall survey of the area
This one?
yes
lmao same
My friends, do any of you have a book that contains an introduction to basic mathematics?
idk do we
the market is incredibly oversaturated with resources for basically the entire precollege curriculum, if you actually cared to google around for 5 seconds you wouldâve seen this
and youâre nowhere near specific enough, what do you mean by âbasic mathâ? arithmetic? algebra?
ask an ill-formed question, get an ill-formed answer
What is "basic mathematics"?
Arithmetic, variables, solving equations, Euclidean geometry?
Or perhaps you mean advanced mathematics? Proofs, sets, functions, sets with structure?
they only have the pre university role
algebra or history of mathematics is also fine
i want algebra
^^^
oh i'm sorry bro đ
khan academy is supposed to be the usual recommendation for k-12 math, I have my reservations about it (too easy and has progressively enshittified over the years) but try it out and see if itâs useful
okay thank you very much đ
.
?
any LA book no?
Euclidean space is just R^n
every LA book does that
but affine spaces specifically I don't think are that common in LA books
at least I only saw it once in Axler 3rd ed. it was during the quotient spaces section
is 3rd edition latest?
did he removed?
I don't know
searching the pdf for "affine" returns no results
what about codimension? which books cover that?
quotient spaces?
4th ed?
yes
well it's probably not explicitly mentioned
yeah
ye ye it's like you take a subspace and divide out the vector space by that subspace, in the sense that you collapse that subspace (and its translates) to a point
so quotienting R^2 by the y-axis would be isomorphic to R
so you just get the x-axis
these "translates" of your subspace are what affine spaces are
ok, I dont exactly get it tho will it read on axler aswell, is codimension covered in that book aswell?
so quite literally, it's just a subspace but translated
In how much detail?
iirc codimension of a subspace W is just dim V - dim W
hammack's book of proof
V is a vector space, W is a subspace of V
Ah alr thx James!
It's no problem, enjoy
Guys i need recommendation on optimization
And i need optimization on recommendation
I've already got the answers
thank you! im curious if anyone has compiled a bunch of resources in one place, something like the cluster algebras portal or khovanovâs representation theory references page.
i want to eventually get into enumerative geometry, and programs like Gross-Siebert seem really interesting (though they might be a few years down the road for me, given where Iâm at with prerequisites).
also does anyone have any thoughts about john lee's introduction to complex manifolds that was published last year? im curious how it compares to voisin's 2 volume hodge theory, huybrechts complex geometry, and griffifths and harris.
im trying to propose a reading course for next semester and i want to learn some more complex/kahler stuff - does anyone have any other suggestions?
any recs for calc? pdf if possible. thanks!
There are some recommendations if you search calculus for messages in this channel
If I wanted to learn from Allen Hatcher's Algebraic Topology, what would the algebra prerequisites be? If I have a good handle on group theory, but not rings and fields, is that sufficient?
You should understand rings and modules first really. I think just group theory is enough for chapter 1 though
But when you start dealing with homology youâll want to understand R-modules
@graceful moon thanks!!
do you really need books for anything before calculus
or even (non proof centric) calculus books
Could someone please recommend fa good book to study for IOQM (Indiaâs IMO first stage) for algebra and number theory
I think some people just really don't like videos. My personal issue with videos is that they're super slowly paced or the speaker is miserable to listen to (not really a complaint for math since you should be doing lots of exercises, hence long videos)
And I think some folks who are new to math get all caught up in the book stuff and forget that there's video lectures for most of an undergraduate degree
Books are nice because they tend to be complete, and you can pace yourself. But you can skip around videos and play them at a faster rate so I think it comes down to what you end up with, and personal preferences.
But I imagine that all mathematicians eventually tend to prefer books, as there aren't good video lectures out for everything you'll want to know
Fair
I'm glad I realized something like this early on cuz trying to take dense notes and process things during a lecture is just annoying
I like to just sit there and listen and redo the lecture as I need to later on
no not really
thereâs a huge wealth of online resources for those anyway
Yeah
TRUE AND REAL
đ
ochem tutor is way too shallow in his coverage of the material
KA is its own whole bag of worms with how much itâs enshittified over the years
Small lectures >>>
my analysis class had ~10 students
I think that's the ideal way to learn, alongside books ofc
how so?
the ai slop they've been pushing
oh, i see
and how they nuked missions entirely a while ago
never paid attention to it
forget what that was
what was that?
i think they've repurposed it in recent years
basically there'd be a whole list of topics that each had a mastery level assigned to it
i used it in middle school and am picking it back up to go through all their ap course content over the summer
you could do practice tasks for topics of your choice
and then "mastery challenges" would draw questions from topics you've practiced and give you opportunities to raise your mastery level
they've reskinned it from what i understand
but i think with how they kept changing the topics list
also is that a max0r reference?
a lot of exercises got lost in the transitions, now i remember some AP calc topics having like maybe 10 total exercises before you started seeing repeats
thatâs true, but the tests seem to have more
iâm just annoyed that some require a calculator
i know you need it irl
dont they have a built in calculator now
but i donât like decimals
exact answer enjoyer đ¤
yeah, but itâs evil
gonna convince the local high school to let me take ap exams, so i get out of half my college
i know khan academy isnât enough, but itâs kind of satisfying to do anyway
ugh, this is book recs
whoops
lmao
That's because they don't talk about math over there
But if you don't have access, definitely grab #advanced-lounge
You wouldn't believe how much the discussion in there can vary
If you can get access and are here for the community, it's worth getting access
no
I don't have the grad role so definitely not
that's what graduate-lounge is for
Any book recommendation fro general/algebreic topology that has solutions manual or at least solutions to selected problems?
For fast learning I usually find reading some exercises useful. Then I start a new book from scratch and try all of the exercises myself. (I am self learning with a book so I literally see no solved examples)
Could you elaborate? How do you do the exercises if you don't read anything else from the book
When I look at the solution to a problem I just download that method into my head and I become incapable of solving it on my own
I think he wants two books
one with solutions and the one he already has
idk
yes exactly
What do you guys think about the book Multivariable Calculus with Linear Algebra by Trench
maybe take a look at Clark Bray et al - Algebraic Topology
I had it in mind for myself later, and might suit your needs
where's that guy with 200 AT books when you need it?
old looking
Hey guys, I'm looking for book(s) to review all the math I've missed through the years. I've passed the calc 1-3 sequence and differential equations with good grades, but its been a bit since and I feel like I'm not so great with more basic math I probably missed from being a poor student in high school. I've also just begun my physics degree on top of my current major requiring PDE's and an upper level multivariable calc course in the coming semesters, so i want to get a good grasp on everything before that. I was wondering if starting from the basics of the art of problem solving series? Or will I just be wasting my time?
you will be just wasting time
yeah
just pick up a calculus book like stewart or thomas calculus
def not do AOPS
GARY YOU LET ME DOWN
it was your time to shine
and suggest Lang Basic Mathematics

i would have if they didn't mention they passed calc 1 - 3 and different equations
lol
no that's why
they want to review the HS material before that
they're the perfect candidate
its def an eye opener book any math proofs stuff i know is because of it
if thats smth u wanna do and learn doing proofs def yeah
highly highly highly
recommended
thats all u need
nah not really looking into proof writing or anything, just that sometimes i feel like i missed out on some really simple stuff i should've learned in my precalc class (wasnt as good of a student back then). i'm just not the best at algebraic manipulation and other stuff like that
yeah i need to take a course on PDE's and then some advanced version of calc 3 it looks like. i also just want a refresh before i get into my upper level physics courses
i just picked up a copy of stewarts calculus which we used in my calculus sequence
alright so u do have a calculus book
u need pre calculus stuff
if possible get the stewart pre calculus book
i was looking at this a bit ago, it looked pretty good tbh
its goated book
contains everything u need to succeed in calculus
đđť
yeah i would suggest going through that book and then start with james stewart
or just do both with more focus on pre calculus first
which works great
how so?
i'm also sure i'll blow through it since i have a lot of experience in both of the subjects so far
đŻ
sure
u def can do that
complete the pre calculus then i say
then just all in calculus
thats true, i could also skip the limits section since i'm gonna just use his actual calculus book. also the matrices stuff as well as i plan to self study linear algebra separately
i do have one question though, what do you mean by "complete"
read through the book and do enough problems or all is considered complete to me
i have a bad mentality of "i feel like i should complete every problem" when it comes to textbooks and i drain myself out and it's 100% not an efficient way of studying
i do that too actually but lately what i started doing is when im doing very new topic i do all the problems otherwise i would do even or odd or occasionally do every hard problem other than those numbers
if i don't do a problem i just look at the problem and think about how i will solve it
and just move on
i understand, thats how i tackle my school subjects. for my circuits class last semester i would attempt every problem in the book (of relevant chapters) because it was all new to me. but obviously i'm not going to sit here and do every problem about functions in a precalculus book
i think stewarts book also has different sections of problems? like applied ones if i recall correctly? maybe i should just do those?
just do the hard ones and just do the easy ones in the head or just
in a very rough way
but making sure u know them very well
yeah
i suggest like each section is in sub sections do odd or even ones then also making sure
u don't miss any hard ones
true. sometimes it's just exhausting because there could be 100-200 problems per chapter đ
and most of them just repeat we don't wanna do that
u wanna be smart about it
u need to do unique and hard problems
if you don't do them all
the Problem Gremlin will sneak in while you sleep
literally no depth for an engineer
decent? it goes as much there is
which is covered in college
atleast looking from engineering perspective
it has everything u need to know
đđť
đ
for vector calc
Good Galois theory books that covers both finite and infinite Galois theory?
I really liked Patrick Morandi's Fields and Galois Theory
Cheers đ
yea you have to use soap and water to clean it or else it will break
(this is a joke, don't actually use soap and water)
make sure no dust or smth in the chargoing port
becuase it can't be battery as the charger can run the laptop directly
so thats def smth has to do with port
if its not ugh well its smth deeper
dungeon crawler carl
For physicists?
For anyone, but yes it's aimed at physics undergrads
idk what giving up is
Hell yeahh!! đŁď¸đĽđĽđĽ
I don't know what it is eitherđż
I see 
hey, have some math background (math B.S.). i was required to take an intro to programming class in python, but don't have any experience with programming otherwise. i'd like to read CLRS, but according to the preface, the authors say,
You need some programming experience. In particular, you should understand recursive procedures and simple data structures, such as arrays and linked lists (although Section 10.2 covers linked lists and a variant that you may find new).
in your opinion, would i need to read a basic data structures book beforehand (just to gain some familiarity with them by using and implementing them) before reading this book, or is it pretty self-contained? as a side note, i'm moreso interested in the theoretical aspects of computer science than the practical side atm, so if i can read clrs relatively smoothly without needing to do all that programming beforehand, i'd be happy to know.
Yeah i got nitro from discord idk how 
My friend told me discord sometimes gift for 1 â 2 week nitro
recommend set theory book
Suggest Real analysis for Complete beginners with little to zero knowledge about real analysis please.
jay cummings
What level are you looking to learn set theory at?
@rain hound @tulip blade @foggy quest i saw you three while using discord search to find people discussing clrs and searching through some of your msgs, i thought you all would be qualified to say more
Is Bartle and Sherbert good
Jay Cummings is a little expensive tbh
???
sorry but his book is one of the lowest-priced ones out on the market by far; mid-priced textbooks are at least $60-100
is there a parent/guardian/parental figure/someone who's close to you in your life you could ask to buy you the book? i'm sure they would understand
Understanding Analysis by Stephen Abbott
try some that look easy first. then, pick a few that you don't feel are immediate but feel you could solve with some applications of known properties. then try a couple that you feel you have no idea how to solve, at least initially.
as many as possible in the time that I have available
if you have a ton of free time, sure
however, you should note that neam and grass have been doing intro real analysis for a long time this way
like a few years
I will admit that it's not always easy to determine which problems are worth doing, that's where experienced advice can be helpful; if the problem list is long you can always post it in the appropriate channel and ask which ones they think are the most essential.
however, learning new things that build on old material can help reinforce or teach things about old material
Doing literally all of them is in a sense ideal, but not always practical
Neamesis has been reading it for like 3 years, although to be fair he does it in between lots of other things
It's entirely doable in a summer if you focus mostly on that
try not to sweat it too much if by the end of the summer, you aren't anywhere close to reading the whole thing
The book is like 250 pages, it will not take you years lol
just trying and succeeding at just part of your reading goal will put your further ahead than most of your peers
There are counterexamples to this claim
But also yes how long it takes doesnt matter so much, maths isnt a sprint, its a marathon
I mean not if youre actually trying
Ive been reading crime and punishment for about 3 years and I imagine theres similar reasons behind it

Oi oi oi I feel personally attacked
until the third book comes out
so never?
That was the intention, yes (but also as stated, it should go reasonably fast if you focus mostly on that, like several hours most times per week)

That was the intention, yes
it should go reasonably fast if you focus mostly on that, like several hours most times per week
When I do real analysis, I do it a number of hours per week.
One exercise can take hours in of itself 
By trying I more mean intentionally dedicating time to it. If youre doing an hour here or there when you have time thats obviously different
But like if you make it a priority it should only take a few months
feel free to look up solutions, too.
When I was a student, my real analysis course (comparable in scope to Abbott) was 5 hours of lectures and 4 hours of problem-solving sessions weekly, over 15 weeks, so it would be 75 hours of lectuers and 60 hours of exercises; 135 hours in total.
Not counting own work of course, just the class hours themselves
Mine was 2 hours of lectures, 1 hour of problem solving and 10 weeks 
I feel like ive been scammed by being born in the UK
How do you consistently dedicate a huge amount of times to it everyday though? Sometimes after spending a lot of time on the same question(s) you just feel quite tired for the day.
I mean I do this all day most every day for my degree, this person was talking about doing it over summer so im presuming theyll have some free time
@vital bane
since i went to a community college and a "commuting" school, recitation hours didn't really exist for me
Not even necessarily on the same questions, but thinking hard for prolonged periods can be exhausting.
But yes youre not wrong, this is just kinda how degrees go though
they suck if you don't live close (i do live close in both cases)
Wdym? Yout just power through it?
tuition isn't as expensive too
generally speaking
probs cuz not as many students live on campus
I mean yeah, if youve got 5 classes a semester and a dissertation to write, youve just kinda got to get on with it
True
But also this is essentially my full time job (aside from my part time job), so this is how I spend my days

Fair enough ig. But I don't wanna burn myself either 
Im not saying you should
also a good number of students have jobs/are nontraditional students
this
I work an unhealthy amount, my course load is objectively too much lol
burn out, and burn bright while going out, that's my philosophy 
In any case my only point here is that if youre actually dedicating consistent time to it, introductory analysis is very doable in 2-4 months
There's so many math things I wanna learn before the start of uni, but it would require such dedication and great ability to avoid burnout.
And I know because I did that while taking 3 other classes and having plenty of free time
Grass: There's so many math things I wanna learn before the start of uni
Also Grass: TikZ!
Wasting time on TeX & Friends aside, one or two analysis questions can already that me a day or two already. How do you achieve that speed?
I see
Heh we share the same mind: I was typing about TeX at the start of my sentence.
Simply be better
Very helpful mate.
I'm gonna read the TeXbook :3
One day I'll implement true 3d vector graphics in TeX
is TeX open source?
Of course
Necessity is a hell of a drug
so is LaTeX and most relavant packages
Nice
hell yeah
Change the compiler, implement 3D vector graphics
But also just experience, for the last 4 years this is all ive really got up to
TeX is one of the most bug free programmes in the world 
you keep repeating that but I'm not sure if that's true
Meh. That's boring. Implementing it in (La)TeX is where the fun lies.
Me looking at my last four years: ...
me on my way to spread misinformation on the internet
Trauma...
Ever since Covid lock downs, it hasn't been the same
I've completed Enderton's Elements of Set Theory and am still progressing through
- FIS
- Analysis
btw I've actually completed Axler 
To be fair, if I didn't read Rudin, I would been done with intro analysis already. But, Schroder's exercises for differentiation and integration are not as strong as Rudin's.
well the book has 10 chapters, I did 7.2
and I got sick of it
so
I would count that
Deadlines push you to be more efficient, and also sometimes make you give up and ask classmates for hints
you should probably look at the 4th edition of axler
No
I am FIS and HK pilled now
I have looked at the 4th ed btw, I don't wanna go through it
I sometimes get pissed off when I need to ask for hints lol
It makes me feel that I haven't learnt the material well enough
Ok but youre not at uni though
Fair
nah
Well, I'll just try my best; that's what I can do.
Me when asking for hints isn't an option while working on an unsolved problem 
During highschool I just played CSGO for 6 years, youre in a far better place than I was before I got to uni
I didn't play for 6, but I did for like 1 or 2, it was so fun
I didnt even really know what maths "was"
CS is such a great game
Long story short, dont stress about it, youre incredibly fine
You guys should form a TeX reading group with me 
We shall cook up the most esoteric TeX known to men
Grass making TeXbook solution manual when?
Surely there are some mean exercises?
Like Algebraic Football?
Or Topological Cricket?
no, don't.
Of course you do you filthy Phy*icist.
TeX is esoteric in itself
Real men becomes TeXnicians
there's plenty of interesting mathematics adjacent to some fields of engineering (e.g. control theory)
True
or algebraic geometry
yeah in robotics
yeah but that's the research level
no textbook discusses manifold version of control theory afaik
really?
Company: So, you have familiarity with programming? Do you mean Python or Javascript?
You: TeX, LaTeX and TikZ.
Company: ...
Are you talking about engineering textbooks or control theory textbooks?
@silver herald surely there are textbooks like that?
Engineering textbooks
Also hello Doom đ
i haven't read any specific, that type textbook
fortunately I'm an owl
Owls can alsobecome TeXnicians
Owlnicians
You, while being dragged away by security: TeX is Turing complete!!!
league of legends
goated game
yes, but it shouldn't be!
I'm so glad I was born too late for gacha and other live service games.
I did spend quite a bit on WoW subscription over the years, but it seems to pale in comparison to something like Fortninte or Roblox
Outlandish take đ
Im from India
Thanks
there are usually international editions of some more commonly sold textbooks
you can also have a print shop print and bind a pdf for you
im interested in other math but for any math i need some background knowledge
i want to learn homotopy theory/algebraic topology
but i need something before i think
You don't need anything much beyond naive set theory, then.
You need to learn algebra and some point set topology first
thanks for recommendations
I'd join that
Smurf moment
Preach your words, O' Soup Slurpin.
What are you gonna recommend me? The manual for expl3? 
Well obviously
- The TeXbook (which you already said)
- The Advanced TeXbook (for OTRs)
- My article on pdfTeX primitives
- I intend on writing an article on programming in plain TeX as well
- Parts of different documentations for various packages (eg pgf, maybe expl3)
Well that's less my area of expertise
I do plain TeX, not LaTeX, and certainly not LaTeX3
What does OTR stand for, btw?
Output routine
Yeah I know 

Why did he squat down like that đđ
You are not looking at the correct place then. The manifold version of control theory is well established within many books on "Geometric Control". Examples include -
Bullo & Lewis, "Geometric Control of Mechanical Systems"
Agrachev & Sachkov, "Control theory from the geometric viewpoint"
Well, geometric control is kinda weird there because geometric control theory has accessbility and implementation problems when looked at broader engineering POV
Incoming Wall Of Text, readers be warned:
A bit of culture and history first -
Geometric Control was actually developed by pure control theorists back in the 70s-80s to have a theory for (smooth) nonlinear systems that we do have for linear systems for aerospace applications (this was the field that actually gave rise to a lot of deterministic optimal control theory) by replacing the underlying vector spaces we were working with to smooth manifolds and using lie algebra to have a similar algebraic framework that we do for linear systems. (Brockett has a nice paper on detailing the early history and applications - https://d-biswa.github.io/Teaching/RM12_Brockett--Early_Geom_NL_Control.pdf)
Prior to this, a lot of the nonlinear systems tools were local stability ideas based on linearization -> lyapunov arguments (called as perturbation theory).
So, what changed?
- For starters, geometric control does not really describe controllers that will have newer guarantees compared to things we already had like LQR or using Pontryagin/DP to solve for an optimal control problem but it allowed for a stronger theoretical framework to do your optimal control for smooth nonlinear systems. The problem is that you should be able to describe your state space well. This is not always possible for systems like electric circuits, networked systems like power and telecommunication grids as your network topology affects your state space manifold (and things get even worse....as we will see in point 3). The only other big geometric control domain Doom can think of where the manifold description is similar to robotic/mechanical systems would be quantum systems and QFT (The underlying lie group structure is some product group given by SU(2), which has interesting double cover stuff with SO(3), so a lot of the tools in robotic systems are applicable there).
- Remember the perturbation/analytical tools Doom was talking about? Yea, so around the 80s, Control had a seminal paper on Dissipativity (see - https://link.springer.com/article/10.1007/BF00276493) by J.C Wilems that described Lyapunov-like analysis using storage functions. This was weaker than the lyapunov analysis and extensions to this (alongside the other dominant theory, Integral Quadratic Constraints (IQC)) applied quite nicely to nonlinear systems. It also turns out that, these frameworks required less assumptions than geometric control (which, from a theory sense we always like) and they were easier to use to synthesize controllers from. More yet, these frameworks in conjunction with uncertainty quantification of the dynamics models can yield controllers with more guarantees (Robust Control)! Which is one the big reasons why Geometric Control isn't usually adopted much - Geometric Control has no robustness guarantees. The big section of control synthesis in Geometric Control is based on Optimal Control, which has the assumption that you know your system dynamics precisely - so there's no way to add any sort of "uncertainty margin" to the synthesis methods.
- Geometric Control only really works for smooth dynamics....non-smooth dynamics that we see in, say - Robot Manipulation (and a lot of Robot Locomotion as well TBH. Stiction is a big thing) are not amenable to geometric control (you lose differentiability!). Recall the applications in point 1? Yea, so in networked systems, motors and electric circuits - the dominant nonlinear behavior is switching, for which - the classical approximation in the domain is to see them as discontinuous (non-smooth) dynamics rather than approximations we do in mechanical systems for like friction by saying that the friction interactions happen in a different timescale and when working with controller synthesis In locomotion cases, we combat coulomb friction by using conic constraints/pyramidal constraints in the traj.opt/MPC we write. This sort of naive treatment becomes quite difficult to do when non-smoothness in manipulation, electric and networked systems become a dominant thing. The approach that has been successful so far have been from the POV of "Hybrid Systems", which take the POV from Dissipativity/IQC land to talk about Semidefinite Programs/Mixed Integer Programs based on the "operating modes" you are working with (In manipulation, you would have heard of these as contact modes). In fact, because of the connection with Robust Control, one can add robustness guarantees alongside the hybrid system control synthesis methods, so the techniques are quite extensible.
- Due to the rich history of Geometric Control, the hype on it from (pure) control theory researchers have started dying down (think circa late 2000s) as the theory is relatively complete and the stuff that's not have remained unsolved for decades now. For instance - "The connection between nonlinear reachability and stabilization synthesis" are not fully explored yet (particularly, with the stabilization synthesis not being feedback invariant, so there's a non-trivial relationship between the two). Besides that, the extensions of geometric control theory to tackle similar concepts as non-smoothness, robustness and stochastics have it's very unique challenges with the mathematics prerequisites being too vast for people usually from an engineering background to cover (for instance, a popular way to talk about non-smoothness and stochasticity in geometric control is using what's called Geometric Measure Theory, so besides some background in Diff.Geo and Lie Theory, you need upper level Measure Theory and Analysis. There's also a fact that the mathematics are still being worked upon by Pure Maths people for things beyond Euclidean Spaces in this setting). That has caused the number of geometric control researchers to dwindle.
- More as a side effect, Stability results in MPC as done in late 90s and early 2000s by Mayne and his group (see this - https://www.sciencedirect.com/science/article/abs/pii/S0005109899002149) offered simple extensions using the same Dissipativity framework with Control Lyapunov Functions that can be for Nonlinear MPC in case of regulation, which often doesn't need much geometric insights. This led to MPC/NMPC to succeed as the de facto "traj.opt" method in non robotics/aerospace domains like power electronics and networked systems. There's also a fact that robustness to known dynamics uncertainty can be added to the MPC framework (see Tube MPC and similar) which are much harder to do with other Traj.Opt. methods.
You will be able to read CLRS. CLRS is about introducing algorithms and proving their correctness. It does not give real code implementations, only pseudocode. You need programming experience to understand how the pseudocode would be implemented and that it is realistic.
I need a basic ordinary diff eq book just to get introduced to the topic. Do yall have any suggestions?
Coddington
Itâs pretty self contained but it can be a bit of a shock to start, it is suitable for an advanced undergraduate or a graduate student even.
I strongly recommend even if youâre only interested in theory, implementing a significant portion (perhaps even all) of the algorithms and data structures you work through in a language of your choice. Implementations are similar to formalizing a proof vs a rigorous proof, itâs a much more exacting requirement than just working with pseudocode and will ensure you fully understand the thing.
Dynamic arrays/tables are already implemented for you in python, so Iâd suggest looking up or even figuring out an implementation in another language. C++ say. But if not itâs not a big deal, itâs a simple data structure (memory safety and some other caveats aside). The rest you can probably happily implement in python using classes.
Is that one better than the other one
I haven't read the one by Coddington
This one's a bit long and idk the average content of a diff eq course so idk if id be wasting my time on anything
applying control theory to QFT is insane, also hello! How's it going?
Geometric measure theory mentioned! sick! it makes sense though, why you'd need GMT for extending geometric control to non-smooth stuff
the one by Taylor is short and terse at times. None is a waste.
Ill try getting through chapter 1 then thanks
Anyone suggest book
For real analysis, algebra.?
Check pinned
Yes! Application of Control to QFT is kinda the idea with modern pushes to Quantum Control (especially in terms of applications beyond Quantum State Preparation in Quantum Computing like Optical Tweezers - https://en.wikipedia.org/wiki/Optical_tweezers , and Control of Ultrafast Chemical Dynamics stuff -https://www.sciencedirect.com/science/article/abs/pii/S000926141730218X))
This sort of thing is also nice for perspectives in information limits to control (a traditional control theory field) like Information Field Theory IMO - https://en.wikipedia.org/wiki/Information_field_theory because a lot of the success in Quantum Information related domains are in information quantification and interaction effects in quantum many-body systems and they yield some very interesting insights
So, GMT angles are more for stochasticity and uncertainty representations in geometric control (because, again - these things are important when working with safety critical systems) than non-smoothness but there are some works done in the sense pure GMT theory for non-smooth geometry like so -
https://www.ias.edu/video/geometric-measure-theory-non-smooth-spaces-lower-ricci-curvature-bounds
Doom usually sees more Hybrid Automata/Piecewise Affine/Linear Parameter Varying representation based work being the more popular paradigm within control theory groups for non-smoothness. (Which, has the problem combinatorial mode explosion stuff in practice because increasing the number of hybrid nodes/edges increases compute drastically.....so the problem then becomes learning/reparameterizations suited for "performance shaping").
As for how it is going - Mostly recovered from the knee injury Doom sustained in February. Had the first quarter exams done after returning back to Uni. (after opening up an exception case for yours truly) - aced 2 courses, failed one by a small margin.
So on the whole - an eventful few months and Doom is finally getting back to more research.
Good recs for 3 and/or 4 manifold theory? Iâve seen a couple of different ones floating around but wasnât sure which ones would be âgoodâ. Mainly interested in the stuff having to do with pseudo anosov maps, handlebodies, and algebraic topology aspects, but would be perfectly fine with a big introductory survey of the different viewpoints as well
What's your background? A lot of commonly known books on the subject are firmly rooted in graduate level ideas
Iâm a grad student lol. this is just stuff adjacent to my work that I think is really interesting and Iâd like to learn
no solid just wanted to make sure you weren't some guy who just did a litttle bit of topology in an analysis class and wanted to study real low-dimensional topology
fine by me in those cases but RIP đ
I'm not familiar with this area of math but I know that a couple of common shouts are
- Topology of 4-Manifolds (Michael Freedman and Frank Quinn)
And uh.. I seem to have lost track of the other on so I guess I'll go a-searching
ah I guess it's slightly lower but Geometric Topology in Dimensions 2 and 3, that was the other one I had in mind
anyway hopefully someone more knowledgeable can get you some more options
đĽ thanks
@gray gazelle still thinking about those books from last night. i know stewarts precalc is good because it has a ton of info, but would Langs basic math book be good if i was just looking for a little more intuition and catching up on some things i might've missed rather than blowing through a ton of problems?
Nah well tbh it wonât really benefit u very much
Just do pre calc
One
It can but I mean not really worth it for now
You wanna start doing calc first
wym
Doing calc will open up many subjects
tbh i might just jump straight back into stewarts calculus book and pickup anything i missed along the way, that might be more beneficial
i just wanted to see if that book would be good just to read for intuition
It has no calculus but a lot of proofs
But u said u donât want that
So
@dim pendant heres the context
I see
My honest opinion is to go back through calculus. I don't think much of the stuff you've forgotten will show back up. And if it does, you'll probably see some examples worked out so you'll be re-familiarized with the content
Like when I think of the stuff I've forgotten from high school I think basic series, factoring cubic polynomials, Euclidean geometry, etc.
Useless for me but I'm also not a physicist
very much not on the topological end, but if you're interested as well in the gauge theoretic angle to 4-manifolds, I liked "Gauge Theory and the Topology of Four-Manifolds" edited by Friedman and Morgan
here's the table of contents: https://www.ams.org/bookstore/pspdf/pcms-4-toc.pdf
thats a good point as well, its probably best i just have a deep understanding of calculus more than anything before moving on. i'm mostly concerned about forgetting some random precalc things and lacking some intuition but i guess that can all be regained by going back through stewarts calculus and facing it there when it comes up
For sure
there's a reason most calc 1 classes in US universities are just remedial algebra classes in disguise

You'll be doing lots of that in the more advanced stages of your degree, realizing you don't know something and opening up a book to read 15 pages out of it
so is this normal? because sometimes i feel guilty for forgetting how to do things i should already know. for example last fall i was taking differential equations, and something came up where i had to do synthetic division and i had completely forgot what that even was. luckily i never had to experience that again
It depends on what exactly. I don't remember polynomial division either so each time I need it I have to go back and learn it and then I've got it for the next couple weeks
if you've seen it before generally it's easier and faster to pick it back up than if you had never seen it before
But I more so meant that later on you'll need new tools that you won't have seen in any class so you'll crack open some random book you didn't expect to need
ohh i misinterpreted
i understand though
well thank you guys
Same
probably won't change your species, sorry
Haha nerd
no
they both evolved from a common ancestor
Yeah we're super epic apes but we're bros
The chmonkeyâŚ.
ancestor, I will light some incense and leave a slice of pizza at your altarđââď¸
Mmmm pizzaâŚ.
Yeah..
bro
Turn into a monkey then
I have noticed that a great deal of precalculus books follow a similar structure, sometimes even the same didactic. For example, you can find some pattern in the way the topics are structured and in the didactic in "mathematics for the international student (Robert Haese)", Precalculus (James stewart), the Algebra and Trigonometry by Openstax,Precalculus by richard rusczyk, precalculus concepts through functions by sullivan, etc
I've tried to read all of them to see how they explain things, sure there are some differences here and there but they are so similar
Maybe it is due to the fact that it is a textbook. I wonder if there is some book that tries to flee from that way, with a more unique didactic
What books are in the "few" set?
In other words, those books take a rigorous, qualitative approach, rather than a naive, quantitative approach.
Thanks for sharing this. I totally neglected this approach with geometric control, I shared it with my classmates, everyone is very interested đ
you can give 'Basic Mathematics' by Serge Lang a try.
It's not a lang book if it doesn't have proof of inverse function theorem
any good vids to accompany abbott?

i mean its a lang textbook
heheheha
https://youtube.com/playlist?list=PLysi2xmniDSzz6xT7IzOifpoexeKccThh&si=xJa5IsOh6m1g6PLm theres this yt series
And theres an mit ocw course on real analysis that you can look into
i see thx
i tried it, professor is a lil boring to listen to for long periods
Honestly with Abbott you can just read the book on it's own
it's just that well written
reading that book is like listening to a really really good lecture
You can read any book on its own
Rudin RCA moment
indeed
i wish i had abbotts phone number
so that i could talk to him
(for banach spaces)
Neam solving D&F exercises, 2025 colorised
that book should come with antidepressants
and a carton of cigs
Most professors are this way.
unfortunately
You can find his office phone number 
sotrue
i know a guy at mid im going to ask him for an autograph
I wish I could get one
Same
It would be insane
looks like he teaches the main courses
Honestly this looks a lot like the courses you teach @remote vortex
Analysis, LA, measure theoretic probability
Outsider is Abbott?!?! Conspiracy....
He is Outsider.
Sniped
Coincidence?! ||Yes||
đââď¸
or, well, not a coincidence since there are literally thousands of academics with a similar list of taught courses
That's true
I.e. general analysis
Do you teach calculus? I think you mentioned you sometimes teach the calculus courses for engineering and other non-math undergrads
I do
True anyone with analysis adjacent research would teach that
for mechanical engineering students this semester, in fact
Nice
general concepts related to subsets of reals and real-valued functions, then sequences and their limits, then function limits, then derivatives, then integrals. As for the second lecture...
series and functions of multiple variables are second semester here
Interesting, that's actually pretty good that you start with real numbers and real functions and sequnces before limits of functions
I think way too many calculus courses just drop the students straight into limits of functions and then derivates and say "well real numbers and sequences will be taught in analysis, engineers dont need that"
perhaps there is truth to that but still
Since I have been drawing 3d diagrams lately, I wonder which books have an abundance of such (colored) diagrams?
I'm not going to specify my circumstances any more than I already have
Just for clarity, we don't do the axioms or reals or Dedekind cuts or anything like that, we just discuss the number line, sets and basic operations on them, and basic properties of functions: the concept of domain, codomain and range, composition of functions, elementary functions (including the basic properties of exponentials, logs, trigonometric functions and their inverses) and graphs of functions.
Bro is trying to dox an Owl
Many such cases.
I mean, fortunately not.
I have few enemies, it seems.
should I TikZ an owl
Other than the cranks but those tend to get banned before they start digging.
I always think of you as a literal owl who spends his nights in a tree or burrow then comes out during the day, takes upon a human form as an owl in a trenchcoat teaches class, disappears again
That is fairly close
I'm an owl that disguises myself as a human to teach them mortals math. I prey upon the chosen in the dark.
some ln title, probably.
Owlsider, what's the coolest diagram you have seen?
I honestly have no answer, nothing springs to mind.
Also, I've just noticed this is #book-recommendations
Also known as #discussion-4

lmao yes
Anybody read Hodelâs Introduction to Mathematical Logic. I have it but havenât gotten around to reading it yet.
I like how this channel is 30% book recommendations and 70% #math-discussion2
Oh someone literally just said this
Wow
If I could go to school to learn from anyone it would be Borcherds or Gaitsgory
Or Conway, rip â¤ď¸
Textbook recommendation for the variational approach to evolution PDEs?
Does anyone know where I can get resources for calculus and functions for first years
Professor Leonard (YouTube), Khan Academy, and James Stewart's calculus books.
I've written down this list recently, if you wanna pin feel free <@&268886789983436800>
(of course it's not a virus, even if it's txt)
@plain maple I believe you can find something useful here
Thank you so much
Which book/resources or any material or any part of specific resource or anything that's available online of maths have the toughest and most challenging questions of calculus that can be done on the knowledge and theory of high school maths?
Same Qs for coordinate geometry (St lines, SOT, circle, Parabola, hyperbola, ellipse)
And for trigonometry..
I won't ask for algebra, because I know how tough it can reach ... đ
Yea that's what I had in mind as well
HMMT (math competition run jointly by Harvard and MIT students) used to have a calculus round many years ago
try some of their old problems?
Hey, does anyone know a very accessible book (because i live in greece) about complex analysis? I'd like it if it was from a really cool mathematician whose knowledge could be compared to god's (stupid joke because rn i feel weirdly happy)
for the first kind, churchill and brown or gamelin might be it
for the second, ahlfors (has a fields medal)
Hahah thanks mate, i'll check them out:)
Hi, any recommended book on the philosophy of mathematics?
rudin principles of mathematical analysis
that book is about analysis
i'm looking for something like Russell's introduction to philosophy of mathematics.
thanks, i'll check it out later
ty~! i feel my money growing already 
i think tomorrow once it goes through đ

i used fidelity
I was watching Eigenchris on youtube for tensor calculus and then some introductory differential geometry, but it wasn't quite complete enough for me and I would like a deeper and also more rigorous book on it 
Common recs:
- Loring Tu
- John M Lee
- Jeffery M Lee
The last one requires some knowledge of category theory and functional analysis iirc
Since you're coming in from a physics perspective
I would also recommend checking out
Manifolds, Tensors, and Forms: An Introduction for Mathematicians and Physicists by Paul Renteln
Also who can forget about David Tong the goat
Lecture notes on General Relativity
The first three chapters are about diff geo
what da hail
no way func anal is required for a book on diff geo
What
I'm looking through the ToC and I see nothing requiring func anal
But I do see Appendix A has Cat Theory
Grass when reading through diff geo and sees physics:

That's not from Lee
it is from Jeffery M Lee
Oh yeah
"Manifolds and Differential Geometry"
You gotta learn physics some time grass, it's goated as hell you're missing out đĽ
Yeah I misremembered: you just need algebra (including cat theory) + analysis
@remote sparrow
so true!
mfw printing each page costs 30 cents
that's why it should be dissemininated for free
Is that FIS
I got my international fifth edition for like 40-50 bucks
through completely legal means yes
softcover
50 bucks....
But the quality is :/
50 SG dollars or USD?
Oh damn really?
i only found crappy pdfs. i suspect the pages may have come from a software that rapidly takes screenshots from the vitalsource copy
ok
update: it was not better than other copies i found myself
a prof told me that seme "modern" results in diff geo comes from sobolev spaces and shi

also on this note
nicolaescu or smth
rigorous text
Ah yes the famous footballer and differential geometer
maybe a bit more advaced than jefferey m lee
but has gauge theory in mind
https://math.stackexchange.com/questions/13575/teaching-myself-differential-topology-and-differential-geometry this stack exchange post makes it seem like it's intoductory
but i beg to differ
Damn bro wrote this right out of PhD
mf gives a 4 page proof of cauchy projective spaces(can't remember their name) are actually manifolds in first 10 pages or so
definitely not introductory but seems very complete honestly
derivada, when I start my dynamical systems arc, I will ping you in my thread
be ready

uhh
maybe taubes as a ligher alternative?
idk haven't read it
Holy hell!
yeah
(One day I will read it...one day...)

I see