#book-recommendations
1 messages · Page 269 of 1
I wouldn't call real analysis "riddled with pathology", that's kind of the point
thats just cuz complex analysis is trivial

go on
prove the riemann hypothesis
I know this isn't a physics server but can anybody recommend a good physics resource that'll give me a good general overview/knowledge of physics?
Halliday & Resnick - Fundamentals of Physics is pretty good
awesome, ill note that down, thanks
University physics - freedmen is great too
great, thanks. will note that down too.
:)
☺️
The 5th edition in particular has really good problems compared to the newer ones.
Resnick, A probability path
is that book rigourous enough?
yeah
Any suggestions on complex analysis books?
ahlfors
Thanks
or rudins complex analy booky
see pins
Thanks
you re welcome
is there any good math books for year 8/ grade 7 I’m tryna revise to get a higher set in math
cambridge textbooks?
idk any other textbooks
lol
i mean u could also review class notes
any good number theory undergraduate books
i know a little number theory from maths olympiad books and problems but idk how much overlap there is with undergraduate nt
Hardy and Wright introduction to the theory of numbers
thanks
Hello, do guys have a book recommendation for mathematical proof. I'm not looking for a textbook type of book but something that is fun to read yet full of information.
Proof and the Art of Mathematics by Hamkins
Hi guys, Is it necessary to learn Calculus before Learning Analysis? I really wanna do Tao's Analysis but feel bummed that I would have to go through something like Apostol's Calculus prior to touching Tao's Analysis. I heard Analysis teaches Calc from scratch too.
Thanks! will definitely check it out.
If you have at least done some calculus before (computed limits, derivatives, integrals), you can start learning analysis from any introductory text. That said, Tao's Analysis may be suboptimal, I'll insist on something like Abott's Understanding Analysis instead.
In theory, analysis is self-contained, but the motivation may be missing if you haven't already been exposed to calculus. Also, the focus is probably different. In calculus you learn how to differentiate specific functions using the chain rule, etc., and various techniques for integrating specific functions. You don't typically spend much if any time on this in analysis.
any good number theory books?
no it is not necessary.
and I second Abott's Understanding Analysis
he does go over many of the motivations
theory of numbers
Any suggestions for rigorous numerical analysis books for a math undergrad? (Rigorous in the sense, contains formal proofs for all the algorithms etc)
Is the book by Kincaid and Cheney appropriate?
@glad prairie May probably know
I just wanna start reading a bit of it to gauge whether i have any interest for it
Just to know whether i like applied math or not😂
I'm a bit late but if you want something a bit more fast-paced than abbott, i recommend pugh (or rudin, but rudin is really just pugh without diagrams)
Burden's Numerical Analysis is nice.
any problem books in calculus/ sources of calc1/2 problems?
Thanks! Will check it
Just wanna confirm, gillbert strang would be good for linear algebra?
Basics
Thomas' and Stewart's
Already got thomas, the problems aren't that varied imo.
baby rudin has exercises
Rudin's kinda fking overkill for calc 2, don't you think?
no
all of them
Why is concrete Mathematics not considered a "true" discrete math book?
Probably it doesn't have a propositional logic chapter/section that most discrete math books have.
Hey guys this is kind of a weird request but i have a trig book that is online provided by the school, is there anyway you know that i can download the book?
yeah the book is has given access to me though a website
what format
Would you recommend Undegraduate Analysis by Serge Lang over Calculus by James Stewart?
read principles of mathematical analysis by walter rudin
you'll enjoy it
huh
For multivariable calc, is Shifrin a good choice?
@ gristbundle have said good things about it.
I am a fan of gamelin
Gamelin's the best beginner book I'd say
Also someone told me of a book which at a glance might actually be better than Baby Rudin tbh
what book
Browder
Just waiting for all the rudin fans to come at you
Hey I'm a Rudin fan too lol
Except for maybe Browder and maybe Igor Kriz's book
I don't really think any analysis book thus far written holds a candle to Rudin
Any books that really covers how to seutp " differential equaitons" and not just how to solve them?
I am at the point where I know how to solve differential equations but have no clue on how to set the equation up nor its meaning
My textbook and teacher are not helpful in this sense
Essentially yes
If yes, then check the Introduction of Viorel Barbu's book called "Differential equations"
Will do so, thank you Anatole
Sweet!!!!!!1
Are there introductory books/papers which cover the main tools and methods in the Langlands Program?
@slim nacelle Sorry to ping, thought you might be able to respond
automorphic normies
yeah, this https://arxiv.org/pdf/1511.04265.pdf
this is a nice book survey of the Langlands program with a focus on the analytic parts of this
so it ends up covering automorphic Eisenstein series and you can get some idea of the spectral decomposition problem for L^2
- fun application of counting black hole solutions

there are other more specific texts for different parts of the Langlands program if you want to learn them in full generality but these can be hard to motivate and hard to read
I don't know of any book that does everything in one place, the thing I linked is the closest thing I know to that
also requires very little background, it starts with p-adic and adelic groups and then covers Tate's thesis
I know Stephen Gelbart has a few books on the Langlands Program which are supposed to be introductory, have you ever read any of them?
Or at least know some opinions on his books?
Oooh
Ok, it looks really promising.
Thanks!
Lol string theory
What is the Langlands Program?
Langlads program is a generalization of class field theory and modularity theorem
Class field theory?
Modularity theory?
I don't know either of these things well enough to describe them but basically two L functions are equal
what is an L-series in general,
an L-function is the analytic continuation of that correct?
I should be running upon my first L-function soon, so this is cool
I still don't really get double categories and topoi
Would really appreciate some very basic stuff for absolutely baby computer programmer nonmathematicians
whats a good text for multivariate calculus?
advanced calculus by folland
calculus on manifolds
I used Analysis on manifolds by munkres
Any good algorithms/data structures book written in c?
langs ok
WOOOOOO
Folland 
I found that a lot of material covered in rosen's discrete math is also covered in knuth's concrete Mathematics, which one is better should I study?
why not both
does stein and shakarchi II require I?
@gray gazelle try cengage it's for advance maths

please
Would anyone have any recommendations about non Euclidean geometry or other theoretical mathematics?
:3
Other theoretical mathematics?
A way I have to recommend that
Look at Springer books
You can find there books about any math field
Ooo
I already know formal logic, should I skip the sections that go over that?
i feel like my algebraic skills are lacking - any book recommendations?
am in year 13 if that helps
Hall& knight have 3 algebra books higher algebra, elementary algebra, algebra for beginners
Does anyone know where i can find worksheets on high school math like kuta software?
@\moderators?
Hey max I started going thru Munkres not long ago
Are you enjoying it cat man?
Yea I’m gona be doing more Casella and Berger today and tomorrow though
Might sneak a few sections of Munkres in if they’re short enough though. I’m almost done with chapter 1 soon
What are some good topology books that balance rigour and intuition?
Hatcher
This is a rant i've given a number of times
but there is no topology textbook that is not rigorous
many people claim that hatcher or other books are "less rigorous" but this is largely nonsensical
Munkres is good
I’ve been reading Lee’s intro to topological manifolds, and I’ve been liking it quite a bit. It’s basically an intro topology book with intro to manifold theory
oof
no, there are independent
S&S is a common one
this message has some commentary #book-recommendations message
Stein and Shakarachi if im not making a spelling error
I should try narasimhan
@sage python would i like it
be hoenst
i think ill try narasimhan
at several points in conway ive had the questions: Why arent we just doing this topologically
It's more topological than the others, it does introduce all the basic covering space stuff it needs which might be slow for you
And eventually (perhaps inevitably) it gets into analysis heavy stuff
But it's probably less boring than Conway
Tbh for Max you might just prefer reading Forster or Donaldson Riemann surfaces
oo
is this a good book for analysis 1 (course after 'intro to analysis')
this seems like a lot of content
I liked it myself, but yeah it’s a lot of content
Analysis in general just kind of has a lot really
I ended up using both Apostol and Rudin for analysis
thx ab
I prefer Rudin
chapters 3 to 9 is topically whats covered
Marshall's
I think my biggest issue with Stein and Shakarchi Volume 2 is the toy contour business
I'm not a big fan of how it presents that information, but the rest of it is great
@gray gazelle i think so karpov have written one book on Caro kann
What is a good first book on differential equations
apostol? yeah its noice imo, im doing this myself 
doing rudin and apostol together seems nice, tho i havent really tried to do any rudin
It is!
the proofs arent easy to come up with urself, but the content is 😋
Priestley's book is nice i have heard
personally preferred S&S to priestley by a lot
priestley has bad typesetting and decent number of typos 
I'm gonna follow up and say S&S kinda rubs me the wrong way a bit. Toy contours are 🤮 and a lot of ideas are not done topologically when they should be
what is good for complex analysis
Gamelin if you're starting, Narasimhan if you're more advanced
And... tbh I wish there was a book at the "I just did Rudin-level analysis" tier, kinda like S&S but with more topology discussion and whatnot
me too
hear me out
this is your moment to write and publish that book 👀
be the change you want to see in the world
Lol maybe I should but it feels like it'd just be a more concise Gamelin
I liked the Barry Simon complex analysis book although it assumes a bit more real analysis than normal
But none of those toy contours
rectifiable contours instead
still
some people might want that
also you could go a bit deeper into the topological side
A lot of books spawn from lectures so maybe you should teach a course on it
i want an invitation to those lectures 
Any recommendations on linear algebra?
friedberg and spencers book is nice
It's buried in an exercise
That toy contours can be done properly
It's the one thing that turns me off from the book, I think it's an excellent resource for problems though
does anyone have a book recommendation on mathematical notation they found insightful? I find that the math im attempting is unapproachable at times since I cant interpret the actual notation at hand
that is odd, books should either introduce notation, have it listed in some appendix, or it is so standard that the notation itself should be the least problem in being able to understand it
that being said, i also dont think such a book exists: notation differs by field and author and probably other things
if its just standard that are literally used everywhere i think there is a glossary on wikipedia
A mathematical symbol is a figure or a combination of figures that is used to represent a mathematical object, an action on mathematical objects, a relation between mathematical objects, or for structuring the other symbols that occur in a formula. As formulas are entirely constituted with symbols of various types, many symbols are needed for ex...
(this even has a lot of more niche things now that i look at it)
best book for lin alg coming from multivar calc?
I don’t think there are any Lin alg books that leverage much multivariable calc knowledge
But my usual rec is linear algebra done wrong by sergei treil
i like strang
that being said tho
there is very little connection to multi except for maybe projections
and stuff like determinants
Good audiobook for a road trip?
Williamson & Trotter does, and I think so too does Ted Shifrin's text
ah okay, nice. There you go @subtle mango
Wait really?
The type setting is good i think 🤔

i am using friedberg and spencers book and i like it
What prerequisites are there for Thomas Jech's Set Theory book, or should I read Enderton's Mathematical Introduction to Logic first as an intro first before trying Thomas Jech's book
Oh well the version i have at least then oops
The formal prerequisites are some basic topology and some basic model theory. That being said, Jech serves best as a reference book. There are better introductions to set theory e.g. Kunen.
Ah I see, so what are some good introductions to set theory (other than the Kunen book you just suggested)? Also, what do you think of Enderton's Mathematical Intro To Logic
It depends on what you want to learn in set theory. If you want to learn set theory at the level of what's traditionally a graduate course then Kunen, Jech, Schindler are the books worth looking at (Kunen is the most readable though by a significant margin imo).
If you want something simpler then you can look at Enderton's set theory book or Jech and Hrbacek's book.
Ohh ok thanks!
I've heard that Enderton's intro to logic is good from others, but I've never read it.
I see
Anyone have opinions on "Chebyshev polynomials" by Rivlin?
Why not use two separate books
I used ahlfors for complex iirc
And for real analysis I used apostol and rudin
Pirate them or borrow from the university library
The rules say "links or files may not be posted"
I didn't post either
Buy international student editions, they're cheaper
Which country are you in?
Oh
Make good friends with someone from mainland China
Aren't there a bunch of math department students from China? One of them can definitely hook you up
Or pirate it and go to a printing shop
You should be able to find cheaper paperback "international editions" for most of the popular/classic textbooks.
In Canada?
always thought those books said "not for sale in north america"
try checking if there are any good dover texts for analysis
those are a lot cheaper
Can anyone recommend a good book for linear algebra?
Friedberg, insel, and Spence linear algebra book or ladw.
what is ladw?
sorry Linear algebra done wrong, it available for free online.
:0 thanks a lot
bless
Is the art and craft of problem solving a good book to learn beginner graph theory?
I think it should be okay but I wouldn't expect it to cover much in terms of breadth
to learn beginner graph theory probably just any intro to combinatorics book should have it
I tried to learn it from vitaly I voloshin and dienhard diestel and mathematical Olympiad series but couldn't finish even their first chapters
I'll recommend the relevant sections from Bona's A Walk Through Combinatorics, mostly because I simp for his exposition. 😛
I want a book which is fun to read and not too hard i.e. I don't want to give up too soon
you may think its weird or newb, but is there a book for algebraic topology without prerequisite from general topo?? i know there will be a bit of real analysis but must be able to read it after standard algebra courses
Who is insel
Arnold J. Insel is one of the authors
he seems to be affiliated with Illinois State University according to researchgate but nothing else on him (that i could find)
Lol incel

If you lack experience with foundations then I think the regular Linear Algebra text by friedberg et al is pretty solid. I find myself going back to it occasionally. The exercises in the text are a bit too easy for me though generally speaking
I think I’ve noticed it’s pretty difficult to 100% a math text. Just find select books of interest that are important to you and focus on completing those exercises overtime
this might be an odd question but is there a book with just a very long list of integrals and there answers?
engineering textbook
Can anyone recommend good resources for learning topology? (with exercises if possible)
munkres is solid. So are hatcher's notes on point set topology
these are hatchers notes: https://pi.math.cornell.edu/~hatcher/Top/Topdownloads.html
A downloadable textbook in algebraic topology
thanks
np
Can someone please recommend me good book for stochastic processes
Try the CRC Standard Mathematical Tables and Formulae
algebraic or normal
by normal ı mean general
if algebraic
hatcher and j.p may is good
but use both of them
if general
every textbook is really good
what is general topology and algebraic topology?
general topology deals with sets while algebraic topology deals with algebra
general topology is the first to go with
if you havent taken a course or read a book on it
alright, thanks
You can find tables of integrals
I'm partial to this: https://en.m.wikipedia.org/wiki/Gradshteyn_and_Ryzhik
Gradshteyn and Ryzhik (GR) is the informal name of a comprehensive table of integrals originally compiled by the Russian mathematicians I. S. Gradshteyn and I. M. Ryzhik. Its full title today is Table of Integrals, Series, and Products.
Since its first publication in 1943, it was considerably expanded and it soon became a "classic" and highly re...
Beside Rudin and Pugh in #books, is there any other book on analysis? I read their descriptions and they seem to be on extreme sides ^^;
abbott and tao are other options you could look at
tao starts from the naturals and constructs the reals before he starts doing any analysis, and that may or may not be your cup of tea
but I'd recommend at least looking at the exercises in Rudin
And abott?
basically a relatively gentle introduction to analysis
well it's also a good book lol
but it's not really that unique in that it covers a pretty standard set of topics
Is there a book or handout that covers basic/advanced functional equalities well?
Trying to grasp the intuition behind solving them better, so any material would be appreciated!
Can you give me some example of what you call exactly functional equalities ?
Indeed, Olympiad style functional equations where nice properties are assumed and require tricky substitutions and/or other tools to solve. Here is an example:
peaceGiant
oh this kind
I cannot help, since I know none of those
No worries, thanks either way
Maybe Cristopher G. Small, "Functional equations and how to solve them". The book I think is nice, but is the only one I know of this type
I don't think this type of equations require a lot of theory though
Does someone have Dummit and Foote algebra text in pdf with bookmarks btw? There are pdf available in google, but without bookmarks
There's one on the site comprised of the first 3 letters of liberal and genetics.
Halsey Royden
thank you!
Thanks! I'll check it out.
is there a good introductory book on representation theory that someone recommends
Deadass the intro to rep theory in D&F is pretty good
ah i never read D&F so i'll check it out thanks!
Swag
faithful matrix 🙏
does anyone know a good (hopefully free) introduction to proofs?
Any book recommendations on Harmonic analysis?
How's Grafakos?
Is it well written?
I am starting to learn measure theory
After i learn some measure theory, will i be able to read the book directly?
No, you will need to be familiar with complete metric spaces, and to be more specific Hilbert, and also Banach spaces, then Lp spaces (Banach spaces of measurable functions)
(And some multi var Calculus)
I will probably be using some of Schlag's book
Grafakos is a very good book but not gentle for an Introduction to Harmonic Analysis
Here is a free book available online
The point of view is fully Euclidean so that it contains no tools for some futher generalization like Non-commutative Harmonic Analysis
😭
But this is probably, in my opinion, the best Introduction to Harmonic Analysis
The content is already really heavy
Non-commutative Harmonic Analysis require a LOT of background, generally "shorts introduction to non-com. HA" is a scam
It is either not short, or not a Intorduction
Haha, so the plan-ish I've got is
Prob either Folland or Deitmar-Echterhoff for the more rep theory side of harmonic analysis
And Schlag for more standard business
To me a good thing would be to start from euclidean case
Then go on non-com HA on a specific case
like on the Heisenberg group
like Thangavelu
Heisenberg group seems like good shit, at least one prof here's big thing is rep theory of Heisenberg group
And actually it's coming up for me now since I'm learning about something called theta lifting
That's the point this gives you a bridge between no rep Theory to some rep Theory in a simple case
I was personnally introduced to it by the mean of Pseudo Differential Calculus/Semiclassical Analysis
But I dropped non-com. HA I have already too much to learn/to do in another fields
That's fair yeah. Because of automorphic forms the non-commutative stuff is p central to me :p
Oh i see
Actually i am planning to read Axler fully and then proceed to grafakos
The measure theory text
Evan Chens handouts are a pretty decent group for FEs, other than that I have this book by VK Venkatachala named Functional Equations, you can find that on b-ok.as
Any good coordinate geometry books? I just want to learn most of the theory up to K12/Elementary UG Level with some challenging problems. Something like SL Loney's text (I cant use that)
What do you think about stein and Shakarchi?
Many say it doesn't do certain stuff fully rigorously
As it's not a measure theory based text
And thanks for the PDF!
I do not recommend Grafakos as a first read on Harmonic Analysis
The pdf is a free one available online
hence no need to
but just in case
Concerning other references, since I'm new to the English world of undergrad/pre grad references, so i can't tell. Mine are essentially French ones, except Rudin.
But this is not a measure Thoery book
So you are saying it's better to learn Fourier analysis after measure theory?
And not using the Riemann integral
I don't get how you can properly defined the Fourier Transform and its proeprties without the Lebesgue integral
You need to do measure Theory and complete Metrics spaces (as Lp spaces) before
You can do Fourier Analysis without the Lebesgur integral, I learned some my freshman year using the Darboux integral
If the review tells true then this book is not appropriate to start on C.Hao lecture notes.
It wasn’t particularly refined or anything, but you can still get at the ideas
Oh you prove L² is complete space, the the Fourier Transform is a isometry from L² to it self ?
You don’t need all that to get at the basics of what the Fourier transform does lol
The plan here is to check out Harmonic Analysis, which needs very deep properties
I see
And I think this the wrong way to be introduced to the Fourier Transform btw
So you are saying if i wanna go deeper into it, a measure theory based approach is "the" way
There is no other way
I see
Oherwise you'd better do Physics, without proof, just do computations with no rigor
Can i discuss this alone in dm, anatole?
I'm not comfortable with it
To me you should check :
1 - Rudin, Real and Complex Analysis, (Chapters 1, 2 + 8 (for Fubini-Lebesgue Theorem)) -> Measure Theory and Integration
2 - Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (Chapters 4, 5) -> Lp Spaces, and Hilbert Spaces.
3 - Hao, Lecture notes on Harmonic Analysis, the whole thing if you want. -> Harmonic Analysis with all properties of the Fourier Transform in earlier chapters
The order is really important
I think this is best and quicker road map
this gives you less than 350 pages to read
which is pretty honest
this can be achieve in less than 3 months with something like 4hours a week
maybe less
I see
The first 2 are all present in the book i am reading
So i will continue to read
Thanks for the lecture notes!
np
@slim peak you think I can make it far in math while learning on my own in English?
My studies are actually in french
The two first books are available in French
I see but that doesn't answer my question, suppose I used rosen's discrete math book can i use that in my studies?
I don't know that's not how I've done my grad, so i can't tell
I see, thanks
But until my 3rd Uni year, everything I've done was fully in French
Do you switch to English for your thesis
Where we can get videos or courses on topology
I did during my last year just before starting my PhD. Every lecture was in English
oh i see
Anyone have a good book for light reading but otherwise at the graduate math level?
Think "I wanna do math but I'm too lazy to compute anything right now"
I found historical expositions to be really enlightening
Boyer's History of Calculus
Stillwell's Mathematics and its History
I have almost no interest in science history to be honest.
RIP
While I do read history, it's mostly annales stuff.
I keep my math and history separate.
I don't have much then lol
Grad math that's just good for casual browsing
Korner's Fourier Analysis book has interesting applications
If you've read that
Lots of results at a pretty beginner level
Should be pretty light reading for you
If you're at all interested in Topology ~ Thurston has a book on 3 manifolds
and then there's the wild world of 4 manifolds
that are lighter, but still interesting
Garnett & Marshall's Harmonic Measure isn't overly complicated
But it is interesting
You read Munkres
Topology is where math gets to a point where you need to read the standard books
Like it’s just very abstract that just trying to learn it by watching videos and taking an online course does a disservice to understanding what your working with
Munkres has some pedantic wordiness in it at times but it seems quite approachable to me so far. I started studying math rigorously almost 2 years ago
Btw I started Munkres barely a month ago
MAKE sure you go through the entirety of the first chapter. It’s not quite topology yet but trust me. Completing all the exercises is not necessary. You might be able to fly through the first 7 sections like I am
Make sure it’s not the elementary linear algebra book. The one that is titled “linear algebra” is the one you want.
Personally that book is a bit easy for me, but I’m confident you shouldn’t struggle much with it. If your not struggling a lot with the exercises, just pick one or two that are different enough from eachother and before you know it, you might fly through the book too
Lots of redundant exercises in that book, and I think you’ll be able to notice when it gets redundant and you can skip ahead
anyone know a good book on introduction to proofs?
book of proof by hammack
it’s what i’m using, i’m almost halfway done and i really like it
Tell me what you think when you find a PDF or something
and you've read some of it
@misty wyvern https://arxiv.org/pdf/2202.03594.pdf
This packing article by Terry is amusing
any books on information theory?
how to prove it by velleman
best intro to proofs like ever
taught me the basics to proofs and like rules of inference etc in a week or so
even just reading chapter 1-3
Loch's intro proof pdf in #proofs-and-logic pin is also nice. That what I used.
the standard textbook is Thomas and Cover
any good texts on operating systems?
Thank you
just ispired n dimensions and going to study it
😂 
hey guys does anyone have any book recommendation for maths competitions
Zeitz's The Art and Craft of Problem Solving is really nice
thx :)
+1 for Velleman, it's fantastic
-1 for velleman, +1 for aluffi notes 
Algebra: Notes from the Underground by Paolo Aluffi ?
i see
-1 for aluffi notes, +1 for velleman
also btw i just stumbled upon this at the mention of aluffi, could someone check it out and let me know what they think? it looks like a rather unusual algebra book with rings first then modules and groups and fields after
also seems to cover a tiny bit of category theory?
someone made a rather bold claim on goodreads 👀
will possibly replace... Artin.

why did aluffi write two undergrad algebra books
I think the category pilled one is intended as a grad text
weird
i think giving modules a more prominent role in intro abstract algebra is a good idea
although i wonder how he will draw from a large enough example pool of rings
Chapter 0 is generally used as a graduate level text IME, yeah
Problem difficulty alone is higher than advanced undergrad books
Or are we not talking about chapter 0
Talking about Algebra: Notes from the Underground by Aluffi
maybe i will check it out i think aluffi is a good writer
sometimes a little extravagant but i like the exposition
why did he not write chapter 1 
It does ring theory first
Which is something I think more and more departments are embracing
Hungerfords undergrad algebra book also does rings first
I like this too
I did group theory first, but I think ring theory first would be a nice approach to AA
my AA class had like an intro chapter that did both rings and groups at the same time and talked about what subobjects and quotients are
Give me some recommendation
For?
I'm not sure what I think about groups first vs rings first
I could see a case both ways
Naively, groups are simpler objects, but a lot of the theory of abelian groups is wrapped up in the theory of modules over a PID
Also ring theory doesn't rely a ton on group theory
I guess some kinda integrated approach might be a good idea tbh
Maybe you focus for a while on this topic or other but you define groups, rings, and fields from the very beginning
And you can talk about quotients in both, etc
I don't think it matters that much: just don't teach the sylow theorems
Sylow's are neat
this seems odd to me but i would be curious to learn why people think its a good idea
lots of theorems are neat but should not be part of curriculum
Because this a simple, deep, and non-trivial application of Group actions, which have also deep application in other subfields
I dunno, I think they kinda suck. I found algebraic curves and commutative algebra more interesting
Also applications of algebra in different topological settings
Don't require the sylow theorems
I haven't learned any Galois Theory
So if they're useful there, I wouldn't know
Sylow theorems would be more reasonable if they took up a much smaller portion of a group theory course
But a lot of schools spend like
There are other important examples of group actions
weeks on them and various tricks for like, proving there are only 14 groups of order 43243
This kind of stuff sucks
Aren't like Finite Simple groups pretty much all sorted out
Sylow's are useful to prove unicity of simple groupe of order 60
which is A5
(then yes Galois theory)
See now you're going to the Galois stuff
But for a pleb like me that got filtered by algebra before making it to Galois
Groups are a step up in abstraction than rings imo. This is why ring theory might be more suitable to introduce to undergrads first maybe
I did group first, then algebra and ring theory.
Or I guess not
it is literally true
But its also like, more structure to wrap ones head around
seems like groups are very straightforward
lemme check out
Sylow theorems could be like
One or two lectures, or even a subset of a pset
And I'd say that's the right way to go about it
2 lectures is too short but more than 3 or 4 is litterally overkill
PTY: So, groups are less familiar than rings but they are "simpler" in the sense of, fewer axioms going on
I do think a lot about how algebra classes are done should be changed
I think familiarity is a more relevant aspect than simplicity in this sense
They are also usefull to identify subgroups of GLn(Fp)
at least when it comes to the order of teaching
Like, at most you'll be like oo I recognize Euclidean domains
It's useful for students to be put in something abstract nonsense land so they learn to think via axioms, definitions
and not just examples
And maybe the idea of unique factorization a little bit
But otherwise there's not a ton of intuition that you have that's specific to rings and not groups. And in fact you might be inclined to overapply ideas from Z
To rings where it's not good. Also what Moonbears said
Yup, I don't agree with knocking Sylow completely, it's more important than people realize. But these applications should be emphasized instead of like
Spending time in class being like classify groups of X order
I think undergrad underemphasizes examples
my experience is the opposite problem
people even have difficulty coming up with examples sometimes
I mean coming up w/ examples is genuinely a difficult thing to do
Algebra is the one subject where I feel examples aren't underemphasized tho
Also like
To me sylow theorems are just used to answer algebra qualifying exam questions
Kol
Eventually students have to learn how to do shit themselves rather than be spoonfed lol
For a non-trivial abstract Theorem, proving something is good example or counter-example is generally very very long and technical
which is against pedagogy
But yeah I think I'd shift emphasis around a little bit in algebra. Let's say for intro to group theory, quarter long course
I'd probably do
well
I see those two aspects as fairly distinct
working out in full generality facilitates specific things but it does not give them for free
sometimes that coming back from the more sophisticated concepts and tools a ton of work
that comes as a trade off of simple proofs sometimes
I still think both things are important on their own
Finite group examples are either, trivial, too classical (but you want doable exercises to give to your student at the exam), or very difficult
- Categories
- Monoids, groups, submonoids, subgroups
- Homomorphisms, kernel/image, normal subgroups, quotients
- Isomorphism theorems
- Automorphism groups, group actions and representations (biggest part of it)
- Free groups, adjoint functors, presentations
- Finite groups (Sylow, classification of groups of order blah)
- Solvable and nilpotent groups?
Throughout have examples like cyclic groups, S_n, A_n, D_n, matrix groups,
imo galois theory and finitely generated groups are the most urgent issues of algebra like that, but it definitely depends on what you are doing
i never use modules or monoids
but people who scale category-geometry-algebra mountain seem to like all that
free groups are really important actually and their introduction felt really sudden to me
I would say that modules are more important than Galois theory, if you had to choose
Modules are generalized vector spaces
Of course Galois theory is important as well, and close in spirit to covers and the fundamental group in algebraic topology
i would say my perspective is biased
if you are doing certain things you would be crazy not to do modules
i stay near group/semigroup stuff
also yeah its further connection with topology and number theory is big
you can avoid galois theory in number theory for a long time technically, i have a book that does this
but i dont think you can do advanced L functions without it
it's actually (extremely) nontrivial to avoid it entirely but in spots it's feasible and even time saving
this looks great thanks! thanks everyone who +1 velleman looks exactly like what i need thanks
Really depends about what you're working on but Galois theory is quite used in number theory 😄
yeah i think the book i have that does this is by alan baker so
it's pretty cool
it's just a book though, i dont know how far you could take it
Recommended books only for problems for abstract algebra? My class is currently going through Herstein's abstract algebra, but I would like some practice problems I can do with solutions
Galois theory is extremely important to number theory
Algebraic number theory is synonymous with galois theory over Q
yeah i am not suggesting a program of no galois theory number theory haha
quite the contrary, galois theory rules
i say invade every field with galois theory
spread the word of our lord galois
is there any good books for Mersenne primes?
'algebra' meaning?
that term is quite vague at the uni level
there are a ton of options and a lot of people have shockingly strong opinions
LA helps going in but it isnt mandatory for all texts, though i'd at least recommend knowing what a determinant of a matrix is
the only thing you "need" is comfort with proofs
but some books will assume you know LA so you need to make sure your choice doesnt

be a chad and do artin, he covers a ton of LA as well
based

i was also doing artin, didnt do too much but i enjoyed what i did 😌
not really ig
i mean, i havent done any amount of maths to properly comment on this
but there isnt an order really, u just do what u like while exploring stuff
Correct order:
Linear algebra -> abstract algebra -> commutative algebra + homological algebra -> algebraic geometry
Not biased btw
wheres k theory? 
the last 3 entries
i feel like my presence here makes people think k theory is a lot more prominent than it is
which is bizarre given i never talk about it
it does make me think that tbh
Sorry, I don’t encourage people to learn K theory, I think the world has bough depression in it already
i mean it just sounds cool
k theory, m theory (ik they arent exactly related, but still)
its a letter
Yeah Nami like, with how little you talk about K theory I’m surprised ppl know you study it
still 
didnt get any postdocs

i could try again but nah
Wtf
going into industry instead
I thought ur thesis was big poggers
its good but i only applied to really good postdocs
how does stuff after PhD work exactly? 
What’s the like lowest you applied to?
because i figured, with how competitive AG faculty positions are, i dont wanna bother unless i get a really good one
Did you not stray out of like… UMich territory?
yeah mich was my lowest lmao

Couldn’t even get a Mich postdoc even tho they have like 1 billion of those named postdocs
i only applied for 4
Rip
f
i wouldnt be too scared, i think part of it is that my advisor, while very respected, is more a C*/OA guy than purely K theory
What kinda industry jobs are you going for?
so wasnt the best connection to the places i applied
K theory but in finance?
Where did you end up applying? Princeton, Harvard, IAS…?, Mich?
Idk if you apply for IAS postdocs
princeton toronto berkeley mich
toronto weird choice i know since im a student here
but eh
dunno, havent started looking really
Does Toronto send graduates to top tier postdocs with any sort of frequency?
Or is it just the rare one that makes it through
still have to actually get my doctorate yknow
it does
more than any other canada school i believe
Gotcha
logically i couldve applied for more but honestly like
i was already kinda wavering on academia long term anyway
so i decided to just hail mary it
if i get a real good one then go for it
Man
otherwise settle into a comfy tech job or whatever
way less time commitment for more $
I know I said this before and Buncho ripped into me a bit but
It’s hard to imagine from where I am rn
Not shooting for a job in academia
yeah
can you still publish papers if felt like it?
or do u have to be a prof or something to do those?
(of my phd)
It feels like I’d be sunk cost fallacying it 2 years into a PhD
Let alone after graduating
this is a bit slow which might also contribute to not getting a postdoc
though in my defense i skipped a masters
which is abnormal for a canadian
Wait do they care how long you took to get a PhD?
I thought that was literally irrelevant data
Yeah if it’s > 3 years you’re out
Tbh a less ballsy version of that is my angle Namington. I'm prob gonna gun for like, vaguely top schools
in theory, no you dont have to be a prof/affiliated with academia, in practice yes
industry people publishing papers is not really a thing
like they could do it, journals wouldnt reject you just for not having an institution
and a few people have
but its very rare
i certainly dont know of any cases in my subfield
So true
4-5 years is the standard in places where youre expected to have a master's first
maybe 3
Do you have a book recommendation for an INTRODUCTION to statistics ?
I say introduction because I want to start
I thought you asked for a research level book when you Said “INTRODUCTION”
No, mate I'm in middle school and I'm not C.F Gauss.
if i were you id do algebra first
cant do that much with stats without some algebra knowledge
Oh I see, thanks !
idk much tho
about stats
maybe you could
from what ive seen ap stats needs only algebra 1 and 2 i think
and college stats needs calc/real analysis and LA
but take what i say with a grain of salt i done probably as much stats as u
everything in math is interesting
Hey can i get arts of problems solving introductory geometry ?
What books can I learn automorphic forms from?
Daniel Bump's book is pretty rough going
@slim nacelle @sage python
Bump is really the book for learning this properly. If you want a more casual exposure you can try https://arxiv.org/abs/1511.04265
You can skip the physics stuff
Goldfeld-Hundley is easier than Bump
Yeah that’s another good recommendation
If you don't need adelic theory there's also Borel
Lmfao
Automorphic Forms on SL2 (R)?
At this moment, I'm studying all the school math program, so 10th, 11th and 12th-grade, when I finish it what should I study first ?
Linear algebra?
Maybe number theory
It's a hard question to ask myself.
Why not.
if u are in 8th grade, u dont have to worry about that question for now
Number theory is a good idea.
I'm in 9th.
Oh, still, my point stands
You are late to the party man

Do you know how to prove stuff
I respect your opinion but I refuse to be so slow in the learning because of school.
What kind of stuff.

wdym
i dont mean do it with school 
Have you proven anything before
A math proof
Helped yes.
But I don't know how to prove.
Didn't learn and I think it's complicated to know where to start, don't you think ?
Your are studying calc now correct
well if u plan to do maths, u gotta do a lot of proofs
I don't understand
you could start with a super gentle intro to uni math
I didn't finish my learning of the math school program but elaborate, what do you mean by gentle intro to uni math ?
like maybe How to Prove It by Velleman
it basically means learning how to do proofs
yeah mostly just this
without needing much prior knowledge
Thank you for the book recommendation.
learning how to think mathematically is more important than knowing a list of concepts
For example I could prove that a line is asymptotic to a curve of a function.
Well, it's been a while since I've done it, but I could do it before and I will when I'll finish the math program of school study.
I was assuming you did or are doing calculus
But I agree with ab knowing how to prove stuff is the gateway to real maths
You could use a book/etc on how to prove things
I did, but really simple, just the basics
Or linear algebra or analysis and pick it up as you go, some book teaches both proof and an area were to use proofs
I recommend starting math with naive and axiomatic set theory
And after that
Everything about the construction of Numbers up to reals
what are good calculus-based physics textbooks for undergrad level (mechanics, electromagnetism, etc)
The best ones to my knowledge are:
John Taylor Classical Mechanics
David Griffiths Electrodynamics
McIntyre Quantum Mechanics
Schroeder Thermodynamics
And of course supplement with Feynman lectures
bless thank you
Yep, happy to help, a bit of a disclaimer tho, that first and last one are a bit pricy
unfortunately as to be expected when buying textbooks
Yeah it’s regrettable, I looked into some other mechanics books options that are cheaper and there’s legit no other option before grad school level, they just suck (other than Feynman lectures ig)
Not quite physics but you will probably also like James Nearing Math Tools for physics, covers basically all the math you need, and absolutely wonderful exposition
And it’s very cheap LaTeX typeset, open source ftw
I’m looking for a good rigorous beginning graduate complex analysis textbook. I am familiar with computational based complex calculus I should perhaps call it thanks to math methods texts, and I have analysis under my belt after working through Tao. So I’d like something that dives into the theory properly and has good exposition.
This
Check this out
any good advanced python book ?
The official documentation would be the best I imagine
i already know that
i need something that is a bit higher level
Thanks I’ll check them out
Hmm in that case I’d suggest looking for something more specialized than just a generic advanced python book. For whatever you intend to be doing.
Normally if someone wants an advanced programming language book, it would be best to look at the spec instead.
spec ?
That depends how far your in your current language. Sorry I meant documentation.
I just want to know enough for data science and manim animations
If your comfortable using python right now then refer to your docs. If you want book towards data science and the other thing for python then look towards that instead.
what are some good rings first algebra books other than aluffi's
is it an introductory text? cus thats what im looking for
What approximate level are you at
idk much except for basic LA
Should be accessible, yeah
Hii, i would like to ask if anyone has any resource(website, book) on axiomatic set theory proof questions that have answer to them(undergrade level) smtg like this question thankss
Velleman, How to Prove It
Alritee I'll go search it upp, thankss
i almost linked #❓how-to-get-help
recommendations on good intro to NT books?
Serre a course in arithmetic
Or Hardy and Wright
I want to read the 1-2-3 of modular forms by Don Zagier
Yeah that’s a good book
Do you feel its necessary to work through a seperate math methods book or just learn as you go? It seems most physics textbooks have a review of the math necessary in the book.
Learning as you go is completely fine. A math methods textbook is the best companion to have for it though because it’ll give you a fair bit more than a physics textbook will as well as exercises for you to practice and develop comfort and finesse computing and seeing concepts. It’s a lot nicer to be learning physics when you’re only wrapping your head around the physics, and math methods texts make that goal much more feasible. I’d suggest reading both at the same time.
i kinda hate Bump's exposition in Automorphic Forms and Representations
@sudden kindle having not read much of Bump, what in particular do you dislike?
its so technical
doesnt emphasize the important things
i feel like im reading a book in techniques in automorphic forms rather than a book that introduces why i should care about them
I see
I'll be honest you'll get similar vibes from Goldfeld-Hundley
It's easier but there's not much motivation iirc
right now im in the section about converse theorems, and i'm like, why the hell do you want converse theorems?
Hmm
Oh this isn't bad. It's like okay modular forms are of the form sum a_n q^n
If I just manufacture the a_n randomly when is it that a modular form? And the answer is when the L functions have the functional equations you expect
okay so your able to get information about modular forms from just their L functions
cool
also I these twisted modular forms were introduced in the exercises from the previous section and i didnt do those so when i got to this ssection and it all of a sudden talks about modular forms twisted by some dirichlet character im like wtf, idk why you care about these either
Oh that's yeah. Honestly I think a book should make a clear delineation of exercises that need to be solved for the sake of continuity
This is very helpful motivation, thanks
🙂
Hlo
Any good and Easy to understand Intuitive Elementary Number theory resources please.
Kenneth H. Rosen: Elementary number theory
David M. Burton: Elementary Number Theory
J. H. Silverman: A friendly introduction to number theory
I want a book that cover the proof of the area under the graph is computed using the primitive because it still didn't make sense to me
but people didn't define it this way randomly, i mean there's a theory behind it
see e.g. https://en.wikipedia.org/wiki/Jordan_measure, in which case the proof is available at https://math.stackexchange.com/questions/2787850/jordan-measure-and-riemann-integral/2788075
i do think jordan measure probably matches your intuition here
the idea is that "area" is defined as the "accuracy limit" of an approximation of the shape by rectangles (whose area is just defined as base * height), and then we can see that, for curves f on the plane, this corresponds to integrating the indicator function on the subset {(x, y) | 0 < y < f(x)} of the x-y plane (flipped if f is negative, im leaving out details)
turns out this becomes the "infinitely many thin rectangles" intuition of the riemann integral
and so we have our correspondence, at least where jordan content is well-defined.
the connection to indefinite integration is now just the fundamental theorem of calculus which any text should cover
@quick hornet makes sense man thank you !!!
what book should i refer for vector space ?
Any good books introducing proofs and how to write them?
an books particularly related to quadratic residues?
How to Prove it, Velleman
levesque
?
Fundamentals of Number Theory by LeVeque is what invictus meant i assume
Oh.
Thanks, I’ll have a look on it
Serre arithmetic has a nice proof
Hardy and wright's is not too bad either
any good references for Olympiad maths?
try asking out the olympiad server in #old-network
AoPS books
(Draft, I'll update it soon and when final, I'll update this to a page instead of post.) Here is a relatively comprehensive list of resource...
any recs for books as introduction to category theory?
Thanks! I'll check it out
Any book recommendations for calc 2?
If you can, can you list some that would be more so about practice problems
Thank you so much
Here is a set of notes used by Paul Dawkins to teach his Calculus II course at Lamar University. Topics covered are Integration Techniques (Integration by Parts, Trig Substitutions, Partial Fractions, Improper Integrals), Applications (Arc Length, Surface Area, Center of Mass and Probability), Parametric Curves (inclulding various applications)...
Recommendation for books on undergrad probability and stochastic processes?
People i really need help regarding multivariable analysis
I tried reading Munkres analysis on manifolds
It feels incredibly slow and pedantic and i don't understand it at all
And spivak and Rudin are too terse for me
Can someone recommend a good multivariable analysis text?
Try like Ted Shifrin's Multivariable Calculus
There's also youtube lectures by Shifrin to go along with them
This is a pretty niche book, but I like Aluffi's book Chapter 0 (im still working through it)
it is a good book for understanding introductory category stuff via algebra, i agree
Cool i will try
Do you need a link to the youtube series?
The first vid has bad video quality
but the second one on is good
I've heard good things about riehl
aside from Velleman which was already mentioned, I really like Hammack's Book of Proof. It's freely available at http://www.people.vcu.edu/~rhammack/BookOfProof/
Aluffi’s into proof is nice too. http://www.math.hawaii.edu/~pavel/Aluffi_notes.pdf. Not as long as the other mentioned ones.
the man literally includes categories in the prelim chapter
I had the same experience with Munkres and I found spivak confusing.
I think Shifrin would be too slow as well ( his prove of the inverse function theorem is just a stretch out version of Rudins.
My strategy was/is to use rudin up to inverse/implesit function theorem then switch to an intro manifolds book.
Honestly all of the multi variable analysis the average person needs is in the appendix of lee’s ISM
Yeah I found the manifolds section for both Munkres/Spivak to be pretty poor honestly
why
Maybe it’s just me, but I found it hard to get a good intuition for it just in the books
Hi everyone. Physics Final year undergrad here. I am looking for a good book on spin geometry which is accessible to physics students as well. Could someone suggest me such a book?
good textbooks for linalg?
then triel should be fine
its available as a pdf for free online (legally) so look through the 1st chapter, see if you understand
Ok
if not, try an easier book
Thx
So the thing is i learnt the differentiation part of Munkres well... But no matter how hard I try i can't derive the inverse function theorem and implicit function theorem at one go without looking at the text
Those two theorems are intuitive but still the proof is so lengthy to be lost
Shifrins?
I found it.. thanks
yeah it's easy to get lost in trying to prove these two theorems
the best/most elegant way is probably by using Banach's fixed point theorem, dunno if Munkres introduces that at any point in the text
Was the same for me
No
Munkres wanted to spoonfeed ppl
but I remember e.g. Spivak's proof of inverse fn. thm. in CoM didn't assume that and it was pure hell
That was when I decided to slug through rudin
I hate Munkres
I hope his topology book is different atleast
I hate his topo book lmao
I still haven't done the implicit function theorem as yet
you'll find it even more spoonfeed-ey than his multivar book

