#book-recommendations
1 messages · Page 197 of 1
I don't like Linear Algebra for some weird reason
I wish I never have to study it lmao
Matrices, vector spaces and stuff
some of which are much less interesting than others
I like the approach starting off with vector space axioms though; I might pursue it once I finish introductory abstract algebra
you should learn linear algebra before starting abstract
do artin
it combines them
Artin's too terse
but most abstract alg textbooks will assume some familiarity w/ linear
define "linear algebra" here
@steel viper abelian groups with field action
monkaS
I have Gallian's text, it doesn't assume any background in Linear Algebra
What? It's good! XD
Yea Artin assumes some familiarity with LA i feel
Lol I'll just stick with Terry and Gallian for now; I'll come back to Topology latersss
they should make one that assumes a bit too much familiarity and call it the step-book
I like the approach starting off with vector space axioms though; I might pursue it once I finish introductory abstract algebra
@karmic thorn I recommend you Halmos 'finite-dimensional vector spaces'
Cool, I'll check it out!
Does anyone have "Elementary Linear Algebra, Applications Version" the 12th Edition? I tried to look on libgen but I didn't find the 12th edition
did you try searching by isbn
F
Is Thomas better than Stewart for starting Calculus?
Almost every college uses Stewart. @trim narwhal
But choose whichever is cheaper for you to purchase
I think most colleges use Stewart and some use Larson. They’re similar in the amount of problem sets you get. Maybe a bit more with Stewart.
Use Professor Leonard Youtube Channel to learn while doing problems out of the book
My college uses neither
We used Spivak's Calculus, but I don't think that's really for learning Calculus, more for proofs. I've heard of Stewart being standard though
If it isn't, it's close to being one
Overall, a pretty good text for teaching yourself from
any great precalculus textbooks?
AOPS seems to be a good option 
I looked up Math stack exchange and found Precalculus Mathematics in a Nutshell
I think AOPS is too hard for me @wooden sparrow 😅
yeah me too, I checked out the first few pages
Okayy
I think the textbook from open stax is a great resource to start
Yeah they're not bad
What's the best measure theory textbook?
My measure theory course doesn't have a specific textbook but I want to make sure I use a good one for reference
can someone recommend a book for Functions and Graphs, for aptitude.
I'm currently reading "Real Analysis for Graduate Students Measure and Integration Theory" by Bass, and I think that book is pretty good. Also heard that Stein, Tao, Folland, and Bogachev are good
@remote bobcat
Awesome thanks!
Stein gang all the way
Hi I'm doing GCSE higher edexcel paper for 2021 and I haven't worked in around 6 months due to the lock down and I have forgot 90% of the topics I learnt before even tho I hadn't covered all the topics
Is this book good and does it cover all the topics?
you should try and understand the topics, not memorize, so that you dont forget that much
however, the way schools teach maths isnt great
Most people in US are screwed in public education honestly. Unless your parents have money
I think lots of people say education in their own country is bad and worse than others
Well it's easy to criticize what's going wrong than see what's going right/has been improved
Everything pretty much goes right when your born with a silver spoon in your mouth.
It's called investing all your skill points into luck
I'm pretty sure the original statement
Most people in US are screwed in public education honestly. Unless your parents have money
Does anyone know of good references for Euclidean Geometry(not analytic, the polygons and circle stuff with their theorems/proofs)? I'm out of high school but I never really got a grip over Euclidean geometry, and want to brush up to get some idea with proof writing.
if you want an idea with proof writing
you should get a proofs textbook
instead of learning euclidean geometry for its sake
if you want euclidiean geometry you can try the olympiad stuff
by evan chen
I looked at Chen, I'm not exactly looking for olympiad stuff
Mostly the basics, working from basic postulates to the way up.
try euclidean geometry: a first course
Aight, I'll look at that. Thanks!
Some people just get proof writing I guess and don't have to go through a whole proofs book. I don't understand those people personally. I'm thinking they all have comp math experience.
I don’t think anyone gets it overnight
Olympiad experience, prob
thats what comp math is
what no
I don't get why you need an entire book to learn "how to prove things"
Can't you just learn it by looking at some math proofs?
no
its not that easy
kids in grade school spent years doing olympiad and their own extracurricular spare time learning this stuff before majoring in math when they got into college. I'm talking about the kids that score on the top of the curve and immediately go to grad school.
what
those are the ones that "get it" when they freshmen in college lol
In my opinion, proofs are a lot less scary than one might expect
Intuitively, they are just a logical extension of how we think
People may find difficulty with the "rigor" and formalness of proofs, but that comes with practice
yea but it gets more complicated than that when you do proof problems. I'm speaking from personal experience
Yeah, and I speak from mine
definitely but that doesn't happen overnight
I never claimed it happens instantly
Neither did I
I don't get why you need an entire book to learn "how to prove things"
Can't you just learn it by looking at some math proofs?
@hasty turret
regarding that
From my minimal experience with proofs, I'd imagine just looking at proofs and trying to learn it just from their structure would be analogous to looking at a game of chess and figuring out the rules
It would be a longer process than being explained the rules up front
but again
really
Ok,That came off in a bad way
I meant,You would learn proofs eventually if you are exposed to proofs enough
I'd now like to try it lol
What do you mean by exposed to proofs enough? As in being exposed to several "conjectures" and proving them? Or do you mean analyzing proofs and studying their structure and building an intuition from that analysis
Yea,The latter
Ask yourself what the author does or what motivates the said set of steps
Interesting
For example,Take a look at the Contradiction proof of irrationality of √2. A natural approach would be to ask if √2 is rational and ask what would that fact imply
Well, I'm not quite through the meat of Vellemans book, but that actually sounds like a really fun approach
The point is you have to practice to really get it. Maybe there are some people that can just get it.
Like actually work through a proofs book
Any math textbook would force you to get good at proofs
what about height
and uh other genetic things
I'm saying "you have to practice to really get it" is not true for genetic things
Danny Andrews the lad @shadow nebula
what did the lad do this time
Well uh, there's going to be a multi-billion dollar class action by all the businesses that have been shut down for such extended periods of time because of Danny
What exactly is your point
I'm just speaking to regard of spending time studying something to understand it
I like to be very explicit about it honestly cause people like myself can miss between the lines of what other people say
Maybe some people don't need to use a proofs book to understand proofs, but it has been my strategy so far to use a proofs book and it has helped immensely. That is all I'm really getting at here.
@karmic thorn A Course in Geometry: Plane and Solid by Weeks and Adkins, published 1982 by Bates Pub. Co., is a very proof-centric intro-to-Euclidean-geometry textbook which starts at the most basic postulates
Thanks!! I'll check it out for sure.
You're welcome 😄
Can someone recommend some good sources from where I can learn abstract algebra?
Dummit and Foote: the default, nice coverage but wordy in a bad way. This is where I learned most of my ring and field/Galois theory (though I mostly went off lectures). In principle could be done without serious LA but the jury is out on whether that's a good idea.
Artin: The objectively correct entry point for most people. Does a good job at showing you algebra is cool, and doesn't assume any linear algebra background (like I'm pretty sure he defines a matrix lol).
Jacobson: Extremely clean writing, my personal favorite. Covers an interesting set of topics. For this you want some LA
Herstein: Clean writing, good for group theory in particular but kinda deficient elsewhere. Uses x(f) instead of f(x), so you'll have to unlearn it which is a pain in the ass (though I get the point). This is where I learned GT.
Hungerford: I've seen it described as a "watered down rewrite" (presumably of Lang?). Seems clean. Probably a book for which you want LA going in
Lang: The king, good writing but probably a bit too efficient to be a viable first pass
Aluffi: Category memes (which can be good or bad), kinda slow, bad exercises
Challenger Approaching - Knapp: seems like Artin but with a lot more coverage, very promising
@sage python
(sorry for tag)
I took a look at this list and chose lang lol
but ya, choose your poison according to this lol @sweet anchor
Alright, thank you @long bear
thank daminark
he curated the list
I merely saw this one day and decided to take note of this for when I go down the algebra rabbit hole
oh it's in pins
smh
all this time i've been searching "Lang the king" lol
@sweet anchor Hungerford is really a nice and tight one as a standard graduate textbook
@idle blade I will try it then.
Is the Collins edexcel higher maths book good?
Is the Collins edexcel higher maths book good?
@crystal spade the bible is
god is always 100%
I would go with Pinter and Fraleigh if your starting to learn Abstract Algebra. They’re working out great for me so far
To those who read it, how long do you think does it take to finish Halmos 'finite-dimonesional vector spaces'? Doing about 3/4 of the exercises?
Hey guys, I'd like to know how y'all consume math books ? Like do you solve it from cover to cover and read everything, or make notes ? Just wanna have some different perspectives on this.
I do take notes, but rarely review them
The act of taking them help me
I do latex solutions to textbook problems I solve
I won't say I solve every problem in every book though
Granted my current learning is just out of self interest, not for any class or something
The only ppl that go through a book cover to cover solving almost every problem are i) PhD students preparing for Quals/Orals or ii) ppl getting paid to write solutions
I made a rule to try 2/3rds of problems, actually solve 1/3rd to 1/2 of the problems
I think that rule has served me well
Granted my current learning is just out of self interest, not for any class or something
@slender sphinx I'm pretty much in the same direction
Yea I follow same strategy myself. The only time I work out more problems is if I’m struggling a bit with the concept and I need to work through a little more to understand different scenarios of problem sets
Velleman has probably been the only case where I go through almost 90% of the problems but there’s a perfect number of problems per section
I made a rule to try 2/3rds of problems, actually solve 1/3rd to 1/2 of the problems
@marble solar That's interesting...was that rule like something that you realized should work, after solving a lot of problems ?
I asked myself the question "How can I get the gist of what the text is saying, while getting some exercises done without wasting a lot of time trying to get every last one"
and I just decided to do about that
Just skip the problems that seem too easy to you
and I just decided to do about that
@marble solar that does make sense.
How about proofs, how do you deal with them ? do them yourself or just read them and then apply them lemma to the problem, without deriving yourself ?
Some ppl say that reading the theorem and trying to figure out the proof is a good way to learn
I tried to do this with Rudin, but he was much too slick for me
I don't think I've ever been really able to do this unless I've been pretty familiar with the concepts already
e.g. I'm reading a PDE book now and I've been able to prove some of the theorems without looking at anything
Do you feel like going back to Rudin after spending time with other analysis books works?
No I just hate Rudin
I think it’s important to have a good analysis foundation if your going to dig into graduate level texts anyway. Personally working on that lol
Yeah, that's definitely true. But every time I try a text by Rudin
It just ends up feeling alien to me
I might look for more accessible Linear Algebra texts tbh
I started reading Intro to LA by Lang, so far so good. I like something with examples of concepts and not too much formalism for now
Hello. I'm from Sweden and for certain reasons I'm studying from English textbooks. Swedish math syllabus in all HS math classes is really all over the place and it's always really difficult to find an equivalent resource. I'm currently in a class which I pretty much have all the necessary material for (which took some time to figure out) and I'm almost done with it too, thanks to prof. Leonard's work. I must now go into Pre-calc with Trigonometry by prof. Leonard's course order, but in to prepare for the math class that I'm going to start in Januray it seems like I need something else. The class is going to include the subjects listed bellow (forgive the AI translation, but not knowing the names of the concepts in English unfortunately deems this to be my best attempt).
Someone told me this is a mix of high school Trigonometry, calc 1 and calc 2. Should I just find 3 textbooks and learn them respectively one after another? Selecting the correct resource is the absolute most important thing for my self-studying. If I have a text which I can follow I really study amazingly. Otherwise I'm really lost. Please aid me in this task and help me select a textbook that would not only help me ace the upcoming class but also be the right step on the path towards understanding all of calc, linear algebra, probability and stats.
The cosine theorem
Area theorem
Sinus theorem
Trigonometric relationships
The Unity Circle
Basic trigonometric concepts
Problem solving with integrals
The fundamental theorem of the integral calculus
integral calculation
integral calculation with primitive function
area under the graph
integrals
Primitive functions
second derivative
optimization problem
asymptote
maximum and minimum value
suburban derivative
growing or declining
extreme points and extreme values
the equation of the tangent
derivatives of polynomials
limit
change ratio
is anyone familiar with the book "The Art of Mathematics: Coffee Time in Memphis" ? what base knowledge do you need to do the questions in the book?
@weak fossil I've used Thomas' Calculus, 14th ed. and it seems to cover everything you're looking for, and beyond. I found the book to be nice; the exposition is clear and there are lots of practice problems, as well as decent coverage of the underlying theory.
Thanks Manan!
@weak fossil Thomas calc is not bad, but I would suggest read some analysis book
analysis_
i mean many analysis book do what calc does, but more solidly
well, i mean thomas calculus is not bad in the sense that it will provide you computational instruments
ah ok
for precalc i guess it would be fine
great
would this book you linked explain the aforementioned topics?
Is there a difference between a calculus book and a analysis book?
calculus is lighter
much lighter
@weak fossil optimization problem - what exactly you mean here? what is also suburban derivative?
and i do not remember thomas covering trig a lot
he covers, but not so much
sorry bro but this is as much as i can tell u myself
i dont know the names of the topics in english to begin with
so its all i can give u from translating the swedish syllabus
maybe you will give name in swedish?
maybe they meant first derivative
If you're really interested here is a playlist with the entirety of the syllabus of that class
@karmic thorn Thanks for the recommendation dude. My absolute favorite teacher prof. Leonard has full courses on calc 1 2 and 3 and he uses 13th ed of the book! I'm stooooked
Now to find pre-calc resource to bridge the gap..
Great :)
can anyone recommend a game theory book? especially for single player games
Do you mean game theory like
The formal math subject
Or game theory like advice on how to play games
Single player games arent huge in the former normally
Wdym Ultra
@quick hornet I'm 1-1 chessboxing myself
It sounded kinda deep lol
i guess single player games is basically decision theory
there's a part of me I can beat tho :)
your feet
yep, want pics?
you can send them to gabe for quality control first
what do you all think of early transcendentals?
Which book should I read for proofs given I don't have any experience with them and my end goal is to study Abstract Algebra (Thomas W. Judson).
I have narrowed it down to either Sets, Logic, Computation of Open Logic Project or either How To Prove It by Velleman but can't decide any further because I really don't know what should learn in proofs as a pre-requisite for Abstract Algebra
Thank You
Yes, just completed the first chapter. While doing the back exercises I realised that I know the theory used in solution but I don't know how to start or formulate the proof.
Once I read the solutions, I be like "how come I didn't thought of that"
then read a bit of velleman, but generally you pick up proofs by doing proofs
and proofs in abstract algebra have a different "flavor" than proofs in say elementary set theory
Once I read the solutions, I be like "how come I didn't thought of that"
That's me 90% of the time.
Is there a good linear algebra book? (except Axler)
linear algebra done wrong is also decent for a first class
hoffman kunze
and ofc hoffman kunze
finite dimensional vector spaces? Isn't it too advanced for an intro?
Any suggestions for introduction to number theory?
@marble rock k thanks
Thanks I'll check it :)
Any suggestions for introduction to number theory?
I guess Burton's Elementary Number Theory is neat.
Also +1 for burton from me but I’m sure Silverman is good too
Favorite pop math books? I’m looking for biographies but I’ll take any suggestion
Love & Math - Ed Frenkel
higher topos theory
Janich was fine for me for 2 chapters then I switched to Lang
is road to reality just pop math for actual math students
Kunze and Treil a bit too formal for me right now
are you still reading rudin?
i enjoyed both the erdos and perelman biography, even though they are regarded as bad
finite dimensional vector spaces? Isn't it too advanced for an intro?
@gray gazelle I'm reading it as first literature (i had some exposure to numerical linear algebra) and in my opinion it's a really good read and extremely well structured. Of course, some sections are harder than others, but overall doable.
Favorite pop math books? I’m looking for biographies but I’ll take any suggestion
@fathom monolith
I want to be a Mathematician - An Automathography
~ Paul Halmos
mathematicain apology
Hey, I'm a 11th grade student and I'm self learning maths. What book would you recommend I use to self learn? I'm looking at something which will cover trig, inverse trig, logarithms, limits and derivatives
Stewart’s calculus probably
does stewart not assume knowledge of trigonometry?
There is a whole precalc Section but I never looked at it
no
he begins with it
or not begins with it but
is gentle when introducing calculus on trig functions
does anyone know how is 42points math academy
I'll check it out. Thanks
Has anyone used elementary linear algebra by Howard Anton?
No I haven’t. I’m using Into to LA by Lang atm. I switched from LA by Janich and Linear Algebra Done Wrong by Treil
My formal understanding of math rigor is not on par yet for Janich or Treil tbh
I'm trying to find a good book to self learn linear algebra. But there are so many recommendations. Dk which one to use
I’ll go back to Janich and Treil tho but not atm
Try Lang, I just started it but so far I like its approach
I got up to Chapter 3 in Janich and then it just went over my head
i like intro to la by lang as well
And Treil is substantially a bit harder than Janich
Just so you know
Just a bit tho
I think Linear Algebra is traditionally approached assuming the students have some knowledge with proofs. Least old school texts tend to be that way? Idk why.
I'll try Lang. Thanks
i think it goes
Well, Because they didn't have these proof books
Linear Algebra is still relatively elementary at intro level anyway but I think a lot of old school authors treat it like a bridge like with analysis
They assumed it is natural,ig
I can see Linear Algebra being part of the bridge of transition to higher math
Eventually it gets high level
Depends on the book you are using
Some books might be "higher" math, while others might be "lower" math
The problem I have with some books like Hoffman-Kunze especially is just the amount and level of rigor involved.
I am new to reading math rigor like this coming from a CS background
I haven't read this textbook in its entirety, but you may find it useful
The online version includes a couple of nifty visuals and tools
Hey, can someone suggest me a good book on constructing proofs.
I want to learn the basic proving techniques
What do you guys think is the best book for learning real analysis (both single variable and multivariable)?
I don't think I'll need to learn multivariable that much though
but I'll check it out
then yea go ahead read ruddin
its the gold standard
it was a bit tough for me
but if u power through u will benefit significantly
yea its the go-to book to learn real analysis cold
Libgen
I could try to become a pirate
eh I think about getting it. I'm not planning on learning analysis until december but when I do start I want to have good study material
Multivariable is best done by Spivak Calculus on Manifolds
agree
Single variable has a lot of good options, Rudin, Apostol, Pugh, Tao, etc.
It's simply a matter of taste at that point
I'm partial to Pugh
Terry made a book on single variable calculus?
I think its about analysis
Ofc
Ohh
Looking through that book I think I understand now why analysis is so difficult
It's very easy to ask very difficult questions
Does there exist a function that is continuous everywhere but differentiable nowhere?
Can all even numbers greater than 3 be written as the sum of two primes?

a few
I think we can just do a proof by exhaustion
12 = 7 + 5
yeah just keep going, you’re almost there
Woahhh
I'm convinced

Type it in then
Where at?
Anywhere
.iam advanced
,
,iam advanced
Your roles have been updated!
Nice
Ok now that I’m advanced I can prove this conjecture by exhaustion
it will be quite a long paper though
24=13+11
26=13+13
...
😆
why are you guys in #book-recommendations tho
y not 
we’re discussing a topic which a book no one will read will be published about xd
Goldspock conjecture

proof by "It's true every time we check"
Proof by intimidation is the best way to prove something
the nice thing about proof by intimidation is that unlike other, lesser proof methods, it even works on things that aren't true.
It's even more powerful!
proof by just adding an axiom
as a side bonus: if you use this proof technique enough, eventually you dont need to use it anymore
!!!
thats some good bang-for-your-buck right there
the contradiction is what i was implying, yes
although "just start working in true arithmetic" is also tempting
and a valid interpretation of "enough"
not necessarily
i work exclusively in inconsistent logics
not paraconsistent ofc, inconsistent
i dont tell this to the journals i'm submitting to though
see if they figure it out
Gotta make sure the editors are on their toes
yep, I know that's why sometimes there are mistakes in your work dami
you're just trying to see if your profs are alert
was namington testing us in math discussion by applying integration by parts on a composition?
wdym
multiplication by x/x is an application of id (at least as far as integration goes)
and similar for other common "integration tricks"
addition of 0, etc.
sorry I don't see how this is multiplication by x/x :(
Hello, I'm a professional programmer with 10 years of experience. However I do not have any education. I dropped out of high school. (My programming knowledge is self thought.) I want to learn math on a master's degree level. I know I can get up to the high school level with https://khanacademy.org/ but I don't know what should I read after that? I like to read the "classics" I mean books that everyone knows and are really fundamental.
@quiet remnant Khan academy goes a little more than highschool right?
You have lessons till differential equations
it depends how you do diffeqs
Bruh
Differential equations and linear algebra is taught in our second semester of college. High school peaks at single variable calculus and intro to probability
im in middle school and im starting differential :)
nice i guess lol


@wooden sparrow yeah khan academy goes up to basic college level but it's aimed at elementary to high school level.
Okayy
so any suggestions?
just learn up to high school level, then read an analysis and a linear algebra book
@wooden sparrow specialist mathematics in year 12 covers differential equations
obviously not to the depth of a course of a college student
similar to how our vector calculus isn't quite as rigorous as the vector calc a college student does
I didn't know that 
but that's spesh lol
im in middle school and im starting differential :)
And we can only hope he means differetial equations and not differential geometry
didn't wolfram learn topology at 12 lol
Bruh
As a young child, Wolfram had difficulties learning arithmetic. At the age of 12, he wrote a directory of physics. By age 14, he had written three books on particle physics.
Thats all it says on his wikipedia
if you're in middle school and doing diff geo i feel genuinely bad for you
no child deserves to be corrupted that young
why does the internet hate diffgeo so much
ugly
🦵
thats a matter of opinion
do you like it?
ugly.
Two are different things?
what
I didn't know
Yo
two of what things
Topology and geometry
What would happen if I murdered someone
I thought one is a subtopic
@sudden kindle depends if you get caught
kekw
I feel like everyone gets caught
why are you asking?
I had a dream I murdered someone
Hi I'm looking for something to read in my free time, when I'm not doing my university math
I'm starting 2nd year of undergrad from october
I will be doing multivar analysis (analysis 2) and group theory and a bit of classical and differential geometry
this one is a nice book
Thanks, I'll give it a try
Did anyone read this?
Nah don't read any of that
Any book that claims to teach you how to think is nonsense
Find a hobby or something
I want that hobby to be mathy
Do you know how to program
Yeah I did competitive programming
But idk
I don't like computers too much
Reading math books won't teach you anything
You need to do mathematics
I know that ofc
I'm looking for a side thing to work on
You could learn every known proof of quadratic reciprocity
Or every proof of fermat's little theorem
But quadratic reciprocity is actually beautiful, and I'm someone who doesn't experience the feeling of beauty often
Hm so doing random proofs
Seems like a good idea
Beauty as in aesthetic beauty?
Or work on unsolved problems
You might even solve them
If not,You would still learn something new
@gray gazelle would you like one now?
Either no one cares about them or they're effectively impossible
With the current theory
Well,People do solve "unsolved" problems almost every year
@gray gazelle would you like one now?
@lost fjord from october
?
@gray gazelle do you know the statement of quadratic reciprocity at least?
So many people graduate a math degree and don't it's crazy
Nop
actually scrolling up this will be a little too trivial for you and I regret interrupting your convo. sorry
You should rectify that @gray gazelle
Seriously learn the proof with Gauss sums
It's elementary number theory and you should know it
Alright
Also you should learn as much linear algebra as possible
Every waking moment of your life
Can you explain to me what the determinant of a linear transformation is?
What about an eigenvalue or eigenvectors?
These are some more fundamental things that people graduate without a real understand of
Also useful in analysis and differentiatial geometry
Especially for multivariate analysis
A lot of undergrads think they know linear algebra but they in fact do not
It's funny cause I'm reading a graduate textbook called "The Linear Algebra and that Beginning Graduate student should know" lol. It's made specifically for this.
what is 3x-90y=x^y
That's not an answerable question
^
It's an equation
I wouldn't know how to answer that in an explicit formula in of one variables in terms of the other
You would just be the set of ordered pairs that satisfy that relationship. You may want to check out an online graphing calcultor or something and start plotting values.
like fix y and then allow x to vary or something .
if you fix it then it's a polynomial in x.
I genuinely have no idea what quadratic reciprocity is
It takes two numbers and tells you if the first is a square mod the second
Why does it have such a silly name
Because it says the first number being a square mod the second is equivalent to knowing if the second is a square mod the first
Hence quadratic (square) reciprocity (switching roles of the first and second number)
I see
quadratic reciprocity is based
quadratic reciprocity tells you more though, you can figure out for which primes a given number a is a square in Z/(p)
and the real interesting stuff starts when you study it's connection to cyclotomic fields
which is the "motivation" for class field theory
which is ofc one of the biggest research endeavours in modern mathematics
(langlands)
Can you elaborate a bit on cyclotomic fields? I've done galois theory but i don't know what you're meaning
In number theory, the law of quadratic reciprocity, like the Pythagorean theorem, has lent itself to an unusual number of proofs. Several hundred proofs of the law of quadratic reciprocity have been found.
actually langlands himself thought quadratic reciprocity is just some curiosity
especially since the elementary proofs are
well
bad
Isn’t quadratic reciprocity some special case of some big boy thing?
there are higher / more general reciprocity laws
@stray veldt explain Artin reciprocity pls
Does anyone know the best high school geometry textbook to master high school geometry?
AOPS has a book on high school geometry, but I don't know if it's for everyone
@sudden kindle The paper "What is a reciprocity law?" is highly recommended if you want an intuitive understanding of the higher math at play here.
Can you guys help me plz, I’m a cs major and I enjoy theoretical math but I have a hard time with understanding applications, specifically in statistics and combinatorics. Do you guys know any good books that are easy to understand for stats and combinatorics( preferably computations related)
this might not be the right place for this but for anyone with experience in ML i am trying to decide between two books: Mathematics for Machine Learning or Linear Algebra and Learning from Data which in yalls opinion?
aight
so in pins
the list dami curated
with all the algebra books
says lang is too efficient for a first pass
Is this the case with his introductory linear algebra book?
this is a different LA i think
as well as the linear algebra that comes after that one
Lang has two books
and this isnt my first past
lang has like 40 books
lol
One is Intro to LA and the other LA
But he has grad text for LA too I think
But he has grad text for LA too I think
I was asking for myself but i realized you were asking about LA
I’m actually reading Lang’s Intro to LA rn and recommend it
Not to be confused with his other undergrad LA book which is titled Linear Algebra
yeah
so from my understanding
there are three books in that series
but then there is also the massive Algebra book he wrote
I assume dami was talking about the one part of the series
since apparently the other one is massive
like 900 words lol
Wait huh
When I said Lang was king or what?
I was talking huge Lang, the one that's just titled "Algebra"
That's the king of algebra books but it's too much for a beginner
Idk Lang's linear algebra books tbh
900 pages I meant lol
but it's german, so each word is as long as a page.

an algebra book where every word is just aufheben stylized a different way
every character takes up one page.
Can you recommend a really good pre-calculus book?
Lmao you still haven't decided on one?
I'd say grab any book you can, and make sure you understand its contents
You can fill in the gaps on the move
im doing other things before I start doing precalc its quite annoying
im losing my mind actually but its fine 😄
I have it too, and the fact that it's so long got me to reconsider
I'm also a bit discouraged that the chapters I thought I've learned in previous courses of intermediate alg, like u know, just the basics, blitzer teaches in a way that exposes things I didn't know before
terminology etc
Someone here once said that you can't go that wrong with books till high school standard
should I just work all the chapters from A to Z regardless of what I studied before?
My normal strategy is this
Read a chapter
Do 3-5 exercises
If yoy can do them all move on
If you cant, keep doing them until you can get 3-5 right in a row
Also if you can re-derive something after going through it, that's a good sign
Good advice I'll try that. I always do too many lol
Yeah I'll pick the last ones
I would suggest you to do that. It could happen that there is something you don't know hidden in a long chapter. I know it's boring, but if you do the good exercises you'll be fine
Can you also recommend something to learn this:
Geometry
The concept of curve, the equation of a straight line and a parabola and how analytical geometry connects geometric and algebraic concepts.
Use of basic classical theorems in geometry about similarity, congruence and angles.
Relationships and change
I suppose Khan Academy is the answer here?
I dunno if I can trust that site, some say its amazing some say its their worst mistake ever learning from there
Thanks, and since you guys are so helpful, stepping outside of the resources topic, Im wondering about something
Ive been studying several hours a day every day since May, its the first time I study like this so maybe im just inexperienced
What the fk is up with this frustration when something makes no sense like fr
its so draining
hm, well, i guess thats just something one has to figure out on their own
Thats a pretty natural part of studying
i didnt know that lol
A few hard exercises is worth more than 20 easy ones
I guess 20 easy exercises are also worth the effort; part of the reason why I didn't find calculus daunting at school is because I had practised loads of easy algebra/trigonometry problems. Then somehow simplification techniques were just ingrained in my brain, and I didn't struggle with them in calculus.
Hopefully,not all 20 such questions are the same with different numbers
Certainly not. That'll be a waste of time.
But 20 questions, maybe disguised in different forms are a lot better.
Honestly I agree with both Ted and max. I used to do 150 problems per section, like just all of the problems
And the reps made me just do them automatically
Though now I might just do a few of the hardest ones when im revising the old chapters
Be wary of diminishing returns
At some point doing an extra problem probably just isnt worth it
I'd say solve some of the easier ones first; if you're getting them right without issues, jump to the tougher ones.
Who has time for this?
You do this over several years Luna
There are math books I used 6 years ago with problems I still can't solve
Every now and then I'll pull it out and try to make progress
So i am trying to decide between two books: Mathematics for Machine Learning or Linear Algebra and Learning from Data which in yalls opinion?
not sure if anyone here is familar with either
Both 
hahahah ok im also taking classes which would you recommended first?
Who are the authors?
never heard of it
Does anyone have suggestions for textbooks on (a) real analysis and (b) differential equations (ordinary and/or partial) that have a "modern" style to them (with colorful illustrations, lots of practice problems, solutions at the back of the textbook, etc.)?
I'm looking for books that are in the "style" of Larson Calculus 10e and Stewart Calculus 8e - those sorts of books.
Please ping me if you have any really good suggestions.
Anyone know whether I should buy Schneier’s applied cryptography
Yea
👀
It’s 30 bucks though, you sure lol
after discovering libgen you will never be the same
if you like physical copies, sure.
Library Genesis is a scientific community targeting collection of books on natural science disciplines and engineering.
if that's what you're looking for.
Yeah
I’m not sure which edition/volume I should read
Any ideas
Wow that’s kinda op
Does anyone know of any modern style real analysis or differential equations texts?
Books in the style of high school / undergrad calculus textbooks like Larson and Stewart
I think Stephen Abbott's "Understanding Analysis" fits your description. It's a basic intro analysis book
does it have colorful pictures?
I feel like analysis books are far more likely to have pictures than colorful pictures
Since the point would be less wao fancyyy and more, this helps you visualize what's up
I mean it does have pictures
Like most analysis books
Well except for Rudin lol
But those pictures are not colorful
well as long as they're high quality
I think they are of high quality
Also as you move farther you should produce these kind of pictures yourself
Either mentally, on a piece of paper, or using some sort of program
Yeah, the pictures mainly serve a purpose of trying to give you an idea of what the formal stuff you're saying "means" in a... squishy way for lack of a better term?
If that doesn't work out, the alternative would be to simply buy a pack of crayons and color those textbook diagrams yourself
@ Category theory
Pretty sure, graphing them on a program would be better
You would be able to change and experiment,as much as you want
Being able to mentally visualize it is important as well
i mean im pretty bad at visualizing functions in 3d tho
Before that, you need to play around a bit
That's just basically <t,t^2,t^3> where t≥0
😳
but still how'd u draw that tho
like, that makes more sense to visualize
but drawing in 3D is so HARD 😡
well you see looking at it from the xy plane it will be a porabola
looking it from the xz plane will be the y=x^3 curve
yea i was considering just drawing traces LOL but the book wanted an actual 3D drawing 😭
also, do u have any good ODEs or PDEs book suggestions?
I have Morris and Tenenbaum's ODEs, but it's not illustrated much
hello
henlo
there is a download for a book on diffeqs pinned in #multivariable-calculus
is it colorful and "modern-style" tho
Yes actually
Actually
If you want pictures
You can check out Schaum's outline
It's a collection of many math textbooks
All of them are in the style of hs textbooks
With many illustrations
They have most of the undergrad material I think
Yes
yw ig
Tbh I wouldn't say they are great textbooks tho, but they are good for problems and illustrations I guess
I want to learn ode's in more depth the future since I liked playing around with the simpler versions of them
also it seems to have a lot of cool applications
whoever with helper role?
heresy
welp ive downloaded too many things from libgen at once
and its not letting me download more books ;-p;
gotta wait 25 mins ;-;
Just do what I do and don't draw things in 3D 🙃
mfw desmos 3d graphing calc
honestly desmos needs to get 3d into it
I second Abbott. Abbott is great and very visual
I used to hold the hot take that geogebra was better than desmos
which it kinda still is for plotting geo on cartesian plane
but for everything else ig desmos takes the cake
it seems more versatile
and kinda has a community built around it
anyone read "A Concrete Approach to Abstract Algebra" by W. W. Sawyer ?
@granite ferry I haven’t, but I was considering reading it. It looks like it’s a pretty casual-type style
So i am trying to decide between two books: Mathematics for Machine Learning or Linear Algebra and Learning from Data has anyone here gone through them? Which would you recommended?
@solemn mantle I've just been reading the sample ebook, I like the goals behind the book, appears laid out reasonably well
interesting examples so far and it has a unique way of laying out concepts that I was not seeing at all in "Abstract Algebra" by Dummit and Foote
idk
I don't condone downloading books for free. The effort is valuable enough to deserve payment. @long bear
alright
Thats a bad argument
However ever, if an author chooses to give his wirtings away for free, then fine
why not download it, give it a try, and then delete it immediately after
yeah
Downloading books doesnt hurt the mathematicians
royalties
They dont get them

The standard in math lit is that you only get paid to write it
Do you get paid well?
Interesting and I'm certain that is always the case.
I'm not sure I agree that downloading books doesn't hurt the mathematician. Perhaps not directly, but if the publishers are not making as much they may not pay as much in the way you suggest?
technically I am downloaded it after I pay for it
what's the effect on the author?
ok so, it may not directly effect the author who wrote the book, however ever if over time a large number of us only use free copies, is it not possible that the revenue from book sales for the publishers would effect future book deals?
Has this movement started?
thus, less revenue for the mathematicians trying to sell the books
has it started? movement? people have been pirating books since scanners were invented
even before that haha
Precisely.
Lol people been pirating since the printing press was invented
I mean, I get the idea, grains of sands make pile
assuming the continuation of book deals, does not discount the possibility of the overall decrease in mathematicians payment over time
But we're talking about a dessert worth of grains of sand.
So the number of math books is so great that the number of books pirated is so low that the effect on revenue is negligable?
One thing to also factor in, people who would have never payed for it may now cite it or recommend it to others
I like to keep things simple. Book are good, read more of them.
Yes this is clearly an over generalization and assuming many factors.
the number of people pirating books is so great that one person not pirating a book wouldn't make such a huge difference on the "revenue" of authors
yea I mean the logic appears associative
In a lot of publications in science, the author doesn't get shit from the publisher
in fact often the author has to pay to publish
Books are kind of special but not many people write what are technically published as "books"
Unless we're talking baby maths
Very interesting. Actually no, it's sad. It's really sad.
Science is lacking the glory it deserves.
If youve ever been asked to pay to see an article in some science journal... 0% of that goes to the author
Yes I did actually know that.
Instead of downloading them, we should make a group book share where we loan them out to each other for free. Then limit the amount of loaned books based on the actual number of physical copies owned.
or perhaps some sort of book sharing where you only pay shipping
you mean physical books
anonymity would be preferred
I don't mean annonmous shipping per se
everyone would post a book they want to share to the site .... the end user looks through the "library" ... picks a book or books ... puts in their address and pays the shipping cost ... then the owner of the books sends it off with the end users address
the annonmyity would just be protection from having a bunch of public addresses on the "library page" to be scrapped
member only access
idk, more details need to be worked out obviously
libgen gang
illegal to share books? wtf is a library for?
They have licenses to do so
ok how about we "rent" them out
If you have anything that's centralized with a sort of vertical organization then you can pin it exactly on the organizers
Usually these things have horizontal organizations so if one goes down more pop up
is anyone here familiar with Mathematics for Machine Learning or Linear Algebra and Learning from Data? I want to go through one but i cant decide which
my job is analyst/data scientist so yes
which would you recommend?
yea lol
I have not read those so unfortunately I do not feel right giving advice.
I personally find ML much more interesting
I think Linear Algebra and Learning from Data is suppose to provide the LA side of deep learning
oh LA and learning from data is strang
nice
i havent read that one but his other textbooks were usually pretty good
yeah if you like an author's style, probably worth trying another
what aspect of deep learning are you wanting though
thats the problem i dont know
i kinda want to start with a high level overview then move from there
do you have exposure to ML or anything AI?
basic stuff
Be very good at linear algebra and you should be ok for the most part
i.e. basic neural nets
and @hearty steppe i went through strangs first and 70% of axler
i would say i feel pretty solid about my LA
that was the standard reference people were giving for DL a year or two ago: https://www.deeplearningbook.org/
I’m going thru Lang’s intro to LA atm
i mean like how applied? like you just want to implement a project with it or just less theoretical?
less theorectical
or more focused on the applications
especially the practice problems i would like to be more trying to solve a problem than proving something
yea i think looking at strangs practice problems it looks like that
but the other book is a good resource because my prob theory is needs some strengthign tbh
and that can give me some stuff to focus on
I feel like if you spent enough time working with tensors, you’ll be ok
Did you try the 100 page machine learning book?
@hearty steppe no whats the name?
is that it?
yep googled it hahahah
that kinda of stuff always makes me a bit wary tho
There is a book on group theory, by American Mathematical Society, has rubik's cubes drawn near its title.. not too long.. around 100 pages.. I can't remeber its name .. it was for basics.. i liked its approach.. but can't find now. Please help !!!!🙏 🙏
perhaps An Elementary Introduction to Group Theory by Charkani?
No.. it's pdf was available online
like directly in google search
Got it. Visual Group Theory by Nathan Carter. Thanks anyway ,@quick hornet 🙂
which one ?
perhaps An Elementary Introduction to Group Theory by Charkani?
This is good too 🙂
An Illustrated Theory Of Numbers
the rubiks cube group is disappointingly ugly
@solemn mantle I paid the $10 for the kindle version last night when I was done with the sample (worth it for darkmode alone lol). That looks like a scanned copy of the original text from 1959 though which is crazy.

@smoky surge If you are looking to solve practical "real world" machine learning problems there is always kaggle.com competitions and such. Even if you just want to play around with some real world data, kaggle has enough massive data sets where you will be entertained for years. If you are looking to solve problems at the cutting edge of model design and manual creation of models that is a whole other area. There is a lot of research conducted around model design/layout/types of layers/activation functions/numbers of "neurons" used/gradient decent and other such optimizations all used to solve various types of problems and explore how some designs are more effective than other for different reasons.
Beginner in math as well. I read several chapters from "Visual Group Theory" and while its aimed at high schoolers to give an intuitive overview of group theory, I found its lack of rigor really confusing, so I ditched it and started studying from a rigorous book in abstract algebra and it cleared the confusion up.
Gotcha. Yea so currently i'm reading: " A Concrete Approach to Linear Algebra" - W. W. Sayer; For more of a "light" reading before I go to sleep. "Abstract Algebra: Theory and Applications" - Thomas W. Judson; as my primary read during the day, and source of exercises to do. Then I also have the lecture notes from here: https://ocw.mit.edu/courses/mathematics/18-703-modern-algebra-spring-2013/ which I find very useful so far.
I also have "Abstract Algebra, 3rd Edition" - Dummit and Foote ... which is apparently the classic goto book but it was a little deep for me personally. For now at least. I'm still trying to catch back up where I left off years ago.
@smoky surge If you are looking to solve practical "real world" machine learning problems there is always kaggle.com competitions and such. Even if you just want to play around with some real world data, kaggle has enough massive data sets where you will be entertained for years. If you are looking to solve problems at the cutting edge of model design and manual creation of models that is a whole other area. There is a lot of research conducted around model design/layout/types of layers/activation functions/numbers of "neurons" used/gradient decent and other such optimizations all used to solve various types of problems and explore how some designs are more effective than other for different reasons.
@granite ferry So im actually interested in using "ML" to help with diagnosing mental health disorders but I hate treating models as black boxes so while I dont necessarily want to be creating new models I want to have the capability if need be
not sure if that makes sense
Yea that makes sense. You are looking to have some more transparency into the models themselves? is that what you mean?
So that you may design them yourself.
But won't involving neural networks in machine learning make it virtually impossible to understand?
I would not say "impossible" at all.
There has been a lot of work in the area of understanding what the models, specifically each layer of a model is actually doing.
Ohh that's nice
And a lot of work in the area of design such as this LSTM (long short term memory) model which has applications in time series analysis
Yea exactly
The tools used to design these such as Keras/Tensorflow have abstracted away most of the actually maths needed to design/experiment with these types of designs.
i dont necessarily want to be just designing models but if I need to I want to be able to understand when and how
does that make sense?
Yes I agree. First principals thinking can be beneficial in most areas.
yea exactly
There are certainly limits though. I personally find myself in "analysis paralysis" to often. Where i'm researching/reading much more than just doing/making something.
yea i guess id just have to be cognizant of that Im not at that point yep but i could see that happening
Part of the "analysis paralysis" is simply just learning more until you have developed concept fluency to navigate the waters.
@sage python is the second half of Bass's Real analysis for graduate students just functional analysis?
@hearty steppe yes that is absolutely true, however you can also easily branch out down tangents that are far enough away from the original scope of the problem where they eventually become irrelevant
thus, time is spent wastefully analyzing instead of applying topics already learned
If everyone spent all of their time researching and reading only, problems would not ever get solved in a lifetime. It's not like you can just instantly transfer knowledge gained in a lifetime to another person (not yet anyway, #neuralink #elonmusk) lol
Does anyone else struggle with balancing between having loose associations and concrete connections between ideas?
lol
So I'm reading Spivak, and I'm enjoying it very much. The only problem is the exercises: many of them are quite difficult, and it takes a long time to solve them, however I would really like to go on with Calculus. Can I go on and go back to the exercises later or should I do the exercises before moving on to the next chapter?
Try doing calculus problems out of a book like Stewart
you dont have to do them all, especially in a book like spivak
some books put results essential for later chapters in the exercises with the expectation that you'll do them
but spivak does not iirc
Also Paul’s online notes
@limpid gazelle Yeah I think starting chapter 15 or 16 it starts moving away from straight measure theory
is anyone here familiar with davenport's multiplicative number theory?
Alright
Not personally but I know that the class here on analytic NT used that as its textbook
I'm around 60 pages in, it is well on its way to becoming the best NT book I've read
Nice, given that my area is shaping up to be analytic number theory I should prob look at it lmao
so I'd recommend that to anyone interested in analytic nt
haha go for it
i had to re learn some complex analysis though, was a bit rusty
Makes sense lol. What kinda stuff are you learning in there now?
Wait have you guys not known about this? I'm like n% a harmonic analyst now
dirichlet's class number formula and stuff currently
i vaguely knew that but i figured
you would see the light
but it seems youve fallen deeper into the darkness
analysis is a cult
Analysis > Other Fields
I mean I started off as an analyst, like for most of my 4 undergrad I was very much into algebra but way better at analysis than at most other subjects
the main purpose in algebra is to prove theorems about number theory



