#book-recommendations
1 messages · Page 24 of 1

Oh that’s neat
hey guys
i want to read a book about math
like uh
i dont know how to explain
a book with a story
instead of sullying someone should just report this guy... <@&268886789983436800>
@eager ermine this aint the channel for math help
???????????//
i am new
i am old bye
leaving this server
nooo don't leave
Major loss
sed
im trying to learn calc ahread of uni (im in gr12)
i have stewarts early transcendental 9th edition
and aops calculus
i heard spivak and apostol are really good
any advice on the pros/cons of each?
What are some math books that you can read in bed?
The elitism of some authors or people is very unfun to deal with.
The Banach-Tarski paradox from cambridge
The terms don't have neutral connotation. In my opinion there is implicit elitism in saying 'it is easy'. It can make it off putting for struggling students. Does a logical jump really have to be notated using the phrase 'it is easy'?
I think its fine. Part of mathmetical maturity is understanding that "it is easy" doenst mean you should immediately see 100% of it, but that its something that should fall out easily from working it out.
although i see an arguement for not using it on like
intro books ig
for ppl new to math
I don't like it. It has unnecessary connotation associated with it. In computer science "master slave" has specific meaning but they are still trying to phase it out.
I mean these are pretty different things lol
I disagree that putting words like "it is easy" is elitism, in fact I'd say it is closer to the opposite
I think what happens is that, those who are seasoned mathematicians have already been humbled thousands of times, it's really no big deal seeing the phrase "it is easy" in a proof and struggling a whole day to understand why it is so
but for beginners who haven't had these experiences, it will instead sap your motivation and make you feel insecure
so I'd agree that these phrases aren't appropriate for introductory books but appropriate for whatever that follows
lmao meanwhile me tryna get advice on a calc book
my opinion though is that maybe they mean that certain thing is "easier" than the rest of the proof, and getting the idea of the big ideas is more important
I'm not a seasoned mathematician. My analysis and topology and algebra and manifolds books all say that stupid shit and I get easily triggered because I have poor mental health. I think not giving a shit about mental health makes math worse.
can't tell if this is /s
Is that the thing in the first 5 pages of folland
I am not sure what you are looking for here, but even if phrases like "it is easy to see" are dropped, there will always be proofs in math books where the author leaves gaps to fill for the reader, either because the details are too technical or because the author wants the reader to figure it out on their own.
I don't have a problem with gaps or glossing over details, just the pretentious language
but I've explained to you it is not meant to be pretentious at all
I am all for trying to be accommodating, but if you know a phrase isn't meant to be insulting and yet you still find a way to get insulted, you should try working that out yourself
I just laugh it off and move off lol
Lmao another "Trivial proof"
But in Enderton this doesn't really happen much 
I mean the truth is the same with responding to a phrase “I dont care”
Or any phrase
Some people have personal psychological behaviors that arnt neurotypical tho, so this may be his natural way of being
I don't buy the idea that this is not something you can work on yourself
and I think it is an inherently fruitful endeavor, it's not just for some phrases in a book
but I'll cut the discussion here
Whats /s
Ive been in therapy and psychiatrists for my whole life. Fuck you.
Also claiming that the meaning of the phrase is completely decoupled from the colloquial dialect is something I think one should be very skeptical of, not the other way around. How do I know that it wasn't used historically to be demeaning and then people kept using the same language and 'gave it new interpretation'?
Elitism in math is super apparent in many ways and this is only one.
@gray jungle
Oh gotcha , no im not being sarcastic @alpine rover its a interesting book
Thanks for clarification
Even if you think they deserve this, lets try to not be aggressive
I usually try to ignore people that annoy me 
oh hello Blitz thanks for your help with alg geo in the other server
Im upset because he just casually told me to 'work on' my mental illness
no problem xd
I know nothing of alg geo so that was a new one for me
In any case, those phrases will always be a thing, and something I’ll be incorporating in my mathematical explanations
Yes I am aware I won't bring about change. But I get pissed and say shit to whoever whenever I hear it.
Im sorry for what you are going through , i can understand how these phrases can be annoying and indeed while some authors may use it as a elitism phrase , most of them are simply following standard practice of leaving details that the reader is capable to fill out with some effort
As opposed to possibly crucial proof ideas that can be really difficult to see without guidance at the end there has to be a balance in how much a book can hold the readers hand , and the term "it is easy" is in reference to perhaps a much more difficult and deep idea in the proof
Like the author wont write "its easy to verify" under tychonoffs theorem
But they might right it with certain small details
As Nietzche said, “He who fights with monsters should look to it that he himself does not become a monster.”
But lets end this conversation here
I just wish they could say something else. Maybe "glossing over some details..."
Fine
insulting people is bad
Thats a good suggestion
But for now try to see these terms as the authors way of nicely keeping you on guard , even if thats not what some of them intended
it's not easy to always withstand people so I understand you, but you should be less hot-headed next time - that'll just be better for you
I had many situations where I felt the other party to be really annoying or insulting, but I suffered through
generally try to assume good intentions

I recommend Euclid and his elements
hey anyone have any reccomendations for books they would like latex'd?
preferably in the 50-150 page range
Is 500 okay?
Engelking's General topology and Dugundji's General topology
By latex'd you meant that pdfs of them are scans for example, right?
I understood it that way
like very badly typeset books that you would want to see in a new latex typesetting
Oh, like the ones with bad font?
yeah
Then forget what I said 
We're on the same frequency now
I had few books like this that I thought were cool. But I usually read a result or two and delete the pdf/djvu
lol
Not a short book one but "Victoria Symposium on Nonstandard Analysis: University of Victoria 1972" had a really bad typset
I definitely agree with you that it was wrong to delay the construction of R until the ending, it's definitely one of the weaknesses of the book, I specifically mentioned "with no other reference", I think it's wrong to just take 1 book and only stick to that point of view since having multiple texts will cover the flaws of each other, but Rudin as your first text with no other reference unless you're already really good at writing proofs will take you an ungodly amount of time
thats an interesting one, ill add it to our list
I considered applying to victoria they have C* people btw
and not only does he delay it he doesn't start from N if my memory isn't failing me
might be wrong on that one would have to check
but yeah if you don't have an instructor for that subject you should definitely have more than 1 reference
to be able to compare
Atiyah's K Theory book
Peter Constantin - Navier-Stokes equation
some profs recommend this book, but oh boi I sure as hell don't want to read it 
Auslander, minimal flows and their extensions
oh nice this is actually perfect for a project I had in mind in a way
yeah we for sure plan to get to this at some point
although i have heard arguements to do botts book on the topic instead
should be interesting which one we pick lol
this one looks good too, I will add to the list
(when i said looks good i mean it looks like shit hence good for the project lol)
mfw Navier Stokes
A book that explains Handle decomposition (Handle slide, cancellations, surgery) in detail for undergrads? I feel like every source I encountered assumes that you can visualize 4 dimensions and above so probably I am missing pre-reqs.
sorry I thought I had replied. My question is, have you tried this book and vouch for it? Like do they have any kind of refund policy if I don't like it
Or any sort of demo version I can look at before buying
"Lectures on stochastic analysis: diffusion theory" by Stroock
what are the best books for combinatorics
more specifically dearrangments in combinatorics
what is a good resource on stationary measures on a Hilbert space like L^2(X) (where X is compact), from a Markov process on it? for reference the markov process is like just applying heat flow with some noise
hmm, is the fancy name of this topic "the existence of stationary measures for stochastic evolution equations"
anybody know a good source on the projective line?
I tried Hartshorne's book on Projective Geometry but it only mentions it briefly.
Any good textbooks for an introduction to statistical modelling with the following topics
what do you want to know, the book should give you the tools to study it
anything really, I can prove stuff on my own, just trying to get a sense of what is known and out there.
i mean its a really simple example of a projective space/an algebraic curve/wtv you want; there isnt too much interesting to say about it immediately
i guess there is something more interesting to say in specific cases like over the complex numbers, or maybe over some weird rings (?)
also wondering if there is a synthetic notion
Riemann sphere also counts
but it is a bit weird how he skips immediately to the plane
Removed the studying! role from you.
well, projective planes are a field of active research (somewhat at least)
the projective line is very simple
there isnt much to say about it in general
you might be surprised
try me 😛
ok Wikipedia has an article that I didn't see before
I mean
the empty set is very simple, but we can still learn new things about it. like who would have known that it can be used to represent logical negation? but in propositions as types that's a crucial observation.

the only interesting thing i could find is https://ncatlab.org/nlab/show/projective+line#synthetic_projective_lines
though this seems to list all examples
hmm ok
intro real analysis book which covers a lot of theorems and topics ... from basic level
This one is awesome
And very well known
Starts from the very basics
@wind trail it gets tough really fast tho
i suggest abbott's understanding analysis. it just has analysis on the real line which makes it easy to understand the topological properties when u are learning for the first time.
very good
um why
i enjoyed it a lot
is it good for learning real analysis the first time ?
most ppl say no, but I found it not too difficult
abbott is usually the starter
try that then
should abstract algebra be studied before real analysis ?
no
so is it not useful ?
They can be studied in either order, or in parallel
Except where you’re at a uni where one of those is your “intro to proofs” course
And not the other
i am very new to proofs
If you’re self studying, that part of my comment doesn’t matter, although doing some form of introduction to proofs may be useful
do you recommend any youtube series on intro proof ?
I don’t really know any
I don’t really use YouTube to learn new maths
Pugh can be read even without knowing how to write proofs, but it will be a difficult (yet fruitful) journey... You can also read Abbott's understanding analysis or Ross' analysis (I forgot the exact name but I remember the proofs in this book were very accessible) for a (slightly) gentler treatment
i am so stressed about this subject ...
Its not that hard
You just need patience to get good at it
It's really not that difficult to get a handle of... you just need to put in a lot of effort
a lot of effort..... more than calculus 3 ?
Eh you can't really compare the two
hmmm should i take a book which teaches it using metric spaces
Rudin and Pugh do metric spaces
or something which teaches it seperately for 1D and 2D
which seems easier
i am a engineering major btw taking
it
You're really overthinking it
cuz its in my course
You can't go wrong with Pugh/ Rudin/Abbott
i finished all calculus and don't know Epsilon delta definitions .....i wish i over thought before starting calculus
Just try reading and then decide yourself
Actually most ppl who learn analysis for the first time don't know the epsilon delta defn
I mean at least in my country
Rudin
Tao
What's your endgoal exactly
What's the difference tho?
passing the test ....and become a engineer
Then like read the recommended textbooks?
imma read 1st chapter of all those you sent and choose one wisely
Is it supposed to be like "rigorous calc*
Uh.. that sounds like a hugely inefficient plan
Math books take time to read, start with a book and it it doesn't work out for you, by all means change the book but if something works, there's no reason to try out all possible books before deciding
Bartle and Sherbert is very good
iirc Hairer has notes on this
Erdogic process something lecture notes right? I have it. But stochastic evolution on infinite dimensional L^2 is a bit trickier
Guys, I'm taking a CS course and my math knowledge is not that good. I failed at differential calculus exam (it was about limits and derivatives) and as the 2nd semester came I started failing understanding the basic concepts of algorithms (big O notation, gamma and theta notations). I mean.. I understand them, but not in a mathematical way (couldn't understand the demonstrations).
I'm familiar with the concept of limit and function, but that's it, that's all. Everything else is like arab for me, I don't know trigonometry, I don't know how to deal with exponentials, I don't know anything.
That said, I always struggled with math as** I can't find it enjoyable**. While I really enjoy taking other courses and learning other things (boolean algebra, logic gates, assembly, programming etc) I really can't take myself to enjoy math. It almost feels like somebody's speaking another language and I have to find a meaning to what they say 😐 .
I also have an integral calculus course to attend this semester, and I'm already not understanding it xD (it was the 2nd lesson today). He started talking about series and successions (idk if that's the correct way to translate the arguments of today's lesson) and I couldn't understand anything basically 😐
And I really don't know where to start, what to do
I thought about starting by reading Carl Stitz "Pre-Calculus"
But I don't know
What would be your best suggestion for me? 😦
Goodnotes op
Read Tao's Analysis
Speedrun through what you already know.
But to be honest, you should have done this sooner. It may be too late. Or not. You may need to go to office hours and ask for personal tutoring
Well, maybe it's too late, but I'll manage to do it anyway
In case I can't get to the moon, I'll still be floating through stars :3
What math classes have you taken? Discrete math, non-rigorous calculus? What CS course is being a problem?
Tao’s Analysis imo is at a higher level than you’re expected to know. You’re getting tripped up on basic high school math. Maybe going through a book like Lang’s Basic Mathematics would help. Seems like you’ll really need to slow down for a bit
Maybe go speak with your advisor also?
it may be good advice to study precalc yes if you don't know how to calculate with trig / exp
and then you work through James Stewart's Calculus book (which provides practical first course on calculus without any proofs). Most likely Stewart is all you will need in your course.
And then if you want to understand why certain things work and others don't, you can read Tao's Analysis (after Stewart). I know that some people like to understand more than others.
don't read everything. you can skip around, and ask your professor / TA in office hours what you need to know
Here is a set of notes used by Paul Dawkins to teach his Calculus I course at Lamar University. Included are detailed discussions of Limits (Properties, Computing, One-sided, Limits at Infinity, Continuity), Derivatives (Basic Formulas, Product/Quotient/Chain Rules L'Hospitals Rule, Increasing/Decreasing/Concave Up/Concave Down, Related Rates, ...
Good resource especially the first section
Well, before university I didn't learn that much math because I used to drop out of school at 15 and now I'm 25.
In the university we took Differential Calculus and another course that's literally called "Mathematical Methods for CS" that is basically discrete math and explains combinatorial calculus, functions, relations and logic (truth tables and stuff like that)
Would you guys recommend Bartle & Sherbert's "Introduction to Real Analysis" or Tao's "Analysis I" as an introductory book on analysis?
Bartle doesn't construct the real numbers or go into the depths of Tao's discussions. I imagine you can use it if you want to put off Tao and Rudin until later
The real value of reading Tao or Eli Stein however, is to hear their discussions. Intuition is a valuable thing. Try to prove the theorems yourself before reading the proofs, as much as possible
I recommend berserk
Nuff said
Does construction of R matter much?
definitely won't matter for people who have just started calculus and have more practical concerns. They can just blackbox it. Matters when you try to understand things in a rigorous way.
I mean even from an analysis pov, feels like you just use ordered field with suprema
I think completing a metric space is a more general concept, such as for p-adic numbers
That much is true yeah
I'm not sure if they have a refund policy. I learned a ton from the first chapter of that book but I didn't go onward. It's a very dry book but as far as I can tell it has a lot of the right content and it's all laid out pretty clearly. However, the dryness of the writing and the really boring typesetting and font make me not want to pick it up again. Now that I have the basics down, I'm planning to work on a more "exciting" abstract algebra book since I don't need the super-pedantic notation that the Cooperstein book has. I hope that's a helpful "review."
I thought the Bartle book was pretty good; I've never looked at the Tao book
if you like chatting
sounds like you will like tao
If you want stochastic evolution equations in infinite dimensions, I can recommend "Stochastic differential equations in infinite dimensions" by Gawarecki and Mandrekar
lol there's a book with nearly exact same name "Stochastic Equations in Infinite Dimensions"
LMAO
im getting a reference AT book. hatcher is too handwavy so i was looking at spanier but i hear it's dated. is there anything similar in rigor and more modern? categorical would be nice
either tom dieck or peter may
Tom dieck is p good for reference I second
i do like dieck
i also want to mention that looking at spanier it feels like hatcher but done right. am i not familiar enough with modern AT to notice its age, or is it not really that dated
i wish i could buy all of these 
Book recommendations for the major branches of math?
What level are you at
High school level
But I have a thing for analysis and higher level maths
I would like harder material
Abbott for analysis, axler for lin alg, munkres for topology, enderton for set theory
Try Michael artin algebra
Teaches you algebra and Lin alg together
I’m not a fan of a ler
I also don't recommend Axler, it's mostly fine but toward the end it gives you brainworms
Some reading recommendation on estimation theory for someone who's done a basic level course in stats and is getting started with machine learning? (Online course recommendation wud do too) Also for a beginner level text in optimization?
you mean the determinants bit? I was thinking of using it until determinants and then picking a diff book
I need a book for understanding the affine space :(
Any nice fiction books to chill and relax with?
Dostokevsky
Pick any from a top 50/100 novel list

Well, not all of them would be super chill (thinking is probably necessary for a book to be good, but this shouldn't be stressful thinking), but certainly worth to read. But I think still most are readable in a chill way.
Hi, guys! Can someone recommend a good introduction to math logic?
Leary, A Friendly Introduction to Mathematical Logic
the part about determinants is fine, that is the last section
I believe he is talking about the section before that, where the characteristic polynomial for a real VS is introduced in an absolute ridiculous way just to keep not talking about determinants
I just don't get why he has to introduce them at the very end
I think that’s kinda the point of the book
He’s trying to not use determinants, and teach LA
yes but this is not a binary
And the best way to do it is not to have them
just because you are against introducing determinants early on and generally avoiding their use in proofs doesn't mean you have to introduce them at the very end
goes from a somewhat reasonable idea to a not very reasonable one
I am aware of this paper
again, I broadly understand his intentions, I already said as much...
You should go see someone if that is a depiction of reality for you

Pawnbrokers sweating right now
i read ready player one again
I learned out of Spanier and it was not dated.
There are problems with it but it's not really that it's dated
the problem is more that it's too detailed and contains too many theorems that are of only technical interest.
You need somebody to tell you what the important theorems are so you don't spend two years reading it
you need to like, carefully read the opening paragraph of each section to figure out what the important theorems are, and then ignore the other 50%
Like the biggest problem is that it takes 150 pages to get to homology because he grinds out all these theorems on simplicial complexes and fibrations early on
Wha
Spanier would be a better book if you attacked it with a pair of scissors and got rid of 50% of the content
it's a compromise between a text and a reference but it doesn't balance them well. it just slowly turns from a textbook into a reference and before you realize it you're reading an encyclopedia of everything that's ever been figured out about singular cohomology
I also hate to say it but some intuition is lost with the formality.
The proof of poincare duality, i have no idea what the intuitive content of that is.
You have to supplement it with a book that explains the geometric content of theorems sometimes
i did end up getting spanier because dieck was a bit more expensive and also out of stock where i looked. i’m hoping for more of a reference than anything so as long as it’s not dated i think i’ll be alright with it. i did like the formalism when i took a look yesterday
one day when i have a little more spending cash i might buy dieck or something but spanier will do the trick for now
Never been through a mathematics book, how would one approach and learn from it?
Best textbook for self-learning multivariable/vector calculus?
Do you want more theory, computations, physics intuition, what?
Me?
Yeah
The recommendation might depend on that a little bit. For more proof-based stuff I'd probably recommend Shifrin's Multivariable Math, and tbh it does have some physical intuition and computational examples
So it's prob the best "well-rounded" book I know of
But for some people the proofs and theory are a distraction, in which case maybe I'd recommend other books
Well i got done with single variable calculus and now eager to learn vector and multivariable calculus
Mainly because i want to learn more into vector spaces and fluid dynamics
And also because i want to get ahead before i actually take the equivalent of vector/multi calc in college
Did your single variable calculus prove theorems? E.g. did you guys prove the fundamental theorem of calculus? The man value theorem?
I just did the regular calculus classes
And whatever your answer is to that, do you want to learn how to prove theorems? Or is your focus using the theorems to calculate and to do problems in engineering/physics?
Honestly id like both im just very curious and i want to learn more of math and mathematical physics
Then read Shifrin
Man these prices 😹
I mean i can probably find a second hand or whatever
Well let me look I have one book in mind
And if it's suitable I'll recommend since it's pretty cheap
You think ill be alright understanding all this just from calculus?
hubbard hubbard is touted as a cheaper shifrin generally
can buy from their website for a discount apparently
Hubbard-Hubbard has very fucky organization
Try "Advanced Calculus of Several Variables" by Edwards
whether you are gonna follow shifrin's book or not, this playlist is a godsend https://www.youtube.com/playlist?list=PL5I-Eyk8l9FHdJUd9UujGcvumjCFPHbrd
Thats more my price range
But you think ill be fine learning this by myself from regular single variable calculus foundation?
I didn't use this myself but the preface of the book suggests so
Perfect thanks alot
How much of Atiyah Macdonald needs Ext/Tor (and stuff that they only introduce using it)?
not so much a discount as much as amazon sells hubbard and hubbard at a substantial markup
There are... 'creative' ways you can get free PDFs of books online. Then you can print it out if you want
first book of the bible library may have it
or last letter of the alphabet library
Round Ireland with a Fridge
kingkiller chronicles
How do you guys approach digital v. Physical books?
I kinda wanna start building up my library and I do feel like having a physical copy is good from a physiological standpoint, but 💰
physical is nice but im not spending $100 on a textbook
What about like monographs or something
tbh I'd definitely prefer physical over digital but
Like let’s say you want serge langa algebra, which is 1k pages
as u pointed out, money
also, it can be a pain when they're so thick
Id assume you’d use it so much you’d get your moneys worth
me reading serge lang linear alg XD
Yeah fs…
Didn’t know he had a lin algebra book
Need to check it out cause I didn’t enjoy axler
XD
If you spend that much, you have to read it 
on one hand, true; but on the other hand, sometimes it is nice to switch around between textbooks because one might explain something better than another
Also true
But also
Struggling with a single textbook is healthy imo
me after reading George Shilov's lin alg and not understanding anyt and then moving to serge lang's lin alg:
Physical textbooks would make a nice collection but sometimes it’s cool to just have exercises and definitions side by side
probably the only reason for me
i usually use my notes as the go-to reference anyway so having a physical copy around isn't really necessary
and my notes are pretty much an abdridgement of the textbook
with solved questions
odd request, but are there any basic abstract algebra books that are written as if they were a high school calculus textbook?
something super standard like pearson
wdym, like just having a bunch of calculations?
maybe but not exactly
i'm thinking like stewart calculus
what is the stewart calculus of abstract algebra
very corporate feeling
clean but comprehensive summary
maybe dummit and foote
thanks
Gallian comes very close
Oh also, Pinter's Abstract Algebra
These aren't exactly Stewart-esque but are introductory textbooks with a lot of chapter end exercises that range from routine computations to standard results

any opinions on shastri's "Elements of Differential Topology"?
libraries exist
ong
Invest in a kindle or buy second-hand
Did you like the Serge Lang Linear Algebra book? I had forgotten this but I worked through some of it a while ago and thought it was pretty clear/good
physical technical lit just straight up beats ebooks. for fiction you can use an ipad or e-reader.
tabs or split screens aren't the same as having multiple books open at once to cross reference
a mind for numbers
why not?
Does anyone know a book where I can find a proof that the Hurwitz integers are a maximal order in the quaternions?
Yep, found it to be a lot easier to understand. A lot easier to digest for those who have basic knowledge of set notation. That being said tho, the topics covered seem to be rather basic as compared to other books- so I'm looking to move on to others as soon as I grasp the fundamentals
Cool, yeah I had completely forgotten that I had worked through part of the book. I looked at it again and now remember why I stopped with it. It isn't that much more advanced than an introductory book like Poole and I had already learned a lot about basic linear algebra from that. So I realized I wanted something a bit more advanced and that covered more.
for advanced maths pls refer me a book
what kind of book are you looking for
hey guys im lookig for a book on analytical geometry of 3d space. i have no idea what kind of books there are so any rec will be helpful.
I need a decent source for undergraduate students for discrete mathematics
@swift dome are these math majors?
yea
So, one of my former calc students is mathematically pretty curious, focuses on applications of math but wanted to learn math on math's terms
He was a nuclear engineering major so I knew he'd take calc and linear algebra anyway. I was trying to find something in discrete math that was kinda... Simultaneously an intro to proofs, algebra, discrete math with some cool applications like error correcting codes and cryptography
The closest thing I could find was "Mathematics: A Discrete Introduction" by Scheinerman
I appreciate the suggestion Daminark ty
Rosen is the most standard book, and Matousek-Nesetril is more sophisticated
Oho Jiri Matousek?
That's nice, to see someone who wrote a fairly intro (and nice) book to LP
Yeah, "Invitation to Discrete Mathematics"
concrete mathematics

I prefer the older edition called "Cement Mathematics"

What is that
hmmm
aluff is like a book about algebra
and it has chapters, and subchapters.
and i made a list how how good each of the subchapters are
Damn u read a lot of this book
yeah. i think that is the book I spent the most time of on any book
it was the first algebra book I got also, and I got it in HS when I didn't even know what a vector space was, so I had to re-read some of the stuff cuz i didn't understand it
For a book on this level
Hopefully you didn’t get it as a companion to your highschool algebra class

hmmm. in my country it is actually standard to talk about spectral sequences and derived categories in HS algebra
its funny tho, there actually a reasonable number of people who do this.
some times I go to a university book store
and there is like a single copy of a book called like "basic algebra" or something
and its like a research monograph about topoi or something
and its a book thats been given there
@dapper root whats the book you spent the most time on of any book?
Man that sounds hardcore
I want to learn algebraic geometry and also more commutative algebra.
may i ask what country ?
hmm. its called obungabingbong in my language, I don't know the english word sorry..
im algerian nice to meet you
good book for alg K-theory?
A good book for abstract algebra?
Recommend both beginer books and books with more contents please
Beginner books: A Book of Abstract Algebra by Pinter and Abstract Algebra: Theory and Applications by Thomas Judson
Books with more content: Dummit and Foote, Jacobson, and Lang
Fraleigh is decent as well
Abstract Algebra: An Introduction by Hungerford and Contemporary Abstract Algebra by Gallian,
for more depth you could probably stick with Hungerford and read Algebra
Does anyone know any good math books that goes in depth on the maths of quantum mechanics?
And any good advanced abstract algebra?
Hm is this Jacobson's Basic Algebra I lol
I bought it around two months ago
Tho I knew what I was getting myself into
Leon Takhtajan
Any books about Mathematics related to Computer Science? Specifically about how it can also relate to Information security?
information theory
No. But it could've been.
One book like this that I bought was the book
i see
DO you think jacobson is a good book?
thank you!!
what books would help me reach imo level
hello could someone please recommend me some books about alegbra i am in highschool so something beginner friendly
dont learn it till you need it tho
Aluffi based
Haven't read it
Yeah it is good
part 2 covers some nice topics that arent found in a lot of similar books
is universal algebra useful?
like Birkhoff theorem stuff?
oh im pulling up jacobson toc rn
yeah this looks like fairly standard stuff
inverse limits, free groups
Is "The Art of Problem Solving, Vol. 1: The Basics" by Rusczyk, a beginner-friendly book for maths problem solving?
yes.
Many of the aops books are pretty beginner friendly
any good introductory analytic number theory books?
This quantum theory for mathematicians book by Brian Hall is really hard but… quite motivating. There are some abstractions of concepts that go a little over my head but I’m still able to wrestle with it and I’m 3 chapters in. I’m still going to finish Griffiths QM book but this will make it an easier read.
I don't have a lot a memories about it, but afair it was really good
Do you have recommendations for other texts that may gloss over the concepts in better detail that certain chapters don’t cover very well?
B.C.Hall's book is pretty detailed if I remember correctly
Maybe you should check for the pre-requirements books
Is the language Sesotho?
a book on intuitionistic logic?
it's cheap if you get it from dover if nothing else
you could read shankar qm over griffiths
I mean aren't they around the same level of exposition? I like griffiths so far. I am going through Hall for different reasons other than just learning QM
shankar does more bra-ket and uses linear algebra more frequently. griffiths uses the schrodinger wave equation more
which one more uses more math and less physicy stuff?
in QM u can have unsetly many vectors?
Well if I find myself struggling too much with Hall or Griffiths, which... for now I'm doing alright... so I'll wait on reading shankar.
I'm trying to find some open problems in real or complex analysis to work on over the summer. Does anyone have any recommendations for resources I can use to find such problems?
they're both physics books for physics students
just shankar uses more linear algebra formalism and many people prefer this treatment over griffiths
power of five is a fun read, ending kinda smells a little but it’s a great read overall
is this like a maths book recommendation 
"Use this channel to ask for book recommendations. Tends to be mostly math but feel free to ask about other literature (YMMV)."
oh ok lol
Recommended book(s) for analysis?
What’s your background @coral prawn
mostly doing calculus and linear algebra rn
book name-Glass Castle is a pretty good one
You can try tao's analysis 1
Tarrence tao had an analysis book? Pog
yeah I heard they're good
You can also try Bartle and Sherbet, Pons, Abbott
Browder mathematical analysis, an introduction
This book is pretty hard-core, right?
if I remember right it covers a ton of material in very short order, does it gloss over the stuff or is it actually okay to follow?
Cool thanks.
proof-less calculus or proof-based calculus (analysis) ?
usually ppl go through the former before they get to latter
if you're doing proof-based then I second Tao's Analysis I & II. He's very chatty and informative so you can learn from his intuition. However, be sure to prove every theorem before reading the proofs (as much as you can, of course). And check errata on his blog
https://terrytao.wordpress.com/books/analysis-i/
you could also try spivak’s calculus if you want something slightly easier (though still difficult compared to normal calculus texts)
Tao the Chad as always
What is a book recommendation that can help me understand calculus better
Stewart calculus and you can see khan academy tutorials too.
Since you said understand it ‘better’ I’m going to assume you’ve already seen some derivatives and integrals. I’m currently going through Apostol Calculus as a second course in Calculus and a gentle Analysis course.
Oh ok thank you for your help
I would say probably an analysis book popular choices are: Abbot Understanding Analysis, Schroeder Mathematical Analysis, Browder Mathematical Analysis, Tao Analysis 1&2, and Bartle Introduction to Real Analysis
Wrong chat?
woah sorry
you forgot the goat

I don’t think I’ve heard about this one. Will check it out
Hello, I'm looking for a book/course/ video recommendation for my first course in linear algebra.
I am looking for an engineering oriented book/course
If engineering I think the book by Strang
Ok thanks
Differential Equations and Linear Algebra by Goode and Annin has a complete treatment of linear algebra, plus ordinary differential equations (no boundary-value problems or PDE coverage).
I thought it was by Goode and Amin for a second
And was gonna be like yo this is actually the perfect book
Oh this sounds nice, I'll try this one
nobody is reading 900 pages for linalg
only 312 pages are dedicated to linear algebra
can't really count the appendices either
in any case the linear algebra chapters stand completely on their own; you don't even need to read any of the differential equations chapters
bit of a book hoarder but which real analysis books/problem books have qs harder than rudin
and where can you find assignment type qs in general
i mean that's still not really "only", that's longer than a lot of full length math textbooks
amann and escher's analysis books are difficult and abstract
covers much more content than rudin too
A fellow book hoarder? I have more than 10 anal books in my totally legal collection lmao 
only 10? rookie numbers
iirc amann is the three part series that is a rough ug course, and eschler got no topology
Lmao how many (real) anal books do you have
i'm pretty sure amann escher covers some topology
Yeah in book II I think
amann escher has topology integrated within the analysis
What do you consider "real analysis" ?
analysis of data structure
Serious question. In what year is Amann and Escher is used?
My impression is that its the standard to cover the topics of the first book + beginning of the second book in the first semester over real/(complex) numbers.
In the coming second semester we introduce metric/normed spaces, revisit some topics from analysis 1 on these spaces and cover some new stuff.
So the contents are used in the first couple analysis courses (atleast my university has a mandatory analysis 1-3 progression) (probably less in depth and not defining e.g. sequences on metric spaces from the beginning) and I have seen the books in the recommended list of some analysis 1/2 courses online (many examples where they are not referenced too, e.g. my analysis 1 course).
Im just a first semester student btw, so maybe someone with more experience can chime in.
Also piggybacking on your question: Does anyone have a (german) analysis 1/2 lecture script from one of the authors or some other professor that based their course mostly on amann escher? I could not find any online.
Yeah the mandatory analysis 1-3 progression is standard here afaik
Amann Escher aims to provide for exactly that, first, second and third semester
but of course covering things as in depth as in there is not really possible
Did you read the books simultaneously to the lectures?
I started reading the first one now and it takes time working through it so im wondering how I should handle it when classes start again.
i didn't have a lot of system behind it
Safest bet in the world I gather. Are you German? If so, can I DM you?
I read stuff and did exercises whenever i found the time
can anyone recommend me a linear algebra book for CS students?
I was recommended Friedberg Insel Spence's linear algebra book but I think it might contain too many unnecessary contents for a CS/engineering student
coding the matrix also exists
You guys know where I can find some PDFs on mental math tricks there was this book by a guy named arthur Benjamin I was thinking about buying but I want to dip my toes in before I buy a book like that
idk about pdfs but that book was like
formative for me as a kid
I have an old copy in softcover but I'll let you know if I find a pdf
Art and Craft of Problem Solving
Thx mates 👍
the book I have is "secrets of mental math" by benjamin I'm pretty sure
thank you!
I thought you were all going to recommend Gilbert Strang's Introduction to linear algebra
Is learning proof based linear algebra really unnecessary ? I find that hard to believe, and i think the problem solving skills and mathematical thinking you'll build from doing friedberg is ultimately a investment worth considering.
I dont know actually
thank you, I will try reading Friedberg's book
If you wanna see something proof-based written by a professor that's math cap CS
(Though perhaps not in final form)
graduate level statistical theory books?
Ohh, that's the graph isomorphism guy. I read his paper in my 2nd year internship
Yeah I first learned linear algebra from this guy
The notes are not quite in the same order in which he did things, he intertwined material of the first two parts more, and obv some stuff was based on peculiarities of our class (our first two days were taught by someone else whose approach to the material was different)
But yeah in a way the spirit is similar
The books looks pretty good, will give it a try when I get free time
Thank you!
The order of the book seems pretty different from other linear algebra books
any axiomatic books for geometry?
The foundations of geometry by David Hilbert
i hope you mean that as a joke
in any case it doesn't belong in this channel
(I hope you were not calling them childish or worse)
@boreal quiver
What's the opinion on Lay,Lay,McDonald Linear Algebra
it's a pretty standard first course in linear algebra book
Does anyone have a quick primer on Frechet differentiability and stuff related to Gateaux differentiability and similarly related topics on nvs
actually, here's just the list of topics I missed while sick for this lecture:
More on differentiation: Fréchet differentiability, derivative as a continuous linear map.
Why a linear map from a finite dimensional normed vector space is always continuous.
More on Fréchet differentiability: why it implies Gâteaux differentiability and continuity, how a directional derivative is computed from the Fréchet derivative.
Equivalent formulations of continuity of linear maps between arbitrary normed vector spaces, characterization in terms of "boundedness on bounded sets", definition of operator norm.
no official textbook for the class so I'm just trying to find the topics online rn
The options im aware of are :
Henri cartan "differential calculus" (most comprehensive book on the subject)
Coleman Rodney "Calculus on Normed Vector Spaces " (clean writing and comes with exercises unlike cartan)
Cartan's book has exercises as well.
"Topics in Functional Analysis" by Teschl goes into these around the end, the keyword to look for is "nonlinear analysis". There's also a book by Kesavan called "Topics in Nonlinear Analysis", but I've never read it.
If you are interested in this kind of stuff, I'd recommend Bogachev "Differentiable measures"
Thanks for the recommendations, I'll try to take a look at them when I'm less sleep deprived
maybe one day with more math under my belt 
I'm not aware of Cartan discussing directional derivatives. But Rodney's book does.
Anything more modern?
And more comprehensive
Any books for set theoretical combinatorics? Not infinitary combinatorics but how you can describe combinatorial principles by using set theory.
What is the title of the course?
any good introductions for projective geometry?
Introduction to Projective Geometry, C. R. Wylie, Jr.
Hello, I’m studying the article of Burghelea « Cyclic homology of the group rings » and in the section I he speaks about cyclic sets associated to simplicial sets. I don’t understand the intuition behind this definition. Does someone has a good reference about cyclic sets with examples please ? Thank you 🙏.
Does anyone know of a resource that relates Stokes' theorem to maxwells equations in an intuitive way?
if anyone could direct me to a text covering Markov chains and states ill be forever grateful
Are you looking for an introduction or something advanced?
Many Markov Chain-focussed books I know essentially like to get advanced
probably intro,but dump anything on me
Should be good for intro:
https://www.statslab.cam.ac.uk/~james/Markov/
Should be good for more excitement:
https://pages.uoregon.edu/dlevin/MARKOV/
tysm!
Another one for excitement is Meyn Tweedie
Who is your pfp by the way?
Does anyone know of a resource that relates Stokes' theorem to maxwells equations in an intuitive way? I need to relate Stokes' theorem to maxwells equations for a project and I can mathematically show the relation but I'm not quite sure how to relate it intuitively as I haven't taken physics 2 yet any help would be appreciated
Shinji from eva 😄
Oh nice 🙂 Didn't recognize him in that outfit
Here's a couple videos you can watch that might be helpful in your pursuits.
https://www.youtube.com/watch?v=rB83DpBJQsE
https://www.youtube.com/watch?v=9iaYNaENVH4
Visualizing two core operations in calculus. (Small error correction below)
Help fund future projects: https://www.patreon.com/3blue1brown
An equally valuable form of support is to simply share some of the videos.
Special thanks to these supporters: http://3b1b.co/divcurl-thanks
My work on this topic at Khan Academy: https://www.khanacademy.o...
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/multivariable-calculus/greens-theorem-and-stokes-theorem/stokes-theorem/v/stokes-theorem-intuition
Conceptual understanding of why the curl of a vector field along a surface would relate to the line integral around the ...
@wicked lagoon thank you so much I am reviewing these now
I hope they help 👍
Any book recommendations for trigonometry and calculus?
Calculus by L V Tarasov
The Humongous Book of Calculus Problems is one of my childhood favs
Hello everyone, I am Chinese, I have a bachelor's degree in mathematics, I do not know much about the English world, do you have any recommended math blog or mathematician
do you have any area that you are particularly interested in reading about
Any field is fine, because I don't know any English math blogs yet
Terence Tao's blog is pretty renowned.
Is this channel also for making groups for reading books?
I mean there already exist several reading groups around anyway
I can't read his article at all, but his best function is to remind me of my ignorance hahaha
Any one who studied this Math Book for college algebra. I am going to take Course and i dont know if this is right book or not . Or which book is recommended for student
Stitz, C. & Zeager, J. (2011). Precalculus. Lakeland/Lorain, OH: Lakeland & Lorain Community Colleges.```
Are there any books that start from very elementary proofs and build up from there? I want a book to learn proofs from. I want to learn how to prove elementary things and build up to more complicated and nuanced proofs.
Does anyone have the 2022 edexcel pure for revision
book of proof by richard hammack
free pdf and hardcover is cheap, overall good and gentle book to start intro proofs
Hello, are there any pre-reqs to reading the book? I am also quite curious about proofs. Will high school math be enough?
it has 0 prereqs
in fact if you give it to a motivated middle school student i wouldnt be suprised if they could do a good chunk of the book
I have heard about Kowalski and Iwaniec, but not sure what's the level of that book @alpine rover
seems fairly advanced
@sage python you should consider taking a look at meckes' Linear Algebra. it introduces the determinant as the unique alternating multilinear function that maps the identity matrix to 1. it's written as a first course in linear algebra.
Looks interesting, though mildly fucky organization
Some people might disagree with this but I recommend this book: http://logic.stanford.edu/intrologic/public/chapters.php , Chapters 1-8, and maybe even 9 and 10.
want to get a homalg book for self study and reference. rotman looks good, but i hear weibel is more advanced (albeit riddled with errors?)
can anyone chime in whether that's still the case?
it seems like rotman doesn't mention derived and triangulated categories either
It’s far too, like, elementary for that
It depends on what you want tbh, if you want to do AT stuff, rotman should be sufficient
If you really want to know about derived stuff well… it doesn’t suffice
Ah, thank you very much for the info! I shall read it once my exams are over
i think im going to go for weibel to have access to the category side. i do like how rotman writes however, and weibel does look a bit terse
Is visual complex analysis (by tristan needham) a good book to learn pure math from? (like does it have all the theorems and proofs and lemmas) like for example alfhors is such a book, it's rigorous, but I'd imagine not as pedagogical as VCA
Hi neam 
Hello grass 👋
from what i've heard, although it claims to be a complete text, it's still a bit too handwavy. that isn't strictly a bad thing, provided you're able to formalize the handwaved parts yourself, but that's easier said than done. you can try looking at gamelin or bak and newman. brown and churchill has a more applied slant.
How to prove it by Velleman
so then a VCA + alfhors combo would be good?
vca for explanations and alfhors for rigor and exercises
i read it as gremlin
You guys are totally going to recommend the Princeton lecture series if I ask about a good in between text that talks about the math and physics behind the relevance of Fourier transforms I bet
I might just give that a go, never really read it yet but I figured I wouldn’t need to work through it since I’m not a mathematician or trying to become one
Stein Shakarchi I believe it is right?
Unless there is an easier book to read with less irrelevant rigor >.> but I do work through hard books
Motivation; better intuition for the wave function
Been bumping into Fourier transform a ton in Brian Hall’s quantum theory book so that’s why I’m asking
cartoon guide to calculus
its pretty small so its not intimidating
but its a good intro to calculus
Is there a canonical book on nonlinear optimisation? Something a bit more modern than Nocedal Wright
The Calculus Lifesaver by Banner is a pretty solid overview/intro.
bak and newman has answers to most of the exercises in the back of their book btw
gamelin has some answers in the back of the book
i see okay thanks!
decided to check out bak newman, seems really good imo though I've read a small part of it
it starts with polynomials and power series
like marshall iirc
it definitely seems to motivate the theory better tbh
how are the exercises?
Is there a textbook that I can learn logarithm with practice and formulas?
just checked the exercises of chapter 2, they seem good
mix of "computation" and proof
noicee
an entire books just for logarithms?
and algebra may be?
this may or may not be what you're looking for, but i think it's still a good resource for these sorts of things: try one of the art of problem solving books (whichever one does logarithms, idk which one)
Like how chemists do with DOI articles
Get the PDF then printout the pages
Getting a printer that prints like a book is near impossible to my knowledge
Is there any resource that gives a summary (even if it's handwavy) or motivation of abstract pure maths topics
Just something to help me make sense of stuff that is really abstract
Oh perfect, that's exactly what I'm looking for
Does anyone have any combinatorics book recommendations for a beginner?
Btw, didn't we use to have a #resources channel?
Oh, wait? 
Why is it hidden?
it's not a free math book so much as it's all the notes compiled into a pdf
a walk through combinatorics by miklos bona
So are there other texts for learning Fourier transforms other than Stein Shakarchi that are worth reading that are more application/physics focused and not too pure math?
maybe this?
tolstov fourier series could work too
@remote sparrow this one? https://www.amazon.com/Fourier-Dover-Mathematics-Georgi-Tolstov-ebook/dp/B008TVG4ES
yeah
how tf are you alive
Hi, i'm looking for a book on the representation theory of the general linear lie algebras gl_2{C}, but I'm having a hard time finding relevant reading material, does anyone have any recommendations?
I like Korner's book on Fourier Analysis
It's pretty math-y, just not typically like S.S., Brown, or Silverman's
SS?
Getting bodied a little by Hall’s quantum theory book but I’m able to look up stuff on Quora and Reddit that helps clarify anything confusing
Oh right stein Shakarchi…
korner has his fourier analysis book plus a separate companion exercises book
Yea
I think I bumped into Korner’s texts as a recommendation yesterday from Quora
I think he says in the preface that his book is designed for those who have had a course in functional analysis?
Quantum field theory (QFT) is one of the great achievements of physics, of profound interest to mathematicians. Most pedagogical texts on QFT are geared toward budding professional physicists, however, whereas mathematical accounts are abstract and difficult to relate to the physics. This book br...
this is inspired by hall's book, but meant for undergraduates apparently
"Most of the text will be accessible to graduate students in mathematics
who have had a first course in real analysis, covering the basics of L2 spaces
and Hilbert spaces"
The book is not foreign to me in terms of its exposition, just a bit terse and gets really carried away with the math rather than the theory
I am surviving working through the book. It’s not the hardest book I’ve tried to work through by far
spent a little bit of time in functional analysis land with kreyszig’s book so I was able to sift through the important bits, even if I get lost a bit in the proofs and the exposition
Korner's book is a pleasure to read
It doesn't shy away from technical details, but it also gets into some interesting applications
Like age of the earth
believe it or not Hall is the easy book for quantum mech
compared to, say, Leon A. Takhtajan
It really is one of the easier books I’ve found tbh you are correct
Hall at least assumes you're new to everything
I’m on chapter 6
ive tried to read through all of them, but they always lead me (someone more math minded than, say, a physicist) to question why something is true (eg. why is the Hamiltonian of this form etc); the position operator is obvious, but the others are not
@finite crane
The philosophy of quantum mechanics is learned from its history, not textbooks
as for why things are done in certain ways you have to follow the history
ty
that might actually be covered in Takhtajan in the section on quantization (if I'm remembering the textbooks right)
at least if you're ok assuming classical mechanics and want to go from classical observables to quantum operators like the Hamiltonian
there is also Teschl Mathematical Methods in Quantum Mechanics which I thought was easier to read than the other books, though it is more focused on spectral theory
possibly also Zworski semiclassical analysis
recommended beginner abstract algebra books?
for group theory
currently using Artin's Algebnra
Basic abstract algebra by Bhatcharya etc
Ty
Does anyone want to team up with me on Hall’s quantum theory? Would be cool to talk about some ideas presented here
You guys ever heard of this book? https://books.google.com/books/about/Quantum_Mechanics.html?id=oaO6AQAAQBAJ&printsec=frontcover&source=kp_read_button&hl=en&newbks=1&newbks_redir=0&gboemv=1#v=onepage&q&f=false
Leonard Susskind
Is he kinda suss?
Susskind has serious work and is a respectable professor, but he writes some stuff aimed at the general public/non-specialists
Which is of course not bad
Just that he does write stuff for that audiences, and you might want to check out the target audience before getting a copy
@karmic thorn you recommend his playlists on YouTube?
I only watched a bit of his theoretical minimum series and I'm not in a spot to vouch for them or say anything against them
That said they have a complementing book series
You can see if you find either interesting
i think they'd be a very nice complement to a course you're taking or a book you're going through
judson or pinter
hello.
i have worked a lot around combinatorics for an olympiad i participated. i think i'm relatively advanced in combinatorics, but i'm not sure how much i actually know.
is there any book that goes over the topics of combinatorics concisely? note that i'm not familiar with the english phrases about combinatorics so i can't just look at the topics and i need a little explanation.
Bona walkthrough combinatorics or guichard combinatorics
Bona is hard but very good.
Apparently it’s notorious because nobody solved all the exercises in the book? What’s with that 😂
Those are probably some of the hardest math problems I’ve ever attempted. Combo is brutal
I think going through Bona and Resnick’s probability path is a nice combination read
Does anyone have a copy of the book 'A First Course in Module Theory' by Keating? Or at least Chapters 7, 8 and 12?
it definitely exists in a well-known place online
Could anyone recommend a textbook on dimensional analysis? I'm getting confused by the definitions and our instructor did not provide a textbook.
Dimensional analysis as in the trick where you deduce dimensions of a thing?
Delerik
basically that's all what dimensional stuff boils down to
thanks a lot.
Any good books for number theory ?
An introduction to number theory by Graham Everest and Thomas Ward is AWESOME
Thnx
Dudley or burton are good
This is statistics thing I think
Suggest me a good book for class 11 advance math problems
any book recommendations for abstract algebra?
book recommendations for euclidean geometry with good problems banks? i'm looking for a book for competitive exams to cover 2d and euclidean geometry
for elementary, manin or ireland-rosen if you know some algebra
Manan 
needed a bit of advice: i have a problem, i have tons of books I open them all at once on chrome and keep jumping from one to other and end up doing no question in the end
with 3 hrs wasted
how do I stop this temptation(due to curiosity and passion) to open all books at once and stick to solving one first has been happening for long time and is affecting performance
Get a hard copy book?
Remind yourself consciously to stick to one source at a time, write down any problems/things you didn't understand and keep reading ahead. Once you're done with a reasonable goal of covering a section/some exercises, feel free to think more about what didn't make sense or look up other sources.
I even encourage not using Google search or similar in the middle because that in itself becomes a tempting rabbit hole, save it all for later.
opinions on pederson's "analysis now"?
If you can go to the library, physical books may help with this 
so setting pre determined goal helps?
i cannot be in library all the time
Somewhat, yeah
As long as they are realistic
I'm not sure this is how everyone learns things, but it's worth giving a go
you can check out books though
as in borrow them
like, to take home temporarily
Looking for a book on single variable calculus which is concise and efficient. Something on the thinner side I'd say.
emphasis on proofs or computation
or mix
computation I'd say
mix? is that a thing?
okay I am interested in this mix category if there exists any cuz I don't know of any
only covers calc 1-2
but it should work fine
I think I should explain my situation a bit lol
great book but very topological and also terse
which may be a positive or negative depending on your background idk
So I am learning analysis rn without a good calc background and so far I have progressed upto sequences and series. But before I do differentiation, I wanna get a concrete feel for it (a sort of less rigorous look).
same for integrals as well
hmm interesting
thomas calculus is great
he can skip to main chapter
thats what i did very crystal clear book
what (analysis) background would you say is sufficient for this (perhaps in terms of folland chapters/sections if possible)
also, could you like motivate me to study this? as in like what applications or uses would learning functional analysis have?
if u need the motivation to study how are you gonna compete with those who study no matter how they feel?
huh..? i don't really know what you're getting at but i'd much prefer studying with a purpose compared to blindly learning something that might not be that useful in the future
it was a joke
that's funny i guess..
it's hard to pinpoint some exact prereqs because funnily enough the book is essentially self contained (except linear algebra and baby rudin level analysis), as it does topology on section 1 and the rest builds upon that, but you do need a lot of mathematical maturity
as for applications, functional analysis is essentially the backbone of almost every applied analysis: think pdes, optimization, numerical analysis, probability etc
ooh yeah that does sound very appealing
maybe i'll work through like chapters 1-2 of folland at least
then maybe start looking at it more seriously
so I think you should at least do up to L^p spaces in folland, preferably the topology too
especially since folland chapter 4 and pederson chapter 1 coincide
yeah
so all of chapters 1-6?
lemme see
yeah
again you don't need all that and there will be overlap with pedersen but it is safe to say seeing these concepts twice from two different books is better than seeing them once
unless you are a genius that understands every key functional analytic result instantly
haha yeah no
sounds good
i'll just continue with folland until i get more comfortable
with analysis
topology is nasty
sounds good
i'm kinda split on topology
i couldnt solve any question on my first quiz of 10 marks
on one hand it's so useful and ubiquitous in analysis that you can't not see it but then it's also quite boring to study on its own
absolutely flabbergasted
rip..
Books on problem solving mathematical and general
Also books like mathematical circles russian experience
what exactly ur purpose is ? exact goal
@sturdy shore how's it going with knapp?
theres ton of books for problem solving
do this OG book i used this for my olympiads legendary book
Thanks
the algebra knapp? haven't really advanced any further the past week, but since we began rings in my algebra course ig I'll be reading further pretty soon
I see, how has it been so far including the linear algebra sections? As in would you recommend it
personally yes

i guess zorich
Weighing in at about 1300 pages, the present work is three times as long as Apostol and four times as long as Rudin. The extra length comes not from more topics or more depth, but because Zorich writes everything out in detail and because includes a large number of worked examples. It does cover some topics in greater-than-usual detail and does cover a few newer topics that are not in the classic works.
Damn 1300 pages
it's two volumes. volume 1 roughly corresponds to the first semester of analysis, while volume 2 has second semester stuff and a complete treatment of multivariable analysis.
Yep just read the maa review 
I don't like that it teaches what matrices are before linear transformations
calculus for dummies
does one need to read grimmett and stirzaker before a measure-theoretic probability book? assume the reader has only encountered basic calculus-based probability, but has measure theory background. also, does anyone have thoughts on schervish or shao's measure-theoretic statistics books?
probably not
unless ur like going into one that assumes probability already
but you can easily find books that introduce measure theoretic probability without assuming that you know everything in probability without measure theory already
ofc there are books that include everything for completeness but implicitly assume that you should be familiar with the results
something like jacod and protter's book is good
Most intro books include a quick review of measure theory anyway
yeah, you could find any measure theoretic probability book and just try and read it while skipping the measure theory chapters
and see if you can understand
I remember not liking that probability book by the way
Schervish is a little above my level but I have a good impression of it.
what's wrong with it? just curious lol, i thought it looked pretty good
is the companion exercises book interesting at least? problem books are cool
assuming ur talking about grimmett stirzaker
I'm trying to remember. I think the thing I didn't like about it was that it sort of claims to be rigorous but some of the presentation was not in the right order or something, I forgot
I think the problem book is probably fine. But you can learn about probability from a practical perspective in a better way I think
Like, a book that has a better narrative, they all have exercises.
The Grimmett book might work for you since you are way more mathematically sophisticated than I was when I was learning non-measure theoretic probability
Oh cool, I haven't heard of that one
The Shao mathematical statistics book is used in some graduate programs, it's super detailed, I think I have looked up some things in it before
i wasn't talking about myself when i said the reader had measure theoretic background
Well I meant in general 🙂 You seem to be pretty into math and well-read, you know about so many books and things
I was recommended a probability book you might want to look at, after I'd already learned it at that level, let me get the reference
volumes i and ii apparently give a non-measure-theoretic graduate treatment of statistics
It's not mentioned there but I think the edition of the Papoulis book I saw was the 1991 edition.
(Probably any edition is fine.)
This is a very nitty-gritty book. It has some results that aren't in other books of that level.
wasn't there a book that introduces probability from a functional analysis perspective?
i remember seeing it somewhere and thinking it was interesting
can't remember the author or what it was called though
bobrowski?
ohh yeah that's it
The website for the book is pinned in #probability-statistics
wrong message
i meant the blitzstein book
^
I don't see a big issue with that like one can think of matrices as a particular arrangement of numbers which although naive serves the purpose
Plus most of us would probably have seen matrices beforehand in hs already. Or do you have some issue with that in particular?
If you are in grade 5 and you must be in Philippines, I would recommend to buy any math books like Soaring 21st century Mathematics grade 5.
😂
I'm probably just weird.
umm... like I am curious as to why would you have that issue. Even Artin does that
I take it all back
I read all that and I think it's a bit of gate keeping for people who aren't that much into abstraction
I take it back because I forgot that there's something useful about matrices that doesn't fit into the linear transformations perspective so easily: the whole Gaussian elimination thing.
Like you can always treat some things as blackbox and let it be like that. I don't know shit about the kernel that I'm using
All I know it that the newer version would be better
That's true too!
oh yeah, that too
I'm not trying to be gatekeepy, I just like when people take the time to present stuff to me in a good sensible order so I try to keep that preference myself
I also read your explanation but I see it the opposite way just learning about matrices is like learning about how to drive a car but you don't know how the car works all you know is that you can crank it up and drive places. Learning about linear transformations is like learning why a car drives how does it move what makes the car run
But it does make sense to present matrices before linear transformations since you can use them to solve systems of equations
I actually agree with your point.
I think matrices are useful because of Gaussian elimination and other tricks
I'm probably too focused on "one best way to do things" whereas in reality there probably isn't one ideal way
They are a useful structure to represent linear operators because of those tricks
So this is a consequence
yeah sticking to one-fits-all is bad in general
What is a consequence of what?
I apologize
That matrices are a good structure to represent linear operators
But my point is that just looking at a system of equations doesn't necessarily have anything to do with operators.
Don't apologise it's interesting to know how people think, I think it was a fruitful discussion
Like, you might just want to find how three planes intersect
Okay 🙂 It certainly is for me
Well I think linear operators are useful in general because they can be encoded as matrices
And matrix ops are very optimized
Well that's true too 🙂
matrices have the advantage of being based on a very simple concept: systems of linear equations. also, matrix operations are a priori computable, while linear transformations are not before you learn about how every linear transformation can be represented by a matrix. however, matrix operations, especially multiplication, are admittedly unintuitive before understanding that it represents a composition of linear transformations. a crude, probably inaccurate analogy would be that matrices are to assembly code (or some other low-level programming language of choice) what the concept of linear transformations is to python (or some other high-level programming language of choice).
I think matrix multiplication became a thing because of elementary row operations
Like you can think of matrix multiplication as "how do I encode elementary row operations in a matrix"
Well it's no longer elementary
Why does that sound like lisp xd(ops represented as a data structure)
that sounds like a historical question. was the definition of matrix multiplication originally conceived as a compact way to denote systems of linear equations, or was it defined specifically to make it work out to be a composition of linear transformations?




