#book-recommendations
1 messages ¡ Page 248 of 1
sus
I've already worked with permutation tests, I want to improve my ability in probability and statistics, I just want to have a source with a lot of exercises of different difficulties, I know I could do all the exercises in Casella & Berger but I haven't studied any pure maths, so this is not gonna work for me
You are assuming wrong
btw, thanks for the help @hearty steppe
Yes, and I want to solve that by doing a lot of exercises
idk if this kinda stuff exists but are there any short pdfs/lectures for getting your head around the fourier analysis
i dont really want to read a whole book and idk what to look for given that this feels kinda specific
non-rigorous is fine
đŚ
is it really that hard to form intuition
I just need to do it like right lmao
The point of that comment was more, more intuition is always better
oh yay
/The Fourier transform is a deep object
if I wanted a light intro where do I get started
Rather than like "your understanding will be deficient to do the things you want"
Uh, people like Stein's Fourier Analysis, I haven't used it myself
S&S is of course a lengthy book
~~so basically just watch 3B1B and pretend I know it? ~~
3B1B is far from enough intuition
i know im memeing
@gray gazelle you mentioned your probability base is not where you want it to be, maybe check out the book by Ross on probability? It may be a little easy but if it isnât then it should provide a wealth of problems
As for stats I must disagree with cat man. I am of the mind that intuition for stats is largely gained by getting data and doing stats, in this way I think applied books are great for getting more intuition about statistics (think any book that mentions âwith Râ)
As for math stats (if thatâs what youâre interested in) Wasserman is a good alternative to Casella Berger thatâs imo more entertaining and more modern, though also less thorough.
Wow, thanks a lot
Yeah, my thinking is also like your thinking and I'll search any book that has that
Bump
Maybe finite group theory by Isaac? Idk there are a lot of directions you could go and it depends what you want to learn
It depends if you want to stay in pure group theory or not I guess. You could learn something like geometric group theory which has a lot of cool groups
Representation theory is a common next step too I guess, but maybe you want to learn some ring/field theory first before that
@primal summit
I mostly meant pure group theory
Since that's a subject that doesn't really have a dedicated course beyond a first course in my uni
Then yeah, I think finite group theory by Isaac is a nice book
Alright i'll check it out, thanks
also his character theory book might be interesting
Hi does any have any book recommendations that would be understandable to someone planning to do maths at uni and might look good on an application
No
do you usually list the books you read on your application?
Lol
No you don't
Unless you're in the UK then you mention one you read in an essay for some weird reason
sometimes we have to do that in the US too
Calculus by Larsson
Ah thanks will have a read
Yeah if you talk about books you've read it supposedly shows you're interested in the subject
I didn't read it
You can get the highlights of S&S Fourier
Just by the chapters 1,2,3,4 and the fourier transform sections
you might be able to impress the admissions dude if you read baby rudin
I've heard of schools asking for this for grad admissions, sounds a bit pointless for undergrad tbh
you might be able to impress the admissions dude if you read Number Fields by Daniel A Marcus and the admissions dude was me
this depends a ton on your actual interests (don't study just to impress people, it gets stressing real quick) and what you already know. AMS's Student Mathematical Library has books on various topics that aren't usually seen in undergrad and are meant for math undergrads, they're pretty nice I think. Maybe you can find something interesting: https://bookstore.ams.org/STML
I've read S. Katok's p-adic Analysis Compared with Real from that collection and thought it was a nice read, complementing with Gouvea's p-adics book
Matrix Groups for Undergraduates seems real nice too from what I've skimmed through
and I've been meaning to read Y. Pesin's Lectures on Fractal Geometry and Dynamical Systems from that collection as well
Anyone have any book reccs for computational number theory?
Cohen's computational algebraic number theory is nice
Do floating point issues come up a lot in computational alg geo?
Nah, I've used it more as a reference when I needed something, but it has pretty nice exposition too
yea
I guess its written more to be a reference and collect everything but
also the author Henri Cohen is the creator of pari/gp
I cant imagine actually going thru this book systematically
I mean its not rlly longer than like, a normal textbook, and big chunks of code take up a lot of room too
Oh fair
@desert copper also maybe try spivak's calc on advanced manifolds
manifolds 
you were the one who recommended me lol
lmao
Are there any major prerequisites
linear algebra?
Chicken are eggcellent
Anyone have any articles about importance of foundational math? I see it as way of concretely justifying bigger constructions in math, but I really dont know what it is outside of that. Any resources would be appreciated.
@sweet lotus do you by any chance know a good resource on the theory of lattices and whatnot with the application of quantum logic in mind?
also ig a resource on quantum logic if you like one. My first foray into the subject was with Omnes
thanks!
Hey. I'm trying to find away to prove Fourier series and this has proven to be a difficult task. I've tried to find a decent proof from Stein Shakarchi's Fourier analysis an introduction and several other books, but the most I've been able to understand or find has been a "let's assume that f(x) = a_0 + sum of... is true and here are methods for solving the values a_+, a_n, b_n"
You are trying to prove the existence of Fourier series and want to find a reference?
Most sources, or the bits which I've been able to understand begin from assuming that this expression true. And then the terms a_0, a_n and b_n are solved from there. This however does not feel like a valid proof, the assumption that this statement is true to begin with is my issue.
So any books containing proofs of the existence fourier series would be helpful
Ok
The only bit of work that you need to do to show that this expression is true is to show that cos(nx) and sin(nx) form a basis for L^2([0,1])
You can probably find this on MSE
this is a hard thing to prove by the way
first of all, you need to figure out what you care about. uniform convergence? pointwise convergence? convergence in L^2?
also, are we allowing functions to be continuous / differentiable / smooth?
"why do fourier series converge" is a very complicated question
Yeah that's kinda what I've assumed from all the source I've found skipping at least parts of the proof
let me see if i can find a nice proof for the L^2 case (which is the easy one i think)
Here's a nice proof using the Poisson kernel (section 1.2): https://www.math.arizona.edu/~faris/methodsweb/fseries.pdf
there are lots of proofs, i'll try to find a less nasty one
I find it interesting the Poisson kernel is used cause I'd expect Dirichlet to be useful for that lol
I am a newbie at fourier analysis tho ofc rip
https://youtu.be/pTnEG_WGd2Q are the books he recommends good enough?
This video shows how anyone can start learning mathematics , and progress through the subject in a logical order. There really is no finishing point but this will get you through all of the basic undergraduate mathematics from start to "finish". I also included some graduate topics.
Here are the books that showed up in this video(in order) on ...
Hello, I just wanted to know if Evan Chen's book on Geometry is any better than the free one mentioned on his website
Guess I will just study the free chapter and compare it if I should
the trick is to not learn euclidean geometry
I canât say about the books before calc but they are fine
His calc, diff eq, linear algebra are pretty decent
The rest I wouldnât know about
I think just having a working mathematician rec means someone found some value in it. Mileage may vary for certain things and depending on your interests you don't need to have multiple texts on one topic. There's always library browsing if you're in doubt. A lot of books can be requested through interlibrary systems
the correct answer to this question is that there is no need to pick out more than one book at a time
and if you'd like to learn a subject
I've tried following this path once (this was what jumpstarted my journey into math tbh), but honestly learn what you are interested in and dw about your book not being the best or not (ofc it helps to look up reviews and compare it with other books) but don't overthink it. Like don't waste ur time thinking about how to learn when you can just start learning! Although learning how to learn is also pretty important too, and while I don't have a solid answer for math, from what I know many people like to say practice makes perfect especially for smth like math.
you can always ask for a recommendation here
pre-set paths are not good ways to learn mathematics outside of strict prerequisities
its a slow process and you don't need to plan this much ahead, honestly
But if I have the optimal learning platform, surely I'll learn 200% more
"learning math start to finish" is clickbait, of course
but also I do take an issue with the approach here actually
I don't like "intro to proofs" style books as being the place you start learning math
these books often fall into the trap of not having any interesting content, and just being a grab bag of language and techniques without context
my go to rec for new mathematicians is analysis 1 by tao, but there are lots of good options depending on what you're interested in learning
every other problem is like "oh 3 is an odd number and 2 is an even number so we got a contradiction woohoo"
plenty of people on this server started there, so it's very easy to get help too
Noted
Thanks guys
What are the prerequisites?
none, but if youve done computational calculus before, it will be more motivated
Pretty hard disagree. I really enjoyed learning some naive set theory and logical ideas before going into higher math
im with doubledual i hate intro to proofs stuff
well okay
maybe like
spending 1 or 2 weeks on it
could be beneficial
there are good ways to do this, i learned set theory first too. but if the book is "intro proofs" it usually doesn't get to anything interesting
my teacher was based enough to at least give us Raymond Smullyan content in my intro proofs class
unless you need to learn multivar in which case you're fucked
The IBL method?
IBL method refers to a specific course
The DN method??
actually
It was interesting for me just because it was the beginning of formalism, and it was interesting how you can formalize a lot of things
I don't think it really needs to be interesting by itself
i wonder if anyone here has access to the UChi ibl scripts
because they are really nice intros
you can google it they're out there
nice
not any of the hard ones but the knights knaves stuff
but i think it's only really good if you have access to a knowledgeable mentor
:pepecry:
but like, chatting with people on discord is good enough, so it's viable
there were some others too but i forgot đ
Smh no emoji
Seen this one on brilliant
what classifies as higher level math?
You guys were talking about getting started with it through [x] book, but can higher level math be anything as long as it's of sufficient difficulty?
Higher level math in this server normally refers to proof based mathematics
At the very least something you would not be able to see in high school
D-modules
Dââ modules
My favorite "intro to higher math" kind of books is this set of notes by Aluffi http://www.math.hawaii.edu/~pavel/Aluffi_notes.pdf
don't go through a 400-page "intro to proofs" book, please
I'm guessing there's no set guidelines then
higher level math seems boring
vastly different from competition math
is there a higher level math based off of synthetic geometry? I would like that
wut
To be fair, this is all based off of glancing at a couple of pictures
differential equations might be fun
i mean the way i see it, it's where fun is at
it might take a lot of work for it to be accessible though

the bad news is you can't solve competition math problems and publish papers about your solutions
any good number theory books?
What type of number theory? I recommend Ireland Rosen for elementary if you are familiar with algebra
Yeah elementary
holy
graduate level
any undergrad ones?
actually that topic might be graduate level
Oh dw a lot of textbooks are under the name graduate texts in mathematics
Itâs undergrad IMO
okok
I know some others that are recommended is wiel basic number theory
And hatchers topology of numbers
No itâs a bad book
oh really"?
Try Artin
Yeah df is like the driest book tbh
Artin explores a lot of application of the,topics and does a lot of linear algebra too(that you can skip if you are familiar with the stuff)
Df has a lot of stuff in it, but for a first year equivalent both have enough
That's a meme not a recommendation lolol
reading the preface and then the table of contents is just hilarious
Ok itâs a cft book lmaooo
i think what weil considers "basic" and "elementary" is different from what humans consider to be such
How tf does he expect no number theory thonkzoom
For him elementary facts about rationals must be like
Kronecker webber lmao
imagine learning how to add fractions then diving into this book
4th grade book
Y'all know that story about a high school ordering a batch of textbooks called Basic Algebra or something, only to realize Basic Algebra referred to abstract algebra
the higher you go in mathematics, the more textbook names try to make you feel stupid
in high school you get shit like
"honors AP calculus" and stuff
trying to make it sound super duper elite
even in early undergrad you see "advanced linear algebra" and whatnot
and then suddenly everything is introductory until you've been a grad student for 4 years
obligatory
Which book is that?
Oh
you really ought to go in with number theory though
like at LEAST ireland-rosen tier
Can someone give example of some good books on functional equations for beginners?
I literally have zero information about functional equations
I doubt if there are lots of books on the topic, but maybe you can find some notes on Evan Chen's website?
There was a "introduction to funtions" lecture note but I didn't understand anything from it 
Can someone direct me to a good book on Olympiad Geometry? Whenever I search it up I find Evan Chen EGMO only nothing else :(
And the Beautiful Journey through Olympiad Geometry doesn't cover a lot of stuff I think I am weak at
- EGMO is too expensive for me, it costs like 4000 Currency
where are you living in
India
It isn't

I haven't encountered any books which are more than 400 Currency here
- the books by Indian authors aren't good because they teach JEE level and JEE doesn't have Geometry at all
Albeit texts in geometry don't exist here for high school level
z library is easier
and its web looks better
pirating for knowledge is not sin
fax
Wow convenient đ

yeah egmo is the gold standard for oly books
yeah
Use libgen to get to zlib


yummy free knowledge
Ping?
Pingala
https://openstax.org/subjects/math what do you think about openstax's math books?
So friends, I never got a book recommendation for self-learning Calculus.
spivak's
try reading that
Bro, bro. . . Bro.
I am inquisitive and open to learning. . . But shouldn't I. . .Yknow, go through one book first THEN do Spivaks?
No?
Spivak is a introduction
Seriously?
Yes
Hmmm
Read the preface of it
If you don't know something from it's pre requisites then learn that and start with Spivak
That makes sense.
Buy Calculus, 4th edition on Amazon.com â FREE SHIPPING on qualified orders
Yes
I'd get a PDF but my eyes are really hurting lately so. . .ja lol.
Have a look at it on Google books
Thanks Shivansh, you're a gem.

A HOMEWORLD GEM!! AHAHAHAHAHAH
Heh
I am so relieved you got that. . .
sussy dhaka
wat?
based and mirzapilled , sussy dhaka
Tell me more about this mirzapill.
math
I see.
any neato books published in the last year?
For what purpose are you learning calc?
Omniscient Reader's Viewpoint
Urbanism.
You did not specify
true, hence why i specified now
Well, there are several reasons.
The first is the holistic goal : Understanding calculus will make me smarter and increase my IQ as if I mastered calc, I will understand the patterns of moving particles from the ground up.
The second is : I plan to start my own business and have several business goals, but the thing I want to make is something on par with google. Thing is, to MAKE google the founders had to have advanced mathematical and programming understanding.
The third : I plan to make games, and have a metric fuckton of ideas for games, but math is HUGE.
you don't really need calculus to be a bidness man
I understand that, but I'm not learning calc first THEN business.
if you're making game engines then maybe some calculus wouldnt be a bad idea
this too
What do you want to learn in the future?
Right now I'm taking the Wharton class track of business.
nobody wants to learn physics, dont be silly
Well, physics, linear algebra and possibly beyond.
Also, its very possible for a game company to rival google.
lol
Is it possible today? Nah, not with the economies of scale and how games tend to be fast moving.
With a metaverse, however? Definitely.
lol
you underestimate what google does
If your goal is to learn physics I donât think spivak is necessary
I underestimate nothing, my G.
except possibly your ego
Now, do I know EVERYTHING google does? HEEELL no.
Well MaxJ, that may be true. . .But, I'll worry about that in my 40s when I start having kids.
Why is this in #book-recommendations 
manan make me yellow
why not
ITS THE MODS, RUN!
and you shall get the answer
smoke bomb
Beyond my abilities 
anyway i suggest profilactic mute
What about linear algebra? Surely spivak can help with that?
spivak is not linear algebra tho
Linear algebra isnât that important in physics
Well no, but when I took linear algebra there were trig-invested questions that I couldn't solve to save my life.
To learn as a course
See chapter 1 of spivak com
you should start with rudin, google researchers can read it, so you should be able to too
What kind of physics do u do lol
Just gotta learn it from Calculus on Manifolds
you should write rudin as google researches
Rudin? Wat's Rudin? Is that the Analysis book or something?
I mean you wonât need a course on it
wdym
all of the physics majors i know are taking linear algebra or are learning it via their physics courses
linear algebra isnt important in physics
sounds like a Physics 101 opinion
I said it wrong lmao
Next what? Statistics is not important for physics?
I feel like reporting a murder now. . . .
physics is not important in physics
lmao that's like saying that infinity lie algebroids are not important in physics
tbh if you see how physicists do statistics you'd be tempted to say they cant do statistics either
you guys need to read more schrieber
have you seen how statisticians do stats
yes, its very sad
So is this Rudin : https://www.amazon.com/Principles-Mathematical-Analysis-International-Mathematics/dp/007054235X ?
Amazon.com: Principles of Mathematical Analysis (International Series in Pure and Applied Mathematics) (9780070542358): Rudin, Walter: Books
You'll be tempted to say they don't know what they're talking about OR they don't know how to communicate what they're talking about
||But that's true of every technical field||
there was a joke
you can tell if a statistician knows what theyre doing by asking them what grade they got in real analysis
so student comes to prof saying that he thrown coin 1k times and got 470 times heads
and asks why
If they got an A, they aren't a statistician
they're a reverse probabilist
It was a joke, because why would you be talented and still choose to go into stats
and studens is like "gotcha so amount of heads will be in 470-530"
It's an option for people who couldn't make it in math
and prof answers not exactly
||Like me||
student asks so wtf is going on, are these laws a lie
and prof says well
if they would be violated
i would be surprised
short answer: they made a mistake
long answer: they thought AI was cool but wanted to do it rigorously unlike the CS freaks, so they did stats instead
BOOOOOOOOOOOOO
stfu
GET OFF THE STAGE!
The telling of that joke took longer than the actual Snyder Cut.
. . .Mom jokes??? Really???
You know I should feel sad for you, but. . . .
NOBODY. . .
and I mean NOBODY
talks about my mother like that.
can't find Fearon's pre-algebra on libgen 
Except the entirety of Xbox Live. . . .
spam isbn
spam name/surname etc
wtf #chill
can we ban everyone in this channel. i'm willing to make the sacrifice for the greater good
What are you? Stupid? You ban half of the entire channel dude. . . .
Be Thanos, not Adolf. DUH.
are you condoning being horny?
đŹ
metal talk when
lets also not compare people to adolf fucking hitler
Bro, have you BEEN to the internet? Everybody is compared to adolf ducking hitler.
(c) Stalin
I don't know melia, I mean I tweeted about how I enjoyed a steak once and a Vegan had. . .opinions.
this is frivolous
Tru tru, but on the internet arguments start over something frivilous.
And when people start arguing, you know what happens. . .
Nevertheless this conversation has lost its merit, and continues to fill up #book-recommendations . It's a good time to call it off.
im done here
Fair.
eating meat isn't really frivolous
Here we go. . .
....
...
...
dot dot dot
I literally insisted not to fill up this channel with more off-topic stuff a few messages back.
Can we stop here?
reposting Q:
Skorokhod embedding from graphs to manifolds, anyone got a reference?
i'm just looking for a babby writeup because Brownian motion on manifolds is defined by the laplacian which makes it not immediately a transposition of what happens on R^d.
I'm thinking of learning about differential equations
oh no
is knowing calculus and linear algebra good enough?
ah
stuff you would see in books like Nagle saff snider or boyce diprima
only require calc and linear algebra
hmm any advice in learning it?
thanks will look into them
the uh no is scary
the only advice i have is to be persistent because they are bad books
there are no good books in ode at this level
well what should I also learn before diving in
đ¤ˇââď¸ for these books nothing else is necessary
well for the more complicated stuff
later on when you learn analysis there ought to be better tomes on the material that are more theoretical
which i am not familiar with
given that i have not learned any analysis yet 
lol
so would you say analysis, calculus and linear algebra would be the best prerequisites before completely diving in DE?
No analysis
Not really, it depends on what your end goal is
If you want to learn differential equations
Then just go learn differential equations
There's no reason to beat around the bush. You can pick up other things along the way
Treat that as interesting side things, you can't learn everything at once
true
for harder DEs analysis is unavoidable even to approach practical solutions.
but you can do a lot before that
most of engineering in fact
would pauls notebook be a nice more summarized resources?
pauls notes are fine
I love paul's online notes for just about any subject
So it's a great way to get your feet wet
doesnt khan acdemy have an odes course
I think so yea
Donât think so

they do
Oh damn
perfect
well I'mma go dive in, thank you all for your help
đĽ
Good luck with your studies
when you mentioned modular inclusions it became clear to me the standard takes like rudin functional are probably beneath your level
you're excused
Lmao

modular inclusions, which ive never heard of, are clearly some research level operator algebra stuff, is it likely that it pops up in a standard reference
@sweet lotus I like Borthwick but its angle on the material is probably less your style
I think "A Short Course on Spectral Theory" by Arveson is a more C* algebra angle
Not sure if this contains what you're looking for or not lol. Borthwick is more, does a bit of abstract spectral theory and then zooms in on Laplacian/Schrodinger operators on manifolds, and graphs
Ah okay
Yeah these are the two I know, sorry if they're not what you're looking for
Maybe check out the Fell and Doran "Representations of *-Algebras, Locally Compact Groups, and Banach *-Algebraic Bundles" 2-volume set, see if it has anything to offer you.
no worries, its my kink
holup
Hmmm guys, any book recommendations on differential geometry?
and what kind
Yes, just finished self studying topology
Trying to get into differential geometry
tu (introduction to manifolds), lee (introduction to smooth manifolds) (admittedly these are more "introduction to basic constructions on manifolds" than differential geometry books)
If you hate yourself want to learn about curves and surfaces
Do Carmo
If you still hate yourself but want something more interesting are looking for more general diffgeo, there's the other Do Carmo
I really like Tu
K, I hate myself so I'm definitely gonna look it up
Don't do do Carmo
was the pay off worth it?
Hmmmmm
"The other Do Carmo" = Riemannian geometry
Tu and Lee are all you need
Well that's not diffgeo exactly
^see my edit
Actually don't learn differential geometry, do finance and make money instead
Honestly fair
lol
But yeah I mean I kinda appreciate hyperbolic geometry
Hhhh lol but I hate myself. . So.
you need at least some of the manifolds stuff lee and tu offer to do what people mean by differential geometry anyways
Nah

Oh ok didn't know that
the only proper definition of diff geo is the appendix of a GR book
lol was gonna make a GR joke
Yes, but thx guys, gonna look it up...
There are "Intro to smooth manifolds" books
And they're gonna cover like, def of a manifold, tangent space/bundle, smooth functions, etc
Lee and Tu are in that category
Then there's differential topology, which studies the topology of smooth manifolds
Lee's "Introduction to XYZ Manifold" books are great, Tu is probably more difftoppy
Oooo sound nice..
tu's intro to manifolds is just watered down lee ISM
Don't worry about it, just pick one of Tu and Lee to read and you'll know what to do next
Ok
So you'll learn stuff like transversal intersection theory on manifolds etc
Guillemin-Pollack and Minor are the accessible books in this category
There's also Hirsch
Which is tough
(it's still a good book; also, lee ISM is like seven hundred fucking pages)
And Bott-Tu if you know algebraic topology
Finally there's diffgeo
Here you're putting some structure on top of just being a smooth manifold
Often a Riemannian metric
would you say it's necessary to have studied analysis in R^n (e.g. spivak/munkres) before embarking on one of these books?
This subject is incredibly painful, and Do Carmo is the relevant name here
Yeah it is
do u know the implicit function theorem and its equivalent statements
those books seem a bit of an awkward middle ground between diff geo and real analysis but i guess it's useful lol
Oh I mean I know I'm not yet prepared for differential geometry anyway (it was more out of interest) but I have looked at the implicit function thm briefly in munkres and stuff
or like, inverse function theorem too etc
(what equivalent statements are there?)
Inverse function theorem, constant rank theorem
ah, sure
@broken meadow
W... What
metal has 1 result for hhhhhh, 8 for hhhhh, 22 for hhhh, 39 for hhh, 73 for hh
Is metal actually just my son or something?
lots of h's in this chat rn, are we talkin h-cobordisms
Yes
eyyyyyyyyyyy
jajajaja
pppppppppp
55555 (this is how thai people laugh)
hhhh & qqqqq are pretty common among the chinese students i know
ikr im so funny
k is pretty common among the...
brazilians
bingo
virgin hhhhh vs chad wwwww
j
Why would you want to publish papers about your solutions?
I mean you can publish solutions, but I still don't get the point
I'm genuinely curious; I'm not trying to say one is better than the other
I guess their point was that you are not doing new math if you are doing competition math. You are just applying methods you have learned. That's not something you can do professionally (ie publish papers on or get paid )
Don't you want to be tenured and spend your years doing nothing while collecting paychecks
Lmfao
competitive math problems involve knowing a bag of tricks, and are only âhardâ because you need to know the tricks + time limits
itâs not a very deep thing lol
For me the true beauty in math is to construct theory
"construct theory" is weirdly phrased because some people might say to theorise
Wow do you do algebraic geometry
Why that face hahah?
No
Algebraic geometry seems like your cup of tea
Category theory as well
Constructing theory
Obviously solving problems is not important
lol
I too young to tell for know, I understand that solving problems involve building theory obviusly but I would like to focus on the building process principally
Obviusly you cant separate both activities completely as they are interelated
if you wanna focus on the building process, may i recommend Minecraft
The problems are only an excuse to build theory
Solutions to problems can have real world applications and I don't need that kind of negativity in my life
basically builders vs pvpers in minecraft
If mathematicians weren't so OCD about making sure their work stays pure, they'd pick up thousands of free citations in interdisciplinary journals.
Would they?
Except category theorists, who will never do anything useful.
Haskell doesn't count.
Who is going to start citing arithmetic geometry?
Mochizuki, a known applied mathematician who applies mathematics to black magic.
men I love black magic
women I love black magic
Non-Binary folks I love black magic
without a comma, your sentence's weird.
Im gonna ask this again: I wanna learn a proof of the Uniformization Theorem from complex analysis. Any Book / resource recommendations ?
Thank you!
I'm interested in some of Riemann's earlier work
Does anyone have a link to an English Translation of his work
There's one on amazon that's out of stock
calc 3 book?
If Wikipedia isn't enough for you then try Hubbard and Hubbard.
Any specific paper? I can only find his prime number paper translation on claymath, but I'd be up for trying to translate a page or two if it's something specific. (Not saying my translation will be any good though but it'd be fun to practice)
I'm primarily interested in his PhD Thesis
There seems to be an English translation on vixra of all places... đ
I'll take a look when I'm on computer tomorrow
Never thought I'd link a vixra paper that wasn't the two page proof of collatz in Microsoft paint
Hello. Can anyone recommend me some good books on probability?
I major computer science in uni, but I am on math double major and wanting to learn some mathematical optimization algorithms. While reading some stuff, martingales are regularly comming up and I have no idea what this is.
I have bit of analysis background. To be specific, I took both Introduction to mathematical analysis and Real Analysis. The latter is grad freshman/undergrad senior course which covers first half of Rudin's RCA. Since I was quite fine with it, I understand some basics of measure thoery and L2 spaces and so on
Someone I know (grad student) recommeneded me durrett's probability textbook, but it seemed bit too much for me. He also said that he haven't read the whole thing but he heard that it was good. Will this book be helpful for me? If anyone who actually went through the book can give me some info it would be very helpful
I have 6 weeks of to seriously study full time and then a whole semester to invest partialy. Thanks in advance for reading such a long question!
So I've taken a class out of Durrett. Tbh I wasn't very focused on that class; I just kinda barely figured out enough to do psets and crammed for tests. That said, I was able to do so successfully, which I think suggests the part of the book we covered wasn't too hard. It basically reviews the needed measure theory
I barely hit chapter 4 which is on martingales and where stochastic stuff starts
So I'd say it's probably successful to you but maybe it's not the most efficient way to get to that material
It seemed like I have to read hundreds of pages if I choose to study Durrett
Maybe I can skip some measure theory since I studied RCA, but still it was quite overwhelming. Still the reason I am considering to read it is because Markov chains and Brownian motion might be helpful for my study (I am not sure here) and if it is the case it might be worth investing my time. Still I am finding something more narrow and then if I need other topics I can then read other chapters of Durrett
Thanks Daminark. I will check those notes!
Yeah the strat is gonna be to skim the measure theory part just to get the notation
It's mostly like, okay a probability space is a space of measure 1
Measurable function to R is a random variable
Only probability - related stuff I have done was like distributing n balls with different colors to m people and calculating some weird stuff
And remember the Borel-Cantelli Lemma
Never thought it requires so much analysis lol
Hahaha, yeah it gets nuts as time goes on
The definition of a martingale is very messy for what I think it describes
I'm pretty sure it's got an interpretation as n step gambling
When I was taking analysis course I thought it was purely for fun to me and has merely nothing to do with what I want to study
Since I am CS student
After taking optimization course there were like martingales everywhere...
- Stochastic Differential Equations
Yeah that stuff gets scary
I mean I get why martingales would show up maybe? Tbh I don't have the greatest intuition for them
The definition is fucked you have some like
Sequence of sigma algebras
And you sorta define some very general notion of conditional expectation
And then you give me a sequence of random variables such that the conditional expectation of each with one of the sigma algebras is the next one
It's big but the origin is from gambling
There were some weird people studying graph algorithms
like understanding graph operations as events with some probability distribution, and they were throwing some weird theories which I had no idea.
What you said now like kind of make sense, it can be useful for what I want to study
Thanks. I will first read some lecture notes you recommended
Markov chains?
In their proofs it was like 'theorem x.y is obvious from properties of martingales'
and like "wth is that I was suffering for hours"
so I wanted to study them đ
Makes sense lol
Thanks for recommendation đ
I think I can kinda give you the general idea quickly tbh
So
Expectation
Again a probability space is a measure space Omega with measure 1
(Omega,F,P)
A random variable is a measurable function X:Omega->R
The expectation is just \int_Omega X dP
Well consider the case where Omega is finite. Then I can specify probabilities of points
In particular, if the distribution is uniform, so p(x) = 1/|Omega|, then expectation is literally just the average
So that gives you an idea why expectation is expectation
Alright so now
Let's say X is in L^2
Then the expectation minimizes the distance in L^2 between X and any constant function on Omega
So now the trick is you define conditional expectation of a random variable X given a random variable Y with the same idea
Actually pulling up Durrett to remember details
Okay he just defines it with respect to a sigma algebra
Basically E(X|F) is gonna be defined as, the random variable that's your best guess for X if your data is F
So it'll be a random variable Y that's first of all in F, and second its expectation restricted to any set in F agrees with that of X
I'm pretty sure there's an L^2 projection interpretation floating around somewhere here
But basically yeah E(X|F) is your best guess of what X is if the only data you have is F (since X might not be measurable wrt F)
So if X is measurable E(X|F) = X
If F is just the stupid sigma algebra then E(X|F) is just constant, the expectation
Okay great so
Oh neat prob theory
Right right so basically you're basically considering the random variable Y that's F-measurable and which minimizes E((X-Y)^2)
Okay now time for the big reveal
Let's say F_n is an increasing sequence of sigma-algebras
And then you have a sequence of L^1 random variables X_n
X_n is measurable wrt F_n
And E(X_{n+1}|F_n) = X_n
That's a martingale
Okay cool what the actual fuck is this bullshit
Basically I think it's like, a betting strategy
I think ppl usually say that E[X_(n+1) | X_n] =X_n and the sigma algebra is implicit
Wellllllllll
The way to think of it is âzero driftâ
That's in a certain case
Where F_n is the smallest sigma algebra st X_1,...,X_n are all measurable
Yeah and thatâs what is usually used as far as I have seen
That I could see denoting as E(X_{n+1}|X_n,...,X_1) or something
But in principle you could be more general
Yeah thatâs fair ig, but when we talk about Martingles the applications in mind is zero drift stochastic processes
I mean I'm not talking with those applications in mind in particular
Fair enough ig
Like idk if there are others for which the more general situation matters
Sorry for interrupting ig
Oh I am on something right now, so I will read what you wrote for me later! Thanks Daminark and John :)
If you ask a harmonic analyst they'll say Haar measure is all that matters and probabilists will seethe
Well a certain type of harmonic analyst, and also I meant to say Borel measures rather than Haar measure
It's morning. But yeah anyway point being I never want to be ignorant of who I might piss off.
Maybe logicians (jk love you Ultra)
Anyway yeah martingales have some nice theorems like optional stopping and shit. So I imagine the idea is you give me something irl and whoooaaaaa it's a martingale
In my experience though like, martingles have very nice properties (things like Brownian motion or simple random walks) and what you usually do is for sufficiently nice stochastic processes you decompose it into martingale and something else and then do stuff to that.
Yeah exactly
Doobs optional stopping gives nice solutions to things like gamblers ruins
That said it's 6:35AM for me so I'm gonna say this is my optimal stopping time and go back to sleep
See ya
If you ask a harmonic analyst they'll say Haar measure is all that matters and probabilists will seethe
I'm a probabilist and the Haar measure is all that matters.
anything important is a topological group action
more importantly, acting on tempered distributions
What books do you recommend for starting complex analysis?
Like, an introduction book
how does rudin do for complex in rca
ive never learned complex actually, i just drilled quals problems
and picked up random bits
@marble solar it looks like an actual translation, you can compare at least equations and sections with the original German at https://www.maths.tcd.ie/pub/HistMath/People/Riemann/Papers.html The missing few paragraphs mentioned in the translation before section 6 can be roughly translated with Google translate/dictionary as
If the position and the meaning of the limitation of T and the position of its winding points are given, then T is either completely determined or at least restricted to a finite number of different shapes; The latter, insofar as these determined points can relate to different parts of the surface lying on top of one another.
A variable quantity which for every point O on the surface T, to speak in general, that means without excluding an exception in individual lines and points[footnote], assumes a determined value that changes continuously with its position, can obviously be viewed as a function of x,y, and anywhere in the sequence of functions of x,y that we will discuss, we will define the concept of it in this way.
Before we turn to the consideration of such functions, however, let us turn to a few more discussions about the connectedness of a surface. We restrict ourselves to such surfaces that do not split along a line.
[Footnote]
Although this restriction is not required by the concept of a function per se, it is necessary in order to be able to apply calculus to it: a function that is discontinuous at all points on a surface, such as For example, a function that has the value 1 for a commensurable x and a commensurable y, but otherwise the value 2, cannot be subjected to differentiation or integration, that is to say (directly) to infinitesimal calculus. The arbitrary limitation for the surface T will be justified later (Section 15).
Yeah, I found a publisher that'll do it
@forest sleet there's an obscure US publisher that'll print me a hard copy of all of Riemann's works
oh nice!
whats a good book for an introduction to analytic number theory
i dont know complex analysis so i cant do apostol
I uh
don't think you should learn analytic number theory without complex analysis
Technically you can do without of course, especially at the start but
I guess it depends on what you're looking to learn and why
i see
where would you recommend to learn complex analysis then
Stein and Shakarchi maybe, that book is somewhat number theory oriented too
None? It's a complex analysis book
I'm just saying that they touch on some number theory applications, moreso than other complex analysis books
ohh
ok
thanks
do you know if this is good by any chance?
The course covers the most important topics of complex analysis. We start with the definition of a complex number and progress quickly to the concept of complex derivative and the analytic function of a complex variable. Next, we move to contour integration in the complex plane and discuss vital theorems of complex analysis (such as Cauchy's and...
Actually, you can!
Look at Stein & Shakarchi Fourier analysis
The last two chapters are analytic number theory
From a real point of view for the most part
Also a lot of apostol isn't complex analytic at the beginning
so i should do stein and then apostol?
Yeah, do stein and shakarchi volume 1
If you want to learn complex analysis the best book is ahlfors
oh the other dude recommended stein for complex anal
also is this fine if i all i want is enough anal to understand apostol
oh ok
The problem with stein and shakarchi's complex analysis
Is the way they do contour integration
It doesn't make any sense
and it just avoids things that makes it easier
i see
when zoph is a number theorist
?
If you have a question about single var complex analysis
Just look it up in S&S and read the proof
And then you see toy contours
And you're like what the fuck is that
Eh, I learned complex out of S&S my first year, and MIT uses it for their complex analysis class too
mit uses it, it has to be good
i had brown and churchill and that doesnt even count imo
oh my god my blue color
i wouldnt put that much weight into my opinions lmao
We used ahlfors in our grad level course and I just dont like that book
zoph 2 op
i dont think a good way of determining whether or not a resource is useful is whether it is used at mit
i was being sarcastic
oh sorry
i thought it was fr lol
because a lot of people are like "MIT??? this has to be the best thing to learn from ever"
poor mit faculty doesn't know where to get their books from if they're the reference
dies S&S include most of the proofs or just leave most incomplete @tranquil ocean ?
Does anyone have a good linear algebra textbook that has good details on quadric surfaces? I'm trying to understand how to transform an ellipsoid but am having a fair bit of trouble on the in between steps.
It includes proofs
oh lol thats what mathstack said
Omniscient Reader's Viewpoint
ayy tyty
are stein and shakarchiâs books more comparable to baby or papa rudin
wait actually
If you read either the Stein Shakarchi or Rudin series you probably won't need to read the other, but their coverage styles differ. The former is more pedagogical, the latter is more concise.
And there is some difference in the material as well. Rudin does more operator algebra, does differential forms briefly, etc.
And the first half of rudin functional
If you include 4 maybe but I think S&S4 has a very non standard topic selection
So I have no idea how much intersection there is with grandpa Rudin
But yeah baby Rudin... Isn't a prereq for S&S but is mostly lower on the scale I'd think
SS feels like they're building towards harmonic analysis or ergodic theory in terms of coverage, loosely.
As in if there was an SS5 it would've been one of those two topics probably.
i have no personal recommendation but Susanna Epp's book on discrete mathematics is popular in computer science classes
are there any ELI5 books for on-the-go
wdym
Are the Strang MIT Lectures a good companion to more proof-based linear algebra books (Axler)?
No
Is it more of a geometric (intuition) approach on the objects in Linear Algebra?
I saw some of the lectures and theyâre not proof based
Itâs more on how to DO linear algebra
Not necessarily
More numerical actually imo
anyone got book recs on clifford algebra?
linear and geometric algebra by macdonald
thanks
the author has a lecture playlist on youtube too
Hi. Just curious. Does anyone here know a book that would be like "problem book on mathematical modeling"?
Reality
I'm looking for good books on parallel programming, using MPI for example. Does anyone know something they would recommend?
Like
How to multithread in general?
Or how to actually do code that executes in parallel
I know my way around multithreading in general, so anything that covers advanced concepts would be interesting
I've been learning about specifications like openMP, MPI, and GPU accelerator specs, so I'm fine with anything that focuses on any of those as well
Foreword Now is an excellent time to be working in the field of computer graphics. Over the past five years, GPU technology has advanced in astounding ways, and at an explosive pace. The rendering rate, as measured in pixels per second, has been approximately doubling every six months during those five years. A factor of two is certainly excitin...
This is more GPU focused
I don't work in computer graphics, but there might be some interesting techniques in there, thanks
do you maybe know about any resource that is more generally applicable?
Lots of these techniques are generally applicable
If you look through the list of topics a lot of them are not about computer graphics
But doing GPU acceleration requires at least some baseline knowledge about computer graphics because of the hardware and stuff
You could also look through https://sites.google.com/lbl.gov/cs267-spr2020/ but it might be a bit too basic for you
See Piazza for the latest plans on course adjustments due to COVID-19. Final Projects are now due May 13, but this is a firm deadline.
Instructors:
Aydin Buluc (send email), Office Hours Mo 2:00-3:00pm at https://berkeley.zoom.us/j/9945427874, book here
Jim Demmel (send email), Office Hours Mo
Alright I might take a closer look at the CG techniques, might be worth it
CS267 looks perfect to me at first glance, thanks for pointing it out! Seems like they're going through lots of different techniques by applying it to different problems, and it's probably about more than just writing the code
I mean I would like a formal treatment, so this looks nice
CS267, not even once.
anyone have a good measure-theoretic intro to fourier analysis?
Is that good or bad? đ
any HPC computing book will cover all of these, but for more than a hello world, you should probably pick your programming language and exact approach. there's not too much to say about openmp, the entire point being that it's supposed to make parallel compute easy. mpi is very specific and mostly used in the HPC space with supercomputers, and GPGPU (like CUDA) was made hot over the last decade especially with ML, and before was (and still is) being used for HPC purposes
Yeah HPC would be a good way to go. I learned all I know about this from the yearly HPC courses from Argonne National Laboratory. The recorded sessions are pretty good but some of the instructors make it difficult to understand them, so I wanted to look for some other source
do you maybe have access to the recorded lectures?
it's a good course, i'm just joking
that's good to hear đ
did you take the class in person?
no, i just know demmel quite well and a bunch of the course material
Is QM Griffith doable for someone with only some background in LA and MVC? Been trying to dip myself into physics but QM and Elemag are the only ones that sparks my interest
I'd say yes from what I've seen
It should give explanations on some maths anyway ig
Yea
But I wouldnât start with qm
Start with classical mech
As analytical mechanics is very important in qm
I have under my belt some Mechanics (Kleppner), however mechanics is really not sparking interest to me.
You need to have some analytical mechanics experience
Especially when learning more in depth
Cuz griffiths doesnât
No I do not
But if I recall you still need to know analytical mechanics for griffiths
Alright, thanks for the tips!
Btw no graduate level analytical mechanics is needed, Taylorâs is fine
I still recommend just doing all the physics first then qm
E&M is also important
For qm
Apologies if this is a bad question, but I donât have a complex analysis course at my school, just real analysis and complex variables. Can anyone recommend a good book for complex analysis that naturally follows from those two courses?
Complex variables = complex analysis
Thatâs what I thought originally, but the course doesnât look like it goes super deep
Hence confusion
Yeah I havenât had that course tho, but all I know is complex variables is the same as complex analysis
Consider Stein and Shakarchi's complex analysis
That looks like what I was looking for. Thank you!
Easily
I disagree with the idea of analytical mechanics being important for qm(in Griffiths), like you , I did kleppner in sem 1 and griffiths qm in sem 2
Yeah nvm
Was confused with shankar
Btw if you want a good introduction, use griffiths with shankar. Theyâre pretty compatible
yes
Model view controller
monoid valued category
mean value corollary
Mixed variable control
My Vhemical Comance
I guess it depends on what ur interested in, but if you don't like atoms and 'spatial' stuff blah blah, griffiths could get rather boring
i have no idea if this is a good idea or not, but Ive always wondered what life would be like if you learnt the "finite dimensional stuff" first, like from a quantum information standpoint or something
Givental has a QM book
nielsen+chuang does have an intro to QM in their textbook
oh wait I think I looked at that once, Ill check it out
yeahh.... i rememebr this cat
Don't cats have 5 fingers
I guess it really depends on what ur interested in; my main point being that if you like thinking about qubits/information/finite dimensional stuff, you don't really need to know all the spherical harmonics, L^2 space, blah blah stuff
Out of context
u like atoms?
Yes 
u like spherical harmonics?
yeah but... they r annoying? lol
all the calculations are just random integrals, exponential factors, trig factors, yuky
Lol ye
Does anyone know any qm books for mathematicians that are good lol
Or at least ones that don't make me have to turn a blind eye to certain manipulations every now and then lol
Givental's book perhaps?
might check that out thanks haven't heard of it actually
Idk if this is what you are looking for but the sakurai book is a good graduate level book



