#book-recommendations
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i hope that in theory yes
for reference: thats about as much "intro proof" stuff i did but i wasnt self teaching
I am trying to read How to Solve it - A New Aspect of Mathematical Method. Felt boring š¦
Stick to reading Tao. 
@karmic thorn : Yes I am continuing that. Today I gave a rest to it. Tomorrow I will continue again. I have reached 'Definition 2.2.7'
Good.
I have a drive folder with like a 1000 books for math.

I have one for physics with like 5000 books, but that is already well ordered by the 'maker' pirate.
the maths one unfortunately isn't 
It's against ToC here to ask for sharing it.
Discord ToC?
hmmmmm, I wonder if math server is anti-pirate. I dunno how you guys spend real money buying things.
This is a marxist cat server,sir
aaah perfect to my liking
discord's TOS requires us to prohibit the distribution of pirated material, and to recommend you avoid discussing it.
we don't exactly agree with discord's TOS
but c'est la vie
post "this is not pirated" every time you post something
given that we literally just post entire pdfs in the server sometimes I would hope there are some loopholes 
Iām not the person to ask, but maybe the first part of Fulton and Harris?
I've read through Serre and enjoyed it, but I also found http://sporadic.stanford.edu/bump/group/ super helpful
and there are a couple exercises there too
@split basin
dummit and foote doesnt really give a full treatment on rep theory, just an introduction
i dont think its treatment is bad though? at least its not one of the chapters people like to complain about
d&f does have a lot of exercises
and the exercises are great quality
outside some of the, uh, computational ones
It's not one of the chapters people complain about.... Because nobody reads it? š
anyone know any good books/pdfs available on digital manifolds?
@soft terrace I haven't heard about that, is it a very niche topic? Have you tried any of the two references mentioned here: https://en.wikipedia.org/wiki/Digital_manifold ?
In mathematics, a digital manifold is a special kind of combinatorial manifold which is defined in digital space i.e. grid cell space. A combinatorial manifold is a kind of manifold which is a discretization of a manifold. It usually means a piecewise linear manifold made by simplicial complexes.
@graceful bridge Yes, they are rather hard to get a hold of. I was hoping for cheaper options. It seems to be a rare topic, I got interested in it when I was reading out geometric group theory and lie groups. It seemed like the topic would mesh well with those two subjects so I am investigating it.
BTW interesting book I came across recently Jonathan M. Kane - Writing Proofs In Analysis
it's an introduction to proofs textbook but solely focuses on analysis
pretty much as an introductory course and the steps are super explicit in proofs:
also has proof templates for things like proving a limit doesnt exist and examples of incorrect proofs and why they are incorrect
I have no knowledge in this subject. But this proof looks nice.
thats painfully wordy honestly
i'd understand it if they gave exposition on how they came up with each step, but it doesnt look like it? at least based off that image
its an interesting idea,, though, i can forgive being wordy when your target audience is students struggling with proofs
Hmmm, presenting proofs in bullet points.
That is indeed a good way of presenting proofs to the layperson.
maybe more pictures could be good too
Could have been made more useful by reducing the number of bullet points, and elaborating on the "core" idea of each proof.
Yeah, that would be nice.
the proof is painful I am lazy and will never use english
How good are Dover books for maths? Amazon has good rating for them( mostly are 4+).
Varies from book to book.
Dover mostly publishes classics which had been out of print for a long time.
So, they are outdated as well?
Some of them are extremely good, others are outdated for present purposes, while some others may be illuminating in their own ways due to non-standard coverage.
You can check with reviews on Goodreads before getting something, reviews on Amazon usually tend to be people complaining about paper quality so you don't get reviews about the contents itself.
100 great problems of elementary mathematics: their history and solution --> This I liked. It seems difficult.
I would say all exercises at the end of the chapter.
thats a bit much lmao
So that you never miss any concept.
i mean, certainly do any of the exercises that seem important
dummit and foote first introduces the notion of kernel in exercises IIRC
but its usually fairly easy to tell which are like, super important
at least if youre experienced
Ok.
What I've been doing lately is this: for computational exercises, I would simply pick the most challenging ones. For proofs, I would try to formulate a proof-sketch inside my head. Most of the easy exercises can be dealt with in this way. If I think a certain result is not so easy to prove or seems more significant/general, I write down a complete proof in my notebook.
But what if you feel like one is easy and once start solving it's tough?
If in the formulate-a-proof-sketch-inside-my-head phase I realise that a result isn't very obvious, I write it down and work on it.
Checking answers, well, I usually rely on my instinct. I doubt my proofs if either they're too elegant, or too complicated. I often ask here to validate my ideas, and that works.
So anyone ever worked through mathematical methods in the physical sciences by mary boas? I'm doing self-study but there's like 3000 questions with answers, anyone know how to efficiently go through them all. Doesn't help that the answer book is garbage and I can get stuck at everything
Why learn from Boas?
Unless you're into physical sciences themselves and don't want to bother yourself with proofs, etc.
Doin it as it's stated as a prerequisite for a master
Well more like the knowledge in it but still
And it's the technical side of a cognitive neuroscience master so I might need it
I don't think that's specific enough
The book?
Admission requirements state something along the lines of this "calculus, linear algebra, vector analysis, fourier series and transforms, ordinary differential equations"
then states the book, I could only do those specific parts, and some of the rest if necessary
Oh and "Electromagnetism and calculus-based introductory physics "
The latter can be covered well by a book like Halliday/Resnick
For the former, you can cover calculus from Khan Academy. For differential equations and linear algebra, MIT OCW has resources(lectures, notes, assignments). Maybe that should give you enough grounding to cover fourier series and transform from a book like Boas.
Wait, so I should read those books/watch khan academy before attempting boas?
Not really
How much of this stuff do you know already?
Have you done calculus/linear algebra before?
Yes, I passed a course at uni for calculus
Although I'm not sure how much of it is left
Maybe recap calculus from Khan Academy first
That would cover some ODEs as well
Try using Boas book on the sidelines for practising problems and reading up
Oh it was from the book calculus: a complete course
Revising it should be now pretty fast.
Honestly I don't think calculus will be that much of a problem
Hmm, then start with the linear algebra part?
It's worth revisiting, and I would put it in the basket of easier stuff.
How much time do you have at hand?
I was about to say
Til september, though lots of time on my hands
If you're comfortable enough, try reading it from a book devoted to linear algebra, probably one that is written for a first course in the subject.
Strang's Intro to LA/Lay's Linear Algebra and its Applications should be fine
You can study DEs concurrently
What's DE?
Differential Equations
If it's neuroscience and is similar to neural network , you might be need matrices and light differential calculus and linear algebra. I don't think you need to go so much deep into it. Matrices is a must.
Alright sounds like a plan, read up on linear algebra using strang, then look into halliday/resnick, further reading of boas perhaps
Thanks!
No worries; goodluck!
BTW Halliday Resnick is for highschool physics right?
It covers more than typical HS does
And is generally used as a textbook for an introductory course in physics at the university level
This is meant for an intro to proofs thing so making things wordy/explicit is important. Exposition explaining individual steps is typicaly in the main text.
yeah i think i was too negative on it initially
it's certainly interesting; teaching prpofs to students totally new to them is always tricky
i wonder whether an analysis course is really the best setting for it
since honestly the problems/proofs encountered in a more standard "intro to proofs" feel very... contrived? maybe thats the wrong word
but like
they dont require the "creativity" that actually proving things usually involves
whereas analysis problems frequently do, what with defining special functions or sequences or making actually relevant/novel observations or whatever
Iād argue it is, for exactly the reasons youāve stated. Algebra can also take on a very āfollow you noseā direction in a first course, and something like topology is only really motivated after a first course in analysis IMO
as someone whos more on the rudimentary end for proofs (coming from physics/engineering) it's nice seeing the kind of explicit instruction around less obvious stuff like epsilon delta
At the level of like, spivak
basically there's only so many times you can see the sort of introductory proofs stuff like "sqrt(2) is irrational, there are an infinitetude of primes, ..." "ok now you understand proofs" and then the text jumps to proofs that look nothing like that
Also, my prof said not to really worry about basic physics, maybe learn some Newtonian stuff but then just focus on dynamics and some other stuff directly
Yeah, I think thereās a basic set of proof tools that get you feeling comfortable enough with actually writing proofs to start encountering actual argument. I think most people are just at a loss as to wtf even constitutes a proof at first so showing them stuff like what exactly implies means, biimplication, proof by contrapositive, proof by contradiction, and proof by induction is really useful.
Then itās pretty natural then to start trying to work on analysis. At which point weāre trying to build up ideas which should be easy to write up into a proof
Proofs of the BCT and Doobās upcrossing inequality would be awesome introductions to proof if they werenāt maybe a bit too advanced (does everyone see BCT in a first course in analysis?)
Do people see discrete time martingales in a first course in probability/statistics? If so then maybe Doobās upcrossing wouldnāt actually be a bad choice for a lot of people to look at. I think thereās some fudgy analysis in it though
personally i think a useful approach to learning proofs would be taking a big proof and then breaking it down as to what it means in detail and doing that for a lot of different proofs
ie a reading centric approach vs writing centric that builds up to gradually longer and more complicated proofs
I disagree, reading proofs doesnāt build confidence in translating from idea to rigorous exposition imo
two sides of the coin
you have to be able to read what your textbooks are saying when they do the proofs
to then write your own
and from more of a creative writing standpoint the best writers tend to also be the ones who read the most (for fiction/nonfiction)
I think the first segment of any "intro to proofs" book or class should use simple proofs which highlight the logical flow and intuition of reasoning with simple arguments, and expose them to implications, etc. The next segment should show all this in context, where proofs have more to them-at such a place you could maybe use analysis/algebra to highlight how many proofs have a "core idea" supporting it, which may not have been obvious at first sight.
Highlighting core ideas, backtracking against known definitions/theorems would be fruitful for anyone learning how to prove things.
Anyone have an opinion on PDE books? I know Evan's is pretty standard, anything better?
(for a second look, may speedrun Strauss for a first look. Connections to SPDEs and/or including some ODE stuff would be especially nice)
What's a good topology book with very basics? Not directly jumping into theory and all.
Uhhhhh what exactly are you looking for if not theory?
do you mean like pop sci topology?
Visuals?
Aight, anything better? Was basically planning to use it just to see the Laplace/heat/wave equations with some theory before looking at general eliptic/parabolic/hyperbolic pdes
i have heard that topology without tears is nice
@gray gazelle its probably the "easiest" topology book
Yeah, but even TwT starts right off the bat with definitions and stuff.
It's a good first read
i mean, otherwise you aren't doing topology
if that's all you need then it's probably fine
Probably this if you're avoiding theory
I think it's just a bit obtuse sometimes
Yeah, prolly what Jason sent above makes more sense then 
Evans is a genuinely fantastic book
tbh the vector calc in Evan's scares me 
if you just want to think about shapes, consider buying play dough
And the notation, while standard, is a bit frustrating
When I first opened it I felt the same way but you just kind of get used to it
especially the vector calc
pdes makes you into a vector calc god
I can't find it in Amazon. Only nearest one available 'Statistics without Tears: An Introduction for Non-Mathematicians'
like, I never even took a class on multivariable calc and it just kind of comes together
It's a free ebook
Available on the author's dedicated website for that book
It doesn't have a physical edition afaik
lol I thought that's what electrodynamics was for
Does having the background in undergrad (Strauss level) PDEs help a lot?
my class has been basically working out of evans while the class text is strauss
I got the book TwT. And if it is called TwT then they failed on me š¦
you can jump in at either level depending on your analysis knowledge
^^^
Gotcha, so it's not really worth dealing with Strauss
it's good for a supplement
I'll find some other book on SPDEs when I get to it
Doesn't Arnold's book cover PDEs?
Where's your class stopping? You could kill someone with Evans so it's probably not a book to read cover-cover
Which Arnold book? ODEs or Classical Mechanics?
I guess there are some things that evans takes for granted now that I think about it (e.g. first order pdes) which is kind of annoying
CM
Also I have a class using Brezis this semester so I'd skip a few chapters either way
Ah, tbh my ODE knowledge isn't great, didn't pay much attention in that class
It's currently unclear but I think the goal is to do stuff with greens functions, fourier analysis and sobolev spaces by the end of the semester
ODEs are basically irrelevant beyond "oh look we have characteristics so this pde is now an ode"
(don't worry, I didn't confuse first order PDE and ODE here, though that's not obvious from how I worded it)
Gotcha, not like "now that we have that characteristic, we have this very particular ODE which we can solve with this pretty useless technique from ODEs"
yeah things like that never show up
The Art of Statistics: Learning from Data - This is nice for beginners. Rather than directly jumping to formulae.
Alright thanks! I'll probably just go back to Evan's and give it a more serious shot then, depending on what my advisor says (I asked him what to work on before PhD and am expecting him to say either harmonic analysis, PDEs, or nothing)
Sreeraj, where are you at mathematically?
689uop[]\
@narrow talon : 2/10 - Know basics of calculus, algebra, set, matrix, statistics, PDE
That'd be an insane amount if you consider how large math is
I mean, do you know calc?
Algebra as in "mx + b" or algebra as in "the polynomial ring of a UFD is a UFD?"
Also, are you in high school (or some equivalent) or undergrad?
Undergrad
Eh, it's not too insane depending on level of PDEs, my uni offers a non-proof based class on PDE
First year?
@narrow talon Was, 14 years back.
Yes
Gotcha!
Is there a particular area of math you find really interesting? You've asked about a lot of books and it's just left me a little confused as to where you're trying to get
That what we all are pondering here
It's okay to just be interested in getting broad exposure right now
I liked most of the subjects except Set theory. Now am I trying to relearn that as well. Doing Tao's analysis. Next chapter is Set theory. Excited. Now I feel Set theory needs most intuition(which I am lacking
). You can't cram it.
Set theory is very deep and useful to know so that's good. The sort of canonical trio is analysis, algebra, and topology. Usually in that order too
Same, although I'm doing lin alg instead of AA.
And I also have some courses at uni, so that adds a bit more to my basket.
I tried doing group theory without doing LA, and I was doing okay, but I think approaching it after linear algebra would make it very natural.
Like
I realised group homomorphisms are just a generalisation of linear transformations
I'm not sure if that's accurate
But there's some similar themes
Since vector spaces are Abelian groups under addition
you're an abelian group under addition

Yeah, abstract algebra is fun, I'll try to do it later this year.
For now, I'll be sticking to real anal and lin alg. Maybe follow up with differential equations and complex anal.
approach group theory from the point of view of "we only care about these because they act on things" and you'll be 100% set

That was my initial approach since I started group theory when I didn't even understand modular arithmetic, let alone vector spaces. 
It didn't end well, but mostly because group theory was my first exposure to writing proofs.
Does the average cs student learn about proofs?
Sounds a little backwards to me
@hasty turret yeah, most often in a discrete math course
and then again in an algorithms course
(or vice versa)
and then they forget it
AA has pretty little in it. It's a lot of definitions and then understanding simple properties about those definitions. The only thing that makes it so tricky is the level of abstraction is higher than initially dealt with
It's more appropriate to view linear transformations on vector spaces as group homomorphisms which also preserve scalar multiplication?
Yeah

What's this channel name?
tbh I view linear spaces as linear spaces haha! They're sort of the atoms for a space I'd be working in most the time, as opposed to groups
Fair
linear algebra is important, mathematicians spend a lot of time multiplying really big matrices 
I just thought vector spaces would make some good examples of groups, so you have something "concrete" to compare with when you study group theory.
However there is a lot of interplay, I believe Michael Artin's book very much takes the approach of linear algebra first
@gray gazelle What's so big about 4x4.
Depends
well its very common to use linear algebraic arguments in a first group theory course
in first group theory course you mostly use some subset of matrices with matrix multiplication as a group though
basically modules
in lie group theory too

Matrix stuff? People think math majors do arithmetic quickly 
me trying to understand finite group rep stuff: isnt this true
all lie groups are matrices to me
hsisskajs
lie groups that aren't matrix groups are a lie
all math is secretly matrices
All math is fancy logic
Don't they š¦
linear algebraic arguments are very powerful
in group theory
i remember a midterm problem that was like
suppose G is nontrivial abelian and each nonidentity element has order 5
i take a class on finite group rep next semester
or well "groups and their representations"
I can't even pretend to know that I understand what a module is 
show that the centre of Aut(G) is isomorphic to the cyclic group on 4 elements

idk how you'd do this without linear algebra
but regarding it as a vector space makes it ez
A module is a vector space with a ring which is almost a field
almost?
huh that's interesting
What's the missing bit?
There can be elements without multiplicative inverse
Aah
field = quotient by maximal ideal
a module is like an ideal but more general
I'll probably start with Jacobson this summer 
all of the theorems in algebra are true
lmaooo i read nontrivial nonabelian
and was like
wait
am i really dumb
Where will I use Bessel functions?
wait wouldnt aut(G) be larger tho
solving jacksons em problems
cuz like swopping 2 generators is still a aut
Bessel function is solution to a type of ODEs called bessel differential equation which show up in a lot of natural phenomenon
@calm crane the centre of Aut(G)
the idea is to view the group as a vector space over [REDACTED] and then your automorphisms are [REDACTED] which obviously linear algebra gives us a lot of tools to study
and [REDACTED] commute precisely when...
fill in the blanks

interesting perspective
i hate it when people say a module is a vector space over a ring
i mean it kinda is
no
@quick hornet oh that's nice
there's also like, i forget whose it was...
ah ernst witt
right so witt's proof of wedderburn's little thm
as seen in proofs from the book
yeah so just the initial idea is to treat R and C_s as vector spaces over Z (Z(R) that is)
(centralizer of some s)
im not sure if im allowed to post the link anymore as per the new rules lol but you can just find it easily by googling 'proofs from the book pdf'
@calm crane have you seen this btw
yeah i mean it's like, it's literally a uni link so like i dont think it's against the rules lol
page 23
as in, proving finite division rings are fields
that's wedderburn's little thm
witt's proof goes into cyclotomic poly stuff
oo
yeah i mean this is a pretty nice book
if i ever had the occasion to try to get someone interested in math i'd definitely take inspiration from it
lol yeah I never read that much of it
but it's cool to just have as a reference as I use it
Nice book
Tu is easier, Lee has significantly more detail
they are equally well written 
How about Shahshahani?
To be honest, I'm not sure my topology is up to snuff, just don't want to deal with a book like Munkres. So I lean towards Tu followed by Bott Tu
lee's ITM 

It's alright but bloaty
One day I'll have to be the one to write a "topology for analyst" book
Ch4 of Folland might work actually
folland's analysis book?
i guess
i haven't read it
wait folland has a section on topological groups and haar measure 
based
I feel Springer books are of good quality(content)
Yeah
Folland is a pretty damn good book, also has some nice sections leading very naturally into more advanced topics in analysis. Wish I would've had it as my real analysis text over Rudin (though I'm not a Rudin hater)
When conducting independent study into mathematics (In my case as a tool for physics) is there a good way to judge what topics in text hold value for furthering studies, or should I cover all subjects in a text to some substance and just allow myself to naturally forget those that do not build upon themselves as much?
Additionally, what would be a good first semester PDE book? (Knowledge in ODEs/Basic Linear Algebra/Stats, should I have a broader base for this subject?)
An Engineering friend gave me "Applied Partial Differential Equations" by Paul DuChateau and David Zachman, but I thought I'd see if there are other recommendations.
i think knowing some stuff outside what your studying will help lead to original creativity by possibly finding a connection between two totally opposite subjects of each other
im trying to connect math with addiction and pyschology
using math skills like how you cant have a fact without evidence nor evidence without a fact can def be brought into addiction
IMO you'd probably find some of the mathematical methods for physicists type of books provide you the best overview and then you can branch off into individual topics
So the main ones are Arfken&Weber, Boas, And Riley&Hobson&Bence
depending on how deep into math you want to go there are others
but they try to stick to stuff that will pay off for physicists
for self study all of those have solution manuals around
There are many facts without evidence
youre going to have to give me an example... are you speaking of facts that are yet to be proven? or you have actual examples of facts without evidence?
you've got your known knowns....
Yeah lots of facts left to be proven, also there are theoretically some facts which cannot be proven at all
Eg the statement "this computer program will never halt"
thats a fact? thats a definitive known fact?
continuum hypothesis
Well that's a little different
i mean evolution is a theory vs gravitiy which is pretty much a law but i mean even those two are complete in different realms
I'm not sure what that means
im saying event hough the differences are infinitesimal a theoretical fact is not a fact bc its a theoretical fact
I'm not sure what a fact is then
fact is somehting thats proven with evidence
I'm not sure what being sure even is
what about nonorientable spaces
Are you saying you don't believe the evidence for evolution?
i know this stuff i lived with my mom for many years and she never has proof buit she calims its all facts
thats how im going to connect math and pyschology
i need to prove that without backing it up theirs a possibility its not fact
no gaps
Evolution is obv a fact however the theory that man evolved from the ape isnt. It is a likely to explanation but its truthness is not something we can validate.
let me google first i wanna figure this out on my own
Is it a fact that the sun will rise tomorrow?
no
but it iwll
what if an astroid comes out of left field
small chance
but their is a chance
oh you just got me hyped on this one
i dont no poopie about that subject but this is why i joinied this math squad
these are the elite
im in recovery and the only thing that satisfies the same urge is trying to understand or figure out some truth
and math is th eonly way to discover that truth
are you asking if nonorientable spaces are real or not
am i even asking that question correctly
whats considered a mobius strip? time?
recording tape
i def want to start understanding some super symmetry and Shannon coding
i know theirs no program code in the foundations of life but theirs some sort of compression math at the bassis of life i thikn
This is circular, itās impossible to give an example a fact without evidence if you consider evidence to be the thing needed for fact
But in fact this question sits firmly in the land of philosophy/logic. Say evidence is given, we need a certain amount of evidence to say that something is fact (if not I could provide a single example and give āgod existsā as a fact). How do we come up with a notion of how much evidence is needed? Is the amount of evidence needed to prove something is a fact itself a fact? Ie. Is it a fact that having say, a p value less than 10^{-17}, guarantees that something is a fact?
how are you going to prove that gravity will continue to exist in the future
if you get too hung up with your evidence requirements you can't do anything
You could of course define this, say a fact is something with xyz statistical properties, but how would that be well grounded
Yeah, exactly my point
But how do you ground that? And what evidence do you consider significant?
but yes how to find that equation though
theirs got to be a way to be a spectrum
like heat
It doesn't necessarily have to be an equation I think, but it's hard to think of something that would make sense
or pH
What about them?
well the more evidence the more factual right so... wait now factual is like infinity
is fact unobtainable?
bc if it was then it would be law
Depends on what you mean I guess
well it freaked me out when i discovred all memory is subjective
The key word underlying this that you haven't mentioned yet is falsifiability of course. We need not evidence, but falsifiable evidence
word well thats wht i love wsa it einstein or who said
"everything is true until its proven false?
but then we record something
theres fact
now if our memory = the recording
is our memory fact?
But again, I think you'll run into some definition pushing no matter what, until you run into logic in which case you have to contend with incompleteness
video tape*
I'm not so sure math is the place to derive knowledge of what fact is either way. Math doesn't operate like the rest of the world, we can state the axioms we're assuming and definitions we're using. That's not exactly doable outside math or a similar construction
theirs gotta be a way to somehow capture old light and reflect it to show and older time and then some how find a way to access that old lighting
thats what im trying to prove is that we can connect math to everything somehow
bc if i can make addiction mathematical
i can prove an answer
I have ADD

just hear me out
Of course you can connect math to whatever you want, the structure is abstracted, it's meant for you to be able to plug basically anything in. But getting an accurate representation, or somehow creating a mathematical structure which matches the underlying structure of what you're trying to model to prove anything about whatever you're modeling, extremely hard
it migtgh sound crazy but i got math behind it
Doing it for everything, not just extremely hard but completely unfeasible
And you would definitely not be proving anything about the underlying thing, just the mathematical abstraction you've plugged the thing into
if thats true than james gates jr is gonna be dissapointed bc if somehow we are in a simulation then it all has to be defined mathematically
Why? Where is evidence that it's mathematical?
Right, say you want to model the velocity of an rc car being controlled by a person. What kind of model can you make that would reliably predict the kind of inputs they would make?
We've gotten lucky so far maybe, but have no way to know we will remain so lucky
physics is th ebackbone of eveyrhtighn
and math is the backbone of physics
Is it?
Maybe see how much physics we just cannot describe mathematically yet and consider that we've built up a lot of math to handle problems in physics
Proven what?
You cannot prove that...
It is honestly amazing the extent that physicists have been able to model our physical world through the use of mathematics, but like Jason said, there are certain things that are nigh impossible to describe using math as of right now
P vs NP
What does that have to do with anything?
ive heard that question 20 times haha thats the point
how are we supposed to describe the universe with math when we cant even describe math with math
Lol
thats what im trying to prover

help
Are you quoting hilbert?
help me disprove
ok proover

-Jaden Smith
mike tyson
really tempted to misapply incompleteness here
i have a lateral speech impetiment
I already did
dang
Maybe you would find it interesting to work with a local physicist or physics/mathematics professor?
i got owned
an inconsistent formal system is complete š
I also applied the halting problem
mom sweares i dont have a speech impediment... tell that to the people that need to put windshield wipers on their glasses whent they stand in front of me when i speak
anyway what does this have to do with books
Are you an under-division undergrad?
i attended WPI for a year and then life obstacles swalloed me like black hole
i just read a lot and i like math
I find it so funny that you semi quoted Hilbert while advocating for a program similar to the one he advocated for 100 years ago
Have you learned math past analysis?
Im so confused. Where in Dummit & Foote is all of this?
but im in recovery from addcition and math actually help settles it
like poepl like watching bob ross
i enjoy math
who did me?
Yeah
If you haven't checked out his channel, you might find Grant's channel 3blue1brown to be interesting
Then do more math m8! If you enjoy it surely none of us will stop you
i wanted to find a team of friends to like make a book club but do a math club
maybe tackle a textbook
Which textbook?
Maybe you could make a discord server? You could also use it as an organizer for your ideas
He said
"Wir müssen wissen, wir werden wissen!"
Which means roughly "we must know
we will know"
i wanan also prove college is striaght poopie caca
I'm pretty busy atm but there's one I'm reading outside classes if you're interested in probability theory
you dont need a rich capaltisist to sign a piece of a paper to deem us worthy
got math to prove t hat
if theres rich capitalists in charge of schools why are so many of them underfunded

thats hilarious i souded like that when braces bc i had a speech impediment and i speak english from new york but all i did was spit and make noises"
Just wanted to say, I'm really liking Anton's Calculus
they take that money and buy cocaine and hookers
or in jeffery epsteins case rapes little kids
...
hey someone gotta stand up but move on quicly haha
poop those people in power too
o no cursing
damn sorry
can i delete that
i mean my point stands, most unis are nonprofit and barely manage to stay afloat
hey, does anyone have recommendations for resources for learning statistics?
while the TOP officials (like, the president) do tend to make $500k-1 million a year, im not sure thats "rich capitalist" territory
though certainly very wealthy
the bigger problem isnt a single individual and more general administrative bloat
i just with evolution colleges are optional but should dicate someones career
like ive been watching trig and geo and logs and exponets on youtube
@gray gazelle stats is weird because it's kind of taught in 3 different ways depending on the students' mathematical background
now i gunateee bc i love math id outdo any kid that just went thru college barely putting in effort
do you want calculus-based? algebra-based? measure-theoretic?
calculus-based
Mathematical Proofs: A Transition to Advanced Mathematics by Chartrand, Polimeni, and Zhang
i wanted to start with that maybe?
my uni truncates statistics into a 3-week course, placed at the end of calc 2
that's an ok book yes seraph
my research tells me any beginner can start here
do you agree?
Yes
alright, admittedly im not too familiar with common textbooks there
hm
i know the applied-stats people at my university love Field's Discovering Stats using R
and then when u want to just go pick up any linear algebra textbook to continue
as an intro text
but ive never read it/taken a course in the subject so idk how good it is
ok so dont dwell or spend to much time just get a jist for it and understand it and when i feel comfy then just moveon?
i would use the textbook provided by my professor, but itās unnecessarily convoluted and requires that we write his examples in it
Gilbert Strang's linear algebra video lectures on mitOCW are very nice
yeah i mean it's not a whole lot of material imo but you can do whatever
don't dwell yes
is there a yt channel that uploads/has uploaded good videos for statistics?
Elementary Linear Algebra by Howard Anton or Linear Algebra by Friedgber, Insel, and Spence
the latter is what im reading rn :3
idk how the other one is
i can vouch for the second one lol
the latter? can you send the full name and author
"the latter" means "the last in a list"
i just watched a few youtube channels of how to begin math and i made lists of all the texts books they suggested
.
(usually the second in a list of two)
and then i made a tree of which ones were repeated in the videos bc clealry thoses are the better ones
he was referring to the book that metal is reading
not gonna like my dopamine levels are off the charts im excited here fellow mathemticans... i want to make archmedes proud
thats my dude
oh... i was thinking clatter then thought santa landing on my roof"
thank you
haha what you mean math doesnt bring you that excitment?
no, not at all lol
Yes same here
ahh so read infinte powers by steve strogatz
i need to finish calc 2 and take discrete mathematics and linear algebra for my major
?
calc 2 is the most difficult of the calcs right
itās a curve ball, yes
calc is so dope bc its like the language of gods
i feel as if the later courses would be easier, given that they expand on the topics presented in calc 2
but i wouldnāt consider it particularly difficult if you study for it
word calc three is just the Z axis included
not entirely
i found precalc and calc 2 to be most difficult
you have to solve nth-degree integrals in calc 3 and beyond
those donāt seem fun, imho
pre-calc was undeniably more difficult than calc 1 is
but i also found it more useful than i do calc 1 and 2
navigation and logic were my 2 favorite topics
Cassella Berger is sort of the standard calc based math stats book
precalc is way more useful bc its a little of everything
But itās also not really great, for me at least. Most people like it
calc 1 i loved bc it was like usiung a quality rollerball gel pen touching a piece of parchment
it was so smooth and easy to understand
then boom
all hopes and dreams sodomizing me when entering calc 2
like "oh you thought you new math take your seat little bitch"
ok in order to advance to understand symmetry and super symetry and string and super string... do you need to know stats?
Haha mayybeeeee? Iām not the person to ask. Probability, sure, stats idk
i wanna learn how to draw Adinkras
whats the quote he said? haha
i have not learned that never even heard of it
that would be awesome
im about to read all about david hilbert
wow Principles Of Mathematical Logic i downloaded
by hilbert looks awesome
there are better mathematical logic books im sure
Very important topic, people here seem to like Taoās book on analysis
im just gonna type Tao's book on analysis into google and it should pop up?
@deft sedge Yes, google "tao analysis 1", it should come up. It's a great book, Im reading through it on a spare time basis. It doesnt assume anything, but some mathematical maturity will make the read easier (analysis is usually not taught in 1st semester). As title suggest, there is also a sequel
Also, the concepts will be better motivated after having learned calculus
Very sorry for the late reply! I did take math methods. For some background Iām a medical student who did physics as an undergrad, but Iām still passionate about physics and would like to continue self study as far as I possibly can. An idealized āend goalā would be the mathematics necessary to truly understand the edges of our modern physics, so quite far into the future. I hope that provides adequate background. Iām looking to essentially continue building on what I already know. I also have a pocket love for math as well, so widening my general base of knowledge feels rewarding ultimately.
there are more advanced methods books as well Hassani - Mathematical Physics comes to mind
I see, I will check into it. My math methods course went off of professor notes almost entirely, so I'm not really familiar with the books for it. I will look into it if they continue, in that case. š
Frankel - Geometry Of Physics is also pretty interesting
yeah my methods course in university was mostly off of the professors notes with boas for the problems
methods is pretty wide depending on what you are preparing people for
so what's actually covered is pretty individualized
Yeah, I could see that. The graduate program where I did my undergrad was largely solid state based and was probably influenced by that. The Geometry of Physics is a book I have not heard of and seems very interesting, so thank you for the recommendation. I will look into it!
reccs for homological algebra?
weibel + errata list
thanks, bro

good morning everyone, is it possible to get some recommendations?
i really need to get better at the "maths" language (not sure what it's actually called if it even got a name)
but the kind that looks like this or similar Z={na | nāZ}
i never had any focus on this kind of writing systems in my classes until i hit abstract algebra... So if anyone knows any good books, articles or something for practice i would greatly appreciate it
maybe look at the first few chapters of velleman's how to prove it
or the sets chapter of #book-recommendations message
thank you mate!
Halmosā āNaive Set Theoryā is another popular choice, but give Velleman a look first for sure
Can someone recommend a book about David himbert preferably one that is about logic/exponents and then one about a different topic of math that involves some form of Algebra or calc or trig or after calc
anyone have good books on stochastic calculus?
@pulsar geode : Is it for finance?
david Hilbert*
honestly, just wanted to learn more math, but possibly finance applications later on
so id prioritize quality of book over applications
I have a few, what level? Ie. stochastic calculus or analysis
Shreve Stochastic Calculus for Finance is very popular for the stoch calc side of things, Iām using Le Gall right now for the analysis side
What about 'Stochastic Calculus and Financial Applications by J. Michael Steele'
Pretty great, youāll see it referenced all the time too so it wouldnāt be a bad thing to get familiar with the layout
For some reason I equate it with Williamās book on probability, another great book at the level of Durrett (ie. use it before Steele)
Is there an introductory number theory book that is good on intuition? I have no intuition for number theory
@pale linden Copied - intuition in any subject of mathematics is a skill which can only acquired only though thorough exposure to that particular subject, by familiarising oneself with common proof techniques (to that subject/field) and by working through many toy problems (exercises, if you wish). As such, nothing is "intuitively clear" to novices, and this holds for experienced mathematicians approaching an entirely new subject for the first time, too.
Stillwell has a book, havenāt read it but heās an amazing ug author so check it out
Alright! That's a fair point! But some authors are better at conveying the intuition of what you're doing rather than just presenting formalism
Thanks for the rec
im about to begin Mathematical Proofs: A Transition to Advanced Mathematics (4th Edition) (Chartrand, Polimeni, Zhang)
anyone have any suggestions or advice or want to join
@pale linden http://illustratedtheoryofnumbers.com/ might be the kind of thing if you are a visual thinker
if i wanted to learn super string theroy and super symmetry what are the text books starting with calc 3...i would use to self teach myself?
like what order to reach that destination
imo that's more something you'd get help with on a physics server
baez has some textbooks up to string theory
@gray gazelle nt book look sick
its like the number theory version of visual complex analysis/visual group theory
the python is more an add on later
the book doesnt have python from what i recall
but he added it on his site
speaking of visual complex analysis though
look whats coming out this year: https://press.princeton.edu/books/paperback/9780691203706/visual-differential-geometry-and-forms
Ooh
I should try out his complex analysis book
I read ahlfors but I still dont know any CA 
i just read chap 0 in mathematical proofs a transition to advance math by zhang and two others
wow
like mathewmaticans know how to write
shit just got me hyped
I feel like I know some basic diff geo but don't know how to use it well. This book looks interesting
he offers the first undergraduate introduction to differential forms that treats advanced topics in an intuitive and geometrical manner.
"the first" :sully:

looks neat
thanks for sharing 
have you read his Visual Complex Analysis book?
nah
really gave a bunch of insight into the branch cuts and stuff that my complex variables course never did
I'm gonna read that book, just need to rememebr when I have time
I am a very visual thinker
I have trouble thinking of things without some kind of visual
So there are visual CA and visual group theory books too??
yes
I'm in an abstract algebra course rn and the visual group theory book might be really useful!
Tristan Needham - Visual Complex Analysis, Nathan Carter - Visual Group Theory
there's a set of lecture notes that has a lot of the visualizations too
lemme find the llink
goes along with the visual group theory book
:D thanks!!
Oh there's a second complex analysis book with more colour: Wegert - Visual Complex Functions
sidenote, but what exactly is the difference between an introductory group theory course and an introductory abstract algebra course? I get the impression the latter deal so much with groups its essentially the same thing
the group theory book looks neat
i don't know what the difference is between them having never taken a course on that
sometimes there's a group theory for physicists course at some schools that focuses in on the stuff physicists needs and is probably less rigorous
They are commonly the same thing? Haha
As always refer to the syllabus for these tiny differences between courses
Okay, you confirmed my suspicion though
ie the physicists approach: https://courses.physics.ucsd.edu/2016/Spring/physics220/LECTURES/GROUP_THEORY.pdf
"1.1 Disclaimer
This is a course on applications of group theory to physics, with a strong bias toward condensed matter
physics, which, after all, is the very best kind of physics. Abstract group theory is a province of mathematics, and math books on the subject are filled with formal proofs, often rendered opaque due to the
efficient use of mathematical notation, replete with symbols such as ā©, ā, ā, ā, ā³, ā,
c , ā , ā„, āø, ā£, etc. In
this course I will keep the formal proofs to a minimum, invoking them only when they are particularly
simple or instructive. I will try to make up for it by including some good jokes. If you want to see the
formal proofs, check out some of the texts listed in Chapter 0."
typical physicist
not really
This dude literally just wanted to name a section ,"crystal math"
Hehe crystal meth 
haha lattices
he's got jokes all the way through
"This is possible only when k ā āā¦Ė lies on the boundary of the first Brillouin zone, for otherwise the vectors Kg and Kh are too short to be reciprocal lattice vectors[32]"
"32 My childhood dreams of becoming a reciprocal lattice vector were dashed for the same reason"
What are your top math books?
"question closed as too broad"
I don't really keep a list of favorites if that's what you're asking
This has become another stackmathexchange
This has become another stackexchangemath.
This has become another mathstackexchange.
Another stackmathexchange this has become.
Basic Maths For Dummies by Colin Beveridge is my favourite. I haven't yet understood all the topics bcz of complexity.
Become another stackexchangemath this has.
What Yodha says?
Is this sarcasm?
btw fun fact: you can jumble up the words in english sentences and usually still figure out what they mean
you do that with math writing and it's gibberish
Isn't it same for all language? At least for my mother tongue it's true.
most languages yes
there's a lot of redundancy built into natural languages
What's the best probability book that is measure-theoretic? I plan to go into some Machine learning stuff in the future and I am building up my maths foundation.
On another note, should I also get a book about Manifolds? I'm still ignorant about ML tbh. I want to do applications but I'm not confident in my maths yet.
@wise vine Machine Learning: A Probabilistic Perspective, by Kevin Murphy?
book for real analysis?
Terrence Tao's Analysis Volume I and II
Pugh doesn't spend like 7 million years on peano axioms
Understanding Analysis by Stephen Abbot
Can we add a free book(legal) sub channel with this channel? So that we can point them to the ppl?
Ross, Elementary Analysis
I am starting to like Springer books š
if you have no proofs background Lay - Analysis With An Introduction To Proof is gentle
not rlly one can usually decipher errors
You won't need anything beyond early undergrad math if you are only concerned with the implementations
I'm interested in the theory as well. And also I like the rigor in maths textbooks.
You definitely donāt need measure theoretic prob for ml, though something like āthe elements of distribution theoryā by Severini would be quite good for book like Murphy (or Bishop, which is my preference). Severini isnāt measure theoretic, but rather focuses on those elements of probability that are used often in statistics and machine learning (itās about masters level, so not super introductory)
I already know some measure theory from Tao and Stein though. That's why I asked what's a good measure-theoretic probability book.
Gotcha, in this case my rec actually wouldnāt change, Severini has little overlap with traditional measure theoretic prob books, so itās kind of its own unique beast rather than something you read to avoid measure theory.
You do need measure theory for ML,
If you are looking to go into research
Check out the book "Foundations of Machine Learning"
That book is really rough, the lines of thought are algorithmic more than mathematic imo which makes it tricky with a math background
For measure theoretic Durrett is standard and itās pretty well written, Billingsley is a bit more thorough but I have not used it. For the PhD class we used Dembo and that was very rough, big jump from big Rudin to Dembo in difficulty
Well what do you think about the one recommended in #book?
It's more introductory, probably suited for undergrad
Severini would also be more useful for FML, and the author expects a background in convex optimization and info theory. Iād say read it after an ISL or even ESL
Which one?
"Measures, integrals and martingles"
Williams?
R L Schilling
Iāve heard itās basically the best book at this level but I have only checked out some chapters so I canāt say
Williams that is
Hmm, I am asking about more books than I could read š¦
Is it good to spend 12 hours straight in Tao on the weekend(If I am not bored)?
Or should I split it across multiple days?
If you can, then why not?
I am asking about others experience who spend huge amount of time on such texts at a go. Will it make me less efficient in absorbing?
I have hard copy of 'Euclid's Window: The Story of Geometry from Parallel Lines to Hyperspace' . Slow for me.
Multiple days! Thereās lots of research showing that spreading study time over days is better than all at once
Donāt know much if anything about schilling
Also active recall, Iāve set up pages in each class where Iāve asked questions about all the important results so I can go back through them later and try and answer them. Below the questions are the answers so I can study them again if I really forgot
Looking at the table of contents it seems a little all over the place to me. Maybe that's not a bad thing, but it's definitely nonstandard
My book. But why is it 'trim'?
Hmm, I hope that doesnt mean some trimming. Number of pages are same as pdf.
I think that's one of the publishers or something
Page quality is extremely good. 'Springer' word missing in the entire book.
Trim looks like an abbreviation
Yea, got it -- trim = 'Text and Reading In Mathematics' š
Lol
TRIM is a collaboration book series by HBA and Springer. The distribution in (atleast) the east is handled by HBA, and afaik (atleast) in the US by Springer.
Could anyone tell me by looking at https://www.ias.ac.in/article/fulltext/reso/024/01/0029-0050, is the journal good to follow. The journal has mixture of physics + maths + biology
it's unlikely you can tell the quality of a journal from a single article
unless it's really really really bad
But you could say about the publisher by looking at how good are they in choosing?
particular things I'd look for: is the publisher good/respected? what is the impact factor of this journal? are they on a list of predatory journals? etc.
Maybe we can judge Ann Math with this article
https://annals.math.princeton.edu/2003/158-3/p04
It's very complex. Ofcourse to me.
im gonna say based off that one article
its not a real journal and it has terrible formatting standards, ignoring even the most basic of normal academic formatting
i.e. it looks like it was made in Word
based
I mean that paper looks intersting @subtle siren
That's from most rated uni of India
idk what to tell you its like
pop math with crank formatting
i didnt bother to evaluate correctness, im sure its fine, but its not good
Why is that lol
I only said objective stuff about it.
The journal article @gray gazelle linked is from a journal called Resonance - Journal of Science Education and its published by the Indian Academy of Sciences and co-published by Springer. "The journalās objective therefore is targeted primarily at science education for undergraduate students and teachers and focuses on enriching the processes of teaching and learning science thereby stimulating science education in the country."
The topics are not limited to mathematics; "The journal invites articles in various branches of science -- physics, chemistry, biology, mathematics, computer science and engineering and emphasizes on a lucid style that will attract readers from diverse backgrounds."
https://www.ias.ac.in/Journals/Resonance_ā_Journal_of_Science_Education/
From what I can tell it's not a journal in the research sense, its more like a magazine for undergrads.
^That's a good look at things.
The standard arxiv preprint format is the best.
Really weird request, but is there a short paper on like visual functional analysis? Trying to think of how to represent an operator visually effectively
Obviously the natural way is to just view how it acts on the space of continuous functions, similar-ish to how we visualize GPs when dealing with regression. Just curious to see if there was an exposition taking this route somewhere
are there any textbooks on algebraic topology that
are easier on the point-set topology side?
i just finished point-set but idk i dont feel so confident yet
and i want to try learinng at
i also learned some on banach spaces and hilbert spaces if that helps
if you understand french, there is this book
idk how you will feel about though
but strengthening yourself in point-set topology isn't a better option for now?
check this one out too
i dont
i mean idk how should i strengthen my self in point-set
and i ugessed if i learnt some AT it would strengthen by force
ig
@pine igloo
this doesnt have as much problems tho
the jp may
my best guess is see if something written by a physicist has a bunch of diagrams
i don't know if this book is any good:
Shima - Functional Analysis For Physics And Engineering
does have diagrams though
Shima seems to have a book for mathematical methods for physics and engineering. Might be the same level and depth of concepts covered in a more popular math methods for physics and engineering which I believe is Riley et al.
@gray gazelle
Thanks, Iāll check it out!
@marble rock i read a little bit of rotman's intro to AT and liked it. Maybe you could give that a try
ty
not rlly lol point set is like just set theory at kinda jus assume sufficiently nice spaces half the time
there isnt too too much in point set to really care about tbh
yea i figured
i only like used sets when learning point-set
and talked about properties of sets ,
connected/compact
etc
but i still dont know how like people actually did AT b4 general topology
what were they talking about
all you really need tbh is like compactness continuity and appropriate notions of connectness tbh
say i know about those topics with some seperation axioms and weirestrass approximation theorem
can i read hatcher
( with algebra )
can i read rotman with what i said
i am not that into pictures honestly
and polyhedra and shit gross
XD
@calm crane
iirc rotman is pretty simple
tbh
my advice is dont be scared
just read
if you realize it's too hard
then figure what prereq you're missing
theres no harm in seeing what a area has to offer
cuz nowadays books are free
its not about scared as much
i dont know when im supposed to know if im good enough at this topic to move on
cuz sometimes i struggle with problems etc
some level
is good
i like pictures but im not INTO them
like i dont want ot prove shit with pictures
or having pictures instead of things im used to with math
how can u be
not rigorousu
uh oh
like for example saying a homotopy exists
by a picture?
but not explcitily stating the homotopy
Dieck - Algebraic Topology has no pictures unless you count diagrams
commutative diagrams that is
Btw, maybe look at Follandās (the analysis text) chapter on topology and do al the problems? Itās basically a crash course on point set topology
Also, @gray gazelle Fomenko and Fuchs? Really? I thought that book was really advanced looking at the ToC, could you actually learn the content from it? (Genuinely asking btw, I will inevitably have to learn AT for real rather than at the level of the bs class I took and am curious)
no he has square homotopy diagrams
like bottom right side is the first map and left top side is the second map and the square is a htpy between them
yea
i think the only example i can recall off the top of my head is him showing that smth is a natural transformation
htpys between maps yield a natural transformation between the functors under the fundamental groupoid or smth
Why not just read Lee's Topological manifolds? The first chapters covers the necesseary topology in a pretty compact way, and the second part of the book will cover the fundamental topics of AT. It was enough for my intro course in AT (even though Hatcher was formally the course book).
It's also a great book which prepares you for another well-regarded book - smooth manifolds by the same author.
that seems fine for a preliminary pass through but id be pretty wary of it if your goal is just to learn AT
tho if your goal is to learn point set in some depth with some AT as a bonus that seems nice
What I don't like about Hatcher is that I feel like I'm supposed to understand the concepts by reading all the examples. But I don't.
it is definitely a very geometrical book ĀÆ_(ć)_/ĀÆ
but there are other options
bredon does AT as well with a more geometric slant
Most of the examples I can hardly understand.
geometric as in like
it does some geometry too lol, its less visual than hatcher
yeah idk i feel like working out the examples and drawing diagrams is how you develop ur visual intuition
I read the first like 4-ish sections of hatcher before I lost my motivation
one day I will
but not soon š
galois correspondance for coverings? oh u mean an equivalence between the category of covers of B and the transport category of B?

Even the last chapters of Munkres covers fundamental AT topics. It's probably better to start learning AT in such a book, as a natural successor after basic topology. And only then move on to dedicated AT book.
I have tried several AT books, I never found one that I like
idk if i agree with that tbh
for one thing thats a lot of time learning point set that i dont think is necessary for AT if u just want to learn AT
or if uve already taken a point set course
to be fair point set and at are very different beasts
like, I wouldn't really call point set required reading to do AT
as long as you understand the basics
AT is like a hard boss in a video game point set is like a boss in a video game with too much health and a sleep spell
actually the putting you to sleep is literal
Yes, you can probably skip many chapters. Personally I just learned AT concepts much better from Lee and Munkres than any AT book I tried

idk i think there are a lot of good AT books with a lot of different approaches
you can probably find something
spanier, tom dieck, hatcher, bredon, uhh
topology and groupoids 
why read AT when you could just reinvent the field yourself independently of literature
just figure it out lol

SO TRUE!!!!!
tbf there is a very natural progression from htpy to algebra if u are category brained
did you... study algebra moth
based
im better at algebra than i am at AT
I just assumed you did AT and picked everything up lol
I read "category braindead" first
lol
fomenko and fuchs seems based af
i will probably try the latter half of the book once i finish bredon
idk how much overlap there will be but bredon doesnt really do spectral sequences
wait no why did i say i did AT first i did algebra first
jacobson
sry my brain died
Im probably not going any deeper into AT than the intro course anyways... Homology was just a pain


