#book-recommendations
1 messages · Page 273 of 1
If your not looking for rigor, paul online math notes has a calculus 3 course or the multivariable chapters in https://www.whitman.edu/mathematics/multivariable/multivariable.pdf.
That link above is similar to Stewart's calculus book but it's more suitable for self study.
is it just me but I feel like spivak is overrated
I don't really get what all the buzz is about
like why does the section on real sequences only come up at the end?
because they aren't as relevant until you start doing proper analysis
but it is an analysis textbook?
you wouldn't study the definition of continuity in a first course on calculus
It’s not an analysis textbook in any sense.
It would either be a hard first course or a reasonable second course in calculus
For example someone might take AP calc in highschool and then take a spivak based class in college.
This was pretty common at my undergrad
Same at my uni, although the course wasn't strictly based on Spivak. Incoming students had taken calculus in school, while the calculus course in first year was a precursor to analysis with some formal definitions and proofs.
Any well regarded books on probability?
Measure theoretic or no?
For measure theoretic Durrett seems to be the standard and it's p good
What is the difference between Resnick and Durrett
Is it Friendly actually?
yeah
its intended for a non mathematical audience
very much focused on exploration
Woah.
It works well with non Calculus prerequisites and is Not very rigorous but still covers elementary number Theory Well and makes it strong?
@stray veldt.
i dont know what "makes it strong" means
it has no calculus prereq
its a nice book, i havent read it fully
it approaches number theory in a way similar to what fermat would have done
Loads of advanced math have no calculus requirements
Algebraic number theory is almost completely calc free
Topology is calc free
Set theory / logic too i think
Yea, Anything that doesn't have anything to do with analysis is calc free
Also analysis night be considered calc free?

I mean calculus is technically calc free
Isn't analysis calculus but more pure math
Because you can learn calc without knowing calc
I am completely lost on what calc free means
did you do any algebraic nt
Well,No

Very nice
if you want to do interesting things
Ok,makes sense
lots of arithmetical data is encoded in certain zeta and L functions
But I don't get why you can't just bypass calc and just start complex

You need calculus to do many things w complex analysis
I mean most of the major theorems in complex analysis involve integrals for starters
True,You can just look up definitions tho
Which is exactly why I am confused about "calculus free"
What does calculus mean exactly
Lesser analysis? Tricks from analysis engineers borrowed?
I'd guess you probably will be very confused if you don't at least know the prereqs / basics like what's an integral
If you try to learn analysis without calc
Recommend me an interesting book with topology flavour (no AT)
Boy Boy worth a try.
Well but Analysis and Abstract Algebra and Linear Algebra and stuff.
Bahahahha.
BAHAHAA.
Yes I am needy I Need Mathematics Knowledge And Wealth.
Tell Me about them sensei.
I Like yours words funny man.
Sheesh the book Loch Suggested Is worth simping on
.
OH GOD ON LOOKING THIS BOOK IT SEEMS SO PERFECT LIKE.
AAAA I Want it now.
@stray veldt Can I DM?

What book did he suggest?
hey folks, I'm looking for a book or any other resources to familiarize myself with the type theory and main studies that are done in that area, any recommendation ?
This might be relevant:
thanks friend, I'm looking for something to help me get started and find my path, right now i'm a bit clueless. Also i'm interested to understand it from the mathematics side of it rather than programming side
Am looking forward to a calculus/linear algebra-based introductory probability and statistics textbook. Certainly no measure theory. I'm currently looking at Walpole's "Probability & Statistics for Engineers & Scientists" but I'm worried it might be a bit light on theory. Notably, it lacks a proof of the central limit theorem and also doesn't cover much on joint distributions.
How does probabilitycourse.com compare?
Because it's quite good
If that is too little stats you might want to try PSU's STAT 414 and 415, their notes are online
I went to have a look and it seems pretty neat. Thanks for the recommendation. I'll skim through it and see if I like it.
You might be able to find certain lecture notes online, but I'm not familiar with any.
anyone have any low prereq group theory books?
also, does anyone have a decent e-reader?
good ones with larger screens are pretty expensive
i like the ones by onyx boox, since they run android and you get a pretty good digital pen to annotate pdfs with
I own a kobo clara hd
So, I will start studying a bit of homological algebra this semester. I am currently thinking about reading either the book by Hilton-Stammbach or the one by Rotman. Has some of you read any of these books? What is your general opinion on them? Also, are there any books on this book you would recommend?
I know Weibel (iirc) has tons of mistakes throughout the book, so I am trying to avoid picking this one for a first course on homological algebra.
most introductory abstract algebra textbooks should have an introduction to the number theory needed for group theory
Hi, I was wondering if working through "Discrete Mathematics with Applications" by Susanna S. Epp would teach me proofs?
Because I have a discrete math class coming up and maybe I can kill two birds with one stone? Or would going through a different book be better to get a basic grasp of proofs?
the book seems to teach standard "intro proofs" stuff
@stray veldt so you think its sufficient for the basics then? I'll do that
i checked the pdf
its very thorough
like the first 500 pages are intro proofs
you can find shorter intros if you want, but you definitely dont need any additional stuff
hmm right
but
i just looked at the table of contents of artin and dummit/foote and they don't seem to have it?
could you recommend a book which does?
oh right my bad
i didnt look at that, i just skipped to see the actual chapters sorry
thank you
I was wondering if anyone had a good recommendation for a first course in statistics and a second course in statistics.
For background: I'm a graduate physics student and I've done a few semesters of quantum, as well as undergrad thermal physics and soon to start a thermodynamics of materials course.
I feel fairly comfortable with mathematics, but I just feel I have a lot of holes in my knowledge when it comes to statistics.
for your first course i can recommend OpenIntro stats which is free on their website
Casella and Berger's Statistical Inference is a classic and covers most of the basics. If you want a quick overview of a lot of topics there's All of Statistics from Wasserman but I don't recommend it as a primary textbook to study/learn from.
Does anyone know any good books on computational geometry?
think it might help you in the New World ?
Btw loch also has created his own intro to proofs, 50 pgs, which you can find under pinned either in #book-recommendations or #proofs-and-logic I think
they do
artin does have it
well not like an intro to nt stuff, but still there is modular arithmetic

bruh what the whole 14 week course is literally just the second chapter of artin
a watered down version
Is this like high school
Ooo
from aops
i can't take any college level classes like LA or anything bc the only formal class ive taken and will have credit for is high school geometry...
yeah
low means calc and set theory
alternatively i'd be fine with books for the prereqs of a better group theory book
You won’t need a low level Calc class to get through Pinter I don’t think.
I’m going through Pinter right now and it doesn’t seem to be using any calculus yet
And I don’t really expect it to cuz calculus is analysis territory
It may use things like sums and stuff that you have seen in calculus but calculus is all about functions and representing their behaviors the representations being some form of algebraic manipulation involved when we map domains to ranges
But you don’t really get that kind of abstraction in good depth until you get to analysis. I feel like the non rigorous Calc classes are just more memorizing things with mostly basic algebraic manipulation
algebra by artin
always
hmmmm looks good
plus the literal first link of it i clicked was the full book
sooooooo that's pretty cool
It’s not necessarily a first course in abstract algebra…
it literally is
Compared to Pinter it’s like a second look
pinters book is like
lower than a first look at abstract algebra type of course lol
anyhow yeah artin is good
dami has a good rant on all the popular books
this
Why would it be lower than a first look?
I guess you are comparing to a college level course and the content covered?
yeah
Oh ok gotcha
i mean depends on college ig
yeah the main thing is you are not gonna see a lot of the side topics in any book all covered in class
but what artin has as its "main content" chapters will be covered
But I skimmed it and it is very watered down
Fraleigh I remember peaking at that and I felt quite underwhelmed compared to Pinter in hindsight looking back
anyone knows a good book about linear algebra?
my knowledge context:
I know a little bit about dot products, I know what a matrix is and uhh, I know how to add them
that's pretty much it
someone's probably going to rec Linear Algebra Done Right or Linear Algebra Done Wrong so i'll just do it first
😎
thx
this one?
yeah
there's also Linear Algebra and its Applications
by strang
i think
which is (apparently) good for self-study
idk is this "applications" like, applied mathematics?
like, not applied to just problem solving, but to other things?
what book would you suggest for the grad real analysis required for narasimhan/schlag
just scrolling through the pdf i wouldn't say it's got much in the way of applied maths lmao
sure
I've heard this book is bad
and that friedberg-insel-spence is better
I'm between reading linear algebra done wrong and linear algebra and its applications
i mean
i myself would recommend algebra by artin if you're more familiar with proof-based maths
why not both
both are free online officially and easily, afaict
you can pick and choose
if a book explains something one way that you prefer, take that and abandon the rest
I am
then artin is great
it goes into other areas of algebra as well
like group theory and ring theory
but it contains all the linear algebra from a general first course as well
so I think I'll go to this one
I'm interested on these topics as well
good idea
wait
the artin book has that too?
huh
that's pretty cool
oh, and it has galois theory
oh fuck me this book is a lot more than i thought
can anyone answer this
hmm looking at it seems like a standard book on complex analysis will probs do
like honestly when you do riemann surface you dont need to remember that much of complex analysis
wait
complex analysis for complex analysis?
oh this book is your first intro to complex analysis?
lol sorry it looks like a second course to me
i would not recommend it for a first course
it basically looks like riemann surfaces and things that are like relevant to it
rather than just complex analysis
if that makes sense
hm
A concise course in complex
analysis and Riemann surfaces
Wilhelm Schlag
this one right
Schlag Complex is probably in principle "doable" for a first course in complex analysis in the sense of, he doesn't assume prior background in the subject
But you need to know some differential geometry, algebraic topology, and real analysis before going into it
And most people do a first course in complex analysis before they reach the point in their mathematical careers where they're ready for Schlag
Narasimhan only requires the real analysis bit
For that material I'd say first 19 chapters of "Real Analysis for Graduate Students" by Richard Bass is good
i mean even if u do the others first just looking at it i feel like you should do a different first course in Comp anal first
like the first 3 chapters dont seem sufficient to me for the basic complex analysis stuff
Hmm, which points do you think it misses?
i mean im just looking at the index and i dont see anything about the like, integration theorems and the build ups to it and etc ig
also its 58 pages for the first 3 chapters and they move to like, riemann surfaces
which idk i dont this is necessarily sufficient for this stuff?
1.6 is Cauchy theorems
What would be the complex analysis book to do after someone finishes baby rudin?
oh right winding number hmm makes sense
Honestly I think most complex analysis books are wayyyyy too drawn out lol
if i do like
algtop, diffgeom and some grad real analysis first
would schlag be good
Probably fine
dami might say yes and he may be right, but id reccomend instead to do like, say something like gamelin first, a more standard complex analysis book, and then a book on riemann surfaces
Narasimhan is a good intermediate
What are the opinions for stein complex analysis?
I think you have to learn alg top, homotopy theory, stable homotopy theory, computational homological algebra, and then infinity categories first
Then you’d be ready for some complex analysis
this is wrong dont listen to him
obv you need spectral sequences
in there
b4 complex analysis
And at least a few weeks of generalized homology theory
i think this is trolling
also ill say one thing allison, that it might be useful to like
do riemann surfaces before the full diff geo stuff
i think riemann surfaces is a very gentle intro to geo
atleast it was for me
I honestly think like
I should try to learn geometry in the mG style
At some point
I just don’t have time
And it’s not relevant
which is maybe why im not a fan of diff geo-> comp anal
:/
this depends on perspective ig, so riemann surfaces are super structured and also n=2 case right
so things are by and large easier to do on these
and then when you get to general manifolds its like
"ah so i am weakening this"
other people might like it the opposite way
where they learn the general theory and then see this specail case as a strenghtening
oh last 4 ch seem nice
but might be nice to see in a diff manifold book in all of the details ig
what book is that
would this be enough before lile
schlag
i mean right i think you want like, AT b4 diff geo too imo max
thats how my school does it
browder
mathematical analysis: an introduction
like first chapter of hatcher atleast
PD?
I think it’s nice to see the completely topological proof first
right see it in derham and also in singular ig is nice
oh should i do algebraic topology before that section then
but my school also does 1 ch of hatcher per semester
I think a lot of people teaching really structured manifold stuff
Tend to use machinery you just don’t need
And that messes w intuition
Like assuming stuff is smooth when you really don’t need it
like do first 10 chapters of browder
rotman algtop
last 4 chapters of browder
i wouldnt say it messes with intuition but i do think AT will help there
but also going upto PD in any AT book will take a while
so i understand if someone wants to like
learn some manifolds first
I'm gonna finish it for riehl anyway
probably will do riehl before getting into diffgeom stuff
One thing I will say is like
There’s no reason to plan much of this ahead of time
You really only need to know where you’re headed next
there is a need
yeah i always make a plan like this and it turns out there was like
10% of the plan that stayed the same
lol
because otherwise i get completely offtrack and do nothing
it is comforting to do tho ig
at least i have some structure
i swear i spend 80% of my time making plans and 20% studying
[current plan]
finish artin up to modules (probably skip a few sections on fields to get back to for galois theory)
browder up to ch10
hatcher's notes
rotman topology
riehl category theory
browder chapters 11-14
grad real analysis
schlag complex analysis
differential geometry
this may change
probably will change in fact
is there some sort of book reading clubs here for the above mentioned mathematics books
I'm sure you could set one up with people who are interested
well I want to learn automorphic forms and I have some knowledge about introductory analytic number theory
therefore I am going through books that come up my way
and the list is quite huge
It is hard to organize a reading group for a single book
It is basically impossible to do for more than one
well we could all share what books we have read/interested in and then we make groups for individual channel based on book names
like I can start with Introduction to analytic number theory by Tom Apostol
Oh Browder yeah that's what I mentioned
yeah
mine is
finish apostol calc til i’m done with sequences and series
abbott understanding analysis
(i’ll probably be doing a group theory course along w this)
hoffman kunze linalg
mendelson topology
munkres analysis on manifolds
a bit of artin algebra
lee topological, smooth and reimann manifolds series (supplemented by renteln manifolds tensors and forms and hatcher maybe)
idk if i need more prerequisites i’ll do it along the way ig
oh wait i forgot
i think i’ll do the lebesgue integral and fourier series chapter in apostol or rudin sometime after abbott and before munkres


i didnt read this many books during my whole undergrad 
100% not gonna go through like half of these i just like looking at textbooks full of symbols and things i dont understand
@grand thistle What book you have on abstract algebra?
artin's algebra
Thx
What a mood.
same honestly lol
sadge
based
Jacobson is stinky poo, too much English and the proofs are all clogged up with words
I have like 30 books on my to-read list
same ab
same
yeah totally just do every single proof in symbols without using words, how bad could it be
But like theres a balance, the amount of words make it an eyesore for me personally, I'm sure it's useful for a few folks
Any good higher math exposition books?
is hatcher's notes the same thing as the book "algebraic topology"?
Tbh the real issue I have is the unreadability of the pdf due to bad alignment and all the words make it tiresome to read 
pretty sure it’s just the brief notes on point set topology
Plus the LaTex rendering is blurry for some reason, fine Jacobson might be good... but my Jacobson is terrible

Have you tried ZL*b?
Ye
You need Basic Algebra 1, right?
any book that goes in depth on simple concepts like proof for the FOIL method, deriving formulas for volume, area of cone, pyramid ect ect
The scanned pdf is much better
Or it might be a DjVu
i need this because i realized in school they just made me memorize and now lately i actually got to udnerstanding stuff and want to see if i missed out on something before moving on to more advanced stuff
Those for volume and area can probably be found in calculus textbooks. For something that presents a more rigorous approach to algebra, maybe Lang's basic mathematics?
Thanks I will take a look into it
no it's his pointset notes
hey guys, can somebody provide me book to brush up highschool / uni level math
I am planning to apply uni sometimes this year; and I haven't brushed up for the past +10 years in my life
probably sth like stewart or thomas for calculus
@restive falcon ?
and an elementary linear algebra book maybe
but that will probably be covered in uni
yep
I can actually provide the course syllabus
Stewart is a terrible calculus book
oh
Thomas' Calculus book is much better
Stewart doesn't even cover inverse function theorem
Instead does an implicit differentiation trick to get around it
Is that following stewart
Yeah see how it doesn't have Inverse function theorem
That means you're following stewart
Unfortunately I am not sure about it
I got from the uni website
that I am planning to apply
That's an outline for stewart
It's an ok book
I have to teach my study group out of it for Calculus
Thomas' Calculus, by Joel Hass?
You are referring this one, right?
There's a University Calculus one
This one is high school?
pearson 
for-profit exam board 
That's the current(?) one
This is the one I learned from
It was pretty decent
I'm really not a fan of Stewart. The more I use it the more I hate it
I can give a try this book; my main objective is just to get my math at high school level again
within 5 months
I'm searching for a introductory book about Category Theory, with exercises if possible, that is not to fast or to harsh for a person with near zero experience in the domain
Oh, and if someone knows a good book about linear differential equations for someone who 1) hates doing it and 2) don't understand anything; that could help me 1) understand them 2) Maybe like them (that's optional), it would be awesome
the book I've heard is best is Riehl's Category Theory in Context
I'll take a look, thanks a lot
(I'm still looking for this)
Category Theory
Oh then riehl is a great choice
what do you think of kelley general topology?
Book recommendations on how to improve my mathematical logic?
Books recommendations on differential equations
at what level, and about ordinary, partial, linear, nonlinear, applied, numerical, ...?
Uhh I’m not totally sure.. but it’s after multi variable calculus.. I’ll see and tell if i find out more information on it
OK, then you probably want an introductory book on ordinary differential equations
Unfortunately I do not have a recommendation for that kind of book, but it's important to note that differential equation is a vast field.
So if you are trying to study it for a course, you'll need to target specifically whatever your course is trying to cover, as there aren't any clear standards.
I honestly didn’t realize it was so broad, I’ll try to ask my professor about what field the class covers
Thank you for the help mr chipmunk
A differential equation is any equation involving derivatives, so that is an incredibly broad range of equations.
also i think it would depend if ur DE class is proof based or a cookbook class (where you just learn how to solve some specific types of DEs and not much about why or how these methods work) 
Hey uh can anyone recommend books on introductory linear algebra
Any book recommendationd on math logic?
I've heard good things about enderton
Friedberg, Insel and spencer is great
and LADW is pretty good i have heard

can someone recommend me a book for coordinate geometry
i'm done with school lvl coordinate
so need a good book for competitive exams
which exam
i just want a book which can at the very least prepare me fully for Jee Mains ( indian exam )
its a tough exam so i need one which has good theory
another jee peasant
😔
u dont need much theory for mains
for geometry u need to do questions
not that i want to perform very well in mains
idc about it
i just want to learn it so a theory packed book would suffice
see the formulae from here https://drive.google.com/file/d/1YaG8E_79_NqnmERI62iycapgkFSHNLVP/view
i was just giving the standard for the book
idk
not sure
one thing im sure of is that i cant qualify mains this year with the prep ive done
so i'll just try getting better at what i like
ive heard that name
i'll try it thanks
u probably can
qualifying isnt particularly hard from what i understand

Cap

challenge and thrill has a pretty good coverage of analytic geometry
but just solving integrals would lead me nowhere
i never did a book on integration and i never want to
true
so i'll try coordinate geometry for a while
80+ theorems in a single chapter 😵💫
😵💫
so should i try SL Lonely for now ?
u can
It's a dated book lmao
~~if u want to qualify mains, that is just qualify it, that needs 90ish out of 300 marks, which i think is doable)
i'll try getting like, 150 marks in the next attempt
but that's as far as i can go
will try for Bitsat
and other exams available here
if u have the patience, try grinding chem
I have to give JEE 😢
i mean, u can get into iisc or iiser 
Going in just to fail seems counterproductive
understandable
I hope I get into my dream school 😢
thats what im hoping 😢
does anyone know of any good books on mathematical bio?
Not quite like what you’ll find for actual math books. I’ll have to get back to you on that one. I don’t want to suggest anything that is just insufficient in both breath and depth. Currently, that’s mostly how I feel about math bio books in the current state of things.
They’re more like “here’s some equations we are using that fit the pattern of data we collect from labs and clinical studies”
Take it from me and go through the pins and learn math the real way.
I suppose overall they could be ok if they match the project or research context your working with.
Focus on getting through Casella and Berger and try to get to Evans (I have not made it to Evans yet). Evans is a partial Diff Eq text that is considered GTM (graduate texts in math) level.
I am also gona try to make some headway through Brin & Stuck’s Dynamical Systems book at some point. Biology is a bunch of convoluted dynamical systems orchestrating together and eachother really so I suggest that text as well.
Oh and you probably want some foundational background in math to work through a text like Casella and Berger
Essentially you need to be good at statistics/probability, have intuition for Diff Eq on an abstract level, and then if you can handle more, be able to deconstruct complex systems
If you can do all of those things, there may be hope for you to do work in astrobiology
What book is Evans?
His partial Diff Eq book
I’m still working thru Casella and Berger and that book will take me a minute.
So my motivated interest in the topology + measure theory route is to really develop a unique angle of approach to get through this mix of content
Biology is the hardest of the sciences other than literally studying outer space and subatomic particle interactions
There’s a reason why a lot of mathematicians and physicists avoid biology. It’s either too hard, or the opportunity for them isn’t there
Right now I’m not quite doing biology research. I’m doing cognitive science focused research
My actual molecular biology research is sort of sitting on the back burner
I think I’ll be able to use it in the AGI project I’m involved in however at some point
Anyone have some favorite books from MIR? I was looking at some of the old geometry books and the problems are really high quality. I wonder if any of you know of some other good problem books in the old soviet style outside of geometry.
Not math but the 9(?) volume A Course in Theoretical Physics by Landau and Lifschitz was published by Mir originally.
does anyone have the solution list for Book of Proof?
i've been working my way thru the exercises and i'm fairly confident i have everything correct but would like to check
Astrobiology?
what sort of background is expected? I've got the regular undergrad background in ODE/PDE, probstat, and analysis
Not doing any research or a project, I'm just trying to get a look at the field
Go through The books I mentioned if your interested in being a mathematician that studies biology
Perfect. I'll check them out
Because that’s the road I’m taking
I've seen a couple things that make it seem like you can apply sort of
"economics" concepts and theory to mathmatical biology in some ways?
w/population models and stuff yeah?
Biology is the hardest science. Don’t assume that abstract mathematics doesn’t have its place
Correct
No I absolutely agree with you.
Biology has a lot of working economy intuition
I have a background in economics, and I'm sort of sick of the field in general, but I'd like to find a place to apply some of the things I've learned
I'm also doing some research in game theory which seems adjacent. It just seems like a field that exists at an intersection of a lot of the things I'm interested in, but I never gave it much thought until recently because I "didn't like biology when I took it in high school" but all I remember learning about is the cell cycle anyways
I would suggest you also study chemistry and physics to the point you have a comfortable foundation
makes sense
I probably don’t have the best foundation myself but it’s manageable and I can use math to reinforce it better overtime
Yep, I'm probably in a similar place to you. I have an ok math background for an undergrad but could always be better
I have a book called "Mathematical Biology: An introduction" by J.D Murray, if that means anything to you
I’ve got it archived. Again it’s more or less another reference book for using mostly statistical inference methods that have worked in clinical settings
The intuition of the methods aren’t really given much depth at all. So you don’t have much to go off of without going through a text like Casella and Berger
Labs are not always clinical settings but they usually are
C&B looks neat. I've already seen some of the stuff in there across various mathematical statistics/econometrics/stochastics courses but I'm also seeing a lot of things I've never really seen before
Try to see if you can breeze through it. There’s way harder books getting into stochastic processes and measure theory
Even probability
I'm in a first year PhD course on Stochastic Processes and MCMC right now. It's rough
Haha I bet
me, a junior in undergrad, when the professor says "you're a math PhD student, right?"
So you got a taste of the difficulty at least
Yeah. I have an ok(?) grade in the class right now but we haven't gotten our first midterms back so we'll see how that one turns out
I'm happy I'm taking it but wow it's a tough class compared to all my undergrad stuff
I think the main issue is that the way the material is presented in the “math bio” books is mainly designed for statisticians that are working with biological data.
This doesn’t mean the statisticians have a foundation in understanding biology to a certain degree which I feel hurts their credibility in the long run.
Also not every statistician is a go hard mathematician statistician I would assume.
So when your going through those types of books instead of books designed to present the mathematics as intuitively as necessary, a lot of abstraction you want to gauge is actually hidden from you
So in this kind of area of work, you really want to focus on go hard in math or physics, in my honest opinion
If you can do both, great. I don’t have the convenience to REALLY do both so I’m focusing on math. Physics is too much speculative jargon for me to sift through to manage a proper balance of the two and compared to how math is structured and going through physics texts is a different experience than going through math texts.
There’s a reason why “applied mathematics” is a thing. Cuz there is opportunities for people that didn’t get a chance to become math savants and commit to the field out of purity at an early age (I am saying this part as an absurd generalization for the humor points). But it’s almost impossible to get into a pure field now a days unless you are showing talent at a really young age.
Does anyone know a book fairly similar to this one?
I’ve picked it up from the library but I won’t have time to thoroughly work through it before I graduate and move on to somewhere else. Seems semi-difficult to find this exact volume, and I’m not really familiar with other books on ODEs of similar content
any books that prove the Chebotaerev density theorem?
I'm looking for books that have applications of L functions to arithmetic problems, in particular Chebotaerev density theorem
Differential dynamical systems by JD Meiss covers somewhat similar material and in a more straightforward fashion
Thank you, kindly. I will look into it :)
I take offense at this paragraph. I believe you are saying this due to the dearth of faculty positions. But can you truly say that most faculties who have made a meaningful contribution were guided into math at an early age? This is not the case from my observation at my university, I know a few professors who are some of the best mathematicians in my country and are a big deal in their fields who weren't brought into this field at a young age. Even the fresh hires at my uni definitely have profiles that don't require you to be a savant to have. Please don't undo the work of all the people doing outreach by making statements that would discourage the people who discovered the joy of math at a later age. I acknowledge your point of the fac positions being very few but this is also the case for applied departments when you adjust it for the supply, there will be people who were introduced to computing at such an early age that they would be gods at debugging and optimizing.
Sorry for the wall of text.
"If you don't have incredible intuition, you build it from scratch with examples, like me" - A top tier mathematician at my school who has like a billion pubs at annals of mathematics
It’s going to be nearly impossible to do work in a pure field even if you study math.
I study theoretical mathematics is what I’m saying because I believe it’s the only real way to study math even if what you do is applied focused. Don’t skimp out on the theory and doing the exercise problems in the theory books! That’s where you should be spending most of your time as a mathematician at least.
Fields are becoming so interconnected now outside and inside math that most of what mathematicians will be doing is computer science or data science related as well
Brb in 12 years to prove you wrong
I hope you do
My point is it’s very unlikely you’ll be doing pure math research for your entire career
Maybe around your prime you might have a shot
At some point you are probably gona work in the industry or with a team of programmers
Maybe, but I find it hard to fathom how someone doing analytic number theory or algebraic geometry would do applied work, but sure they can contribute tangentially
Cryptography and data science are very involved with mathematical intuition
It’s certainly not as difficult as the purity of the subjects you study but there is room there
The idea is you can use your insight to deconstruct problems outside of math
And you can use that as a stepping stone to do research in your area that’s more lined up with the purity of the subject if that’s what matters to you, but I think it’s important to be open minded about the odds weighed against wanting to stick to one route and not be open about how interdisciplinary routes can actually maximize your studies
It’s like me being stubborn about having to get into grad program when I should be open to the possibility that maybe that won’t work out and that shouldn’t demotivate my studies
It seems like you're viewing pure mathematics as something that can only be studied by the privileged few, and everybody else must do applied research, but I know for a fact there are many mathematicians who are neither superstars nor geniuses in early life who study pure mathematics
No you can study pure math but it’s hard to contribute new things
I am probably wording it terribly but I think the approach should be, study from the pure books and if you get a chance definitely contribute
But everything is so interconnected now with computer science and data science
You might not contribute to something that revolutionizes the field, but I simply know many colleagues, friends, etc, who just study small niche problems in pure mathematics and are able to receive some small amount of funding for it
I think they’re saying that it’s arguably harder to work in pure compared to applied? I also don’t know enough to have my own opinion on that
Correct
You can study pure and work in applied
I’m pretty sure anyway, since that’s what I’m trying to do
There are certainly some low-hanging fruit in applied math, but my experience would not suggest that it is intrinsically more difficult to do pure research
There are some big problems in pure mathematics that are impossibly difficult to tackle, but the average mathematician is not working on those things
Anyway I’m sorry for ramping up a storm. I really meant to say that it’s important to be open to working in applied if you can’t find work in pure math
Working and studying are two different things?
Right?
Lol
I'm speaking as a professional mathematician, so those are the same at that level. You work on the things you are studying.
But many applied mathematicians study from pure math books clearly
OK, but that is a different meaning of the word. It is common for a mathematician to say "I'm interesting in studying problems concerning..."
meaning that these are the problems that they are working on in their research
Oh studying problems vs studying a whole subject you mean
So like you would look into the problem but you can also get insight from a subject text
Well, either way, I mean for the two to be the same, in my above statements. I understand that they can mean different things in other contexts.
I'm just saying that, in my experience, it is not intrinsically more difficult to work/research in a pure field than an applied one.
Yea well I didn’t mean to mix things up earlier. I think it’s important to kinda be mindful that we should be open minded about how we choose to explore math and the potential to use it for work?
In fact, in my experience, there is actually a lot of scrutiny put on applied mathematical research because the metrics for what constitutes a worthwhile application can be a little more demanding, or discerning.
I would be curious to learn more about perspective on how people study math, whether they go through pure math books and do some or most of the exercises. Especially how they prioritize their time when they also do work which may not really relate to what they study directly.
Scrutiny that does not exist in pure mathematics, that is. For example, study of certain numerical algorithms can be heavily scrutinized if it does not translate to real-world computational performance gains, compared with existing algorithms.
At the graduate level, you can still learn a lot by just reading from books. But later on, it is difficult because usually most fields move fast enough that books have not yet been written.
I am also noticing there are many glorified engineers out there that think they understand mathematics but don’t really study mathematics, at least like some of us do going through the pure texts.
This sounds a bit scary but also exciting.
Also “numerical algorithms” is kind of a loaded term here? I’m sure some people are thinking of algorithms involving numerical methods.
I do not understand your question/statement.
What exactly would you consider a numerical algorithm as it seems like a loaded statement. If it’s even a complex computation, it can still qualify as a numerical algorithm. When I mean numerical methods, I’m talking about context limited to “numerical methods” level and themes books.
How often do applied mathematicians just work as engineers
It feels there are some parts of engineering that are just nice math
This is all just semantics I guess. You can count whatever you like as a "numerical algorithm", it is not perfectly defined. Same with the meaning of "applied mathematician" or "engineer".
Bredon cohomology wants to know your location
does anyone know a good linear algebra book for dummies?
i think linear algebra done wrong is really good
im using it rn
by treil
ohh!
would it be suitable for
like
a
10th grader?
I mean as long as u have some mathematical maturity
I’m in 9th grade
you can always crack open the book and try reading the first few pages
for linear algebra done wrong specifically it's available online for free right
asking this for my brother, but yeah he's pretty decent
oh
i like how much the book covers as well
ye it's a pretty comprehensive book
there is as well a book called "Linear Algebra for dummies"
it has all the normal stuff + some more advanced spectral theory and some multilinear (tensor) stuff
i dont think they meant linear algebra for dummies literally
there is one
lol
with that exact name
the "for dummies" series
oh
linear algebra done wrong, this seems better though
there's one for everything..?
damn
lol
yeah I think LADW is probably better
aight, thanks guys!
no problem
Looking for the most rigorous set theory book ever.
Don't
I guess Principia mathematica counts
I don't even know enough math to know what is 'rigorous set theory.'
Does https://en.wikipedia.org/wiki/Naive_Set_Theory_(book) count
Thanks for that. I've found the formalized axioms for proof solvers
Ah yes it's #foundations
But too hardcore to grasp
They can't too hardcore
The problem might be you might be misunderstanding your problem
What do your axioms look like
Maybe something will stick
I mean I read this old USSR book which has 5 axioms and some formula
if you struggle to understand the axioms used by proof assistants, i doubt 'most rigorous' is what you want
and they say its obvious that you can derrive this from these
halmos is indeed probably a good req for you
it does miss 1 axiom but w/e
to get deeper intuition
I feel like you're looking for intuition and mistaking this lack of intuition for lack of rigour
aint it the same?
Ok,This is like a highschooler trying for the olympics because they want to get a good grade in gym class
you get the details you feel the big picture
Nami's the most qualified I think, and he says you should look at the Halmos book (the one linked)
haha, sounds right. maybe looking for inspiration for the lacking discipline at the moment.
So I would listen to Nami
For sure
if intuition and rigour were the same thing, all grade school classes would be replaced by homotopy type theory.
isnt it about the broken bureaucracy? system is just the way it is.
99% of mathematicians don't go beyond naive set theory in foundations pov I think
for some reason, kids find things like 'numbers' and 'adding' and 'pictures' more intuitive than 'types' and 'topoi' and 'infty-1 categories'
no clue how.
in school they avoid logic and proofs, you just rote memorize.
Unironically,types are actually intuitive tho
when i found that it excist it cured my childhood trauma of learning shit i dont get
The first thing we do when teaching kids addition is get them to unlearn types such as apples and oranges
llol
To abstract 2apples + 2apples = 4apples and 2oranges + 2oranges = 4oranges
To statements like 2+2=4
Big math is against types

if youre truly ready for the most rigorous stuff you'd skip the textbooks and go to nlab
then read whatever nlab recommends

half-serious

brain will break, not smart enough, but what is nlab?
nlab 🙏
lambdaman you should start from the basics but viewed properly
For example how well do you "understand" addition?
Like deep down. Why does carrying work the way it does?
Not rhetorical
'tis the will of the one God, praise be!
Daniel C. Isaksen, A Cohomological Viewpoint on Elementary School Arithmetic, The American Mathematical Monthly, Vol. 109, No. 9 (Nov., 2002), pp. 796-805
@wicked trout try this out
(Kinda joking, though it is unironically a good intro to what it covers)
abstract algebra and operations that is what comes from memory. function with two arguments

carrying what is it ? i know currying from lambda calculus
When you add two numbers and carry the 1
i could not explain it rigorously, the nature works that way just
Yeah I'm mostly kidding about that paper, it explains carrying using some ridiculously fancy shit lol
sometimes complex shit inspires to search deeper.
Now that I think about it,carrying is incredibly arbitrary and so is our way of adding things
hello, do you recommend any book for statistic and probability from 0 ? i'm doing basic mathematic from serge lang but there are not in it
i need to get good knowledge in that to start university in some months
( i got close to 0 knowledges in that right now )
if you know a french book is a plus, but i'm fine with english book too
I liked Statistics by Freedman, Pisani and Purves a lot
yep, nice to see there's a french version too
thanks you
does it cover probability a lot too ?
yeah there's a fair bit of probability stuff too
later on, once you feel like you have a good grasp of basic stats/probability, I recommend Mathematical Statistics and Data Analysis by Rice
those two books should tide you over for most of undergraduate stats
Any recomendation for calc 1 books?
Spivak/Apostol/Courant are great, I'm partial to Spivak
If you want a more standard, Thomas' University Calculus is great
i wanna learn mathsssss!!
i wanna break free!
Wsg cuh
I've seen a book completely filled with proofs of Pythogorean theorem. I forgot it's name. Help!
You just vaguely stated that the book has proof of Pysthagoras' Theorem
How do expect ppl to know what book are you talking about with that little detail

I need a good introduction to game theory that includes studies on hirarcical cognitive reasoning. As little as math as possible would be good 👍
Game theory is very mathematical idk how much you can get away with no math hahaha
(I would give a rec but all the game theory texts I know are basically math textbooks)
That's cool what can you recommend?
I read a large part of this in undergrad and liked it
Thx
The Pythagorean Proposition https://www.amazon.com/Pythagorean-Proposition-Elisha-S-Loomis/dp/0873530365
Exactly, thank you so much!!
in this case it's like, the one book dedicated to proofs of the Pythagorean thm
can anyone recommend me a book on ODE?
what are the prerequisites to lee's introduction to topological manifolds ?
What kind of ODE? At what level?
yeah are you looking for a theoretical/qualitative theory kind of book or just something that teaches you how to solve ODE
Viorel Barbu,'s book entitled "Differential Equations"
ODEs of any order and at a first level. I just learned the basics ODES on Howard Anton book of calculus
I'd like both, but not too rigorous, I'm a physics student
I'll take a look at it, tks
It includes background from physics in the introduction
great
Anyone know any more recent books (preferably less rigorous, since I have that already) which covers much the same material as Mendelson's Introduction To Mathematical Logic?
Also, any good books which goes in depth into computability theory specifically would be nice too
If you understand everything in the appendix with a quick skim then you’re probably OK; some analysis knowledge also helps
@slim nacelle have any book recs to learn about special vals of L funcs
now that i think abt it this channel is prolly the place to post this
Hmmm from what perspective?
If you are able to find online copies of these books, there is nothing better than just looking at the first chapter of the book and you'll know immediately whether it seems like you have the prerequisites to read it
This is a gargantuan topic
i don't know how i didn't think of that
I don't know. What perspectives are there? I'm looking for an introduction. I just know the analytic class number formula
Rationality results, connections to Bloch-Kato and Beilinson’s conjectures, congruences, generalization to multiple L-values…
Hm
by any chance anyone has ebook for this https://lib.ugent.be/catalog/rug01:000005363
seems like we are at similar stage
Does anyone know a good book for learning 3D geometry? Like planes and such. Preferably with lots of problems.

hey book recommendations on complex analysis/
schlag 
the only reason i’m gonna use this is because it’s relatively short lol
@frosty girder i’m using rudin for single variable and munkres for multivariable
because it’s short

its very terse
we will find out
i did already
i was gonna use it as well
i switched to apostol coz it was easier to read
i will find out 
i've done abbott before doing rudin

its much smoother after that
well i have a few books on my list so worst case scenario, i’ll switch
i dont recc this for a few reasons
noice
ok
yes it's great it has picture of Axler's cat
there are like 4-5 reaons
based
its cute
ping me in like 10 mins quantum
i will if i remember 
actually i have some questions regarding its prerequisites
I like the approach a lot, although might be quite hard for first time real analysis learners
the problem is i don't really know about multivariable analysis
such as implicit function theorrem
i'm quite struggling with the course currently
also it has this picture
already love it

This is a pretty good linear algebra book.
you should look at tao's analysis 1
🚫
ok im back
so problems with tao analaysis
Firstly, its too wordy, not in a good way, at times his explanations go pretty weird
the first chapter of the book is good at motivating analysis
but otherwise there isnt much good stuff in it
is there anyone good at physic? 
second, he spends 6 chapters of the first book covering things that should be done in one chapter at max
there are not many problems
and their is a lack of computational problems
all this makes for a pretty not good first experience
i think the book would be better as a reference of some sorts
also, he doesnt use metric spaces
which isnt the best thing
and spending 6 chapters constructing the reals is 
what level of physics
Just use Rudin
Terrible as a first text though
exactly
but brilliant as a reference for later on
U should ideally do a book with tons of problems
apostol for example, doesnt shy away from giving problems
his chapter on topology had 50 different exercises, many of which had parts
and the chapter on limits had more than 70 or so
u dont need to do all of them
but u should have the options to do many
there is this book
but its pretty expensive so I suggest chekcing out libgen tbh
Spivak Calc. on Manifolds gets you up to speed fast
stein and shakarchi
how do you rate it?
what do you explore after?
can you go onto anything involving complex anal for most part
you can study riemann surfaces
lol complex analysis gets significantly deeper than just a first course unfortunately
atm i realized idk any non trivial examples of riemann manifolds
ig ill come back in a month or so asking for more
new goal is to become analysis god
mostly complex tho
it's quite the nontrivial path
you need a not insignificant amount of topology and geometry for complex stuff
@gray gazelle
Check pinned messages, I posted a review of a fair number of complex analysis books
how good r stein and shakarchi's other books
isn't their complex analysis textbook part of a 4 volume series
of fourier analysis, complex analysis, real analysis and measure theory, and functional analysis
boolean algebra and set theory involving power series for someone who is really struggling to manipulate sets?
What is the worst complex analysis book
No rigor, makes wrong statements, completely trivial
sounds like you know the answer
maybe a complex analysis book for toddlers?
I made some notes a while ago
does this exist
There's https://www.amazon.com/Bayesian-Probability-Babies-Chris-Ferrie/dp/1492680796 so I thought it might be plausible there's one for complex analysis as well
sadly it doesn't look like there's a complex analysis one in this series
In need of, Short Book, Easy to Read, Topic - Set Theory not more than 15 Dollars
What level of set theory?
Level?
I wanna do Set Theory for Linear Algebra
Okay, something like Hammack's Book of Proofs should be fine. You can find a free PDF on the author's webpage.
Sure. Thanks!
the book costs more than 15 dollars (Hardcopy)
Any other recommendations by any chance?
I am tight on budget.
Is Naive Set Theory by Paul R. Halmos Good? Found it for 5 Dollars is it worth?
yeah but... i dont like reading pdfs
i need hardcopy
hardcopy is +15$
Halmos seems quite good for 5 dollars IMO
It should help you for lin alg and a bit beyond
I don't think you need Halmos for intro Linear Algebra, but it is a good book so you should prolly get it :)
Yeah that's a great book. Halmos writes well in general.
halmos LA 
Just print it out?
15$*
how. book arent supposed to be just pages, they should be a cover.
How does a cover make any difference
it does

that will cost more money. to fix the printer at home
Its not like the cover has important information anyway
well. ig i will ask for some money. Thanks!