#book-recommendations
1 messages · Page 38 of 1
okay, here is a full thread about texts for this content https://mathoverflow.net/questions/7834/undergraduate-differential-geometry-texts
that’s where i found those notes
the notes themselves look pretty self contained, but having a full book may be nice
kristopher tapp is good for diff geo of curves and surfaces
yeah when people refer to diffgeo it’s either difftop (sometimes straight to riemannian/symplectic/kahler/so on geometry) diffgeo or curves & surfaces in R^n diffgeo
I thought I was getting myself into calculus on curves & surfaces in R^n but ended up in difftop and now I find that a lot more interesting
yeah thanks again for clarifying that up otherwise i would have gotten stuck a long ago, studying end topics
if you have time still, do you have any suggestions for abstract algebra?
what are you looking to learn about?
it will be my first time taking it
start with group theory and pick a classic like aluffi/artin/d&f/whatever other hip new books people recommend are
i dont know at all, but some source i have seen does callbacks to relations and stuff
do not start with aluffi lol
relations get covered even in analysis courses
a lot of people like it but I think category theory when you’re first learning is intimidating
i think it's a good second read through, form the little i've seen
but starting someone off with CT is not something i would suggest
it takes a serious level of mathematical maturity. it's worth checking out to see if it makes sense, but i don't think blanket recommendations to start with aluffi are being considerate of the person learning
which one is the most beginner friendly
"dummit and foote" is pretty good, i also thought "friedberg" was good for a first course
Friedberg has a book on group theory?
i tried googling friedberg for abstract algebra but i keep getting recommendation for linear algebra book of it instead
Rotman first course in abstract algebra is good
i was reading friedberg and mixed them up my bad
oh no worries, thanks for clarifying
i wouldn't recommend aluffi for your first go of Abstract Algebra, dummit and foote or contemporary abstract algebra by Gallian (this is what I had for an intro to abstract algebra class)

brezis is self contained on that regard
assumes measure theory i'm pretty sure, or covers it very briefly
but goes all the way up to calculus of variations via sobolev spaces
What’s the title?
Functional Analysis, Sobolev Spaces and Partial Differential Equations
i don't know if it's the treatment of calculus of variations you want but it's one option
the most formal calculus of variations book I have seen is by Gelfand and Fomin. It's a bit old, but the writers a very good mathematicians and it has good reviews
the book is called... Calculus of Variations
I would prefer something recent (like 2005+) for good typesetting etc
honestly the version I see, typesetting looks fine
but ill see if there is something more recent
Ideally I’m looking for one with connections to theoretical mechanics or optimal control theory. For both calculus of variations is quite fundamental, but most books I’ve seen that combines these topics either lack a bit of rigour or only treat the CoV on 10 pages of a subchapter
What I will mention though is that CoV as a standalone topic was hot in the 20th century but no longer. So most comprhensive books on it will be from that time, some of them with very good condition. I would suggest once more the gelfand and fomin book
An old but applied one I found is:
Calculus of Variations: with Applications to Physics and Engineering by Weinstock (1960s)
Finally, a good recent book you can check out is:
Calculus of Variations by Jost and Jost (I think the second jost is his wife, Xianqing Li-Jost)
it's written in the late 90s, good typesetting and i've used his book for geometric analysis
I think this last book might be what you are looking for. If too theory based, the applied one might focus more to what you want
Thanks for the suggestions, I’ll check it out
yea this last book is for you probably. The deeper you go into the book, the more functional analysis starts appearing (hilbert and banach space theory, measures, etc)
Hmm libgen doesn’t seem to have it
@topaz rune @inland lichen Nonlinear functional analysis: a first course by kesavan. Or other nonlinear functional analysis books have really good shit on this topic.
I wouldn't say it's a good first book for someone who might be new to the abstract notions within it. he takes a categorical approach which might start off to strongly for someone new to it
as they said "it will be my first time taking it", so i'm sure a straightforward text on groups, rings and fields will be much more suited than Aluffi
that's just me though haha. I didn't start with Aluffi, so maybe starting with it isn't too bad...
Looks interesting, guess @topaz rune will have to check it out and see if it fits their purposes
do you guys have any recommendations for graduate level probability textbooks?
I need some probability theory stuff
have you taken measure theory?
yup but the textbook doesn't have to be measure theory based
Alright
So the typical book is by Durett or by Billingsley but I didn't like them. The book "Foundations of Probability" by Kallenberg was nice for me
On the otherhand, you can just look at MIT's 2012 graduate level prob page and check the links (particularly the notes by Amir Dembo from Stanford):
https://math.mit.edu/~sheffield/fall2012math175.html
Of course you might have to jump between sources and just read the chapters you're interested in
Oh yeah I should've mentioned before that I have Durrett's book
yea i didnt like it
https://adembo.su.domains/stat-310a/lnotes.pdf could try, but it's extremely rigorous. It all depends what your goals are
Here's the foundation book contents, you can see it covers about everything one would expect in a complete round of graduate level probability:
https://link.springer.com/book/10.1007/978-1-4757-4015-8
after that you kind of find books for specific topics i.e. martingales, stochastics, etc
wow thanks for all the help
I didn't know there were that many things published online
Imma do some more digging for that too
in any case you can always check google and find pages like this:https://math.stackexchange.com/questions/3955639/rigorous-graduate-probability-textbook-for-self-study
that's usually what i do anyways, check stackexchange, reddit or other special links i found that have lists of math books and opinions on them
Good luck!!!
yes sirrr thank you so much
as you go higher into mathematics, there are less books and mostly everything becomes online posted notes
what book is like in depth
i swear if you ctrl f “in depth” for me its be like 100 times
but the more in depth the better
but like anything that explores a concept to completion is all i want
im not sure what you mean
It's not gonna be easy because topics branch a lot
For almost any interesting thing out there, it's not super "open and shut"
There are questions you can ask and often eventually those questions go completely out of left field and become their own subjects. And eventually it builds to research level stuff
so i want a highly specific subject
i think sloth king did
In any area of math?
Haha no, i can’t give you something you don’t have the prereqs for.
Sorry i jumped midway into the convo, so if you can tell me what you know i can tell you where to go from there
why not at least let me know so i can build up to it?
im like calculus area with general math-ish
I’m happy to but some things require like a decade of build up and some less haha
ive heard about other topics enough to like at least have some prior knowledge
i can try
It's kinda hard to think of such stuff
There's local closure that's more attainable
In the sense that, okay you could always ask more questions
Here’s a highly specific topic within your reach
Not much beyond some basic calculus and combinatorics
But a very enlightening topic that will prove useful
But as Sloth is saying, local closure is more attainable. No topic in math is ever really completed
Some die out of popularity, like Euclidean geometry in the past but there are probably no researchers in it nowadays
But there's a point where it's like, alright you've answered a big question you had asked
Namely linear algebra
i want to be comfortable with it
curriculum just doesnt branch out enough for me
i understand why
but it bother me
Are you in school or uni?
school
i study outside so im a bit ahead tho
Yea i was like u
then again the topics are usually niche
And i felt like u
But let me tell you the path ahead so you don’t worry like i did. There will be a lottttt of time to study and explore all areas of math, so much you will wish you could live forever and explore it all
But alas, you only have so much time in life and should enjoy more than that
Pick up any topic that may seem feasible and give it a shot
Don’t worry about getting to the end, because you won’t get there
yes
For examplec, if you want to transition from your school math calculus to uni math major calculus, try this book: https://theswissbay.ch/pdf/Gentoomen Library/Maths/Calculus/Michael Spivak - Calculus.pdf
It’s a famous book and don’t be fooled by the title of the book. It’s called Calculus by Spivak, but in reality it is an introduction to analysis. Give it a try!
yes
another intro to analysis?
i have like 4 why not
and i havent read a page of either
This will be more digestable as ur still in the calculus phase, other analysis books could be tough. Another nice one is Understanding Analysis by Abbott
But if you don’t want analysis tell me haha
It’s just the most reachable thing from your position
For exmaple, you can go a long way with combinatorics
It only requires algebra and sometimes calc, but it’s an extremely deep and complicated field
i also have that book
see thats the problem
i want a small field
Aint no small fields at the point you are at
that doesnt have to be “explored”
combinatronics looks cool
The generating function book will teach you things you might not learn in any regular math course
i may not have as much time for math as im getting into python
what book?
The link i sent
oh gfology got it
That’s good! CS goes hand in hand with mathematics
point set topology, there isn't much to do after you've read the basic stuff
Unless you want to do algebraic topology
Im not sure id recommend topology to someone who hasnt done any proofs yet
But then again, people are more capable at different stages in their life
True but my point of topology being a limited field still stands
I mean point set topology

wait i did geometry proofs?
I don’t think it’s limited, but I get what you mean. What a math major learns from it is much smaller than all other topics.
certainly there is still research in set-theoretic topology. I think there aren’t any big overarching questions
I dont think they will compare in rigor to topology. If you want you can give it a try! Topology by Munkres is the standard
And it will help you with everything in your math future too
Topology in general is vast asf and has a lot of use especially AT but I don't think there's any research in point set topology
You’re young, try things. It’s not wasted time and you will learn a lot along the way
i guess
honestly yeah, just pick things that look interesting
my interests aren’t very mainstream
like the concept of physical and temporal dimsensions
noneuclidean geometry
and non base 10 numbering systems/floating point stuff but thats computer science related
wdym non eulclidean geometry is pretty mainstream I think
it is but there isnt much on it as it can vary a lot
I can’t say there is active research as other fields, but certainly a lot still in question: https://staff.fnwi.uva.nl/j.vanmill/papers/papers1990/opit.pdf
oh yeah, I meant in the sense of active research. I don't know of any proff doing active research in point set topology, mostly it's low dimensional topology.
Then again, I might be very biased on this.
You could look at some elementary number theory
That is also reachable from your level
that stuff is cool
A Friendly Introduction to Number Theory by Joseph H. Silverman.
That’s what you should look for
It’s the most accessible to you
Click chapters 1-6 they are freely available
It may feel like it starts slow, but read each page diligently and you will there is a lot to think about, even for things which are obvious to you
Nah haha, I agree with you. Don’t think set topology compares to homotopy theory/k-theory in popularity
recommend "concrete mathematics" it's a combinatorics textbook and discusses some niche topics. Every chapter has research problems at the end if you want to cut your teeth
hello guys, does anyone know a good book to learn solid angles?
ok ill take these into account
I just finished a pre-algebra book can someone recommend me next?
Blitzer College Algebra
does any one know a boo for long devison
I don't think anyones written a book on long division
Hello. I have just completed some introductory Calculus and am looking for any good recommendations for a linear algebra book. Does anyone have any recommendations?
Введение в алгебру - Kostrikin
Hey, would you like an introductory linear algebra book that is less heavy on theory and more on matrix computation or would you like a theoretical and abstract that is typically taught in an Honors Linear Algebra course?
Can anyone tell me if the Pre Calculus of Sheldon Axler is good for the subject it intends to teach?
I haven't read his pre-cal book but I've used his linear algebra and measure theory books and I didn't have much complaint. His books are well written
I don’t even know. I ended buying on old used book from a thrift store because the new ones are quite expensive. It’s called Linear Algebra and it’s Applications.
that's Strangs book, it's good
it's less heavy on theory, but it's a comprehensive and gentle introduction
It’s from someone else I think. It’s by David Lay
ah
i looked at it, looks like similar contents to strangs. give it a shot! the reviews seem good
Yeah. I’m gonna see if I can get through a lot of it before summer is over. Thank you for the assistance!
Can anyone recommend me a good book or textbook on linear algebra and differential equations?
We were just talking about linear algebra books if you wanna scroll up a little ways.
solid angles?
hi autumn :)
separate or combined
combined @remote sparrow
goode and annin
Hello, I enrolled in this project and I’m supposed to learn the definitions related to it. Could anyone suggest an introductory text that deals with : (Littlewood conjecture, lattices, harr measures on lattices, orbits stabilizers, invariant measures) Just to get myself familiar with the definitions. Right now I’m struggling to even find the definition of Harr measure on lattices. Group of lattices being SLn(R)\SLn(Z)
Probably be more specific. Proof based or computation based lin alg? What types of DEs and at what level?
This feels a little bit all over the place lol
Idk for lattices but it sounds to me like you need both some group theory and some measure theory to learn ABT this stuff (and probably some topology)
(Also I assume you mean Haar measure)
Harr measures
@heady ember Proof based linear algebra, For DE it’s introductory course and says “First and second order ordinary differential equations, linear differential equations, numerical methods and series solutions, Laplace transforms, modeling and stability theory”
Blanchard diff eq
Thank you!!
Zill Diff Eqs
Incel spence friedburg lin alg
Anton Lin Alg
Like lattices are a somewhat niche subfield of Lie group stuff so I don't know really what you can read on that
Maybe the Wikipedia page?
https://en.m.wikipedia.org/wiki/Lattice_(discrete_subgroup)
For measure theory Folland Real Analysis covers what you're looking for tho its quite long
And idk for like group theory you can read either Artin Algebra or Judson Algebra
In Lie theory and related areas of mathematics, a lattice in a locally compact group is a discrete subgroup with the property that the quotient space has finite invariant measure. In the special case of subgroups of Rn, this amounts to the usual geometric notion of a lattice as a periodic subset of points, and both the algebraic structure of lat...
Its a special type of linear algebra called incel lin alg
No relation to that book or person (we love them)
tfw 0 vector orthogonal to all and therefore an incel 😞
did someone mention me
orthogonal or incel?
what do you think...
/s
Thank you, I think I'll be focusing on lattices, since its a new concept for me. Also it's a 5-week project, I don't think there will be any results coming from it...so I'll just learn as much as I can
The problem is I haven't been able to find much about lattices online, other than the wikipedia page
Is anyone aware if this books is available in English, German, or Russian?
the best book i have ever read is the Quran and im not a muslim
What is this book on
I think non commutative fields?
literally when
since 2 years ago when i read it not saying that other books are bad but it really held accountable for my own desires that i have never felt before and a shrug of emotion i know it sounds stupid but its really intresting to read and i encourage people to read it
I thought you said the Quran was about non commutative fields and I was like "damn I've been missing out on this"
So, basically like a self help book?
lol
i suppose but its hard to understand with the direct english translation so i got one with context
They do
Tho it's called the study of division rings
There's a book by Cohn called Skew fields that might be what you're looking for
ill check that out as well:-)
this book is so hard dude
Hi! Can anyone recommend me a good discrete math book or textbook?
@green kelp knows...
hes studying it extensively...
It’s you
Hello! I am an incoming freshman studying CS. I am very interested in math and was wondering how I can get ahead. I’ve completed calc 2, and I will be taking discrete structures in the fall
I am looking for a textbook that I can go through in my free time (not a discrete book but instead of a class that you guys think would suit me best). I assume you’ll either choose linear algebra or calc 3. Anyways, all hell is greatly appreciated
Any linear textbook works. You can do concrete mathematics by Knuth and that will make you very prepared for most CS subjects
That's not linear that's for useful math for cs
Ok i see. Thank you. Do you have any recommendations as to how I can successfully work through said textbook?
With a smile 😁
Good idea 😆
You sound like a diligent student. Just don't push yourself too hard, studying is a long term affair
I woke up today unmotivated and I need to make my study today a bit happier so this is something you'll keep coming back to haha
Thank you. I keep getting stuck in the mindset that I need to rush things. I found math (the beauty of it) in 2020 through YouTube videos and since then I’ve been so interested. All very surface level learning since then.
You’ll get through it
good elementary real analysis book? (series and sequences and such, not measure theory)
do you want to work over R or metric spaces ? For the former i recommend "analysis 1" by terrance tao and for the latter i recommend "principle of mathematical analysis" by walter rudin
I've heard good things about the rudin book, is analysis over R a prerequisite for the latter, or is analysis over metric spaces something you can learn independently of the other?
Its a matter of taste and background , if you have encountered proof based math before then you can afford to do metric spaces right off the bat
if this is your first time doing proof based math then tao is perfect
I've done some proof based stuff, mainly some abstract algebra, I think I'm gonna check out a pdf for rudin and, if I like it, I'll get the paper version.
do note that metric spaces will lack some motivation that working over R can give , so you might need to check certain results you find "unintuitve" in the real case to get some grasp over them , otherwise you are good and good luck!
Alright, I'll check it out, thanks!
I dont know, I worked through this book after taking calculus in the regular sense. The book is not hard in complexity, but transitioning from calculus computations to proof of the concepts underlying calculus is a step up in mathematical maturity. It takes time to digest the ideas, but i wouldn’t say it’s hard in terms of actual difficulty.
And also the book is called Calculus, but in reality it’s an introduction to Real Analysis
where can I find books for free
library
There is no good library near my house or in my city that offers good mathematics books its mostly for competitive exams
im planning on reading abstract algebra by pinter but any recommendations on the book i should read after that?
specifically in abstract maths
any recommendations for a multivariable calculus book (that i can possibly find online)
Stewart?
More abstract algebra?
could look at Dummit & Foote and Atiyah & MacDonald
What is the quickest and dirtiest introduction to cardinal and ordinal numbers? I don't need any serious set theory beyond that, just want to make sense of cardinality arguments and how ordinals are used in topology and other areas.
could i use this for self studying?
the first two sections of dugundji - topology probably
specifically the second
yes
Looks like what I need, thanks. If you've got other similar recs, I'd be glad to hear it.
don't think there are any other that I am aware of, "teach ordinals/cardinals while avoiding set theory as much as possible" is a pretty niche area that you'd find only in topology books (that I know of)
there's also munkres first section but I just ctrl+f'd ordinal and found 0 results so
abbott, cummings, ross
OK, what about good intro set theory books from which I could pick and choose said topics?
hmm, tbh naive set theory by halmos covers pretty much the same stuff in dugundji's first two sections so you could give that a look also
What does dirtiest intro mean?
if you want it in the context of actual set theory, jech hrbacek introduction to set theory
the first half should be enough
Dirt, blood, feces, that sorta thing
Jk nah
The phrase "quick and dirty" means like, yeah we're playing fast and loose just to get it done
lmao , gotcha
probably the wikipedia article honestly
if thats there goal
as mentioned dugunji is only book i know as well that covers them
apologies for the ping— would you recommend Tao?
it is good
Tao Analysis I is standard ref here actually
@olive talon CUH WHY U LEAVIN CHICAGO COME BACK
Eh... Munkres? But it's only the first half about differentiability in R^n. Then the rest goes quite deep
guys I recommend the legend series by Marie Lu
could i use mitopencourseware as an alternative
or not as effective
I've tried MIT courses only once, and that was for Oncology
From what I know, MIT coures are amazing, but idk about multivar calc specifically
Munkres' multi book feels kinda eh
My impression is that people who use it dislike it
Not good proofs of a lot of the theorems (def inverse/implicit function theorem I've heard complaints about, but I think it's not limited to that)
Problems aren't great
Does this stopgap fake Riemann integral measure theory
And the treatment of manifolds is a bit screwy
introductory or would you recommend something more verbose for such purposes— perhaps Cummings/Abbott
Quite introductory
tao proves 4 is not equal to 0
It's what made differentiation in R^n click for me, so I have a soft spot for that chapter. Rest of it isn't as good tho.
mod moment 
Chose rudin in the end for the generality
What are the standard Linear Programming books? Upper udergrad and graduate preferably
recommendations for diff geo or integral equations?
Smooth manifolds by Lee and Riemannian Manifolds by Lee
ehh.... good questions 😄
it's a huge topic, depends on what you know already
if you need an intro, or if you have a rough idea already and wanna refresh everything properly for once
by Dimitris Bertsimas and John Tsitsiklis The book is a modern and unified introduction to linear optimization (linear programming, network flows and integer programming) at the PhD level. It covers, in addition to the classical material, all the recent developments in the field in the last ten yea
But linear opti isn't really enough, because a lot of things are simplified in linear opti
Guys I finished pre-algebra book and I now want to learn algebra and I also need to learn trig for my high school is there a great book which covers both the topics? (btw I found this book from miachel sullivan should I continue from it, its named algebra and trig but I don't know if its my level, I know all elementary algebra except quadratic equations.)
Yeah I just need to look at some lp because the opti course I took spent most of our time on unconstrained problems
Guys, could someone recommend me a book on complex variables to study functions and transformations?
Introductory functional analysis book with a conversational author, lots of motivation & examples, doesn’t spend the first 4 chapters talking about topology, and preferably biases Fourier/Harmonic analysis?
Rudin is exactly the reason I’m asking
nopey nope nopers I’m just gonna run anytime I see that name from now on
Oh my god
I meant functional analysis
Oops
LOL
yo so I'm in Y12 rn going up to Y13, read Lang LinAlg, Artin, Baby Rudin
anything else youse'd recommend for a spin?
Thanks for catching that 🤣
Like anything wild, just those are the books I've read so don't throw me like a bajillion prereqs honors grad textbook on cumfuck pre-algebras or whatever
We barely even started ch1
how will we cover the fundmanetal chapters without covering topoloy
As far as content goes idk it just seems so…specific
Very much Rudin style
All these wild definitions introduced at once relying on various XYZ properties, just feels so all over the place and it’s not at all what I expected LOL
Though tbf it’s my fault too since topology gives me the snoozies
well thats sorta the point we have the group too , we can suppliment basic results with some applications we find along the way
now addmitetly all of us are operator pilled so it might not be the fourier angle 
btw feather , i have a great fourier book for you
one of my favs
LOL
godly book
it gets fun from ch2 onwards i promise 
How do you do harmonic analysis without functional analysis? Or does it just prerequisite the functional background required? If you can’t then how is this book different from what I asked for? I haven’t got the chance to look at it just yet but by title it sounds interesting
but it was still like basic stuff , and more focus on hilby spaces , didnt cover TVS
Yeah that’s what I was expecting this to be :hehe:
also if you want like Fourier with very brief FA and some measure theory knowledge at hand ,check out follands chapter on it
obviously wont cover any deep results but its pretty good
and there is a brief section on Haar measures at last chapter which is lovely
actually despite my dislike of SS 3 , the 4th one seems to cover Fa with fourier in 2nd chapter , so it might be what you need
Rudin rca too
probably taking topology sequence when i start my phd program in fall. my analysis is weak, and i only took a baby real analysis course over a year ago, and i don't remember much.
does anyone have recommendations for an intro to pointset topology i can look through which doesn't assume too much mastery over analysis?
alternatively, would it be more fruitful to review real analysis? not sure how crucial it is for topology.
Lmao, I just saw An Introduction to Non-harmonic Fourier series by Robert Young 
the title cracked me
Munkres?
It's a standard ref, altho a lot ppl prefer the dirty intro by Hatcher
and yes, it's fruitful to review analysis. It serves a great intuition
hatcher looks more like a focus on algebraic topology unless i'm looking at the wrong book
Verily, it is naught a book, but a notes document.
Together, the one from Munkres and the one from Hatcher, doth constitute a splendid and admirable early introduction.
ill check out this one. thanks 🙂
if you did well in analysis at the time, you probably don’t need to review it before starting topology
the parallels will become clear as you go along and seeing the names again (like compact, continuous, open, etc) will probably refresh your memory
has anyone read "lin alg for everybody" by lorenzo robbiano? if so, is it good?
any topology books whos introduction to set theory isnt as long as munkres?
Why don't you skip that part?
you can just skip the set theory lol ^ , its more of a reference when you need it
I am learning algebra 1 using khan academy. Can i get a book that contains problem for that?
Its fine if it is little hard
I dont have any practice outside khanacademy's quizzes
this could help you http://www.wallace.ccfaculty.org/book/book.html
prerequisites to serge lang's graduate algebra without the examples?
can you read it with only mathematical maturity?
It's a bit fast for a first pass
So I'd recommend having at least done some aa prior
But hard prerequisites are probably just linalg
wait
i thought serge lane’s algebra was the prerequisite
is there prior knowledge required?
d/d2(2) = 1
uhh
wait i thought it was like alg and alg 2 basic concepts

i have things to do now
Ummm
2-3 years??
Algebra 2 is like
9th grade high school
Abstract algebra is like, 3rd year of undergrad
In America
2nd or 3rd
i thought he meant algebra 2 as in 2nd aa course and got confused
Not really lol
Usually 2nd year from what I've seen
First year is more like analysis/linear algebra
Tho the linear algebra is pretty formally treated
that's why I said it depended
some top schools do include algebra in their first year. And they make sure it's properly treated.
I mean it doesn't really matter that much what order you do intro analysis / aa in as long as linalg was properly done at some point before then

munkres?
really?
never!
Munkres feels like it's kinda long and has dumb examples
"Dictionary order on [0,1]x[0,1] gives a topology" like take a dictionary order on some goddamn grass instead
That example is kinda meh but its a bit unfair to judge just based on this , there is plenty good explanation i found in munkres , such as quotient topology , homeomorphisms and seperation sections.
but its usually more so a nice reference i go to , i can see this being a nightmare in a systemtic study course where you have to pick specific topics to cover
the way i treat munkres is "Damn this simple point set topology fact is kinda annoying me rn , i wish there was a book out there that tries to explain it in a nice detailed way"
But ofcourse there is other great books out there
Yeah imo there's a bit of general point-set that you need to know but that's about it until you need something specialized
Ngl I've barely, if ever, seen Urysohn lemma used for instance lol
the C^infty version of Urysohn is handy in analysis where you can use it to approximate characteristic functions with smooth functions
Oh yeah bump functions are great. But say in metric spaces, it's very easy
You just do something like
d(x,B)/(d(x,A) + d(x,B))
Urysohn also lets you partition functions by unity , work locally and then go globally which is used for example in proving Reisz-markov-kakutani
The content of turning this into a smooth function is important
The content of doing this for regular spaces or normal spaces or whatever?
Doesn't feel as important
Is that the Riesz about measures?
Like oh linear functionals are measures?
Positive linear functionals 🤓
Signed measures 😠
But yeah okay that might be an actual thing. Tbh I didn't see the proof of that theorem in a ton of detail lol, and even my glance at it was mainly for metric spaces lol
good tool to have just in case you want to work on LCH spaces, which seems to happen often or not at all
depending on who you ask
we practically spammed that during the latter parts of our reading group 
Tbh Urysohn's lemma is one of those things that's pretty enough for me to appreciate it without any usecases
Really?
Interesting
I've seen it quite a bit
Thing is vast majority of spaces I've seen are metric. Maybe weak topology on a Banach space is an exception, maybe also spaces involved in distribution stuff but I don't really interact with them much so idk a ton about their topology
yeah, the space of test functions (whose dual is the space of distributions) is one space which is not metrizable
Hi everyone, I'm seeking some assistance on Math topics. Would anyone be open to DM'ing me?
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10/10 sniff there really strong
goat
Lol
What a banger drawing
Anyone have opinions on Einsiedler-Ward vs Brezis for self-studying functional analysis?
Brezis is pretty good for self-studying FA. I would personally, however, recommend books by Eberhard Zeidler, particularly the volume 108 and 109 of Applied Functional Analysis
what's the easiest/most intuitive/easy to read/modern functional analysis book?
Introductory functional analysis with applications by Erwin Kreyszig is as easy/intuitive as FA books can get, author doesnt even assume measure theory.
idk about modern part tho.
thank you!
Hi
Good book for understanding co-ordinate geometry in depth
I have a somewhat related question
In all of the math textbooks, which one feels like it contains all the secrets of the universe?
In that case, does textbooks that are revolutionary exist?
revolutionary in what sense?
If we are talking about "important" math releases then there is many https://en.wikipedia.org/wiki/List_of_important_publications_in_mathematics
This is a list of important publications in mathematics, organized by field.
Some reasons why a particular publication might be regarded as important:
Topic creator – A publication that created a new topic
Breakthrough – A publication that changed scientific knowledge significantly
Influence – A publication which has significantly influenced th...
but most are not very interesting to read except historic value at this point
Disquisitiones Arithmeticae is one example of a "revolutionary" book that greatly changed number theory for example
once again , not interesting to read except historic value
Brezis is more "functional analysis as a prelude to PDE" while EW has a lot more
Idk I just like the content layout of EW a lot more
I’m not sure how to describe the difference but I’d put Rudin & Brezis in the same class and EW & Conway in another
or shall I say equivalence class 
EW I'd say is a much better treatment of functional analysis as a whole
as dami said Brezis is laser focused on FA that will be used for PDE, although the content is still applicable to a lot of places
as a result though, Brezis is considerably easier imo
not to say that Brezis is easy, FA is a difficult subject to begin with
considerably easier? 
from what little I’ve gone through EW it seems a lot easier, at least to understand the concepts and follow the author’s proofs (with what knowledge I have currently)
I'd say EW starts out easier, once you get to fourier series on compact abelian groups it becomes apparent that the level of abstraction in that book is not the same as it is in Brezis, which in contrast works almost exclusively over real vector spaces to simplify the work
still might be a controversial take obv, this is just my opinion
it's not as horrible as you think
It doesn’t sound horrible at all
ew real spaces
Ha! you did that to yourself
the theory is generally not so different, but ngl I skipped the spectral theory section on Brezis because why tf are you doing that over the reals man
it just feels wrong
best FA book if you care not about PDEs and the like
LOL
I was considering taking a look but after skimming EW I really liked it so I stopped, I’ll go access Pederson after lunch though and see >.>
I don't like pedersen as a first book
at least it screwed me up
I think it is an amazing book but better appreciated if you know some FA already
eh i disagree, it was my first and like, it taught me many unique perspectives and his exposition is really good
granted for most people his approach to like, borel func cal is a bit wierd
but i appreciate it!
Borel functional calculus? 😭 wat
its one of the spectral theorems
ay caramba there’s multiple?!
Feather here's something
Convince yourself why if T is a matrix whose spectrum (eigenvalues) are lambda_1,...,lambda_n with multiplicity, and p is a polynomial, then p(T) has eigenvalues p(lambda_i)
Now imagine if we start taking analytic functions, or even continuous functions (uniform limits of polynomials)
Now imagine if T is a compact operator. Or a bounded one. Or an unbounded one
holy shit, this fact is both trivial and mind-blowing at the same time
How didn't I notice this before?
IDK how new you are to FA (perhaps the books you've mentioned are significantly more advanced), but I think Alt's "Linear FA" is REALLY good as an intro, you could try that too.
Certainly. I'm no authority, but I believe the following texts are considered revolutionary by the wider mathematical community: Euclid's Elements, Diophantus' Arithmetic, Newton's Principia (not strictly speaking math perhaps, but close enough), Gauss' Disquisitiones, Cauchy's Cours d'Analyse, Dirichlet's lectures on number theory (as edited by Dedekind), Frege's Foundations of Arithmetic (sort of like Whitehead/Russell, but came first), Hilbert's Zahlbericht, van der Waerden's Algebra, Bourbaki's Elements of Mathematics. Everyone feel free to correct me, but my understanding is there haven't been any textbooks since Bourbaki that are acknowledged as truly revolutionary.
Baby Rudin 
Baby Rudin is famous and popular, but he's essentially the US attempt to do a "European-style" analysis textbook (I believe he admits this himself in the preface). There were already texts like that in Europe, I believe.
Aborted Rudin, the cursed lost treatise on non-standard analysis.
LMAO
you mean liberal math?
( #math-discussion for the ref)
Yeah the treatment is similar to how first semester mathematics students in germany study analysis
(i study in Germany)
Is there any good lecture series on LA (apart from strang's mitocw lecture series and axler's very brief video series) ?
You mean EGA?
I wanted to add EGA, but ended up searching SGA by accident instead (to check if it's a textbook) and that's seminar proceedings, so I ended up not adding it.
We used our professor's script, which was based on Broecker and Forster (and a little bit Dieudonne). Broecker is pretty close to AE.
I don't think any class uses the books themselves, 99% of the time it's the professor's script, which condenses the material down to manageable size.
- it's not all 3 books in 1 semester, lol, it's Analysis 1+2+3 for a reason
I assume you must come from RU/UK/BR, it's the same system as there.
Oh didn’t even know
Do the US math majors first have a few years of calculus and then start with math?
Or how is it done
As I understand it, outside of a couple top-notch institutions (e.g. Harvard/Princeton/etc.), they do a Calculus sequence (aka watered-down analysis) and only then in the 3rd year or so Rudin-level real analysis. It feels to me like a really stupid system, but afaik the justification is that math literacy is really low in the US, so first-year students can't be expected to do analysis immediately (although if the person is majoring in math, it stands to reason they ought to be more math-literate than their peers).
normally 1 year
That indeed sounds very bad.
I don't think this is the case in general
I may be wrong, but that's my impression.
I think maybe its common if you start out at calc 1 that it can take >1year to finish the calc sequence but most universities allow you to test out of this
From anecdotes on reddit and here i've gathered there are people in their 3rd-year of mathematical studies who haven't "done proofs" and feel trepidation taking "proof-based" courses (proof-based as opposed to what, exactly?).
and typically math majors often do skip this
I think it’s a bit dumb that the math majors even do calc, just go right into real analysis and proof based LA, it starts from 0 anyway
you can
at lots of schools
insofar as math majors are required to take calc, usually the relevant calc course goes faster and includes more than a highschool equivalent
I see
Often if there's an honors and regular version of a class, the honors one can be more proofsy
The honours course concept is kinda cool, we don’t have it at all
Eg at UW Madison, for students who did a certain standardized calculus class in high school and got a certain grade, you can start in "Honors Calculus" which mixes multivariable calculus, linear algebra, and differential equations, all with some proofs
Uses volume 2 of a book by "Apostol"
It's over a year
Ah ok, the calculus seems to be very standardised in general
Like if you say calc 2 everybody knows what it is
Well, there's a system called AP in the US, that's what's standardized
It's not exactly like A-Levels or IB but it's a similar type of thing, if you're familiar with either of those
But I don’t think it should be possible to let the High school class be recognised for uni education, independent of the major
In particular, students can take "AP Calculus", and if they do well enough on that exam, they can get credit for college classes
But are these classes taught by professor or by school teachers? I have often heard bad things about US math teachers (ie no education in math etc)
They can be, but that's why your receiving credit doesn't depend on the grade your teacher gives you, but on the exam that's administered centrally
Ah ok👍
It's still not perfect ofc, a lot of students in calc 1-2 that I've TAd did AP Calculus and still took that, even though in principle it's redundant, because they weren't super comfortable
In germany you just do the Abitur (everywhere a bit different), which covers calculus, linear algebra and probability and then head off to university where the level is much higher (even for eg business majors) but starts from scratch
I think business majors also start their first day of math with proof by induction
In France it's.... uh... complicated
Any online resources for linear algebra? Like interactive textbooks or things of that sort?
Hey y'all! Does anyone know a good textbook on Functions? I'm looking for a didactic book that teaches Functions from the very basics (injective, surjective, graphs, exponential, logarithmic, etc). I got "Precalculus by Stewart", but it seemed way to fast on the functions chapters...
specifically hefferon
tyvm!
I started learning MACHINE LEARNING, seems it has a lot of algorithms and math behind to deal with
Here is my LinkedIn profile https://www.linkedin.com/in/deepaksakthi-v-k
Can someone suggest a book for advanced Statistics ( ANOVA, P VALUES... CDF , PDF ) and algebra ( EIGEN ...)
Does anyone have idea how Kumaresan's "A Course in Differential Geometry and Lie Groups" compare to Lee's "Introduction to Smooth Manifolds" for a Differential Geometry course?
are you serious? he said precalculus by stewart is way too fast lmao
Would Tao's Analysis I work here too?
It seems to feel magical as the formal foundations of math are laid out for me as well as his solid writing
no
I would say last semester of second year, at schools in my state it's like you'd do calc 1, calc 2, then calc 3 & linear algebra & proofs, and then you'd take whatever is offered the next semester maybe analysis maybe algebra (some schools do both at once but most alternate to cover the second course in the semester the first course isn't running)
what's unconventional about LADR?
The entire treatment of determinants
so If I read determinants from another book, are the other subjects alright?
now you're thinking like a mathematician
🔼
I've just finished high school and I would like to self study higher level mathematics (preferably analysis). I'm not sure which books I should read to be fully prepared to pick up a real analysis book and understand whats going on so any recommandations would be appreciated. I already tried to read spivak's calculus but felt like it was a little too overwhelming because I'm not sure how to prove stuff.
Schroder's analysis and abbott are common recs for a gentle intro to anal. Regardless of your choice though. you need to have some level of persistence to stare at exercises for hours with zero progress and find satisfaction/joy in completing challenging even if it takes a while. Its part of the process
appreciate it
Why would anyone trying to learn about functions first time want to learn about monomorphism?
I'm not even sure why anyone would want to learn about monomorphisms at all!
@lapis heart why sully?
Stop projecting your categorical insecurities on the rest of us...
Wherever they may be useful in, his point obvsly stands
Book recommendations need to suit their target
I'm not projecting, my point is if even I don't know why they're useful how would you expect someone learning precalc to find them interesting
That's pretty far fetched from precalc lmfao
no
hells the point of defending your shtty joke
It's not a joke 
Well mind your phrasing then 
I literally don't know why I should care about them

Lololol
In the category of Set, yes
In most categories that matter, really
But the definition doesn't even assume the category has a suitable sense for elements

exactly! that what im saying , next time someone asks for a book on trigonometry ile link them a book on Fourier analysis on LCG and tell them math is math
I resign , you win
you can start with spivak calculus on manifolds
it depends on how thorough you wanna be lol
spivak might be all you would need
I liked everything up until the inverse value theorem
but the proof of that one is infamously hideous
there's also hubbard but that's waaaaaay too thorough
I liked that one even more
but you'll want to know what you're looking for or you'll be spending a month on quadratic forms for no reason lel
do you have a list of the topics you want to cover?
is it weird that its only 150 pages
no i just wanna read books
multicalc was the first obvious option cuz ill be needing that for deep learning
oh, do you know any linear algebra?
i do
it's pretty terse
im doing a cs degree last year
but really wanna study all the math i could get my hands on
will start with spivak then
@light cedar for the record you don't need a lot of multivar analysis for deep learning
you just need enough for optimization theory
which is around the first 3 chapters of spivak
hmmm yeah still gonna read the whole thing though 😄
question
which topics do tensor and metric calculus fall under?
multivar calc?
matrix calculus*
cuz i frlt like i need that for deep learning
gradients of tensors etc
@mystic orbit
I don't know 
I've heard of those terms thrown around but I don't know them beyond a guess lel
Any help?
It might be tricky because Kumaresan doesn't seem to be a well-known book
At a glance they seem like they serve subtly different purposes
Lee Smooth Manifolds is predominantly about the general machinery of manifolds
What's a manifold, what's a smooth map/function, equivalent definitions of tangent vectors, derivatives, tangent bundle, vector fields and Lie brackets, ODEs on manifolds, tensors, differential forms and integration, etc
Once you have that general machinery there are various things you can do
You can use this smooth structure to study the topology of the manifold. Appropriately called, differential topology
Stuff in this subject includes transversality/intersection theory, Morse theory, de Rham cohomology
There's not a strong line between the raw smooth manifold theory and the topology. Everything here is up to diffeomorphism
But yeah subtly it's that a book or class on "smooth manifolds" will mostly focus on the machinery, calculus, shit like that, while a "differential topology" book or class will have actual content
Differential geometry is another story, you need some structure beyond the smoothness. Diffeomorphism from R^n -> R^n will not preserve angles, distances, any of the stuff that you'd consider geometric
And on a smooth manifold there are no natural such notions. But if you put, say, a Riemannian metric (chapter 5 of the book you mention), now we can speak of stuff like that, and talk about these guys up to isometry
This is diffgeo land
Diffgeo books which aim to be self-contained usually contain some of the raw smooth manifold theory needed, though in much less detail than something like Lee. And that's what's up with Kumaresan by the looks of it. It has a chapter of reviewing calc on R^n, then 3 chapters that overlap with Lee. Seems to cover good ground without using too too many pages.
Then the last chapter is actual diffgeo
And what advantage/disadvantage would going through details of the "machinery" through Lee would serve over going through brief books like Kumaresan? Our professor would mostly be using Kumaresan for a course on Diff Geo and Lie Groups which would consist of Manifolds and Lie groups, Frobenius theorem, Tensors and Differential forms, Stokes theorem, Riemannian metrics, Levi-Civita connection, Curvature tensor and fundamental forms.
I have been reading Lee recently and I feel comfortable with it, and I wish to follow it throughout the course and further, but the concise nature of Kumaresan means that the professor might be done with stuff beforehand and I would have to catch up. For example, there are dedicated chapters for submanifolds and Sard's Theorem in Lee, whereas same topic is covered in Kumaresan very briefly (in about 6 pages)
well, it is worth noting that the bottleneck for speed is almost certainly not literally reading the pages, but more understanding the math
and often times a book that explains more details actually takes less time to follow
than something that is very concise
Yeah, that is one thing. I do feel comfortable with Lee, but I take some while to read up stuff, since I prefer to take it slow in general.
Off the topic, but when do you think one should "leave" the stuff for while? Sometimes when I read a topic, I can follow and understand whatever is happening, but it doesn't "click", as in, it doesn't seem to come naturally. How often should I leave that as it is and hope that it'll come naturally as I proceed with the subject, and how often should I work with the topic again until it comes naturally?
I think this is a huge personal preference thing
and its very goal dependent
for example, the amount of blackboxing one does when learning material in a class should be way less than the amount they do in real research, and both are different from topic to topic too
matrix calculus is mostly multivar which requires at least a strang level course on linear algebra. here's a nice short course for matrix calculus if you are into deep learning https://github.com/mitmath/matrixcalc. this should cover almost all you need if you're only into applications
Hmm. I kinda feel stuck if I can't feel things coming naturally, which I guess might be a bad habit in math.
if you have no experience doing analysis before and spivak overwhelms you with how terse it is then Advanced Calculus by Sternberg might be a good alternative too (funnily enough i believe it is even more abstract than spivak but the exposition is far better and you probably only really need differential calculus?)
i studied calc 1 and 2 i do know some analysis
not real analysis level stuff though
i want to study real and complex analysis aswell after multivar calc
Wait what
Bruh
Sry, I assumed you did when I shouldn't've coz real analysis is mostly a math majors thing
Anyhow, real analysis is a prereq for spivak
So you'll prolly have trouble reading that
wait rly?
It's not for Hubbard tho
isnt spivak for learning real anal?
i thought the only prereq is some proof writing
Spivak's calculus on manifolds
ohhh
is this for functional analysis?
No it's for multivar analysis
Functional analysis is quite far from manifolds afaik
idk im kinda clueless on things higher than basic real analysis
hmmm im actually not sure what real analysis is, lemme check
i think i studied it in calc although im not sure
most of the stuff for real analysis on wikipedia im familiar with
question, real analysis = analysis?
real analysis is a subject within the field of analysis
i know how to analyze functions over R and plot them, find minima points, check for integral,series convergence, differentiate,integrate,plot,asymptotes etc
that is not real analysis
real analysis starts out by putting all of the manipulations and definitions of calculus on a rigorous footing
and then goes far beyond that
hmmm so i need a book on rral anlysis
does hubbard go into real analysis?
if hubbard covers both real analysis and multivar i might aswell choose it over spivak
how about advanced calculus from harvard university? that should be sufficient no?
that would not be a real analysis course
You dont need real analysis to learn multivariable calculus if thats your concern , if you do want to learn real analysis then there is many books : tao analysis , abott etc .
harvard has distinct real analysis courses
lol i think i just need to visit a library
hubbard is fucking 300$ on amazon
wtf
210 + shipping for 300
you don't buy it from amazon
you buy from the publisher's website
we sail at dawn 🏴☠️🏴☠️🏴☠️
the publisher is matrix editions
reading on phone sucks
there we go
aww
seriously though never ever buy these massive $100+ books
its not worth it and the authors see pennies if anything from it
i paid like $120 for baby rudin 😭😭😭
why
wanted physical copy
first of all you can for sure get baby rudin for less than $120
yea lol it was from my school bookstore
depends if it's paperback or hardback
okay so ur a mark
also international edition factors in
its a joke, mark is a term for the target of a scam
or more generally someone who would make a good target for a scam
ive overpaid for bookstore books before tho
its so convenient
Not about books, I attempted to discover any websites that provide full video courses for math majors, such as this one from Oxford, an open courseware, but they don't have much video and only a few problem sheets.
https://courses.maths.ox.ac.uk/course/index.php?categoryid=99
https://www.openculture.com/freeonlinecourses#Math Courses you might like this
lots of free video here
idk if it's right for whatever level you're doing tho
Undergrad
oh yeah you should be at least reasonably well served by this
I'm simply seeking an opportunity to acquire comprehensive education (math major) since my current university doesnt meet my expectations ; (
oof
Thank u
sorry to hear it
ur welcome tho
tbh i'm probably not in the best position to advise you specifically given i'm not in a country that uses majors
and also i studied physics
so all the pure stuff here kinda goes over my head
Anyway, thank you for your sharing
You can also google "[subject] lecture series" and often you get lucky for some subjects
thats horrible
well, they get paid an advance to actually write it
but its a good reason not to feel bad about p*racy
Learn binding (or just spiral it tbh) and print out copies for yourself
Ig you can also add "NPTEL math", ICTP's and Richard Borcherds' , IHES' YT channels. There are many courses that cover stuff from intro ,pretty advanced courses and research level workshops on YT, just need to figure out the topics you want to learn and type in keywords
thank you for your dedicated advice
Why would you even read physical copies of books? They don't even have a dark mode.
Nah, physical copies feel good to read from and mark on.
I just get my books printed lol. Does not cost me more than around Rs 1 (around 1 cent) per page.
Hey I am in class 11 Sci and I have exams tomorrow and have to prep for sets, relations, functions, inequalities and AP. Can anyone suggest me some good books for good questions?
NCERT😃
Hmm, shouldn't that be enough for a school exam?
Solve RD if you wish, or maybe DC Pandey. You can also try the black book
Dude i am in a institution where different management teaches for jee prep students and we have way more diff level
I want the black book's pdf
Ah, DC Pandey was physics, I forgot
The black book 👀
Yeah isnt that for chem?
What is the black book
It sounds ominious
No.
It is, to students prepping for a particular college entrance test here in India
Its a book on organic chem by shish mishra and r. ramu petkamsetty
No, it's Vikas Gupta dude
😂
Seriously i feel that too
Reminds me of deathnote
Og
The name is really the black book
Lmao thought was like a name people give it
there is also a edition for maths
I have chem one
need the maths pdf
oh found jeebooks
Do you know the authors?
It's not
yeah ig
People call it the black book because...well, it's black
Its actual name is advanced problems in maths for jee
I can't post aceeenshos
But i said that because the first thing it showed was a black book with black book written in
And its deadly cuz it crashes confidence as its for jee advanced aspirants

Now i am more interested
It's not that bad. If you wanna destroy your confidence, look at Sameer Bansal lol
Advanced level papers?

Yes, but not that hard
Was just confirming the name
Oh
Found the amazon page, thx
Integrated school?
jee has 2 exams mains and advanced and advanced is harder than mains
Yeah i have to go to school and they teach us instead of regular school teachers and also prep for jee together
Ah, PW or what?
Ah, I was thinking something else.
Anyways, try the black book. Don't think you need anything more than that as of now
Haven't seen Cengage. Bansal was good if you've already brushed up calculus multiple times and have exhausted all the other resources and just need to master it.
Can you give a recomment for analysis books?
Depends on your level. Are you just starting out with Analysis for the first time?
Amann-Escher
No
Thanks
you're looking for an intro book right?
No actually i want to learn higher level analysis i know the basic things
ah amann escher is a fine book for a second, more involved reading i hope you'll like it
uhhhhh
I mean
multivar is a type of real analysis
and unlike spivak, you don't need analysis knowledge for hubbard
the only prereq is like
ap calc BC
not hubbard
they get everything coz they own the publishing company iirc
could i read hubbard and then spivak?
or would i still need more knowledge before reading spivak
ohh great then imma get hubbard lol
I mean, hubbard is 5 times as big
great
literally 
i mean, im planning on just reading and i dont see myself stopping even after finishing the first book
that'll take you a while tho, I'll tell you that
hubbard is HUGE
it's like more than 3 courses
in one book
hah still ok, i can sure find some resources that provide the necessary knowledge for deep learning if i run into something i didnt know while studying that
thats what ive been doing so far
aight then have fun!
I honestly think hubbard is perfect for someone that has engineery/physicy/CSy background that wants to start delving into rigorous mathematics
perfect lol
@light cedar if you're serious about buying the book you can find it in https://matrixeditions.com/ for a 100 bux
Matrix Editions is a small publishing firm
specializing in mathematics at the university and research level. It was founded in 2001.
Its primary author is John Hubbard, professor at Cornell University.
in general, books are cheaper if you buy them from the publishing company official website
and bezos doesn't get a cut 
should i usually look for newer editions?
i mean, does it make a difference? newer editions are often better right?
certainly
tho I can't comment if it's worth it or not lel
I have never paid for books so I just look for the newest edition lel
that's more like it
Any book recommendations for algebraic number theory (PDF) ?
Well I'm not sure excatly what you are going for, but here are a few recommendations:
- 104 Number Theory Problems - Titu Andrescuu (overall good)
- An Introduction to Diophantine Equations - Titu Andrescuu, Dorin Andrica, Ion Cucurezeanu (an amazing book for diophantine equations)
- Olympiad Number Theory Through Challenging Problems - Justin Stevens (again overall amazing, but may be too hard if you are not interested in olympiad math)
I was wondering does anybody have a good book (or anything really) about graph theory. I want to get started on that topic but have no idea how. I can't seem to find a good book on that topic, most of the times I find stuff related to programming and purely that (I know graph theory is more common in programming but surely there are some good books on it in maths).
that already makes me scared of the new terms I have to learn
I am looking for competition math graph theory.
Learning new terms is the worst part of math
What about new symbols?🫃
at least when I started analytic number theory I was like "hey that looks very familiar"
but algebraic just makes me scared now

What background did you have when you started Anal NT?
real anal, complex anal, elem NT, harm analysis, measure theory etc
you definitely need complex analysis
cuz when u go learn about the PNT analytic proof
all what u see is complex analysis
Thanks guys, I'm reading Rudin/Hoffman-Kunze right now, I'll look at Ahlfors and an ENT when I'm satisfied with progress there probably
I have a question about algebraic
What topics from abs algebra do I need the MOST
uhhh
strong foundations in undergrad aa?
you should definitely be comfortable with galois theory
commutative alg?
perhaps, but not sure
i think my alg nt class last year had some mentions from AG, but it wasn't used that much so idk
maybe someone else will give a better answer regarding that
I see thanks. I was going to ask in #advanced-number-theory but I was hesitant lol
Yes
But most texts treat it in-book
Ring and module theory, and then field and Galois theory. But also, a lot of them do that stuff in book
are the art of problem solving books good
Any Paul Lockhart fans have recommendations relevant to mathematical comp-sci foundations? (Discrete math, logic, proofs, sets, that sort of thing?)
(I know Measurement is proof-oriented, but I already have Lockhart's books)
(For context, I'm a working programmer who did not go to college, looking to self-study computer science for fun.)
I have some very interesting logic books I can potentially recommend to you
But I doubt people who know this stuff from a mathematics perspective would like or find much value in them
I'm interested in any good logic book (doesn't have to be math-focused). 🙂
It may seem silly but i'm looking forward to beeing a
mathematician and i'm lost bc there is a lot of things to learn
So how can i start ?
And what books do i need to read as fundamentals ?
Fyi i just finished high school
Hi, my class uses The Power of Logic by Snyder. It might be too easy, but it sets up nicely for Mathematical Thought as it covers propositional logic, general logic, etc...
Do you know Calculus? I think that is very fundamental to your development, good luck!
I know high school calculus
And I looked at some university level calculus "Unfortunately on YouTube "
Is this book good as a basis for mathematical thinking ?
Same
I'm no mathematician, but coming out of high school, I think reading Paul Lockhart's "Mathematician's Lament" and "Measurement" would be a great way to get started.
I haven't even finished Measurement, but those two books really helped me see the difference between math in general and the specific subset they hammer over your head in school.
This is more advanced than you asked for, but Elaine Rich's Automata Theory And Applications might be cool for you to flip through
It's relatively accessible and gives cool applications of the theory of computation
i think there's a nice bundle option if you buy the ebook and student solutions manual
the ebook occasionally gets automatic fixes to errata
In fact, I hate school system and used to ignore the teacher's explanation and study mathematics myself through some books and YouTube videos
Thanks
I'll check them
lol you will probably really enjoy Lockhart then.
Here are the ones I looked at:
Michael Genesereth, Eric Kao: Introduction to Logic
Gordon J. Pace: Mathematics of Discrete Structures for Computer Science
Mauricio Ayala-Rincón, Flávio L.C. de Moura: Applied Logic for Computer Scientists
Paul Teller: A modern formal logic primer
Mordechai Ben-Ari: Mathematical Logic for Computer Science
I thought the Mordechai Ben-Ari was the most interesting out of these books, if I remember right.
The Teller book and Genesereth/Kao are more like traditional logic I think
Ayala-Rincón/de Moura was pretty interesting, kind of like Ben-Ari in that it was more a computer science perspective
Thanks!
You're welcome, let me know if you read any of them, I'd be interested to hear your thoughts.
Have you read Knuth? How do you feel about it?
Sorry, just based on your interests it seems like you'd have read it
Knuth, you mean the discrete math book or the art of programming books?
I have never read it, I read a more basic "discrete math" book
Of those above books I listed, I only read several chapters of the Geneserth and Kao book. The others are just ones I found browsing around
But I thought the Ben-Ari one was very interesting
And I would probably read more of it if I have the time
I'd be really curious to hear what you think of the Ben-Ari book if you have the time to look at it
I'll let you know. 🙂 Springer publishes a lot of good stuff, so I'll definitely have a look.
It's like the book I wish I had started with for logic
And I think it's fascinating how he sees it from a computer science perspective, in my opinion that adds a lot
They have one called "A Logical Approach to Discrete Math" which I'm curious to read. It's endorsed by Doug McIlroy of Bell Labs, so it must be good.
(but also may be above me at the moment
)
I haven't heard of that one. Interesting.
All the ones I mentioned above are just logic books, no other discrete math topics.
As far as discrete math textbooks, I got the Susanna Epp book due to the wide praise and despite the reports of plentiful typos (used 4th edition for $30) and the Aho & Ullman "Foundations of Computer Science" book (surprisingly it goes for like $10 used; also free to read online, along with most of Ullman's other books).
An alternative to the Epp book is Ralph P. Grimaldi, Discrete and Combinatorial Mathematics: 5th Edition. That's the one I read a lot of.
I'm excited about the Aho/Ullman book in particular because it claims to be designed for my exact purpose (taking a person who knows how to program and filling them in on the math they didn't study).
Cool! I've heard that book mentioned favorably.
There are some modern books/courses with the same goals, like Jeremy Kun's "A Programmer's Introduction to Mathematics", but I'm a Bell Labs fanboy so I had to get it.
