#book-recommendations
1 messages Ā· Page 25 of 1
Matrix multiplication was invented to "store" what manipulations you need to do to get the solution
gaussian elimination and back substitution sounds a lot easier (when the theory of linear algebra was less developed) than doing matrix multiplication though
What is that well-known place? I don't know it š
library first book of the bible
Ah yesšI getchu
Hello, I just had a general question about books: What is a good book for studying beginner probability,
Keeping in mind, I am still at an high school level but want to study some fields in mathematics as a side. I don't know much of calculus, which I understand is required to some extent in probability. If you would recommend any books before even starting probability please let me know about those as well.
presumably engineering statics? i think old editions of hibbeler can go for cheap
some discrete probability should be accessible to this person, but i'm not sure what should be recommended
i'd also suggest this person learn calculus while they're learning some simple discrete probability
i only recall AP stats is algebra-based, but idk any algebra-based probability books
Chapter 3 of the book Discrete and Combinatorial Mathematics 5th Edition by Ralph P. Grimaldi contains an explanation of discrete probability that is for beginners. You don't need to know calculus to read it.
You do need to read Chapter 1 first. Also, you have to understand the material of Chapter 2 though you could learn that elsewhere or you might already know it.
I also agree with Sour Drop that you should learn Calculus while you do this.
Heartily recommend "the best of mathematical writing", bees knees collections
You could do discrete maths in general. The basic principles of elementary probability and other fields like combinatorics are pretty much the same. And you will have to count in probability anyway. I'd suggest Bóna: A walk through combinatorics. Soberon is also really nice, but more difficult
I didnt read the answer of joesmith1042, maybe his/her suggestion is better than mine
bona assumes you know calculus, but most of the content doesn't need it
Where does he say that?
Of course in the chapter on generating functions you would need some basic notions of calculus. But I don't think not knowing calculus should stop someone from getting into that kind of stuff, since the ideas involved are very basic
What's a good diff eq book for self learning?
What would be a good quantitative finance book for self learning? I want something serious and none of that pop-maths stuff.
Shreve?
Looks good. Intimidating though since it said that it's used for graduate programs but I think I can give it a shot. Thanks!
so im talking about Shreve vols 1/2, not Karatzas & Shreve to be clear. vol 1 I imagine you'll find quite easy and perhaps boring, vol 2 is where the meat is and vol 1 is not really required reading if you feel like skipping ahead
Is this the v1 you're talking about?
that all said, the most common recommendation is probably Hull, and my favorite for an intro book is Baxter & Rennie, but these are less mathematical than probably "appropriate" for a mathematics server
it is indeed
I don't know anything about finance in general, would that be a problem?
no, these books are all meant for people who don't know about finance/financial maths.
Hull's book is the most comprehensive in terms of teaching about finance - after all it's not all just line goes up/down, but there are many different types of products for many different purposes, traded in many different ways and venues
Alright, I'll check all those books out. Thanks!
are you looking for ODE or PDE
Looking for concise online notes/book for Group theory or abstract algebra in general
With few but nice problems
old book but "shaums outline of theory and problems of group theory" could be what you are looking for
ODE
judson, author of the free abstract algebra textbook, has a draft of his ODE book available as well
This book explains and helps readers to develop geometric intuition as it relates to differential forms. It includes over 250 figures to aid understanding and enable readers to visualize the concepts being discussed. The author gradually builds up to the basic ideas and concepts so that definitio...
just found out about this calculus on manifolds book from this lecture playlist, which it primarily follows (occasionally relying on munkres for more difficult proofs): https://www.youtube.com/playlist?list=PLoWHl5YajIf6EnH5CCI9slsTtR-Ul69l3
I wanna get a book that about the application of drazin inverse matrix.
Diary of a wimpy kid is a classic
Are there books which give a huge number of examples of Banach spaces? Would these typically be functional analysis books?
In particular, I'm not looking for elementary well-known examples.
Check pins on linear algebra. For proof based LA, I personally like Friedberg
Thanks
Hi, I've got a CS-engineering masters, so I've got some math education, mainly functional analysis, really basic linear algebra, graphs, basic mathematical logic.
I'd like to dive into group theory, category theory and type theory in a somewhat structured manner. I can learn alone, but I do need some proper structure. What would be your recommendation(s) and in what order?
I did dabble with each topic, meaning that when I wanted to familiarize myself with an algebraic structure for ex. I could just look up the wikipedia article and a few examples, but this way of learning tends to leave severe holes/concepts/important theorems that are left undiscovered
Check pins for algebra recommendations
Aluffi is a grad algebra book that introduces category theory early and uses it frequently throughout
Awodey, leinster, riehl, and maclane are common references for category theory
mainly functional analysis
really basic linear algebra
nani
I learned engineering math
Was mainly functional analysis that got us to stuff like Laplace
And on another line, we had linalg where we learned about basis, linear transformations with matrices, and then that subject went into graph theory in the second semester instead of continuing on that line
During masters we had a subject called abstract algebra but to be honest it was a very half-assed one trying to pick up where we left off with matrices with stuff like Jordan decomposition, orthogonalization and a bunch of rando stuff
but like, functional analysis is, to some extent, linear algebra in infinite dimensions 
anyhow, I think you're gonna need several references
I don't recommend aluffi for learning category theory
Sure, whatever, that's not how most courses teach it tho ime
especially early on, the only category ""theory"" you're gonna learn is category theory jargon
and the universal properties of some algebraic objects
and I don't imagine that'd be super helpful to type theory, tho I don't know much about the subject
but if you couple that with another category theory reference it'd be quite a good reference for algebra imo
Does kreyzsig functional analysis have fewer prereqs? They could have used that book
kreyszig only has very elementary linear algebra and real analysis on real line as prerequisites i'm pretty sure
lol
It has fewer prereqs, I've looked it but never read it. It doesn't include L^p spaces.
Hello! Does anybody knows at least one good book from mathematical modelling which implies pedestrian flow models and self organization behaviours? I need a book rich in maths, means that it provides math background, theorems, lemas, etc that sustain the models and then numerical experiments. I've searched, but all I found is pretty leaky in theoretical content and more in experimental work.
looking for an introductory textbook that goes into this https://en.wikipedia.org/wiki/Fractal_dimension
In mathematics, a fractal dimension is a term invoked in the science of geometry to provide a rational statistical index of complexity detail in a pattern. A fractal pattern changes with the scale at which it is measured.
It has also been mythologized as a measure of the space-filling capacity of a pattern that tells how a fractal scales differ...
"Pedestrian Dynamics: Mathematical Theory and Evacuation Control" by Andreas Schadschneider, Debashish Chowdhury, and Katsuhiro Nishinari.
covers overview of the mathematical modeling of pedestrian dynamics, ie self-organization behaviors that arise in crowds of pedestrians. It covers various models of pedestrian flow, including cellular automata models, social force models, and microscopic simulation models.
Thanks! But, by any chance, do you have a link or pdf with the book? All I can find is the same title but written by Pushkin Kachroo
had a hard copy, cant find it now sorry
I liked kreyszig but when it gets to spectral analysis it kinda loses its charm. I mean halfway through chapter 4 it just jumps into becoming way more terse and less intuitive
I find that a lot of books have a drop off point where they lose the charm they start with for better or worse. I would imagine most people going through kreyszigās functional analysis overall are going to have an easier time even in the later chapters as opposed to a number of alternative books
Dunno if it's introductory or not tho.
looking for a good book on vector/multivar calc
rigorous or nonrigorous
ig rigorous
look at hubbard and hubbard or shifrin
ty !!
i want to improve my proficiency in mathematics what book should i start off with (iam upto par with an 8th grade student)
AOPS
I (not recently) realized that my fundamentals in geometry are āterribleā so does anyone have recommendations for a fast paced book? Iāve just been using articles as references but I kind of want something that builds up to results, but with a decent amount of difficult problems as well. Iām an undergraduate if that matters for context.
Are you talking about euclidean geometry?
Yup
Ig Evan chen- Euclidean Geometry might prove to be useful
Features the classical themes of geometry with plentiful applications in mathematics, education, engineering, and science Accessible and reader-friendly, Classical Geometry: Euclidean, Transformational, Inversive, and Projective introduces readers to a valuable discipline that is crucial to understanding bothspatial relationships and logical re...
How is cengage for jee advanced
Is good.
Thanks! Iāll check those out
Any recommendations for self-learning Measure Theory?
I've been a bit pissed learning statistics and not being able to rigourously prove anything
You could try Schilling
Alright, I'll keep it in mind
read Bogachev
Is that a bad book?
Bogachev/Smolyanov?
swoleyanov
Any book recs for someone who wants to self study calc 1-2 by august?
define calc 1-2
if your goal is to literally just learn the content of an intro calculus course for use in other things (or to do well in an intro calc class) then you can probably just read pauls notes online
if you want to understand the actual math then spivaks calculus
Le Gall 's book is a pretty good introduction to measure theory
thank you for the suggestion
A little niche, but anyone know of a good fourier series book and applications to NT?
and if that's too nice, then idm a fourier series book (barring stein and shakarchi/ folland)
axler looks good
it's legally free online too, which is a plus
this book also exists
Suppose one has completed taylor mechanics, griffiths electrodynamics, shankar qm, schroeder for stat mech, and landau for analytical mech, just to grasp the physicist's way of seeing things. And suppose this person is more of a math person. Is jackson's electrodynamics a must read, or can they just read an e&m for mathematicians book?
Np, it's a standard text that french students use to learn measure theory, it only recently got a translation in english so I can finally rec it to english folks 
I'm not a fan of the way he presents probability though, but you're only interested in the measure theory part of the book 
has anyone looked at this book? is it any good? i know this guy has lectures on mit ocw.
the only bad Bogachev book
Are there different good set theory (undergrad) books with plenty of exercises apart from Karel Hrbacek, Enderton and Cunningham?
idk about this book but my friend always recs the Cohen-Tannoudji on quantum mechanics
lems likes goldrei
more recs here
Wdym bad, I heard it's a great reference to measure theory
Thanks for this link!
idk I just don't like long books
Oh
Bogachev tackles lots of topics that most other measure theory books don't
But yeah it's long and is technically 2 volumes, though springer put both into one ebook
like what
Like measure on topological spaces, it goes further than other books I find, with volume 1 covering standard material seen in MT and volume 2 going deeper. You can sometimes find some parts of the topics that treated in volume 2 but it's often just "on the go" e.g some theorems and definitions are given when needed
Or maybe I just don't know enough measure theory books and I'm biased because I meet mt mostly in the context of probability
measures on in topological spaces are covered in basically every graduate course (although tbf Bogachev goes more in depth and also looks at measures on topological vector spaces)
Finite measure theory is probability theory 
Honestly what I wanna see is
A measure theory book that goes into detail about the perspective of differential forms being "smooth measures" on manifolds
george polya - how to solve it
is it worth reading it?
yes
Polya has lots of quotes from that book alone
anyone know a good resource to quickly brush up on real analysis (limsup liminf, riemann integral, sequences, convergence, open, closed, compact sets)?
you might be interested in knapp - basic real analysis
its first chapter is a review of one variable real analysis (along with some fourier series stuff you can skip), second chapter does metric topology in depth up to you how far you need to go there
I never looked at this book before is this supposed to be a first course?
thank you
well, since it goes through all of single variable real analysis in 50 pages, not really
could be used as one if you already know studied a bit of analysis but forgot, and have some math maturity
no coverage of the riemann integral, but carothers may interest you
Would you consider How to Solve it a way to work through proofs? Or more of a general way to problem solve mathematically
I think it's quite informal tbh, but that doesn't make it bad
So more like a way to have a good mental model about problem solving rather than āmath proofingā
Personally I find it too simple as anything more than a casual read. It's still a good book worth reading. But, IMO, the best way to get intuition behind problem solving is by doing exercises and working through proofs in whatever book you're studying.
Of course everyone learns differently
Yeah reading is for background, problem solving is for building intuition.
Youād have to be very smart to learn only or mostly just from reading. And I am not very smart.
Well, nobody can just read anything for the first time and automatically get it. But actually working through the material is, in my experience, the only way to understand it at a conceptual level.
i skimmed a litte bit through lara alcock's How to Study as a Mathematics Major and it seems like it might help you
two of her other books, How to Think About Analysis and How to Think About Abstract Algebra seem good too
anyone know where i can find SASMO grade 12 past papers/sample papers?
So, How to Solve It
How to Prove It
How to Study as a Mathematics Major
thank you so much
There's only a solutions paper for grade 11/12, though
does anyone know a great book for geo
Alg geo
sorry
No need to apologize, alls good 
For a more Introductory/undergrad Book: Silverman's "Arithmetic of Elliptic curves" and "Rational Points on Elliptic curves" as well as some good textbooks on the prerequisites. For a graduate level course: Hartshorne, Lefshetz, Silverman's "Algebraic Geometry", Liu
As well as the "Foundations of Algebraic Geometry" online notes by Vakil
Plus EGA if you can read French
However, Alg Geo is a very broad subject nowadays, these are just some good general texts
Anyone know good probability theory book for undergrads (maybe with a tiny bit of advanced topics like basic measure theory?)
klenke's probability book, is a good one but starts with basic measure theory
What is the baby rudin of mathematical statistics?
Also, what is the most terse statistics book? I want to learn student t-test and chi squared as someone who already knows measure theory and other relevant real analysis
i dont think this counts as "a tiny bit of advanced topics"
i mean they develop like a lot of measure theory at the start and is imo quite terse
grimmett and stirzaker
I can confirm that klenke is not what they are looking for, just the first page of that book should be proof
if you know 0 measure theory this is probably the worst introduction you could possibly get
ha yeah. I'm really looking for the stats that a social scientist would learn in their stats class, but explained in 20 minutes because I know math already
I was not replying to your question
idk if these are terse, but you may be interested in Theory of Statistics by mark schervish and Mathematical Statistics by jun shao
i want to use calculus for astrophysics or physics genrally so can someone tell me a good books for calculus?
Iām not sure if a terse statistics book is that insightful in the long run. If you are focusing more on physics, then a lot of jargon you get from statistics books, even math stat is always limited to context of the samples your measuring from an arbitrary population. So you always have to focus on details. Maybe jumping into measure theory is the more serious approach statisticians should be taking.
thank you!
When would you take measure theory? After real analysis?
robert_ wants stats for social science
if you're not interested in learning how to read and write proofs, spivak or apostol are the wrong choice. stewart's calculus is fine. look here too: #book-recommendations message. a middle ground book between stewart and spivak would be velleman's Calculus: A Rigorous First Course by daniel j. velleman
Discord is the easiest way to communicate over voice, video, and text. Chat, hang out, and stay close with your friends and communities.
Will the course be called Measure Theory? Or more advanced real analysis courses cover measure theory?
I am considering eventually working through Schilling at some point. After I go through all my dynamical systems books I might learn Ergodic theory with measure theory
What would be a good book for calculus?
Oh I guess in a way, going through an analysis book is basically learning measure theory more on the surface? But donāt you deal more with the generalization of metrics directly in an actual measure theory course ? Rather than consider differential forms?
I am undergraduate student pursuing bachelorās in computer science, I have already completed my Mathematics 1 course which included foundations of multivariate calculus, I would like to study a bit more
I used thomas calculus for coursework
have you taken discrete math or equivalent class where you've written a proof before?
Nope , I have linear algebra and complex analysis as part of my coursework this semester
My semester starts tomorrow
oh
Also @remote sparrow are there other books you may recommend along with Schilling for measure theory?
maybe a complex variables book like brown and churchill
there are still proofs in that book
but brown and churchill is often used by scientists and engineers that aren't necessarily looking to rigorously justify every result
axler looks good
This is given by my professor
also this
more advanced books can be found in pins
slight modification, bass is still about the level of folland; it just uses "vanilla" proofs, i.e. proofs that are easily mimicked or adapted, especially for use on graduate qualifying exams
no cleverness involved
these linear algebra books may interest you
are you learning mainly probability or are you somehow doing both
Course name is probability and statistics
can you give the course description
usually questions of inference, properties of sample means, theory of estimators, etc. are covered in a mathematical statistics class
I just bought how to prove it and plan to lightly read it over the rest of the sem and more rigorously over the summer. Do you think itās enough proof background for abstract algebra or real analysis?
i'm not really familiar with probability and stats books for scientists and engineers
oh man do not disrespect proof writing
it's a common flunker
I just finished my cs program's proof flunker and the class got something like a 40 average before the factor
but blitzstein and hwang's probability book is very nice. it doesn't go into statistics at all though.
bonus is that it's free online
can you find a friend to help you go over your proofs?
i think most of our class failures was because of low feedback
i'm assuming your probability and stats class has calculus as a prerequisite
Haha that was actually the plan for me but Iām already struggling with proofs in my calc 3 class and knew I wouldnāt survive
actually i saw this book at my university bookstore a few weeks ago
it's free and also available as a cheap paperback
there is also a student solutions manual for purchase
might interest you
In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the rea...
this book was used for my probability and mathematical statistics classes
Ya it has
Which book ?
it may be a bit more "mathematical" and have less coverage of relevant topics for scientists and engineers however
the book i linked to from amazon
I can always check my library catalogue
Thank you for the recommendations!
So the probability and statistics books I've listed so far are as follows:
Introduction to Probability by Blitzstein and Hwang
Probability, Statistics & Random Processes by Pishro-Nik
Mathematical Statistics with Applications by Wackerly, Mendenhall, and Scheaffer
blitzstein and hwang have a website associated with their book
same with pishro-nik, as i just linked earlier
Thanks
and i've already linked you some linear algebra recommendations
Thanks š
paul halmos book on naive set theory
first order logic, you can look at enderton as long as you use antonio montalban's lectures
there's also goldrei and mileti
although if you're doing some mathematical logic, i don't see why you wouldn't want to do some axiomatic set theory as well
you don't need to if you're already know how to read and write proofs
just look at enderton or goldrei (who both also have set theory books)
hrbacek and jech (one book, two authors; jech has a graduate reference) is another choice
i don't think most people are learning from jech
even grad students
it's more of a reference rather than something you study from
you can look at kunen for graduate treatments of set theory and mathematical logic
also check out diligentClerk's pin in this channel
Peter Smith's Logic Matters blog, plus pages for his Intro to Formal Logic, Gƶdel books, and Logic Study Guide. Also LaTeX for logicians.
a good source of recommendations and reviews for set theory and logic books

Any good books for learning game theory?
Well I donāt really study math rigorously so I hope these will be useful
Hey everyone, I just started this small book about Algebra, please take a look at it and give me some feedback if you want!
Hi, Emiel.
I think this is a confusing example. "Both are approximately equal to 3.14, but one is rational and the other is not."
Your informal notation " pi \approx 3.14 \notin \mathbb{Q}" is confusing, because 3.14 is in fact a rational number. In the first line it's not clear whether you mean 22/7 is in Q or 3.14 is in Q.
Additionally pi might not be a good example here. If they have background in geometry they will understand what pi means, but are you expecting your readers to be familiar with geometry?
It is also extremely difficult to explain to your readers why pi is irrational, and they will not understand why this is true. So the example is unhelpful, I think, because they can't see why it is an example.
I am guessing you cannot explain to me why pi is or should be irrational.
I certainly cannot explain it to you. š
Your description of complex numbers probably overestimates the reader's background. If they have not seen complex numbers before, they certainly will not understand what they are after reading this. What is an imaginary number? You have only given an example of an imaginary number.
"i is an imaginary number because it does not correspond to the measurements of the real world." This description does not help the reader to understand what an imaginary number is.
For example, 3/0 is an undefined quantity and in general we cannot assign a value to it in a sensible way without totally destroying interesting mathematics. Why do you expect your reader to believe you can assign a meaning to \sqrt{-1} without totally destroying mathematics?
I think you may not have consulted a reference when writing this paragraph. As far as I know, quadratic polynomials are not used to model population growth or the behavior of a stock price over time. Were you thinking of exponential functions?
Here you say that there is no solution. But you just said that there is a square root of -1 called i, and we can use that number to solve this equation. You should be clear with your readers about what number system you are working in: the real numbers or the complex numbers.
In mathematics, expressions have meaning, and rules are valid because of the meaning of those expressions. If a student learns only the rules but does not learn what the expressions mean or why, they will be harmed later on when they need a deep understanding of why this statement is true.
You should explain to the reader why this rule is justified.
That should be called a discriminant btw (sorry for the ping)
a better example to do this with is probably sqrt(2) or something, where you can actually prove it in a couple steps (and possibly showcase contradiction as well)
also does this discussion really belong here?
HOW TO PROVE IT: A Structured Approach, Second Edition
i want to become better at proof writing and was wondering if this book was worth it reading(chapter on proofs) ? or if anyone can recommened a book which teaches proof writing
any of those are good
you may even read more than one book side-by-side if you like
oh ok thank you
and to practice, proofing stuff i solve is a good exercise right? (dumb question, practicing can never hurt)
what do you mean by proving things you solve?
like for example:
i had a problem where i had to get the amount of trailing zeros of n!
i know that the amount of trailing zeros is just
n/5 + n/26 + n/125 + n/625 ...
and every n/x is floored
but i havent proven it yet
thats what i meant
well, we call unproven claims conjectures
you "solve" a conjecture by proving or disproving it
you might intuit or guess that the amount of trailing zeroes in n! is given by the formula you wrote down, but that doesn't count as "solving" it until you prove it
any thoughts on Elements of Integration and Lebesgue Measure by robert bartle?
I loved this book. Totally recommend it
hello! im just strarting to lear the integral calculus, do u have any reomendations??
AMS bookstore has a sale for pi day
don't know if it combines with the member discount or not
thanks
Sorry I don't think Klenke is a good textbook, unless one is very mathematically inclined.
You're having something for pi day?
Suggest good group theory book for concepts with intuition and quality problems
group action oriented approach preferred
Stein and Shakarchi vs Ahlfors vs gamelin for complex analysis? Also, what would be the prerequisites for the textbooks
Opinions on Roman's Linear Algebra? I have already taken a course on elementary LA and want to hit some advanced topics sooner or later. Currently speeding through problems in Hoffman and Kunze to make sure I remember things. Would Roman be a good place to start after this or would I need more pre-req knowledge?
Check pins. In my opinion you just need to know basic analysis (differentiation, integration, sequences and series). I find Ahlfors' writing to be cryptic (not terse like Rudin but what he is saying isnt exactly clear/highlighted well enough that you check it properly) at times (but if you have a good teacher this is a non issue ig) both Ahlfors and Stein has nice problems but Stein feels "more like analysis" and has a lot more problems that Ahlfors.
Also I think Stein gets to the nicer stuff faster than Ahlfors
I have a love hate relationship with Ahlfors' book lol, somedays when I work out every sentence of Ahlfors, I feel like it's a great book, other days when I can't understand what he's trying to say I'm like 
Oh and also knowing the total derivative (as a linear transformation) and how partial derivatives work, along with a few basic differentiability results (existence and continuity of partials etc) is helpful.
So multivariable differentiation basically
ah, I see thanks for the recommendation. I'll stick to gamelin+vca probably with ahlfors for questions
Would also try a bit of Ahlfors maybe
No, the ams bookstore
I just got an email from them about the sale
I was asking if you're buying yourself something for the sale
Alright
Oh no I am not buying anything
I like their grad studies in math series
But since I have to move pretty regularly I'm trying not to accumulate books right now
Sry I just woke up and my reading comprehension is low
What kind of stuff are you interested in? š
Are you interested in "continuous mathematics" (like calculus: stuff like curves and their slopes), or "discrete mathematics" (e.g. things you can count up)?
Okay, there's a really cool book called Calculus by Michael Spivak (3rd edition is fine). It'll probably be "too hard" for you to do everything in it but I really recommend just reading some of it. It gives you a great sort of view of what a lot of this continuous mathematics stuff is all about.
I think the math sorcerer has a good series for math self study
You might need to review or learn "how to prove stuff" to understand the arguments in anything you read. There are a lot of recommendations here for that. I have some personal recommendations for that as well if you're interested
Sure will do. Have a good day š
By the way, I'm not recommending that you even try most of the problems in that Spivak book, I'm actually just recommending that you read his prose and try to understand the arguments he's making there at first. If eventually you feel like, "this is really interesting but I feel like I can't read the prose of the first few chapters and follow the arguments without being really confused" I recommend you work through a lot of this book: https://archive.org/details/modernintroducto00dolc . I think this is the kind of book people used to use at the high school level in the U.S. at one point. You can read it by making an account on that site, The Internet Archive (it's a library).
Don't be worried by the term "analysis" in the title there, it's a term they used to (maybe still do) use in U.S. high schools for "the course before calculus."
What real analysis books do you guys like that focus heavily on motivation?
Particularly in the context of real-world motivation, not just math-in-a-vacuum-motivation
Like I like how this introduces Riemann integration
https://www.amazon.com/Analysis-Introduction-Proof-5th-Steven/dp/032174747X/ref=sr_1_2?keywords=lay+analysis&sr=8-2 this is the book I used to get analysis enough when I couldn't understand Rudin
HAHAHA That was the first book I used for it too!!
Thatās cute
Ig I mean more like practical real-world motivation?
Like if there was a āreal analysis for physicistsā
LOL
so i literally searched "real analysis with applications" and this book seems promising https://link.springer.com/book/10.1007/978-0-387-98098-0#toc
Kot's Elements of Mathematical Ecology
Mohri's Fundamentals of Machine Learning
Shreve's Stochastic Calculus for Finance I & II
Can I be more picky? š
Iāll take a look at this ty!!
beautiful book, I used it as well as my first analysis text
spivak has a solutions manual available for purchase as well
you can find both books on amazon
Table of Contents Math Books. Index of Solutions. The Blog. Math books. List of the best math books. Recommendations for the best books from calculus through specialized topics. Some image credits on the blog belong to Anglotopia.net. Index of Solutions. Index of all of Stumbling Robotās solutions to math exercises. Listed by subject. The Blog. ...
has some book recommendations
pretty good recommendations
Doesn't bash Axler enough 2/10
Also Lee Top Manifolds is absolutely a substitute for Munkres lol
Also the "differential geometry" list is a mess
Anyway I'm bored
What is the main problem with Axler?
Treatment of determinants and characteristic polynomials is smooth brained
@sage python you mentioned you were a grader for a course covering spivak's calculus book. do you have a syllabus? also, were all the students people who had never taken calculus before?
The class I graded was mostly students who had calc
I took a class in undergrad and with only eh calc background
(Maybe more than AP Calc AB, less than BC)
so it was an "honors calculus" class as pete clark would say?
btw this guy pete clark has full notes for this sort of class
clark visited paul sally the summer after his junior year of high school at an interview at u of chicago
just some trivia
Okay lol
Very different
Yeah seems he visited Sally, said hey I did AP Calc and some multi at JHU, Sally's like aight read Spivak. He did that, placed into honors analysis. Not sure who taught that
What specifically is the issue with his approach? I admit that I am not that familiar with his book though.
But then he graded for honors calculus, which is what I took first year
384920: he dodges determinants and presents char poly for C as generalized eigenspaces. So the equivalent of "triangularize the matrix and take product of (t-diagonal)"
And then for the real case he says "complexify and take the char poly, zomg11111 the coefficients are real"
And if I asked someone on a linear algebra oral final to define char poly and they did that, and couldn't produce a native definition of char poly to R
That would hurt their grade
Also idt he does much (if any) mulitlinear algebra
Ok I see
I think it is quite hard to define the determinant in a useful way without multilinear maps
I mean you can do it with that sum of permutations of elements, but the other way is also quite useful to know
Has anyone experienced this sort of issue with pdfs where the latex part goes way below the line? This is happening for me with all native linux pdf readers.
For reference this is knapp's basic algebra. Also, idk if this is the correct channel for this so remove if necessary.
have you tried okular?
This is okular
I also tried evince and other common pdf readers
oh sweet, a new all-in-one open source ebook reader i haven't seen yet
what have you tried and which did you like most
okular is the default reader for kde, it's a native kde app if I remember correctly
doesn't happen on mine, why is your pdf yellow though?
I have the bgcolour changed for comfortable reading
well i changed my bgcolor to match yours and it didn't happen so...
this is okular? why's yours so yellow
might be a case of
of?
what's your okular version?
okular 22.08.2
mine's 22.12.2-1, maybe downgrading will help
can you send the pdf you're using maybe the pdf doesn't have this issue
I like okular the most, it's the most comprehensive; supports almost all books formats although for ebook formats there are better ebook readers.
Another most common is evince, probably the most well known. It even has few useful facilities that okular lacks such as automatically expanding the bookmarks as you read although it's more of a poppler (backend) issue than a kde one.
Other than these foxit reader works fine on linux but it doesn't have night mode on the free linux versions.
No idea about adobe reader, haven't tried it
Book recommendations for people self studying? From middle school-high school level please :)
Iām currently at pre-algebra level, slowly moving onto geometry and algebra 1.
And some good workbooks too if possible
well, turns out this is the 1st edition not the 2nd edition. nvm I'll just use judson
Are there books which classify certain properties of various Banach spaces, such as what the compact subsets are for example?
I've saw such a characterization for l^p spaces in a book by Bogachev
Ok thanks. I saw something about that one having a condition on the summation of the tails approaching zero uniformly. What was the name of the book?
Real and functional analysis
Ok thanks. I'll take a look in that book.
if you are interested in compact sets in Banach spaces, you are probably also interested in compact operators (maps bounded sets to compact sets)
Ok thanks. I will look up more about this topic.
Well, most books will specialise in some area. At the moment, your request is quite vague so it's hard to suggest anything. Perhaps you can mention the topics you are interested in looking at or how much knowledge you have at the moment.
Sorry, To tell you the topics, Logic, Algebra, Geometry, Topology, Analysis, Number theory, discrete math
Princeton companion to mathematics
wtf it's writen by 130
Are you sure you wanna get into logic, beyond the basics like what is a conditional statement?
Of course, there must be some books outlining the basics ahead.
Getting a book on logic won't really help any of those other areas unless you need reasonably advanced results. I don't know your background, so if you are not familiar with discrete maths, you can start there.
Otherwise another option is something like Analysis I by Amann and Escher which covers some analysis and a bit of the discrete maths in the first chapter. Otherwise you can take a book like Real Analysis with Applications by Davidson and Donsig if you would like something less abstract.
For algebra, again I'm not too sure what your background is. I only really read algebra books when I was very comfortable with proofs, so I don't have many good suggestions. Perhaps try Undergraduate Algebra by Lang. I think many of Lang's books are quite clear and you learn a lot about how to think about the subject, but they can be a bit abstract at times.
I don't have great recommendations for the rest. But those two subjects are quite important.
My goal is to become a math pervert. Just know that your help has been great help to me. Thank you.
You're welcome and all the best with learning more maths!
A film by Reine Graves and Edward Frenkel
is dr. frenkel your inspiration?
I don't know who he is
Hii guys! I've a question
Any book suggestion for the preparation of this test
general mathematics!! I don't get it, what does it mean?
general abstract nonsense, it's in the category theory III class, right?
Multi-part question:
When should I incorporate proof/logic into my mathematics learning (self-study) and what would be a beginner friendly book?
(Currently trying to learn Calculus 1)
Hmm but this is for undergraduate students
š¶
Yeah I've read that. Just wondering everyone's opinions on when is a good starting point
hmm but I've only 2 months for preparation
any kind of outlines or topics that's would be enough for this test
incorporate it now
just use a book like apostol or spivak
u get to do both
(learn calc and proofs)
Cool, thanks š
dunno about logic tho
I haven't actually read this yet but it was on my list of books to look at and from what I can see it looks excellent: https://forallx.openlogicproject.org/forallxyyc.pdf . It's called forallx: Calgary. An Introduction to Formal Logic. It teaches you something called Fitch natural deduction which is used for proving things.
Appreciate it, I'll check it out
"Soil heats up much faster than water when the two are exposed to sunlight. Use that fact and your understanding of heat transfer to predict which way the wind will blow near the surface of the earth as the sun rises near the seashore." Hello hass anyone seen this type of question in any book?? If yes can you please name the book? Although the chances are very slim still the power of internet can not be underestimated!! Thanksss!!!
Aye thanks for the inputt!!
šš i think we got it!!!
This could potentially be the name of the book
But still if anyone else finds a clue let me know here thanks!!
This sentence appears to be a question from a quizlet flashcard set titled "How Things Work Chapter 3"¹. It also appears on other websites that provide solutions to homework questions²³.
Source: Conversation with Bing, 16/03/2023(1) How Things Work Chapter 3 Flashcards | Quizlet. https://quizlet.com/443180573/how-things-work-chapter-3-flash-cards/ Accessed 16/03/2023.
(2) SOLVED: Soil heats up much faster than water when the two are exposed .... https://www.numerade.com/ask/question/soil-heats-up-much-faster-than-water-when-the-two-are-exposed-to-sunlight-use-that-fact-and-your-understanding-of-heat-transfer-to-predict-which-way-the-wind-will-blow-near-the-surface-of-th-85204/ Accessed 16/03/2023.
(3) Solved Soil heats up much faster than water when the two are - Chegg. https://www.chegg.com/homework-help/questions-and-answers/soil-heats-much-faster-water-two-exposed-sunlight-use-fact-understanding-heat-transfer-pre-q72247334 Accessed 16/03/2023.
I don't think he meant it that way guys, lol
that's what a math pervert would say
What would you all recommend as a game theory textbook for an advanced high schooler
My university course would recommend this one https://www.cambridge.org/core/books/game-theory/B0C072F66E027614E46A5CAB26394C7D
Is there any difference between thoamsā calculus and thomasā calculus early trasidentials?
Does anyone know which Stanley book covers finite difference methods?
log, exponential, and trig functions are treated earlier in early transcendentals
the "late" transcendentals version postpones using them until sufficient calculus machinery has been developed to rigorously define log, trig, and exponential functions
it doesn't matter what you go with tbh
though early transcendentals seems more popular since science and engineering students need to see those functions early
Ahh alright, thanks
What are some good discrete geometry books? I only know Adam Sheffer's book
Winning ways
Wow
The only discrete geometry book i'm aware of is GTM 212 "Lectures in Discrete Geometry".
Hey any advice on how to approach the book "Problem solving strategies" by Arthur Engel ?
This seems pretty good, thank you!
What's the baby rudin of game theory?
People usually don't take game theory as a mandatory course
hm, what I need is a terse reference
Rudin is an introduction 
ok, but a terse one
I can hardly call it a reference but alright
Do you just need a textbook to study from
according to this post, "game theory is a big field with several essentially disconnected areas, and one can't really hope for a comprehensive introduction from a single text." can you explain what you want to get out of a game theory book?
i've also found some other links
14 votes and 13 comments so far on Reddit
10 votes and 16 comments so far on Reddit
according to this post, "game theory is a big field with several essentially disconnected areas, and one can't really hope for a comprehensive introduction from a single text." can you explain what you want to get out of a game theory book?
Thanks, that's already helpful! I was starting to feel crazy that I couldn't find "the reference" to get started.
doesn't game theory has 2 types , the combinatorical game theory and economics game theory.
maybe a bit advanced but on numbers and games is very cool
just might be slow going
Hey thanks for listing more links @remote sparrow š
The combinatorial game theory is the meta
For combinatorial game theory you could probably do winning ways or lessons in play then do combinatorial game theory by Siegel
Hi people, i'm someone who's actually learning undergrad axiomatic set theory, is there other topic of pure math that i could learn at the same time? If there is, could you recommend some books? Thanks.
mathematical logic
could read goldrei, enderton with montalban's youtube lectures, or mileti
Could you share the name of your textbook?
I'm learning with these three: (1) Set Theory A First Course by D. Cunningham, (2) Elements of Set Theory by Enderton and (3) Introduction to Set Theory by Karel Hrbacek.
Cool thanks.
AoPS has too many books to choose from š Any recommendations for an 11th grade student (germany)? Im good at maths but not extraordinarily if that makes any sense.
do you have any experience with competition math?
A tiny bit, I participated in some first rounds (school round) of the german math olympiad, but mostly in 3rd to 5th grade. So no experience to really speak of I guess
11th grade first round problems would be really hard for me to solve
We just got started on derivative basics a few weeks ago @sterile harness
Ok if you were in the US Iād prob say Intro Algebra but idk about German school system
How in depth do you think you learned Algebra
you can take the tests that they have
that test if youāre prepared or if youāre good enough for the book
are you talking about the intermediate algebra one?
No intro
I know it sounds kinda easy but they give much deeper understanding and challenging problems
Ok honestly that test is way easier than the book
oh in that case thee book is probably good
cause the test isnt "hard" but also not trivial I would say
alright then
hf w/ it
After that just do geo -> counting and probability -> number theory (if you decide to go on with it))
tyty :))
Working on some Toric Variety stuff, and it seems like i should def know some Classical Invariant Theory
anyone got a reference for that
at abt the level of shafarevich/hartshorne chapter 1
i feel like i gotta be able to find this in any CA book
any good (undergrad) books on PDEs that only cover linear PDEs?
2nd order linear PDEs
question, what are really good calculus books out there that show at least calculus 1 and 2
beginnign of Evans, mostly
thanks
I would like to read a math book for learning/fun. Any recommendations? Im in 11th grade in Germany (just began learning derivatives)
if you want a real math book read Tao's Analysis 1.
But if you are focused on winning olympiads for now then you may have to cram the AoPS books
Unfortunately there' s a choice to be made here, and I wish there wasn't, but yeah. In the long run learning actual maths is better but olympiads could let you get into prestigious unis if you win some good prizes
I actually didnt plan to do olympiads at all, but that might also be interesting š¤
Why not? There's no rule that says you can't learn analysis before calculus
I dont even know what the difference is š
Calculus is just a gimmick to do analysis without understanding why what you're doing works
It wasn't meant to you, sorry
all good
Calculus is the study of functions, continuity, limits, derivatives, integrals... A shorthand way to understand derivatives would be as rates of change of functions
Does this mean that there is a better explanation for derivatives? They feel like cheating to me š
Limits help us study what happens to the value of a function when you get close to a particular value
Actually it's better to think of them as a linear approximation of a function
Which in one dimension, manifests itself at a rate of change
thats interesting š¤
idk if it's best to think of them like that. seems more like an application
I was thinking about their limit definition and it seemed like you try to get closer and closer to a value but WHY do you "reach" it if you are just getting closer and closer if that makes sense
No in the multivariable case, this is the way to think about them
idk in my class we still did linear approximation as an application more than a viewing of them
That's fine, just saying that the 1D case can be seen as due to a more general thing
atleast over R, seeing it as a rate of change works well imo
Not sure what you mean, can you make it more precise ?
1/2, 1/4, 1/8.... has limit 0, and the set {1/(2^n)} does not contain 0, so can you say 1/2, 1/4,... reaches 0?
so basically, the two points x|f(x) and x0 f(x0) are moving closer and closer together to approximate a tangent at x. But why do we eventually get exactly the tangent if we are just approaching it more and more closely?
it never gets to it exactly
but the limit is the notion of like kinda what would happen if we did go to infinity
or infinitely close or whatever
tao analysis actually starts with natural numbers and logic/proof, so it does indeed start from the beginning
the real worry is that a student in highschool might become too bored with it, but we'll see. there are many self-motivated students out there 
I wish the book did metric spaces earlier
I wish the book did analysis earlier š
That too lol
the construction of the number systems should be covered at some point in every year-long real analysis course. minimally, one should impress on the reader why completeness of the reals is so important.
strauss, zachmanoglou, and weinberg may be some other helpful choices
thanks
I don't even know exactly what type of book I actually want to read and for what purpose š
hello
where can i learn about older AG
like problems and motivation
before the abstract language
adn what do i need to know
hartshorne chapter 1 
yea i really wanted to try out harthshorne to see whats the fuss about
but i didnt complete atiyah mcdonald so..
didnt know if i had enough background
i would recommend doing more comm alg, like you should be comfortable with the Nullstellensatz and stuff at the least
atiyah mcdonald uptill what chapter
so i can read harthshorne?
i just wanna explore for the fun of it and do problems
kinda depends on what you wanna do, like i'm p sure hartshorne uses every chapter of Atiyah Macdonald (and more)
@finite crane You recommended the AoPS books to me. Do you think the first contest one is fine for a grade 11 student (not sure if I mentioned my grade yesterday) or should I take a look at some intro ones before that? Asking because they are actually quite expensive
unfortunately I don't know your level
the book doesn't seem to have a "are you ready" thing sadly
for instance at grade 11 I was already well set into olympiads
I would say I don't know that much more than the normal curriculum
well but that doesn't help because you don't know it obviously
hmm
you also have to take into account whether you want to pursue olympiads now. high school is short
all depends on your preferences
Well I'd say I would like to try, probably some good experience to be gained there š¤
sounds like you know what to do then
@analog lava if you don't want as much commutative algebra there are some other AG books that are classical and rely less heavily on commalg
You are probably right š I'll try
what do you guys think about principles of mathematics by bertrand russell? i read the first couple pages and nothing so interesting so far
only relevant as a historical work rather than as anything to seriously study
russell himself said as much later in his life
damn
i think AM then is the best text for com algebra ig
i jhust want to have motivation
like there was AG before like comm alg and i just wnat to knwo what these people are trying to do
what problems are they trying rto solve
and what problems did they actually did and what they couldnt without the new tools
do u get me
You can read more classical algebraic geometry
You can see it used in more concrete settings if you want motivation
Algebraic curves by fulton is whats used for the ug alg geo class at harvard. I think Ideals, varieties, and algorithms; codes over algebraic curves are cool books.
algebraic curves sound cool
https://people.math.harvard.edu/~bullery/math137/ you could try to follow the course
this looks like new AG but dumbed down
I wanna try to get into topology, what's a good book rec for beginners? (background: only high school math)
Munkres

I remember Armstrong's book takes a slightly nonstandard approach
And there are few books that have a different take on the subject
oooo, thank you š .
but uh if you only know highschool math you would probably spend some time working through the first chapter talking about like
I have not read them so I cannot say anything more
sets and logic stuff
everything is proof based as you might already know
So you will need to be comfortable in some capacity with proving things
yeah
, it's okay, I'm trying to self teach myself about it before college.
š
I recommend learning about metric spaces first instead @dawn mirage
They're more intuitive and a lot of topology lingo and definitions comes from them imo
A book here is Topology of metric spaces by Kumaresan
Though it does assume some knowldge in examples from what I saw
(e.g. integrals give raise to interesting metric spaces)
Imma be honest with you chief
"my math textbook of highschool" isnt a lot of information , how am i supposed to know what book you are talking about?
And generally speaking the book choice isnt that much of a big deal at highschool @gray gazelle.
There's Lang
Hello there.
I've recently had to take certain applied courses which require certain knowledge of Calculus.
I've passed both Calculus 1 and 2 during the beginning of my undergrad years and had great difficulty through its lack of proof. I've also passed two analysis courses (the first taught on Kenneth Ross and the other from baby Rudin) and strangely, even though the fundamentals of Calculus is discussed in the analysis courses, the subject is too fundamental to help with Calculus itself.
So, I imagine a proof-based calculus book is still not analysis as it is usually discussed in math forums.
All that said, I was wondering if anyone had a proof-based calculus book that is able to bring me up to speed with the necessary material? Something better but with a generally similar set of subjects as James Stewart's Calculus books.
Thanks in advance!
its stp mathematics 3a
any book with good explanation and doesnt assume the reader knows something
What topics are you looking for a textbook on
Because I have no idea what math 3a is
And generally speaking, the specific textbook used for high school doesn't matter
You can very easily supplement your current textbook with just looking stuff up
Why do you want topology
To explore a topic I assume; out of interest
What's the point of that question, Alrighty is still in high school
I feel like learning about metric spaces first makes more sense than going straight into topology, no?
Though I guess it's not really necessary
Yeah. That's where all motivation and geometric intuition is
well invictus' question is to gauge why they want to learn topology so they can taylor recommendations supposedlty
My point is that a person in high school might not know why other than simply "out of interest"
It'd be surprising otherwise
"out of interest" is an answer to the question, and its not what your point is, you specifically asked the point of the question
It was a rhetorical question
if it was rhetorical, that would mean that you wanted to imply its a pointless question, which as i stated is not
so you are wrong in either case.
Some people might want to learn it for itself, some people to learn algebraic topology after which I would recommend different books for
Maybe not as much pointless (those are your words), as you can safely disregard that as the person you are asking is still in high school
idk what ur saying anymore. some coherence please.
anyhow I myself did AT in highschool and know many other who did other stuff with topology, so idk why highschool disqualifies people from knowing what they want with their topology
and before you put some specific info about the person requesting, how would invictus know lol
infact the point of asking is so he could learn that info
I never said it disqualifies them. Just that it's a safe assumption to disregard that. Besides, don't you think that if someone knew what kind of topology they want to learn wouldn't be specific about it
this is called communication, you ask questions to figure this stuff out instead of assuming
They specifically said they want to learn it for college anyway. Thus just your standard topology
Except for the part where they didn't
i dont really know what ur saying anymore
tfw arguing in book recommendations
Sure I interpreted it this way though @finite gale
I didn't see that one, my bad
I dont really know how you can go from that to "they dont know why they want topology for" but you do you lol
that will take me from beginning to end'
3rd yr of secondary or grade 9
like a begineer math book i need to fix my foundation of maths
commercial maths algebra(quadratics) trignometry surface area and nets and volume of shapes circle properties etc'
But i am looking for a book that could fix my foundation of maths as of now
hmm
Instead of a book , you could use this website " https://www.khanacademy.org/math/in-class-9-math-foundation" but as i said your book should be enough.
youtube must have plenty of friendly videos too
If you do as many exercises as you can or feel as needed, you should be okay tbh
because i dont think many people in this server have the experience to tell you about "good grade 9 books" better to ask your teacher
thanks
But also khan academy is good resource for pre-university material
but it assumes i know some stuff which i dont
I think they also have generated problems with solutions so that might be good to do as well
well he referred to a pearson ebook which would prepare someone for a levels!
they do but their formulas sometimes my tr doesnot like them
@gray gazelle Lang Basic Mathematics
ok lemme check that out
by lang serge?
just confirming
Lang's Algebra is not a continuation 
Yes
i think i see this guy in youtube sometimes with a black screen writing stuff and teaching
the emoji scared the hell out of me
Any good math pdf? for calculus 1
I see I see, I'll probably study both at the same time cause it's just for fun atm.
It just looked like fun and challenging
.
Topology is really fun, good luck
thanku š .
guys
how do i read books
wihtout getting bored asf
i need a book thats liek enticing to read and keeps me hooked
idk what happened but i suddnely jsut got bored of books
or my book decisions arent good
oh wait i forgot this is math server iw as talking about normal books š
getting into the zone of reading is a time taking process
start with something simple and short
like a novella or a short story
and then slowly try to move ahead
kingkiller chronicles
Any references for integral equations? I'd like something that tries to go over both the specific solution aspects (at least for simple Volterra and Fredholm equations) while also covering the general theory (which I believe is functional analysis heavy).
I have a book (actual physical copy) about this, but idk how good it is. It covers Volterra and Fredholm equations. Let me see the title one second

Oh wait I don't it has an English version
I see
Math at its core is about establishing truths separate from sensual qualities, seeking patterns based upon these truths, systematically removing contradictions/inconsistencies from the patterns, and formulating conjectures with all of the above in mind. It is the one true language apart from reality which makes it ironic that it is so useful. He...
try looking here
They don't even recommend any good point-set topology books
Those two are not really that good, Lee is viable, idk the third one
what do you think of the book: a synopsis of element of mathematics?
is willard bad? I heard some praise about it few months ago
My experience with Willard is one proof. Not only it's wrong, but also written in a way like everything is obvious, preventing reader even more from clarifying the mistake
If the whole book is like that then idk
The material he presents is really cool though...
Like I had the same proof in van Mill but it was elaborated on more so I could fix the mistake but good luck to anyone who stumbles upon it in Willard
š
@sturdy shore
Willard to me feels like it has the same problem as Munkres where it just seems like it has way too much shit
For most people spending that much time on raw point-set topology is not useful
Well sure it feels like there is 3 types of books from topology
Topology everyone should know, topology an AT person should know and topology for topology sake
do what i did: work through Viro's problem textbook Elementary Topology
Blitz I wouldn't quite say that
I would say there's a "core" amount of topology
Then it kinda veers off into different directions
3 types of topology: general topology, algebraic topology, (smooth) manifolds
Blitz is saying within point-set
Basically everyone should know about, okay basic defs and results about a topological space, quotients/products/subspaces, connectedness, compactness, continuity, sequences, Hausdorffness, and in particular metric spaces
Maybe nets/filters are also good to know (though depending on what you do... might not be necessary)
But then it's like, each area kinda has its own set of fucky spaces that you care about
For categorical reasons in algebraic topology you may want compactly generated weak Hausdorff
Analysis likes nonsequential spaces a bit, so you actually need nets/filters to properly probe things. Closely related are countability axioms. Apparently in some settings you like things called "uniform spaces", where (as you'd expect) you can make sense of uniform convergence/continuity
Probably also analysis, esp functional analysis (maybe topological dynamics?), is where you care about those weird theorems like Tietze and Urysohn and all
Zariski in AG is prob the main example that comes to mind off the top of my head where people care about non-Hausdorff things. Number theorists like profinite shit
etc
So it's kinda pick your poison with how much topology you need beyond the gcd
Mazurkiewicz theorem
haven't read it in full yet but I've yet to find a contender
hmm I haven't reached there yet, I've read it until like halfway through the compactness part
I have found a couple mistakes but none in the proofs, though ofc I might just not have the expertise to spot the mistakes
It's a result about existence of arcs in metrizable spaces with enough assumptions
Connected, locally connected, complete metrizable I think
I'll keep it in mind, but I doubt there are loads of egregious mistakes like that
nlab actually cites willard as reference for the proof of that theorem lol, so if you are right about it that is actually pretty bad
i think I have no excuse not to know what a net (in topology) is at this point, does anyone know good books that give a reasonably comprehensive theory of them?
willard - general topology
Unrelated but I actually found errors on nlab before lol
It was a result in AT but not relevant to general theory where spaces are assumed to be nice enough so no one cared

will check it out
mainly want to understand the result continuous <-> sequentially continuous with nets, that result has been at the back of my mind for ages
Just shows you people don't actually always check if those things are correct, and write down the same errors
i do sometimes see errors copied across sources
like i remember there was this weird omission of a step in yosida (?) that was copied almost word-for-word from the original paper and i never figured out how the argument worked the way it was supposed to
this is actually a peak Mathematician Moment negl
Yeah I think Willard and van Mill are the only books with this version of the theorem, others prove a slightly different (iirc less general) version using different methods
Ping me if you get to that part, or dm, I'll send you it but you need to correct it yourself
The proof in van Mill is much better

Oh, I don't think that discredits the whole book but I'll probably stick to other books then anyway I don't need to much point set
Have you worked it out cover to cover? Also did you use any other book as supplement?
i worked out the first half
the part about general topology
I see and any other book used in conjunction?
i used different books
not munkres tho
but the book i really solidly learned general topology from was through working thrrou that book
well that was somewhat underwhelming - TIL I guess
Can you elaborate? I'm interested in that topic as well.
Can anyone recommend books on D-operators with differential equations?
idk it's all quite simple in the end
if i taught a general topology course it wouldn't be much to just stick at the end
Okay, thanks.
Before reading this, my friend TAd last semester for an analysis class that kinda ran out of Munkres
And uh
Nope
It was not great
It's basically evidence that multivariable Riemann integration is stupid
What approach do you recommend for multivariate integration?
I mean Munkres or more likely Spivak might be fine if you wanna learn multivariable Riemann integration
But tbh? Just do measure theory is my take
Like using Tonelli's Theorem?
That, change of variables as well seems much better with measure theory, etc
I've studied these theorems but I don't think the books I used had any examples of practical integrals, but I might be mis-remembering
I need to re-study measure theory from scratch after finishing the appropriate chapters of this Carothers book
At the time I didn't think much about practical examples, I was just going through the proofs of the theorems
Try "Functions of Several Variables" by Fleming
Iirc it actually does multivariable using measure theory
Hey, I've seen that book, I'm surprised to hear you mention it
But it's a multivariable calc book rather than a measure theory book if you get what I mean
Yeah, I have a syllabus for it (two actually) but I had taken it off my reading list
Since I sort of gathered that you can do multivariate integration with measure theory the same as the Riemannian way, so I didn't see the point of working through all those justifications/proofs... is that kind of the correct "take"?
So, the theorems in multivariable calculus like Fubini and change of variables can be done both with measure theory and with Riemann integration
The latter proofs, as far as I can tell, tend to be gross
Measure theory takes slightly longer to get through at the beginning, but you'll have to learn it eventually anyway
I mean, for example, the integral of x^2 I assume works out to x^3 / 3 + c.
(with the standard Lebesgue measure or whatever)
So, once you have Riemann integral on R, and especially fundamental theorem of calculus
That's really how you'll compute a lot of stuff
And anything that's true in Riemann integration is true in Lebesgue
Oh, right, isn't there a theorem that says the Riemann integral is the same as the Lebesgue integral in a lot of cases or something?
(I know I sound like an idiot, I have not learned this stuff systematically.)
I'm just trying to get a sense of the map of the terrain ahead.
Yeah
Cool thanks š
If a function, let's say on a compact rectangle, is Riemann integrable, then it's Lebesgue integrable and the integrals agree
So Lebesgue basically subsumes Riemann
(Improper is mildly messy)
Got it. Thank you. What do you think of this book for studying measure theory: https://link.springer.com/book/10.1007/978-3-030-38219-3
I came across it sometime recently.
Hmm, looks fine? Not super standard, idk if it does the multivariable calc stuff you'd want in Munkres (e.g. differential forms)
Oh, I am not concerned with that part, thanks, I just meant in general
Ah, so as a measure theory book it's probably fine. I am more familiar with "Real Analysis for Graduate Students" by Bass
I liked how this is one book for both functional analysis and real analysis, and that it covers the nets/topology stuff
And then there's also "Real Analysis" by Folland which is probably the most common book
I don't think it's a book for measure theory. I've only browsed first pages but it was functional analysis
Both of those two do some topology and some functional analysis
Yes I'm sort of trying to avoid that book, the last time I tried it it was like super dense, maybe I could try it again
Maybe try Bass then?
Like this looks fine but I don't know it as well as I know Bass
Really? The first 150 pages were topology and measure theory.
So I can't quite recommend it with my full chest
That's okay I just really appreciate your advice so wanted to run it by you! Appreciate you taking a look at it.
interesting
I wasn't asking because I knew, but because it didn't seem like a book which would introduce measure theory
Oh that's fine. I'm not sure if it's a good introduction or not since I don't know that material well.
Where can I like read up on-
how to do p series, calculate/simplify expressions with capital Pi (its usually easy for those expressions with only Sigma, but Pi?) I'm not exactly sure what field of mathematics this would be considered.
Analysis, although books rarely focus on the techniques of computation themselves
ic
But rather concern themselves with results about convergence, etc.
You will still end up getting a hang of some of the common ideas
By proving results about them and doing exercises
gotcha, ty
gradshteyn's book or similar handbooks on integrals, series, products, and mathematical formulae may interest you

1k+ pages book, isn't that difficult to find interesting things in particular
hmmge
some are okay (in terms of length), but 1k pages is a bit... overkill? Idk, I should probably check out the content before judging too quickly
Gadshteyn is definitely interesting though, I will say. Maybe you can take a look at the sections that you want to focus on first.
functional analysis book recommendations ?
undergrad or grad?
why do you want functional analysis? if its for operator algebra kinda stuff (or softer analysis as one might say), id recommend pedersons "analysis now"
for undergrad I think "linear functional analysis" is good
undergrad
whats your background
i have finished real analysis and point set topology
real analysis as in? first year level or stuff with measure theory
measure theory
I see, and you didnt answer but is there anything in particular you want to explore with func analysis
i just want to learn the subject
right i see
hmm I like pederson "analysis now" but it does lean towards operators rather than things like PDEs
I still recommend it because it is a really good read
alr
Any module theory recommendations?
what's the author's name ?
rynne + youngson
it doesn't go very deep, but it covers a good selection of contents for undergrad
@turbid mural
alr
imo if u know measure theory you can probably just go for a grad level book, but its upto you
i will start from the undergrad stuff first
ngl I'm always surprised how little some undergrad books cover lol
right vmm kek
it makes it easy to tutor UGs though, i just learn whatever topic in a week lol
(its how i learnt model theory at first, some UG wanted me to tutor them)
if i cant find the youngson book i might just go for the grad one
Do you have something to differential equations?
you can find it on certain websites (if you know what I mean)
Hello
wanted to start learning calculus. any recommendations?
Pauls' Online Math Notes, Khan Academy
Spivak's Calculus if you want smt a lil more rigorous
i find Peter D Lax's calculus book to be useful and more in depth than others
Functional analysis by Conway can give some fundamental knowledge abotu functional analysis and Classical Functional Analysis (maybe this name) by Lindenstrass can give some relatively new things about topics of spaces
thankss š¹
thank u š¹
some books recommended for basic pde? (true basic, i've already learnt ode before
Evans' PDE is a standard reference
thx
evans is not basic undergrad pde. it's basic grad pde. you probably want strauss, zachmanoglou, or weinberg instead.
does grad pde need undergrad pde?
no
but arguably its prerequisites are more sophisticated
undergrad pde just requires some basic ode and real analysis
grad pde needs functional analysis and measure theory
oh fouturnately i've learnt fa and measure theory before, maybe i'll try one of those recommendations
thx very much
anybody?
basically nothing, but basics of mathematical analysis. Tbh, all I know, is differential equation is in form y'(t) = f(t,y(t))
I want it, because I can't keep up on my teacher on uni, on 2nd year of bacherol
yeah
Guys I have Bartle and sherbert book, I wanted to ask, for a thorough study of real analysis, should I read each and every chapter of Bartle and sherbert ?
Including the chapter 1 of preliminaries
Where they discuss Infinite sets, machines and transformations, sets and Mathematical Induction
preliminaries are preliminaries, you should read it if you don't know these concepts already
Hmm ok
Yeah, what lems said ^ skim stuff that you already know to make sure you know it
Maybe do an exercise or two just to be sure
Then do the stuff you don't know
Ohk gotcha
you can use evans then
Okay i ll take a try! Thank u so much!!!
I would skip the "gauge" parts (some of that was in Chapter 5). I would also learn integration from another book.
My teacher actually said to study everything from it
Is the integration part not good ?
If so what book would you suggest for it
I don't know because when I was reading the book I noticed that those parts were kind of different from some other things I was looking at, so I just skipped those parts.
Hmm
I just learned the standard Riemann integral treatment, not the gauge-based stuff they have there.
I'm gonna practice problems from Kaczor and Nowak
Gauges are used to define something they call the "generalized Riemann integral" (Henstock-Kurzweil integral). But that didn't seem very relevant to me at the time, I just wanted the regular Riemann integral that most people talk about.
Hmm
The benefit of the Henstock-Kurzweil integral is according to Wikipedia that it's more general than the Lebesgue integral. But I think the Lebesgue integral is good enough for my purposes anyway.
I'm studying real analysis for an exam
Which I'll give in my final year of uni
For masters and all
Oh, well then just do whatever that syllabus says.
Ye
Kaczor and Nowak has really good problems
I love that book
Even tho I suck at solving most of its questions atm
Hehe
For most purposes other integrals don't matter
Good to know š
Hmm
Idk why people think I'm a spoiled brat cause I take notes on an ipad
I have ADHD and OCD (some symptoms) and messing up notes makes me cringe hard
How is that relevant to this channel

Hello, what books and resources you guys suggest to learn linear algebra ?
any recommendations on differential geometry for newbies?
newbies as in with experience in multivariable calculus and linear algebra
Warning this is not first hand information, the author is not knowledgeable about these matters so questions should be directed elsewhere
Source: http://www.geometry.org/tex/conc/differential_geometry_books.html
Do Darmoās Differential Geometry of Curves and Surfaces if no Topology.
@gray gazelle thank you, i'm going to check it out.

