#book-recommendations

1 messages · Page 190 of 1

delicate canopy
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without losing comprehensive knowledge at least

pulsar aurora
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They may be geniuses, liars, or someone already acquainted with the subject. The rate one reads is partially based on comprehension be it the subject matter or the language itself.

hearty steppe
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^

marble rock
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i learnt some basic vector spaces/linear algebra ( known more about vector spaces and their transformation matrices , proved some theorems that i cant remember any of them ,and learnt more about dual spaces and eigen stuff which idr at all )

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how cna i move even more forward

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is there more linear algebra?

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if so any book recommendations for more adv linear algebra stuff

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or maybe rep theory for someone who knows upto galois theory

marble solar
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Well it depends on what you're interested in; infinite dimensional vector spaces/hilbert spaces is one way to go from here

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You can go to representation theory

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You can go to algebraic curves, instead of studying zero sets of linear polynomials, you can look at higher order polynomial zero sets

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You can go to differential equations

tight crag
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You can go into lots of matrix normal forms and factorizations

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They are pretty important but probably a bit boring to do by yourself

sudden kindle
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@tight crag how prepared r u for the Algebra qual

tight crag
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I've done a lot of galois theory recently

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I prepped rep theory and group action stuff/sylow stuff at the beginning of the summer

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I'm pretty prepared

sudden kindle
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Maybe I should start preparing. . .

quartz pawn
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@marble rock There's a tone of resources. Right now I'm learning out of a book that is one of the standard books which would be considered a rigorous and probably hard book for a first course in LA. Friedberg's Liner Algebra, and I've got a few others too. "The beginning linear algebra student that a graduate student ought to know" is one that is pretty rigorous and "Advanced Linear Algebra" by Noehl. A standard text is also "Advanced Linear Algebra" by Roman and I've heard good things about it.

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If you really want to more linear algebra after any of those and how it's used, then you probably want to get a book on Matrix Analysis. The Horn book seems to be is the standard on that.

marble rock
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what does rep theory do

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does it just solve gt problems by turning them into linear algebra?

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or is there more to it

trim narwhal
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Do you know any good book for Precalculus?

vague pelican
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why not jump into calc

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most calc books have introductions for functions and stuff

gray gazelle
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you should meet @gray gazelle, I think you guys could be good friends

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clearly not, he gives bad advice

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@trim narwhal have you considered using baby rudin

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it has baby in the title

hollow current
gray gazelle
odd topaz
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Do you know any good book for Precalculus?
@trim narwhal

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thisi s a good place to start

gray gazelle
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@odd topaz baby rudin.

dapper root
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This guy would tell a parent asking how to teach their 4 yr old addition that they should use baby rudin

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Cuz it’s aimed for babies

gray gazelle
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no, i would obviously recommend dummit and foote for someone so mature and advanced

dapper root
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They want addition not algebra

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They should pick up a set theory book for addition

odd topaz
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"A Course in Arithmetic" by Serre

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"Arithmetic of Elliptic Curves" by Silverman

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this might be too advanced

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I recommend starting with LeVeque's book "Fundamentals of Number Theory"

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and Baker's "A concise intro to the theory of numbers"

wooden sparrow
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Soo many books on arithmetic?

odd topaz
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and Mordell's "Diophantine Equations" which unfortunately is out of print, but you can find it on library genesis

hollow current
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masha just wonder whether are you russian or not

gray gazelle
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vimes

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trying to casually dox people

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good job vimes

odd topaz
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Ethnically @hollow current

hollow current
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nice

odd topaz
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and "250 Problems in Elementary Number Theory" by Sierpinski.

hollow current
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Rosen's number theory is recommended, but i havent read it yet

odd topaz
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I can only recommend stuff I actually read

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then if you want some basic geometry start with "Geometry revisited" by Greitzer and Coxeter

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and Prasolov's book

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"Problems in Plane and solid Geometry"

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And rigby's book

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"Adventitious Quadrangles: A Geometrical Approach"

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oh and Honsberger book

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it's called "episodes in 19th ad 20th century euclidean geometry"

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and then do lots of locus problems to build up geometric intution

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avoid all the cheap tricks like converting stuff to algebra, overusing trigonometry, "complex number", "barycentric coordiantes", applying projective transformation to send a line to infinity

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stuff like that

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"invert the diagram to turn circles to lines"

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avoid all that stuff

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"it's enough to check statements hold at 3 points"

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instead learn the underlying philosophy and intuition behind geometry properly

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never apply symmetry to an entire diagram

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the correct application of symmetry relates points to other points on the same diagram

gray gazelle
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are you ok

odd topaz
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probably not

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i got into a frenzy about geometry

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if you actually want to learn stuff about number theory read "multilicative number theory"

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by davenport

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and "number theory" by borevich and shafarevich

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Multiplicative*

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at high school level

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undergrad level

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if you just want to get good at basic math read the ones I previously mentioned

remote viper
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If you want a good geo book that isn't too confusing, Ckanavi's "collection of math problems for people applying to tech colleges" is very good. My dad used it,so did my uncle, and now I use it.

gray gazelle
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hearty steppe
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Larson is basically like Stuart

dusky orbit
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@odd topaz are you zeb brady lol

gray gazelle
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can someone answer

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my question

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lmao

quick hornet
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theres like 10 billion calculus textbooks out there, it's unlikely people are familiar with the specific ones you listed

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especially familiar enough with all four to be able to give good advice

gray gazelle
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@quick hornet i already recommended him a diff book in #calculus

quick hornet
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i'd guess the "for AP" one is probably most appropriate for an AP couse

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but thats just a guess

radiant crown
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I don't like the covers, I find them a bit off-putting

Also I find it weird to have a website for books specifically writen by this Larson person

When there are several authors, it seems the name Larson is systematically written first, and looking at his website, it looks like he (Ron Larson) has a bit of a personality cult...

Buying one of these books for me would feel like accepting someone's invitation to participate in their pyramid scheme if you see what I mean @gray gazelle

broken meadow
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i got so scared

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im taking a jazz history course rn

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and im reading a larson book

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its thomas larson

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lol

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s p o o k e d

valid moth
solemn mantle
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“The day the first copy was to arrive, I went to the post office and intercepted our mailman. On the drive home I ripped the package open and started to bawl. I pulled over and sat there for 15 minutes, crying, paging through my dream.”

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~ Ron Larson

burnt blaze
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Is this just for math books?

gray gazelle
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i see

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how about this: which book is the "easiest to read/understand" for a person who is new to calculus and will be taking ap calc bc soon?

hollow current
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following polynomial i would suggest grandpa rudin

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but seriosly speaking for basic calculus i think there are a lot of nice books

pulsar aurora
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Depends on what you're looking for. I found Apostol's digestible, but still challenging. However, it's rigorous compared to your standard calculus textbook in college or HS. So, you might spend half the book covering integral and limits, but cover little in terms of the mechanical process (in terms of what you'd be exposed to in a Calc 1 class) until far later. As well, Apostol is unorthodox by starting with Integrals off the bat, so you also be in a weird zone of knowing things in the 'wrong' order.

gray gazelle
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@pulsar aurora apostol assumes familiarity with integrals

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in terms of computation

pulsar aurora
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Perhaps, but I didn't feel I need to be familiar

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After all, the first few pages goes into the computation of an area under a curve before even bringing up integrals

hollow current
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for analysis for now i extremely like Zorich analysis

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it ofc covers what is covered in calculus

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but it may be too hard

weak fossil
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Hey guys, this is a loooong shot, but can anyone see if they can find https://www.bokus.com/bok/9789127435049/matematik-5000-kurs-2bc-vux-larobok/ in a PDF?

limpid gazelle
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Have you looked on libgen

weak fossil
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Found it boss

quick hornet
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good to hear

flint forge
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Jan have you read space and quantity

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Or anything by urs

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Tbf urs also probably wrote space and quantity

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His actual like pubs are just crazy

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But tge point is that like

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The*

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Oh im referring to the nlab page

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But maybe it was

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Anyway physicsts refer to the dumbest stuff w vaguely physical terminology

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Like a space to urs is any topos OR any object of a topos

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And weirder stuff that ive intentionally forgotten

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But quantity is also memed about

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Lost me there

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You could unironically ask urs

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He is weirdly responsive

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In a good way

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Im just usrd to being ignores

hearty steppe
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What book

wooden wigeon
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physics > math

gray gazelle
tawdry flicker
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@wooden wigeon nah math is beautiful (i personally want to study physics but just because i think math is too blank, its just numbers on paper and nothing you can really feel in the real world.) nontheless its gorgeous

pulsar aurora
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Except not all math incorporates numbers.

wooden sparrow
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@tawdry flicker nothing you can really feel?

tawdry flicker
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Except not all math incorporates numbers.
@pulsar aurora or equations, doesnt matter lmao

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i cant walk in street and be like "ooooooh this is a visual representation of this theorem in that branch of mathematics" but i can do so in physics

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again, nothing against math

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i love math

wooden sparrow
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Ohh okayh

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Okay*

tight crag
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Lol

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@tawdry flicker have you ever tried to comb a hairy ball?

tawdry flicker
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@tawdry flicker have you ever tried to comb a hairy ball?
@tight crag yes i totally have a hairy ball laying around in my house let me get it real quick <3

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okok ngl math can also be aaa

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seen irl but

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alot of it cant, really

faint parrot
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@gray gazelle What? Physics is fake ?

limpid gazelle
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I'm sorry but physics is fake

sage python
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Have you ever seen physics before?

valid moth
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have you ever seen a six-toed sloth before

gray gazelle
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No but I’ve seen a 7 toed cat

valid moth
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believe it or not but i have seen a ten toed human before

broken meadow
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i haven't

sage python
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I've seen a 9 toed human

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Where n toed means possessing 9 toes, not that |{toes}| = 9

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In fact I've seen an n toed human for all n\le 10

valid moth
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I think you mean <

edgy loom
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Curious as to know what they teach in the US at Pre calc level, so looking for book recommendations for that

deft ingot
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i think the aops book is pretty solid for that

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a little above avg us pre-calc maybe

pulsar aurora
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I'm sure any pre-calc textbook be it college or HS would work.

edgy loom
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Yeah but idk any

pulsar aurora
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Anything McGraw-Hill would work.

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At least, I remember alot of those being the math texts we used in High School before the common core stuff

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I will say these may not be good, but they were used in high school 😛

safe relic
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Hi guys, does anybody know where I could find basic mathematics serge lang's answers? I am aware the book has answers at the end, but it doesn't have all answers.

faint parrot
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@limpid gazelle How?

white wraith
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sounds good

foggy fiber
safe relic
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@foggy fiber Thanks! I will check it out.

safe relic
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@sacred wagon I did, unfortunately, I couldn't find the answer there. Thank you anyways!

inner sentinel
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Anyone know where I can find Bilodeau’s intro to analysis in a PDF form (isbn 978-0763774929)? It’s not on libgen and I can’t seem to find it anywhere.

hearty steppe
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never heard of that one

inner sentinel
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Yeah it’s weirdly obscure

compact snow
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I'm going to write a book soon. Is this a good place to be? jk.

edgy loom
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Yooooo, its JK Rowling, whats up where you been @compact snow ?

faint charm
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any good books on multivariable calc?

quartz pawn
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Try Susan Colley vector calculus. Pretty good and has a solutions manual floating around the internet. Another good one is multivariable calculus and analysis it’s a springer book.

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But no solutions

faint charm
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thank you!!

fluid hamlet
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Hi guys, any good books on inferential statistics with problems and solutions ?

hearty steppe
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I use Walpole

fluid hamlet
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Thanks

hearty steppe
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yea I mean there are so many books

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focus on learning probability theory I feel like thats the trickiest stuff but if it sticks with you, you'll get as far as you want in stats

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unfortunately a lot of it is just plug and chug

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but the probability theory stuff is fun

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and carries to other topics in math like combinatorics

fluid hamlet
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That's the kind of advice I'm looking for
Thanks for helping

fluid hamlet
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and how you personnaly deal with the fact that there are so many books
I mean, personnaly I can't focus on one book and always looking if there is a better alternative
So I rarely finish a book which is I think a very bad habit

gray gazelle
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You're very right about that

pulsar aurora
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I treat reading a math book like a course in class. So I spend three to four months on a single book. Then I ask if I should find another book, continue, or move on to another subject

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Unless I really struggle then I drop out and find something easier

fluid hamlet
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Thanks 🙂

warped wave
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@fluid hamlet That's the kind of habit I want to get rid of too smh

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Mine's more on chem/physics book but still applies

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One day I'm reading Zumdahl then when I'm 1/2 done I go to Atkins then abandon Zumdahl. Same thing with other books 😦

smoky surge
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I don’t think you have to finish entire books in most classes you generally don’t go over entire books

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I feel like that might be an unreasonable expectation

quartz pawn
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@pulsar aurora I pretty much do the same thing.

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I basically do all of the problems in there and it takes me a while to get through them.

cobalt musk
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ok does anyone have some spare time and want to help me out. It may be interesting for someone. I need some help in google data studio doing an analysis of gambling data. I have a lot and its some crazy high numbers

quartz pawn
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I'm going back and understanding all the material now and to really comprehend the knowledge in a book and thoroughly understand it it takes a while.

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This method has been pretty time-consuming but I find that my knowledge is becoming much more thorough

cobalt musk
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if im right i think the data will prove some of that providers are not actually random at all

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sorry wrong room

smoky surge
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@quartz pawn do you read books soup to nuts

quartz pawn
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?

smoky surge
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Every chapter

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Sorry Hahahah it’s an expression I know you are doing a lot of self studying too

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I was curious

quartz pawn
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Yea

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This may stop at some point if there is particular information that I am not interested in or time constraints

smoky surge
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Yea I’m reading AI by Patrick Winston and going through the class associates with it but he only gives like half the book but maybe that’s different cause it doesn’t build off each other

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Tho for LADR I’m thinking about skipping the polynomial chapter Axler says it’s ok and just move to eigenvectors cause I’m super interested in them and maybe go back

quartz pawn
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As of lately I've been reading every chapter but they may stop as I move to other books

sage pier
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hi

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is Introduction to probability and statistics for engineers and scientists a good book? I graduated with a BSc in biomedical science

sage python
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Axler's polynomials chapter I hear isn't great anyway lol

valid moth
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i mean it's not terrible?

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but it's unnecessary

smoky surge
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That’s what I’ve heard

valid moth
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axler prealgebra book when

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lol

smoky surge
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Lmao

valid moth
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i assume he would put off multiplication to the last chapter

smoky surge
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Is that a criticism of him staving off determinates? Is that an unpopular opinion

sage python
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It's a bad choice

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Like I get what he doesn't like about the standard treatment

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Namely what happens sometimes is that a book writes down this

smoky surge
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What do you mean by a book writes down this

sage python
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$\det(A) = \sum_{\sigma\in S_n} \text{sign}(\sigma)\prod_{i=1}^n a_{i,\sigma(i)}$

hasty eagleBOT
sage python
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If you read this you think

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Okay this doesn't feel too conceptual you know?

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It's like okay I just take an array and spit out a number by an algorithm

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Sure

smoky surge
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That’s exactly what it looks like

sage python
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So books do that or something similar (e.g. defining it inductively using minors or something), and then they go and prove that linear maps C^n -> C^n have eigenvalues

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Conceptually that's the most unsatisfying thing in the world

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Like okay hold on linear maps having eigenvalues is a geometric notion, it means they fix a line

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And I prove that by........ bashing out numbers?!?!?!?!??!!

smoky surge
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Yea it doesn’t help with understanding it just makes it feel like a formula

sage python
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This is a very valid criticism of the standard treatment, that it kinda obscures what's going on

smoky surge
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I get that

sage python
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Now it turns out that determinants actually have a pretty good conceptual interpretation in terms of multilinear algebra

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And if you specialize to the real case it's even a geometric notion

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Axler's solution is to completely sidestep determinants

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But uh

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This isn't good for certain topics, like characteristic polynomials

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My theory here is that he's so dogmatic about this because his own research is kinda functional analytic

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In functional analysis determinants are less prominent compared to finite dimensional linear algebra

valid moth
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it's actually a master strategy

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if he doesn't teach you determinants, how are you supposed to determine you shouldn't read LADR?

flint forge
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i think thats the opposite of a good approach

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i think its much better to think about inf dimensional stuff

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as being its own beast

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like i think its reasonable to even rename the intro linalg classes

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"Finite Dimensional Linear Algebra"

sage python
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Well, I don't think he's making a pedagogical choice to do things as if in infinite dimensions

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It's more like

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He doesn't think they're important in general aside from the change of variables formula

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Because they don't come up in his work

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I think the correct answer is to just teach students multilinear algebra

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This obv assumes we're in a class of math majors, if not... tbh I'm not sure exactly how much conceptual content is important in a class tailored for users of math. Not necessarily proofs but like, is there a situation where thinking about determinant as just input output machine satisfying blah blah is a disservice compared to at least having a geometric picture? Idk

flint forge
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what about like

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SU

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and SL

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Lots of theorems only hold in finite dimensions

sage python
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Axler doesn't not treat determinants lol

flint forge
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and a lot of intuition

sage python
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But he holds off to the end and just says

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Determinant is product of eigenvalues

flint forge
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idk even the intuition in R^n

sage python
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Which is like

flint forge
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is nice

sage python
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Fam really?

flint forge
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thats woke af

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Yes

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in fact many texts and papers intentionally start by saying all rings are commutative

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so like

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yes

sage python
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It's not just that oh a number of theorems die, it's like the subject just changes

dapper root
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Hot take: non-commutative rings sucks.

Giga brain take: non-commutative rings are scary and I’ve lost track of what holds for them so I pretend they suck so I don’t have to come to grips with this fact

sage python
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Actually Lie theory is starting to become relevant to me soon

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More generally my stuff is getting into rep theory stuff

dapper root
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I don’t know what was built up from Nakayama anymore

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Lmao

sage python
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So yeah noncommutative world here I come

dapper root
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Also on this topic

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Fuck me if I ever deal with non-unital rings

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I have never ever ever thought about them so like

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I mean Spec A wouldn’t even be quasi compact so

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Or at least the proof I know doesn’t work

sage python
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I think that'll be relevant pretty soon, right now in a couple sections it's the lie algebra gl(2,C)

dapper root
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Is that non-unital?

sage python
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But next chapter is where it'll get pretty serious

dapper root
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Oh

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In response to Ultraproduct’s comment

sage python
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Yeah

dapper root
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Is ultraproduct an actual math thing?

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I’ve heard the term ultra filter

flint forge
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if people keep saying ultraproduct

dapper root
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I think

flint forge
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we will summon jan

dapper root
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Lol

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It’s a logic thing?

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What’s a product in this sense?

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Like a categorical product

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I see

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Cursed

sage python
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Actually the next like, 5 chapters of this book are rep theory lmao

dapper root
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Uh

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Like model theory or whatever

sage python
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All sets are compact

dapper root
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Like if it holds for all finite stuff

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There’s a model for it

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Or something idk

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I know you can do some weird cool stuff

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Like umm

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Nilradical = intersection of all primes

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Can be done using something equivalent to it

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And it’s weaker than Zorn’s I guess

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I’ll be honest I don’t know Jack shit about Logic or any of this sort of stuff. So sentence I think is a FOL statement

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But theory is like all the stuff you can prove?

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Okay

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So for the subsets

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A model is like

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A theory in which all the stuff is true I guess like uh

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Idk how it works I think you can like add axioms?

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Something something

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Forcing

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Can be used to make models

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Like

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What does that mean in this case

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Like ZFC

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Is a model?

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Is a model just a set then

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Where all those statements are true

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I see

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So... what’s the universe we normally work in?

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I took a set theory course but this bit was sort of

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Not touched upon

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So I thought all our sets were built up from like the various axioms of ZFC

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But then like V = L and stuff

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Yeah I don’t know any of this stuff

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Oh wait

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V and L are both models right

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Oof okay I guess I can sorta see it then

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So both are models do ZFC?

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If we say they are models

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Okay but

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In each one still we can find differences

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Like something might be true in one but not the other

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I see okay

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So if ZFC is a theory

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And a theory is like all the sentences that are true?

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That was correct right?

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Oh okay

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So ZFC is the set of sentences you can make via the axioms of ZFC?

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Ohhhh

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Okay

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Gotcha

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So like barring the axiom schema or whatever which is like

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A lot of sentences I think?

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I didn’t really get that bit lol

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A subset of this theory in the sense you said might be like

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Okay I want ZFC

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But forget the power set axiom

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And then a model of that is some universe of sets where everything in ZFC is true except I just don’t need the power set of every set to be a set within this universe

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Okay

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So I think I can finally start to understand the thing you originally tried to state, sorry for that

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Yup

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Sure thing

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That meaning a model for that subset right?

valid moth
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I think you should be a model cat_wink

dapper root
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What’s the poset relation here?

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Like, inclusion of the subsets?

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Oh okay

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This is a subset of P(I)?

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Because I’m not sure what you mean for an index to contain i

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Oh

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Yeah

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Right

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Sure okay

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Principal meaning?

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Okay

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gotcha

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So this is the compactness theorem?

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I see

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Because of Los theorem?

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Yup

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I see

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So if the sentences are like

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“There is a number > 0 and less than 1/n”

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Indexed over all N

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Then for any finite subset

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You can find the maximal n, provide a number below 1/max{n} but > 0

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So you can do that sort of thing

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Because it isn’t about a theory?

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And providing models for it?

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Ah sure

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I think for now my brain has been expanded as much as it’ll go

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I still have to finish some algebra stuff

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so I think I’ll have to call it for now, but thanks for the overview

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I don’t think I’ll ever study this stuff seriously but I had been curious over the past week or so what model theory like actually is

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I don’t really care or sweat the foundational stuff, and my set theory class bored me to death but it can be sort of interesting at times

long bear
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Any logic/proof books recommendations?

hollow current
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velleman how to prove it

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hammack book of proof

gray gazelle
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rudin pma

hot prism
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does anyone have a pdf, of just random proofs?

limpid gazelle
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"Proofs from THE BOOK" probably

hot prism
#

I don't have said book

edgy loom
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Then get it?

hollow current
#

no u

limpid gazelle
#

rip can't dm

hot prism
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I can't cause of this whole corona thing

limpid gazelle
#

@hot prism allow me to dm you it

hot prism
#

k

edgy loom
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lol

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@limpid gazelle Can i have said book

limpid gazelle
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No you may not

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jk

gray gazelle
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Whoever is really mean

hollow current
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@Publius

#

@limpid gazelle

limpid gazelle
#

no

shadow nebula
#

@​Whoever

wooden sparrow
#

"Proofs from THE BOOK" probably
@limpid gazelle you learnt proofs from this?

hearty steppe
#

I’m not sure I’d recommend that

#

Start with Velleman

long anchor
#

yea velleman if you wanna learn

white cradle
#

and if you wanna suffer pointlessly

#

well just listen to poly's recs

edgy loom
#

whats recs

white cradle
#

recommendations

gray gazelle
#

why is everyone so mean to me

maiden slate
#

whos mean to u

gray gazelle
#

it'd be easier to list who isn't mean to me

maiden slate
#

how are they mean

gray gazelle
#

mathematical logic by kleene is my favorite logic book

dusty plume
#

oh

#

yall should read anne of green gables

#

seriously give your minds a break now and then

gray gazelle
#

is that a textbook?

dawn river
#

You left college about a decade ago. You want to start a serious journey into machine learning but you want to ensure your maths is rock solid. What book(s) should you read?

#

Thanks in advance

faint parrot
#

Any Calculus textbook recommendation?

robust marlin
#

@faint parrot I'd recommend Strang's Calculus

#

You can download it free from the MIT open courseware website

#

I'd avoid stuff like spivak and anton

#

It also has a free corresponding lecture series which I would also recommend

#

Gilbert Strang is fantastic

limpid gazelle
#

@wooden sparrow he asked for a book of random proofs

mossy flume
#

@dawn river it depends where your knowledge base is at

#

if you aren't comfortable with algebra 1, 2, precalc

#

then I'd actually recommend Khan Academy

#

and then when you reach the calc sequence I'd look at books

dawn river
#

@mossy flume I am a little comfy with algebra but never touched linear algebra

#

Do you think I should revise algebra first?

mossy flume
#

yea when I mean algebra 1-2 Precalc I don't mean linear algebra

#

I mean it's up to you

#

do you know calculus?

dawn river
#

Yes, back then

mossy flume
#

Hm

#

I would maybe restudy calc 1-3 (I don't really have book recs)

#

and then learn linear algebra

dawn river
#

Mmmm. Okay

mossy flume
#

and then after that idk what math would be useful

dawn river
#

Okay

mossy flume
#

Graph Theory?

dawn river
#

My BSc was in Comp Sci so did back then.

#

But will have to revise all, I guess

#

Goal is to be rock solid in the important math topics for ML

#

So that I would have a good foundation to build on

smoky surge
#

@dawn river I was doing math review for the same reason used khan academy to briefly review some calc then did the MIT OCW calc s, did strangs linear algebra and am now going through LADR

#

MITs OCW 6.034 is good too for a high level overview on AI

hearty steppe
#

Hey Billionaire. So you want to be mathematician and not computer scientist/software engineer? Welcome to my world. We both got robbed of knowing enough math going for the CS bachelors! I started learning pure math this year myself. Got my comp sci degree a couple years ago.

smoky surge
#

i would guess the mit intro to data science would probably be beneath you tbh but might be worth looking at if you need a refresher

#

@dawn river also the AI sister discord is fantastic and has some resources for you as well

quartz pawn
#

@hearty steppe I know it's not necessary for a lot of jobs but It kind of bummed me out that we didn't make sure that people had solid foundation in the math required for CS at my school.

#

You can always learn more on your own but It would probably make everyone better programmers if they made sure people had a keen understanding of the math required i.e. discrete math, LA, graph theory, some prob and stats because that would translate over into algorithm analysis and complexity theory which can help you write better code.

robust marlin
#

^

#

As someone who teaches math to CS undergrads

#

Can confirm

#

haha

smoky surge
#

you arent meant to know the math before starting uni

#

that seems like an unrealistic expectation

robust marlin
#

Meh. It depends on the uni. The entry standards of my university rise year-on-year, but yeah, you still get many students who get disgruntled when you try to teach them something that is not directly related to what they want to do.

gray gazelle
#

@gray gazelle wtf do you mean

#

the UK at least teaches math at a high level in high schools

#

A LOT of countries

#

do not even teach calculus

smoky surge
#

you expect students to come in knowing multivariate, LA, etc..?

gray gazelle
#

except in very specialized schools

smoky surge
#

or do you mean like calc 1?

gray gazelle
#

in fact, you could name all the countries that do teach it on one hand

#

(apart from some very special schools)

smoky surge
#

honestly we are off topic here

hearty steppe
#

For someone with a CS background, I know a lot of math and I’m lucky to know as much math as I do. I was able to teach myself multivar. I’m teaching myself proofs and analysis. I learned more stats earlier this year. I will be learning abstract algebra and more linear algebra starting in August on top of proofs and analysis

#

Yea they don’t really teach you math in CS for undergrad. They barely scratch stuff that can give you enough surface knowledge to get into data science “eventually”... keyword “eventually”.

People been saying graduate level CS is basically math if you go the PhD route.

#

Honestly to be honest with you, data science doesn’t seem like as much math as I’d hope it to be. People seem to confuse machine learning with data science. But perhaps it is the expected learning curve for each. If you want to do theoretical stuff then sure it’s math heavy. Otherwise you probably gona set yourself up for disappointment if what your really interested in, is a career in mathematics (like myself)

faint parrot
#

Is there books on probability?

flint forge
#

probably

#

(more helpfully, yes)

hearty steppe
#

Depends on what your looking for. Ross seems popular around here?

faint parrot
#

Ah okay

hearty steppe
#

Try Goldberg

#

Or the book “A First Course in Probability”

faint parrot
#

Ah okay

hearty steppe
#

But yea A First Course in Probability is by Ross

faint parrot
#

Thanks

dawn river
#

@hearty steppe , exactly! Now I'm finally able to seat down to deep dive as much as I want. These days, I'm much more keen on the applications of maths and I found ML to be well suited.

#

I'm going to be doing this for 2 years but don't have a roadmap yet. Thats why I cam here for help.

#

@smoky surge , thanks a lot. Can you point me to where the discord for AI is. Will like to check it out.

#

@hearty steppe , I'm trying to build a roadmap for my journey back to maths & its application. I'll share here once I'm done.

#

Thanks a lot everyone. I'm happy to be here.

hearty steppe
#

Depends on what you want to end up doing.

Personally I decided to just hop on the “math as a career change” band wagon. Perhaps it is some self reinventing that I am putting myself through but I’m happy with it so far. At my age I should know the math I’m learning but life happens.

dawn river
#

I see ML as an opportunity to build something from the scratch.

pulsar dome
#

hi, would you consider calculus by tom apostol to be a calc 1 book or analysis??

hearty steppe
#

Maybe you want to be an ML engineer?

dawn river
#

Call it a career change as well

#

Yes

#

But a math heavy one.

hearty steppe
#

Oh so your a software engineer

dawn river
#

Yes

#

Folks here said I should read Bishop's Pattern Recognition but I said no.

hearty steppe
#

Ok well I personally don’t feel like learning the math required for that isn’t too bad. I think you can get away with learning enough probability and stats, calculus 1,2 and multivar, and then linear algebra

#

And some graph theory

dawn river
#

I want to lateralize my learning.

pulsar dome
hearty steppe
#

Use Paul’s online notes

pulsar dome
#

I want to lateralize my learning.
@dawn river what do u mean by that???

dawn river
#

I mean, my plan is to overlap/translate various topics (theories) of maths into real applications

hearty steppe
#

Sounds like you want to be a computational mathematician then

dawn river
#

Yes yes yes.

#

But ML seems to be a solid avenue I have seen now

#

So far*

hearty steppe
#

So that’s quite a bit of a learning curve but I don’t want to discourage anyone. If you enjoy math, the best place to start I think is with proofs and then jump right into mathematical analysis after you done a bit of calculus.

dawn river
#

Mmm. Okay.

#

Is 2years too short?

hearty steppe
#

I mean personally I haven’t regretted it. I spent the last few months learning proofs and analysis so far

dawn river
#

Great.

#

The joy of mathematics!

hearty steppe
#

I mean if you want to be a mathematician, why would you plan on learning math for 2 years lol.

pulsar dome
#

use MIT's open courseware, they've got full video lectures and notes on most of those topics

hearty steppe
#

Again depends on what you want to learn

#

It could take you that long to learn enough

smoky surge
dawn river
#

Self-study for 2 years to find my ffet.

hearty steppe
#

If you want to do more, learn more haha

dawn river
#

True

hearty steppe
#

Ok yea I feel you

dawn river
#

@smoky surge thank you!

hearty steppe
#

I like to do these self assessment periods

#

Every so often

smoky surge
#

yep

hearty steppe
#

Like, basically if you have a goal of what you plan on learning, you basically take note of your progression. Then you come to a point to reassess that

dawn river
#

Mmmm

#

I agree

smoky surge
#

Ive been doing the same thing

#

honestly a good way to

hearty steppe
#

But like if anyone wants to deep dive into math, implying they’re going further than multi variable calculus and a semester of linear algebra, I think it is relevant to pick up a proofs book and go thru that. Analysis is very useful for theoretical computer science even

smoky surge
#

is to hang out in the topical questions and try to answer some of the questions ther

dawn river
#

Correct!

#

Someone I really admire is Stephen Wolfram.

#

Not only for his popular WolframAlpha but for Wolfram Mathematica

#

Maths heavy, applications heavy.

hearty steppe
#

I plan on reading A New Kind of Science soon

#

He wrote that book

dawn river
#

Yes. Not read it yet.

#

I'll start with proofs, see if I'm not too stale.

pulsar dome
#

I used that book first

dawn river
#

Why are you so supportive here?

#

Thanks @pulsar dome

pulsar dome
#

what???

dawn river
#

Being sarcastic!

#

I was saying thanks for the book.

hearty steppe
#

However I’m building My way to that book. Gona start with some of the shorter Rudy Rucker books and see what he’s about. Quite a few people seem to admire Rudy Rucker. I’ll admit I am a Douglas Hofstadter fanboy and I’ll indeed read the rest of his books I want to read but I love Godel Escher Bach.

I thought James Gleick would be interesting but he’s just pop science history.

dawn river
#

I have never heard of Rudy Recker

hearty steppe
#

So save yourself the time from reading his book “Chaos”

dawn river
#

Godel is my fave.

hearty steppe
#

Troll

flint forge
#

thats not really a controversial opinion

#

lots of mathematicians dislike it

hearty steppe
#

They probably dislike his ongoing tangent of formal systems using his MIU system for the first two chapters. Honestly that part wasn’t so bad.

#

But if you get past that, you get to see why people praise the book

flint forge
#

I think its neat

#

I think people have an issue w the general readership

hearty steppe
#

But the reason he spends so much time talking About his MIU system is because it comes full circle rather nicely

flint forge
#

a lot of people take GEB and pretend they actually like

#

understand godel's proofs

#

which is false

hearty steppe
#

It’s a shame people can’t get past that part of the book and then say “this sucks”

flint forge
#

yeah i think w the correct context

#

its an interesting read at least

dawn river
#

Yes it is very interesting.

flint forge
#

im of the opinion that all good formal ideas start as false and informal ideas

#

so i dont take issue w it

hearty steppe
#

I mean I think a good trick to get to the good part of GEB faster is probably read the first couple paragraphs of the first chapter then hit chapter 3

dapper root
#

What’s GEB?

hearty steppe
#

But then you skip a lot of nuance with his MIU system which I found interesting. Maybe it’s because I enjoy math and learning about logic and stuff like that.

#

I will say however

north spire
#

What’s GEB?
Godel, Escher and Bach

hearty steppe
#

My one nitpick is he spends a lot of time with the Lewis Carroll renditions

flint forge
#

idk if its fair to call it pseudointellectual as a book

dawn river
#

What’s GEB?
@dapper root

Godel Escher Bach.

hearty steppe
#

I just skim through those parts

flint forge
#

i agree most readers end up being pseudointellectual morons

#

but thats not the books fault really

hearty steppe
#

Yea the book definitely is not pseudointellectual

#

Like to be frank, he is much more insightful than Ray Kurzweil is imo

#

And that’s saying something cause I like Ray Kurzweil’s books

#

No he’s not

#

His predictions are definitely off

#

But he’s on the money

#

How so

#

How is he a paranoid freak

#

When he is absolutely right about what’s going on right now

#

Like he has made some pretty interesting speculations about the future which we can’t tell yet but a lot of the stuff he said about the singularity is on point

dawn river
#

I like Kurzweil. Truth is, predictions are very hard to make.

flint forge
#

who tf is ray kurzweil

dawn river
#

Singularity

hearty steppe
#

My only nitpick is his predictions are too soon. Like he makes predictions that are at best 15-20 years away realistically

flint forge
#

oh

hearty steppe
#

From now that is

flint forge
#

i mean are you saying the concept of a singularity in which generalized intelligence is created is false or?

dawn river
#

Yup

hearty steppe
#

But some predictions seem more realistic a century or two from now

flint forge
#

like i believe its possible to make human-equivalent AI

hearty steppe
#

Kurzweil is very spot on too about engineers being in trouble soon too

dawn river
#

Hahaha. Yes

hearty steppe
#

Like software engineering isn’t worth it if you don’t want to make your life software

#

There’s way too many people right now competing for jobs and it’s only going to get worse

dawn river
#

Yes but I find that a bit extreme, thats why they call him a freak.

hearty steppe
#

Well depends on the extremity we talk about here

#

I think ML engineers and data scientists will be ok

dawn river
#

Because of what he's doing to himself

#

Hahahahaha

#

What he does to himself for longevity seems a bit extreme to me.

hearty steppe
#

But I think ML engineers and data scientists are basically corporate mathematicians

flint forge
#

i dont

#

they dont like do any math

#

in the professional sense

hearty steppe
#

That’s the point

#

Lmao

flint forge
#

oh i guess

hearty steppe
#

Corporate doesn’t do math

#

They just want to do other shit

dawn river
#

Hahaha. Yes. Corporate do money.

hearty steppe
#

Make profits

#

Screw taking our time publishing papers

#

Anyway

#

A great book for those who are interested in math I recommend this. It’s a short read and it’s fairly inexpensive

dawn river
#

I have this habit of checking books on goodreads before I buy.

#

But not for math books.

#

So I'll buy this.

#

Seems to cover the philosophy of maths, no?

#

Okay. Thanks

#

This is Vol 1, right?

A great book for those who are interested in math I recommend this. It’s a short read and it’s fairly inexpensive
@hearty steppe

limpid gazelle
#

Mathematicians are people? I can’t believe it

fleet tide
#

they're mobile husks of people

gray gazelle
#

Anyone here read digital control of dynamic systems by Franklin?

#

It came highly recommend by my linear algebra prof since one of my favorite parts of the course was signal processing and discrete dynamics. I'm trying to decide if it's worth it to get the first edition and read the new chapters from a PDF. Since there's like a 60 dollar difference between the 1st and 3rd edition.

gray gazelle
#

there is a pdf of the third edition on libgen

#

@gray gazelle

#

Yup, I have that. I was wondering what other people thought about the content though.

#

Also, the libgen copy is booty, and it seems comprehensive enough that having the actual book would be helpful.

dusty plume
#

i'd like to recommend the iliad by homer if you haven't read it yet.

#

it's very good HAHAHHAH

quick hornet
#

...

valid moth
broken meadow
#

i dont get it

#

it's a good book

valid moth
dusty plume
#

why the iliad hate train 😔

#

let me have my childhood 😔

flint forge
#

?

valid moth
#

maybe they are 3000 years old max

#

leave them alone

tight crag
#

@echo kiln your answer was incorrect

#

The other possibility was that you have 3 real roots, which you do

#

This does not belong in this channel though

echo kiln
#

@tight crag lol I am sorry

#

I realized it was wrong

#

thanks to DM

frosty kettle
#

If you would like to learn the philosophy of math, read a philosopher of math. Imre Lakatos, Penelope Maddy, and James Brown are among my favourites. Max Tegmark is good for a fringe view.
@sweet lotus which book of Tegmark's would you recommend? "Our Mathematical Universe"?

turbid sorrel
#

Quick question

#

Is there a reading club or sth that works through books in this server?

edgy loom
#

Not this server

#

but there are reading groups

molten wave
#

they all die undergo exponential decay

hearty steppe
#

I will be checking out Imre Lakatos soon.

wooden sparrow
#

they all die undergo exponential decay
@molten wave why though?

molten wave
#

that's how people be

wooden sparrow
gray gazelle
edgy loom
#

mniip is foreshadowing something

hearty steppe
#

mniip is always foreshadowing

#

It’s in his nature

north gulch
#

Yo @edgy loom

#

What’s up

lilac terrace
#

What would be a good book

#

For complex analysis

#

that university also follows

night knot
#

at what level? Undergrad?

valid moth
#

the most frequently recommended texts seem to be ahlfors, stein shakarchi, narasimhan

marble solar
#

Stein and Shakarchi is good for exercises

#

The reading is bad

#

Ahlfors is great for reading but the exercises are lacking

#

Marshall's complex analysis looks good on both fronts

dapper root
#

I used Gamelin

marble solar
#

Ask UW nerds for more

dapper root
#

Marshall's was eh for me, but

#

idk

lilac terrace
#

@night knot nope grad

dapper root
#

It builds it up interestingly

#

no matter what

#

just don't use "A concise course in"

#

the one from the UChicago lectures

valid moth
#

yep

#

use more concise

dapper root
#

Stay away from anything that says "A concise course in" that was adapted from UChicago lectures

#

unless it's like your second pass

#

unbelievably difficult stuff

lilac terrace
#

Haha okay thanks

marble solar
#

Terry Tao has public lecture notes on complex

#

Ucla 246A,C

#

In fact he's teaching it in the fall and I'm pretty sure he lets anyone attend

#

Via zoom

lilac terrace
#

I'm studying at a indian university though

#

Ohh zoom i

marble solar
#

Yeah, the hours might be wonky

lilac terrace
#

Is anyone allowed to attend

marble solar
#

It was for the spring quarter

#

When he taught 247B

lilac terrace
#

Okie

#

Also what's the prerequisite to study string theory

#

The mathematical background

#

I kind of got interested in it

#

And the physics one

#

really?

#

Won't we need quantum

sage python
#

@dapper root HAHAHAHAHA

#

Yeah Concise Course in Algebraic Topology and Complex Analysis are both tough

#

That's how grad classes in Chicago run

hearty steppe
#

I mean its higher level math, what were you expecting? lol

#

I like Dami's intuition... Just stare at the theorems and bang your head against them until they make sense KEK

#

Analysis is awesome though. Kicking my ass but its awesome. Love it

gray gazelle
#

Now that everything is online I've had more time to learn on my own from the books that I actually like, but I do miss learning with other people. So I was wondering if any of y'all would be interested in doing like a book club(or any learning method) it doesn't have to be the same book, we'd just talk about what we've been learning from our respective sources. For me the fun part of math has always been getting to talk about it with my classmates. If something like that already exists I'd love to know about it.

solemn mantle
#

Anyone familiar with “a concrete approach to abstract algebra”

wooden sparrow
#

@gray gazelle sounds good tinktonk

gray gazelle
#

I haven't read that particular one, but it seems to be written to be very accessible and self contained. I can say that I thought the book I used "A first course in abstract algebra" by Fraleigh(2e) was really good at keeping everything simple and informal, so if that's what you're looking for maybe check that out. @solemn mantle

solemn mantle
#

Yeah definitely, thanks

#

I’m looking for something a little informal and self-contained, as in I don’t need to use it alongside lectures

gray gazelle
#

Then definitely check out Farliegh, his writing is Griffiths-esque.

solemn mantle
#

Alright, thanks so much

dapper root
#

I mean its higher level math, what were you expecting? lol
@hearty steppe these are different. Not comparable

hearty steppe
#

wdym

dapper root
#

Like

#

Sure, higher level math expect things to be hard

#

The level in those books are ludicrous

gray gazelle
#

Why does no one recommend the Princeton Lectures for analysis anymore? I haven’t read them but outside of this discord I hear great things about them

marble solar
#

They're fantastic

#

Volume 2 is by far the worst, and it's still pretty good

#

I think Volume 3 is the best, I haven't read all of volume 4

#

I tried to get into hardy spaces and all that jazz but my research advisor at the time was like nahhh

#

But stein and shakarchi is the way an analyst should learn analysis

gray gazelle
#

just downloaded all of them and they seem cool. weirdly enough, I’ve taken real/complex analysis and there’s only about a 1/2 overlap between the TOC and my actual class. so I’ll probably test them out in the coming days

#

Is it normal for a functional analysis textbook to cover brownian motion?

gray gazelle
#

I checked ye'old Libgen to no avail. Anyone got a PDF, it's referenced in by Dynamical Systems book and it seems interesting.

#

Arms and Insecurity: a mathematical study on the causes and origins of war

marble solar
#

That's what's great about Stein and Shakarchi, it has a wide breadth of material

#

That you can keep coming back to

#

With challenging exercises/problems that help you learn the material and help you prepare for qualifying exams

hearty steppe
#

I don’t understand your point Mathemagician.

From my point of view, Math is going to require actually doing more than watching YouTube series and just punching in formulas to deal with problem sets. That was a definite realization I’ve had a little earlier this year. The point of transition into higher mathematics involves a lot of personal commitment so yea it’s going to be hard and it’s going to kick your ass. Some people don’t like their world rocked when they learn and that’s on them.

sage python
#

He's saying that it's not just, oh algebraic topology and complex analysis are harder subjects than calculus was

#

"A Concise Course in Algebraic Topology" is harder than most algebraic topology books

dapper root
#

It's dummy stupid hard

#

it's ludicrous

granite sluice
#

yeah that book is too hard

#

its so terse

sage python
#

"A Course in Complex Analysis and Riemann Surfaces", previously named "A Concise Course in Complex Analysis and Riemann Surfaces" is way harder than most complex analysis books

hearty steppe
#

I mean like if a book is too hard then find a book that’s easier to leverage?

sage python
#

Yes

#

That's his point

hearty steppe
#

For me, Rudin on its own to learn analysis is too hard

sage python
#

That he doesn't think those two books are good intros to the subject

#

Because they're too hard

granite sluice
#

and harder doesn't mean like, ooh if you read it u r smarter. it means its an ineffective pedagogical tool.

dapper root
#

honestly even on second pass

#

they're still hard as shit

sage python
#

That was the point he was making earlier, and when you commented "I mean it's higher level math"

hearty steppe
#

Yea lol

granite sluice
#

i feel like math is the only topic where people fetishize having shitty learning material

sage python
#

He was saying no this isn't just higher level math, those books are specifically deadly

granite sluice
#

or shitty technology

#

like, imagine there was a car. and the car constantly backfired, the wheel was unresponsive, the horn only worked sometimes...

hearty steppe
#

Well reading a math book is not like reading a liberal arts book or a biology book, or maybe even a physics book

granite sluice
#

a mathematician would be like

sage python
#

lorenzo really? I would a priori expect in most areas there's some variant of the attitude that like

granite sluice
#

wow this car is so great -- I mean, don't get me wrong, its dangerous and difficult to use. but if you can drive this car you can drive ANY car.

sage python
#

Yeah I read something that's super difficult to learn from and pulled it off because my dick is just that big

granite sluice
#

@sage python yeah you're probably right

hearty steppe
#

Like the closest thing I can compare to reading a math book, is reading a metaphysical ontology based philosophy book which does a lot of hedging to prove its points.

sage python
#

Like that's sorta where this sentiment comes from, that if you have something hard to learn from and you succeed it's a show of strength

gray gazelle
#

Tao’s > Rudin

hearty steppe
#

Like for instance, Reasons and Persons by Derek Parfit

#

It’s not necessarily a bad book but god fucking damn

hearty steppe
#

So much metaphysical conjecture to basically argue points about morality

granite sluice
#

proof by vagueness

hearty steppe
#

But yea exactly Dami

sage python
#

Proof by obviousness was something I attempted to employ a lot in undergrad

gray gazelle
#

proof by trivialness

sage python
#

I remember seeing some people say that you shouldn't say "trivial" because it's sorta condescending, if it's that obvious just say it without comment

#

And I'd just be like'

hearty steppe
#

Philosophers are almost mathematicians but not quite. They know how to make logical arguments and construct crazy metaphysical abstractions

sage python
#

You do realize that I say trivial specifically because I want my TAs to feel like idiots if they take off points

dapper root
#

I do that

#

trivial means

#

or "one can see easily is"

sage python
#

Like are you really going to attempt to say this isn't obvious? Are you that smooth brained that this isn't immediate for you?

dapper root
#

I thougth about it or jotted it down on paper

#

and don't want to tex it

sage python
#

Eventually I realized that people who grade pedantically are not deterred by the possibility of being judged by an undergrad

#

But the habit stuck

granite sluice
#

lol

sage python
#

But as a result I do think that this grievance against the word trivial isn't effective because people who use it know what they're doing, it's very deliberate psychological warfare

granite sluice
#

one just has to develop a counter arsenal of being ok being perceived as an idiot

sage python
#

The funny thing for me is that, I tend to not want to grade pedantically

#

And also this kind of thing would actually work so well on me

#

Since the idea of being thought of as stupid just terrifies me to no end

granite sluice
#

i comfort myself by knowing that if someone perceives me as stupid, that person understands reality slightly better for it

#

and thats a net plus overall

#

from my point of view as an .... uh... epistemological utilitarian

#

a made up viewpoint wherein i want to maximize the total number of truthful propositions believed by humans

gray gazelle
#

wow that’s deep

wooden sparrow
#

a made up viewpoint wherein i want to maximize the total number of truthful propositions believed by humans
@granite sluice fucking have my love and support already!!

broken meadow
#

and im 14

valid moth
#

no

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you're patrick

broken meadow
#

huh

gray gazelle
#

bruh you've posted this in three channels

#

no, four

#

5...

#

<@&268886789983436800> this guy's pulling some shit

sage python
#

Gone

dapper root
#

What was it lol

gray gazelle
#

please watch my cute doggy

#

no

limpid gazelle
#

Not here please

sage python
#

Stop spam

gray gazelle
#

ok

#

sorry

limpid gazelle
gray gazelle
#

ok

dapper root
#

Don’t say that

sage python
#

This is your official warning

dapper root
#

Dami btw Woog already said I can’t get @everyone perms

#

Apparently it’s not for people born in August or November so

#

I can’t let everyone know about my birthday

#

Just in case you saw the ping earlier

#

And were still considering it

#

;)

sage python
#

I'll keep it in mind

sudden quail
#

I have too many books..

gray gazelle
#

Sell the ones you don't need

fast turtle
#

What are your thoughts on Robert Ash's "Abstract Algebra: The Basic Graduate Year"?

#

for self-study

marble rock
#

p good

#

gets into ANT and AG and it's cool imo

#

an easy pass to category stuff and homological algebra

#

which sounds cool

fast turtle
#

I've heard some critizism of it not being formal enough, is that a problem?

marble rock
#

idk i dont think so

fast turtle
#

Okay then, thanks! ^^

marble rock
#

if you want a grad algebra and your not sure

#

just pick up lang or hungerfordf

fast turtle
#

are they easy to follow? i have trouble with algebra in general, I kinda find it hard to follow thru

marble rock
#

umm

#

if you want an easay to follow not-so-grad-but-adv-ug try dummit and fote

#

but warning : it's dry and boring

#

i never read lang or hungerford

#

but ig just try them out

#

check pinned

flint forge
#

If you want really easy to read

#

You can try Pinters book

#

Which is slow

#

But very readable

#

It was my first exposure to algebra

fast turtle
#

I see, I will check them out, thank you

quartz pawn
#

Hi friends. Anyone logicians here who can recommend some good books for learning math and formal logic?

gray gazelle
#

Ebbinghaus

#

Alternatively enderton

granite sluice
dapper root
#

are they easy to follow? i have trouble with algebra in general, I kinda find it hard to follow thru
@fast turtle if you have trouble with algebra don’t use Lang. It’s better as a reference or like second pas textbook. First textbook only if you’re a maverick

gray gazelle
#

Ik I'm late to this, but on the topic of easy textbooks and complex analysis Needham is the one true source.

gray gazelle
#

@limpid gazelle does proofs from the book teach you anything lol

limpid gazelle
#

Maybe you should read the question

#

@gray gazelle

sudden kindle
#

@limpid gazelle nice pfp

limpid gazelle
#

Thanks

brittle latch
#

has anyone here read "how to not be wrong"

#

by jordan ellenberg

#

i might get it but idk

#

interesting, i have some cash to spare so i'll check it out

#

is there anywhere here where i can find like a general list of recommendations tho? ive been reading a bunch of programming books but im a math and computer science double major so id be remiss if i didnt seek out math books too

#

yeah i have a friend who calls them somewhat crudely math porn lol, but i find it pretty accurate

#

awesome thank you, i'll be sure to comb through it

#

do you know of any more approachable yet "advanced" books tho? i know a lot of books in this field tend to be hyperfocused on a single subject so it's a bit of a vague question but im open to any suggestions tbh i just wanna build up a sort of backlog of books to read if that makes sense

quick hornet
#

if you want something "between" this sort of "math porn" and actual mathematics

#

i'd say Counterexamples in Topology

valid moth
#

try spivak maybe?

quick hornet
#

although only if you have point-set background [and didn't hate the contrived spaces people came up with]

valid moth
#

(spivak's calculus)

quick hornet
#

nah spivak is straight up a textbook

valid moth
#

well yeah but i guess it's sort of

#

a common bridge

#

to higher math type books

brittle latch
#

yeah thats another thing if i read a textbook i default to taking notes my brain wont let me just absorb cuz i know it wont retain, that's why "math porn" has felt like a good start

#

or have you guys just straight up read textbooks cover to cover

valid moth
#

you don't read textbooks like a novel

#

you put concepts into short term working memory

#

and then do problems to cement it

#

but yes you have to prioritize understanding not memorization if that's what you're getting at

#

actually something you might find suitable is

#

evan chen's Napkin

#

unfinished as of now

brittle latch
#

👀

quick hornet
#

napkin will never be finished

valid moth
quick hornet
#

infinitely large napkin isnt exactly infinitely large but

#

i think it has like 1000 pages or something

valid moth
#

i mean

#

the final draft can be infinitely large as long as chen plans on never publishing it and always adding new pages

quick hornet
#

well, supposedly the name comes from

valid moth
#

this would require chen to be immortal

quick hornet
#

he's a competition math coach or something and was explaining his research to a student at lunch

valid moth
#

maybe he can pass it on to his heirs and then they can eventually become immortal

quick hornet
#

but then he realized that to define what he was talking about, he needed to define some concept

valid moth
#

no no, not a coach

quick hornet
#

and then he needed to define groups and axioms and etcetc

valid moth
#

although he does coach

#

it was just friends

#

hs friends

quick hornet
#

which obviously wouldnt fit on a back-of-the-napkin sketch

#

so the textbook is his realization of his "napkin explanations of higher math" if these explanations could have arbitrary (reasonable) length

#

i havent actually read it but i've heard it recommended a lot, and on a skim it seemed solid

valid moth
#

the chapters are pretty well sized

#

enough detail

#

but also brief enough

#

for the purposes

brittle latch
#

napkin looks awesome i'll def read more into it

valid moth
#

don't read more into it

#

just read it

brittle latch
#

you know what i meant lol

#

thank you for recommendations tho!

#

also im new here, can anyone explain the pinned message pls?

quick hornet
#

the zetamath one is a shitpost

valid moth
#

no i mean i took it as you saying you would read more about Napkin to decide whether you would read it or not

brittle latch
#

that much i gathered lol

quick hornet
#

basically uh

valid moth
#

whereupon i recommended you just read it

quick hornet
#

a holomorphic function is a certain type of complex function

valid moth
#

(namely because you can get it online so there's no cost)

quick hornet
#

i.e. a function from C to C

brittle latch
#

(i meant the latter @valid moth lol)

valid moth
#

okay

#

then yeah

quick hornet
#

it turns out that holomorphic functions are REALLY nice

broken meadow
#

lol holomorphic functions are constant

quick hornet
#

by "nice" here i mean

#

they come with a lot of "structure"

#

that makes them very "intuitive" and "easy" to work with

#

(at least relative to real functiions)

#

for example, holomorphic functions are automatically complex analytic

broken meadow