#linear-algebra
2 messages · Page 114 of 1
@barren void
So this means that T is onto because the range of T is all vector sp. of 2x2?
@tribal lodge
As I understand T is not onto
x_1 = x_2
Well that doesn't tell you anything
what should I be looking at
If one row is a multiple of the other row
Or one column is the multiple of the other column
If one row is -6 and 6, that doesn't mean the two rows must be linearly dependent
You can have something like
$$\begin{bmatrix}-6&6\0&1\end{bmatrix}$$
Whoever:
and the rows are linearly independent
why is it linearly independent
thats what I don't get
-6x1 + 6x2 = 0
and x2 = 0
that's what we're looking at here right ?
If the rows of a square matrix A are linearly independent, then the only solution to AX=0 is when X=0
So when you set up the equations, you can conclude x_2=x_1=0, then the rows are linearly independent
okay I see
so in the case of the previous matrix
-6x1 + 6x2 = 0
and
5x1 - 5x2 = 0
there is no way to say x1 = 0 or x2 = 0
x1 and x2 can be 0, but they do not need to be
and therefore the rows are not linearly independent
because there is another solution, namely x1=x2=1
so yes
Now most of the time when they say obviously linearly independent/dependent, they're just replying on intuition
which hopefully you'll develop soon
hopefully yeah 😂
I need to show that if the anihilator of W is invariant with respect to the tranpose of T, that W is T-invariant.
I can prove the converse.
Here's what I have so far
Let $x \in W$ Consider $T(x)$. We know that for any $g \in W^{0}$ that $T^{t}(g) := g \circ T \in W^{0}$ So $ (g \circ T)(x) = 0 \implies g(T(x)) = 0$
JohntheDon:
<@&286206848099549185>
wouldn't this be false because if u was a zero vector, it would just be a point?
my prof says it's true, but i can't figure out why
your prof probably forgot about the case where u is 0
ah okay
The inner product should not be a function but a scalar
So $\brk{\vec{v_2},\vec{u_1}}=\int_0^4 \vec{v_2}\vec{u_1}\dd{x}=\int_0^4\sqrt{x}\dd{x}$
Whoever:
This is how you should calculate the inner product
The expression for u_1, u_2, u_3 are all correct
But you didn’t evaluate a single inner product correctly
cool
yeah thats how i interpreted it
heya
im just learning linear algebra and need a bit of help with a matrix
[2 5 | 1 0]
[4 1 | 0 1]
..A.......I
i want to use elimination to find the inverse
how do i remove 4 at A(2,1)
or is the matrix singular
A isn't singular
if you want to remove that 4, one thing you can do is add -2 times the first row to the second row
you can see that A isn't singular by either working out the computation you've started here, or by calculating it's determinant and seeing that it's nonzero
@wintry steppe thanks
I don't think I can decipher that
lol uh
i made a mistake half way through
anyhow ill rewrite that
my prof will prob say the same thing
Should be much more readable now lol
As in what does it mean by associated normal system, ik it can’t be rref because thats c4
Alright yes that is correct
The first image
But you don't need to scale them at the end
Because the question explicitly said you only need to find an orthogonal basis
Not an orthonormal basis
@brittle lark you don't need to normalize. additionally this'd lose points bc the answer mustn't have fractions
wait so
okay let me fall back to smth i left out, when he says no fractions (he said this in a lecture) he only meant in the vectors not the numbers you multiply them by
also you're saying i dont need to normalize?
so just take the fractions out of the answer
It is stated in the question
normalize v=divide by ||v||
That you can't have fractions
gotcha so i just remove the fractions from my answer and im good to go
(assuming i understood correctly)
the issue is you don't get you did extra work
yes only orthogonalize
yeah i got it now, i just misunderstood thank you lol
yeah just keep in mind the difference of orthogonal vs orthonormal bases 
did any of you catch the question i asked about c?
I have two vectors A and B that are added together to create C
is the following basis enough to uniquely identify A and B (Rotational invariance assumed)
- The opening angle of A and B
- A + B
- A^2 + B^2
The applications is I have two indistinguishable vectors going into an ML model and I would like my representation of the two vectors to not involve enforcing a lexiographic ordering for which vector is vector 1 and which is vector 2. It would preferable to describe the two vectors using only combinational qualities like those above.
opening angle?
@brittle lark the matrix in c2 represents Ax=b. its associated normal system is A^T Ax=A^T b
so i find A^T*A
& A^T b
so which value would the answer to that part be
from the equation
all i have is A
i dont have x or b
although A^T A cant be it because the rref of that gives me 0=1 so yeah...
the matrix in c2 represents Ax=b
do you know what this means
some what my professor never really explained it just kinda started saying it in his prerecorded videos
...
what kinda system are you working on?
Is it a wave equation of sorts?
to recap in a linear system Ax=b, A is a known matrix & b is a known column vector, x is an unknown column vector
the system's augmented matrix is (A|b), a matrix made by cramming A with b as the last column
okay i understand
so i have A and b
x is unknown
so when i do A^T A should I remove the b column?
right?
what's A?
how do i use the bot thing in here to send that formatted?
ok just look at the eqns in c1
yeah so it's like (-2^2, -2, 1) for the first row of A
$ \bmqty{1 & 2 \\ 3 & 4 \\ 5 & 6} $
Ann:
yes & b is a column vector containing the values on the right side of each eqn
yep
yeah i recall that, i dont think it caused any errors in my math beyond what i sent in that picture, I simplified them all. but i just added the ()
(1, -1, 1), (0, 0, 1)
ok now get the augmented matrix of
associated normal system is A^T Ax=A^T b
so my answer is [A^T A|b] or [A^T A|A^T b]
this is the part im confused at with what you gave me
in regards to the equation A^T Ax=A^T b
to recap in a linear system Ax=b, A is a known matrix & b is a known column vector, x is an unknown column vector
the system's augmented matrix is (A|b), a matrix made by cramming A with b as the last column
i'll rephrase it as the augmented matrix of (matrix)(unknown)=(column) is (matrix|column)
so it's [A^T A|A^T b]
because A^T is also on the right side of the equal sign in that equation
the whole right side is the column
@brittle lark cool 
I've learned i will never take an online class again because it's these little things that i cant raise my hand about and ask during class... thank god i found this discord
ye stop by again if you ever need
that might be right now because the next and last question on today's assignment is off the walls crazy
granted there's a lot of explanation but it has literally nothing to do with his lectures
Please tell me im not the only one that thinks my professor just put some calc concepts into this assignment because he like calculus or smth...
where are you stuck? @brittle lark
one second actually i figured out the next step i think
there's just so much information in the question which makes it hard to follow lol
so i have to find what that series converges to right? iirc the p-series test doesn't tell you what something converges to, just that it converges
its been a while since i took calc2...
once you get ||t^2||^2 it's easy algebra to get the series' value
okay so i guess im confused as to what i should be plugging into the * formula
to get the value of ||t^2||^2
do you know what ||v|| denotes?
normalizing
oh wait it'd just be t^2 for both f(x) and g(x) right
then take the square root of the result of the * equation?
not quite, idk wym in normalizing
physicists call it magnitude
definitely not what my professor called it but we are probably talking about the same thing
if you plot a vector in R^n it's what you'd call its "length"
https://i.gyazo.com/e01285ea7839c8b58ad2d495d2de67e6.png ever saw smth like this in physics?
yes
the vector's got "length", physicists call it magnitude, linalg calls it norm
ok
take a vector in R^n v=(1,2,3). how do you find ||v||?
1^2+2^2+3^2
not quite
note the steps you did. you basically did ||v||=sqrt(v dot v)
how did your class introduce inner products?

that's an inner product on a certain kind of vector space but did you cover just what it is in general?
that's meh
ok think back to the dot product on R^n. it takes 2 vectors and gives a scalar while obeying certain rules
okay
btw did you cover the defn of a vector space?
yes i am pretty sure
axioms & such?
no
i have no idea what an axiom is
i think thats in the next/last unit
its a 1 month summer class
this class is chaos
lol
https://mathworld.wolfram.com/VectorSpace.html not familiar at all?
or https://en.wikipedia.org/wiki/Vector_space#Definition just read the stuff in the chart
these are basically criteria that a set, along with given definitions of vector addition & scalar multiplication, must satisfy in order to qualify as a vector space
gotcha i read it it makes sense
it's how we generalize what a vector space is beyond what you usually think of as a box of pointy arrows
wait theres a little more to the definition section
one sec
okay so axioms are like rules
ehh you can take it that way for just this
again, the vector space axioms are criteria a set must satisfy in order to be a vector space
okay
accompanying a vector space is a so-called field of scalars, a set from which scalars are picked, and in your linalg class you'll probably only ever look at vector spaces whose accompanying field of scalars is the set of real or complex numbers
so how does this tie back to the ||t^2|| stuff? I'm following what you're saying im just not sure where you're going with it
ok think back to the dot product on R^n. it takes 2 vectors and gives a scalar while obeying certain rules
when you look at a vector space other than R^n, there are certain ways you can define taking 2 vectors and getting a scalar while obeying largely the same rules the dot product on R^n does
okay
that's what an inner product is, a function that takes in 2 vectors from whatever vector space you're working with and gives a scalar, that has certain properties like the dot product does
okay
then you can view the dot product just as the (standard) inner product on R^n. and back in R^n, you find the length/norm/magnitude of v by ||v||=sqrt(v dot v)
if you have a general vector space upon which an inner product is defined, you can then also define a norm by ||v||=sqrt(<v,v>), <v,v> being the inner product of v with itself
so i plug in t^2 for f(t) and g(t)
since in my case v=t^2
then i take the sqrt of that
if you rearrange, ||v||^2=<v,v>
yeah. also if this seems long winded, it was to give you a peek at what a linalg class usually covers, so to give background & motivation for the computations you do in class
yeah no thank you lol it did clear up some confusion in other areas lol
If $U={(x,0,0) | x \in F}$ and $W={(y,y,0) | y \in F}$ under the context of sums of subspace, why is $U+W={(x,y,0) | x,y \in F}$
Otoro:
U is the span of {(1, 0, 0)} and W is the span of {(1, 1, 0)}
Sorry I haven't learnt about span yet
are you asking why it isn't {(x+y, y, 0) | x,y ∈ F}
you could write it like that too
Yup
it's just that every vector of the form (x+y, y, 0) can also be written in the form (x,y,0) and vice versa
Oh so the vector x+y just became another vector called x?
Just a problem with notations yeah ?
x+y isn't a vector
Oh sorry, scalars I meant
i mean sure if you wanna look at it like that
Okay thanks
Does this extend to the infinite dimensional case?
So if V and W are infinite dimensional, does there always exists a unique linear map between a basis for V and any subset of W?
does there always exists a unique linear map between the a basis for V and any subset of W?
wat
i mean yea if you have a hamel basis for V then i guess this same existence & uniqueness of that linear map will still be true
Cool.
but also nobody cares about bases for infinite dimensional vector spaces
I have to use this for a proof I'm pretty sure.
I mean they are importnat in some context right?
Like for fourier series
not in the strict linear-algebraic sense
But I have heard that people are less interested in studying them.
hamel bases only allow finite linear combos
if you wanna add infinitely many things then convergence issues get in the way
Do you have any idea how you would go about proving this for infintie dimensional spaces. It's clear that if V is finite dimensional, then it's a consequence of Theorem 2.6
But in the infinite-dimensional case right, where $\beta$ is infinite. It seems a bit more difficult to find what the linear transformation has to be.
JohntheDon:
@dusky epoch
what isomorphism
sorry, I meant linear transformation.
recall the definition of a basis: for every vector for every $x \in V$ there exists a family of scalars ${c_v }{v \in \beta}$ such that $$x = \sum{v \in \beta} c_v v,$$ with the proviso that all but finitely many $c_v$ are zero.
moreover, this representation is unique.
Ann:
From what you're showing me it seems that it's going to be very similar to the linear map that they give for the finite-dimensional case where
$T: V \to W$ $T(x) := \sum_{i = 1}^{n} a_iw_i$
Where $a_i$ are the set of scalars that you just gave i.e. $ x = \sum_{i = 1}^{n} a_ix_i $ where $x_i \in \beta$
JohntheDon:
Don't you run into the problem of potentially taking a sum over infinitely many numbers.
Those convergence issues that you were talking about.
oh "all but finitely many are zero"
I see.
So you define the function basically in the same way. So you define the function $ T: V \to W$ $T(x) := \sum_{(c_v \neq 0) \land (v \in \beta)} c_vf(v)$
JohntheDon:
They solved a system of equations.
If I type a lot of this out then I'll be repeating a lot of what they are saying
But basically you were supposed to find a matrix represenation of that linear map between $P_3 \to M_{2 \times 2}$ yea
JohntheDon:
that matrix that they have right $\rho_{c}$, it's a 2x2 matrix and we know that for any 2 x 2 matrix, we can express it as a linear combination of the matrices in the set $C$.
JohntheDon:
oh ok so did they basically figure out the a(matrix_1 in c) + b(Matrix_2 in c) + c(matrix3_in c) + d(Matrix3_in d) = matrix [20 45 -24 69]
Yup
That's exactly it.
When you solve that, those numbers that they have should pop out.
👍
i'll clear my msgs (johnthedon has an unanswered q above)
no problem.
JohntheDon:
I have a question about expression vectors in different coordinates systems. I'm not sure that I am doing the problem correctly. If I'm not can you point out my error and if I'm right can you explain why?
Naturally this is all surprising and confusing when seeing something like this for the first time and I'm just trying to wrap my brain around it as best as I can
Uhh, why do you think you did that wrongly? lol
I don't really know the terminology for this in English, so sorry in advance
Well I just don't understand why the process works I guess
That hasn't clicked yet
But I think you want to change alpha into the coordinate bases w.r.t gamma right?
yeah
So yeah, the coordinate bases w.r.t to some bases is basically we just take the scalars as it's vector (I know this is poorly worded)
So, if we want to change the elements of alpha into the coordinate bases w.r.t to gamma, you need to change it into a linear combination of gamma first
OHHHHHHHHHHHHHHH there's a theorem that says that as long as the basis represents the same vector space then you can express one vector in a certain basis as a linear combination of the basis vectors of a different coordinate system
then, after you found the scalars that satisfies the linear combinations, you take the scalars, and you get the vector w.r.t to gamma base
because it's a linear combination of gamma bases
yes yes yes yes I think that this is starting to make sense now as to why that process works
I don't give a rip if I can do the work if I don't understand what it means so thanks for helping me work though that 🙂
Brain took awhile to see why it worked
gotta understand the why before you can feel good about the how
You're welcome!
Suppose V and W are finite-dimensional and $T \in\mathcal{L}(V,W)$. Prove that there exist a basis of V and a basis of W such that with respect to these bases, all entries of $\mathcal{M}(T)$ are 0 except that the entries in row j , column j , equal 1 for $1 \leq j \leq\dim range T$.
Konoha:
this is rank null theorem problem, but I not certain to say that j,j entries are 1
say v1,v2,...,vn satisfy Tv1=w1,...,Tvn=wn where w1,...,wn is part of the basis of W, and Tu1,..Tuk maps to the null of W
@half forge Well, they gave you multiple choice so there is something you can do. You can take each of the vectors and see if they satisfy they aformentioned conditions yea?.So say if i were to take the first vector $ a = (1 , 1 , -6 )$. I check to see if it is in the span of the aforementioned vectors i.e. there exists $ a,b,c$ s.t. $ a (1,1,1) + b (1, -1, 0) + c( 4, 0 , -5) = (1,1,-6)$ and then check to see if $(1,1,-6)$ is orthogonal to $(1,1,1) \text{ and } (1,-1,0)$ i.e. $(1,1,-6) \cdot (1,1,1) = 0$ and $(1,1,-6) \cdot (1,-1,0) = 0$.
If the vector statisfies all three of those statements then it's the one that you want.
If it doesn't move on to b) c) d) until it does satisfy all three of those statements.
Of course, you could solve directly i.e. without checking all of the vectors.
JohntheDon:
I can go ahead and tell you that the first one (1,1,-6) doesn't work because $(1,1,-6) \dot (1,1,1) = 1 + 1 - 6 = -4 \neq 0$ so $(1,1-6)$ is not orthogonal to $(1,1,1)$. So it's not the vector we are looking for.
JohntheDon:
oh so whicj is the answer?
d) is. But you should probably figure out how to solve for it yourself.
I'll tell you how to do it but I won't give you the answer this time. You need to check if each of those vectors are in the span of (1,1,1) (1,-1,0). If it's in the span, then you check to see what it's distance from (4,0,-5). i.e. use the distance the formula between two points.
why does it say that the components of $\begin{bmatrix} 1 \ -2 \ 1 \end{bmatrix}$ and $\begin{bmatrix}0 \ 1 \ -1 \end{bmatrix}$ add to 0? am i missing something here
polynomial:
for which one?
i'm not talking to you
i'm asking a question
verbatim
Every combination of v = (1,-2,1) and w = (0,1,-1) has components that add to 0.
@dusky epoch
it means they are orthoganal
uh
what
Every combination of v = (1,-2,1) and w = (0,1,-1) has components that add to 0.
this is false
can i see the entire problem
so it's a blank, not a zero
yes.
okay no aight
i just got it
it took me this long bc i lit just woke up
but i just got it
got what
every linear combination of v and w is in the subspace {(x,y,z) | x+y+z=0}
cause v and w are
@half forge Do you know the taylor explansion of the matrix exponential is.
This one is easy to look up
Then you just differentiate term by term.
aight uh.
one of these convos has got to move
ann
what does that have to do with it, though
like
the components do not add to 0
for every combination
actually they do
oh wait
i mean
i guess i get what you mean
but
like
that is very bad wording
?
it's not the worst wording i've seen
but it's kinda wonky yes
wonky enough to confuse my brain in "not yet fully woken up" mode
🙂
what does it mean
for a vectors components to add to 0
is there any particular significance to it
or was that just the way to solve the problem without algebra
i.e. by noticing that they add to 0 after you combine them
it means that the vector's components, when added, give 0
yes but is there any more significance to it
ok
beyond the ability to say that the vector is orthogonal to (1,1,1) i suppose
the answer zero will come significance when you learn orthogonality. @wintry steppe
Why max((A-B)+B) <= max(A-B)+max(B) ?
@dusky epoch I have figured it out with the help of others. Try to think A and B in terms of triangle side length
ok you didn't answer my question
10 <= 6 + 8
She asked you what A and B are
this does not answer my question of "what are A and B in this context"
what part of "what are A and B in this context" do you not understand
did you even read the message where i asked you "what are A and B in this context"
aight that's a lot of symbols
can you like
are A and B supposed to be functions or what
just post the original thing from the start next time?
oh wait. i forgot. i don't get the privilege of getting direct answers to my questions.
lol
rip ann
maybe you should try asking a third time
third time's the charm as the saying goes
(/s)
How to prove max(sum(k*x)) <= max(x) , 0 <= k <= 1 and sum(k) = 1 ?
i know you hate responding to these questions in a simple and clear manner, but what is x?
@weary isle
...ok, so now that you've edited it: what's k now?
it's not clear what you're even trying to say let alone how to prove it
and can you please post your clarification as a new message instead of making a nonsensical edit to your original
@weary isle?
if you don't want me to help you then please say so explicitly
yes
@dusky epoch both k and x are sequences of values
okay... so then why max(sum(k*x)), and not just sum(k*x)?
not that you can't take the max of a single number - you just get the number itself - but the wording is just weird to me
also, will i have to ping you for every single reply? @weary isle
@dusky epoch wait, I am still reorganizing my thought
this answers neither of my questions.
aight what the fuck am i looking at lmao
I mean for the second statment you need to show that 0 (i.e. the zero polynomial is unique). The uniqueness of an additive identity is importnat.
But you've shown what is the most important part.
The set {1, t, t^2, t^3, ..., t^n} is a basis yup.
And if the aforementioned set is linearly independnet then it indeed does form a basis for P^2. There is a theorem that says any linearly independent set that has the same number of elements as the Hamel Dimension of the space is a basis for it.
So yea that works.
Yup
That's the standard basis.
Yea, I've heard about it. I'm doing the same thing and I understand LA alot better than I did when I first took the class.
Yea these are kind of hard and require some algebraic shuffling.
You have to be clever with the algebra
I think that the first thing you probably want to do is use the fact that you have distributivity over scalar additon right, so
$0v = (0 + 0) v = 0v + 0v$
JohntheDon:
That's exactly right, but if you're still very early in a LA class, it might be expected that you don't work so loosely with associativity of vector addition and that you keep the brackets where you have three terms, and show how you move the brackets
That's a fine proof.
@wintry steppe I found the proof very lacking. Where is your let Statement? What properties did you use?
Not sure if this is the right channel but does anyone know how to get the answer to this?
thanks
so
basically like
well, linear algebra involves infinite spaces
those too, but I mean like
you can go an infinite amount in any dimension
1,2,3...infinity
R3
see, in my head, it’s often easiest for me to get intuition by looking at small subsets of the space, and examining what happens to that subset
and doing that is a lot easier to express in abstract algebra
already, learning basic set theory has cleared up tons of confusion
because when I imagine an example in my head, now I can actually write down what that example is
I couldn’t do that before
and I still can’t always do that, which is why I want abstract algebra so I can
I was saying things like “Take N, where N is an arbitrary number. Now if you choose a certain value of N...”
and obviously that makes no sense
if anything it will make your life worse
linear algebra is more concrete than abstract algebra
now I can say “Define N to be the set of numbers (n,2n,....). Now, imagine taking the number n.”
And obviously now it’s a lot more evident exactly what I mean, and a lot easier for me to avoid confusing myself
Concrete isn’t good when I often wind up getting an intuition that’s hand-wavy and not concrete
hey I was gonna say that
ik I did shorthand
you basically just said concrete isn't good because it's not concrete @celest slate
I meant “Let N be the set of numbers n in R such that n^2 < n^4. Now choose a number n from N, and consider the equation n^3....”
yes
general mathematical writing
exactly
is that not... I was under the impression a lot of that writing comes from abstract algebra
well yes but
that sort of set and group writing
lol set and group writing
the knowledge for how to do that would be best explained in an abstract algebra course, right?
what's your goal
what do you like
My goal is, when I get confused and ask a question, to be able to understand the answers I get
why do math and not, biology say
That style of writing you're talking about comes from set theory
yes
that specific example does, John
I think other styles of writing similar to that are from group or ring or stuff theory right?
Abstract Algebra uses this notation because set theory is the basis of all mathematics
I think if you learn any of that you'll just make your problems worse
I know
you seem to have no idea what you're talking about currently, trying to learn abstract algebra on top of that will just make you have more jargon piled onto your nonsense
I meant um
Abstract algebra itself studies properties on sets and operations on them these are algebraic structures.
abstract algebra is a topic, not just notation
I might say “variables come from high school algebra. Matrices come from Linear algebra. Groups come from....”
how would you finish that sentence
I know it’s a topic but it introduces notation is my point
wait what
notation is introduced in every topic
if there's something you don't understand, you look at the notation in the topic you're in already
yes I know
you don't hop to another topic
your entire conception is like this though
so don't say you know when you don't
The most notation you can get from a group is something like this $ \langle G, * \rangle $
JohntheDon:
but I can’t always express my confusion in the notation of the current topic
yep
Until I learned set theory, I couldn’t express my confusion from linear algebra whatsoever
basic basic set theory I mean
I want to learn more advanced set theory
wdym proofs
like, real analysis?
I can do proofs, at least I think I can
as long as I know the foundational concepts for stuff
what book
can you give me an example of what a proofs based problem might look like, and I can tell you if I know how to do it
sure I mean
hang on a sec
let me go get you one of my old proofs
\
Theorem:
Let $a,b,c$ be natural numbers. Then, $(a+b)+c) = a+(b+c)$.
\
Proof:
\
The proof is by induction on $b$, with $a,c$ being fixed. We need to check two things:
\
- When $b=0$, the property holds.
\
- When the property holds for $b$, the property also holds for $b'$, where $b'$ is the successor to $b$.
\
I will frequently be using the properties that $a+b = b+a$ and that $(a'+b) = (a+b)'$.
\
Because for all $a$ it is known that $a+0 = a$, then $(a+0)+c = a+c = a+(0+c)$, so the base case is true.
\
Now, suppose that it has been shown that $(a+b)+c = a+(b+c)$ for some arbitrary $b$. Then, we need to show that $(a+b')+c = a+(b'+c)$. We can do this by the following chain of reasoning:
$$(a+b')+c = (a+b)'+c = ((a+b)+c)' = (a+(b+c))' = ((b+c)+a)' = (b+c)'+a = a+(b+c)' = a+(b'+c)$$
Hence, by induction, the statement holds for all natural numbers.
Notchmath:
besides a stray parenthesis on the first line I just noticed, there’s a proof I did
so in terms of “intro to proofs”, how does that affect things
affect what things
like
next time you get stuck trying to figure something out, just ask about that specific thing and see what the person here tells you to do for that and ask what prereqs they'd recommend maybe
does that give you an idea of where I am with proofs?
would you still recommend I take an intro to proofs class first?
you said you have no goal so it doesn't matter
we can't really recommend anything if you have no goal
I said I did have a goal
you didn't earlier when I asked
yeah I did
you said you couldn't express it
My goal is, when I get confused and ask a question, to be able to understand the answers I get
@celest slate
that's too vague
that’s what I said earlier
that could apply to biology
oh
has nothing to do with math
in math I meant
why do you like math
and I don’t mean conceptually understand, I mean understand the language of math they’re written in
what's so great about math
I like the logic behind it, I like coming up with creative ways to approach problems, I like connecting seemingly unrelated ideas, I like the fact that it’s highly conceptual and less grounded in reality
These are decent reasons. If you like to think about abstractions then math can be a thing for you.
Of course there is logic in and of itself.
You could just study this or other forms of philosophy.
but I don’t have the language to express abstractions
Yea, I understand. I say study whatever you feel.
if you have the abstraction in your mind, you can make the language yourself
I give you permission
if we have $\begin{bmatrix} 1 \ 1 \ 0\end{bmatrix}$
polynomial:
my understanding is that, while to fully express abstractions I would need almost every topic, the one which will most help me express an abstraction is Abstract Algebra
and we reflect that over a line with direction $\begin{bmatrix} 1 \ -1 \ 2\end{bmatrix}$
polynomial:
then do we get $\begin{bmatrix} -1 \ -1 \ 0\end{bmatrix}$
polynomial:
polynomial would you mind waiting a second?
but you're not asking questions
you're just discussing math
why can't you do that in #math-discussion
just ask in a questions channel @wintry steppe
I mean there are a lot of abstractions in a lot of different areas of mathematics lol.
I mean abstract algebra has abstract in it's name and it is full of "abstractions".
n-dimensional spaces
abstract algebra just has the word abstract in it lol
finite n-dimensional spaces
This is linear algebra ; a subset of abstract algebra .
it should probably have a different name, like group, ring, and field theory
yes
this should really be in #math-discussion
but groups rings and fields are what I want to be able to express
ok then learn it
so why would abstract be bad to go to now
@wintry steppe how so
you can safely ignore polynomial
Well, you can't discuss abstract algebra without discussing those things. So if you do want to study those algebraic structures, then you should study abstract algebra
@wintry steppe good logic so if i was talking with someone about dog food in #discrete-math
@wintry steppe and someone came in asking a question
you'd also tell them to not interrupt right
sound logic
you were saying you want to learn abstract stuff, so you decide "I'll learn abstract algebra" - that's bad @celest slate
^
if you want to learn about commutative rings, then you say "I'll learn abstract algebra" - that's good
Right but if you want to study those things such as groups rings and fields, then abstract algebra is fine.
but in particular
like there are genuine ideas to focus on
At a higher level, all the fields of math are pretty abstract
the concepts that I wind up having in my head, I’m pretty sure they’re all groups and rings and fields
and sets
yeah, intro to proofs is probably your best bet
just describe your concepts in english and through examples or whatever and see what people say about them as they are
if they fit to already established notions, great
if not, who cares
sure whatever, I don't believe you
well
just go learn abstract algebra if you're so hell bent on it when you don't seem to have any idea what it really is
just learn it
and those terms are rings and fields and groups
why are we having this conversation if you know the answer
you're just talking about education
because he told me I shouldn’t and I don’t understand why
the rules aren't so strict as you believe @wintry steppe
they don't have to answer you
so what?
that guy
@wintry steppe
said its rude
even though you're the ones talking in a questions channel
so stop interrupting or I'll delete your messages for being rude @wintry steppe

its a general subject channel where questions happen to be allowed
oh
yeah but they're not talking about linear algebra and want me to go somewhere else even tho i want to talk about linear algebra
Notchmath it seems to me that you are more intersted in things like math logic and symbolic logic.
I thought you meant I shouldnt do it until I got to after analysis and linear algebra
completely unrelated
but why do you two have the exact same pfp? 😂
oh okay
lol he wants me to notice him @thorn robin
intro to what
I'm his senpai lmfao
imitation is the highest form of flattery, every day is a compliment
you could have picked anyone, but you chose me
nice try
sweet kid
well
and I’m not approaching any of this with the goal of number theory, at least not moreso than “I do all the cores, and eventually once I have the cores I can expand further to more courses, including number theory”
no no no not at all
I don’t want to cherry-pick
The reason I want to stop analysis for now
It seems more focused on reconceptualising what I already know into a more abstract form
which I mean, yes that’s very helpful
but in terms of allowing me to ask questions outside of what I already know, it’s not
Rudin’s abstract algebra book?
what’s rudin in this context
Okay I guess
here’s what I need to do
Can you briefly explain exactly what analysis (in Rudin) entails, what abstract algebra entails, and what topology entails
so I can understand exactly what the course itself is
well what do you mean more general settings
metric spaces should be between topology and analysis
so
topology is basically a generalization of geometry
adding structures that entail geometric and distance properties in sets Id say
Id say analysis + topology = func anal
Im only saying this, because the motivation for it was euler trying to classify shapes, wasnt it?
analysis is a qualitative way of studying calculus
ohhhh
a more advanced one
well Tao was just sort of proofs-based arithmetic and set theory, as far as I got
well my point being
what exactly is after that
not exactly
generally
thats because analysis is the firtst proofs subject for a lot of people
continuity, convergence, integration..
thats a weird statement
oh of course
but I mean in terms of
what I do first to help develop my intuition for higher level mathematical concepts
wdym it’s a weird statement
seems fine to me
I personally dont know how to even separate or classify my liking of finite vs infinite things
like, I’m more interested in the integers than I am in the reals
graph theory, combinatorics, stuff you can do on a computer
I feel like thats way more specific than saying one likes finite things, merosity
but I get it now ig
more interested in the set of numbers between 0 and 100, and how it relates to other sets of numbers, than I am in the set of numbers between 0 and infinity
ok that sounds weird to me lol
more interested in the unit square and its properties than I am in the infinite plane
but sure, whatever floats your boat
hah
so you didnt have the right idea either 
to feel like I can grab one end, grab the other end, and play with it like putty
bounded is a metric property
I can’t
well
you misunderstand
like
you can’t fold the plane into a torus
well you sort of can but it’s weird
idk
or lie groups ig
I mean like imagine it as a physical object I can interact with, and see what happens as I do different things to it
yeah
but also, imagine taking a square and folding one corner onto another corner
I like
I like numbers as things in space, I guess
not arbitrary coordinates but as actual things
in my head
actual? 
like
aargh i can’t explain myself
like I like to imagine the square that represents 5, and the square that represents 7, stick them on top of each other, and see what I get
or line
or cube or whatever
my point is
you can’t do that with the reals, you can’t do that with infinity
like
I might imagine 5 as a 5x5 grid of points
and imagine 7 as a 7x7 grid of points
and slide those grids around on each other and see what happens
things like that
a lot of what youre saying is already generalized in maths
youre only talking about very specific things
fine
those could be seen from the perspective if any area
you learn how to generalize that and find underlying structures
thats what youll find areas about
what course would you recommend I take
hardly is there a specific example of something
so I could mathematically express and generalize that
uhh
it could be any from basic diff equations, group/ring theory or basic analysis in the line
it does when I can’t stop conceptuaising things that way
wdym
um, up through linear algebra
arithmetic, pre-algebra, geometry, algebra, trig, calculus 1-3, differential equations, linear algebra
statistics
maybe
I got an A in diffeq, but idk that I really understood a thing I was doing
it was... a weird class
but which diff eq?
highschool des?
never had a course that general
ah
so basic ODEs
gotcha
like learning what exponentials are useful for 
dang
imagine having that structure into hs
after hs I didnt know shit
mb
lol were you solving differential equations?
Just checking my answer
2 and 6 are independent ? They both have no free variables in ref
I don’t think I know exactly what that means
wdym by “differential equation”
the term itself wasn’t clearly defined to me
6 isnt
slimvesus:
I think I did some stuff like thag
oh nvm
6 is
or 0
mb
thx fractal
Are you asking are they a linearly indepenent set?
I think I was mostly confused because it felt just like more calculus
Cause 7 isn't.
and also there were drones and mathematica
I wasn’t really
I felt like I wasn’t doing anything
but I got over 100% so
I clearly was doing something
lol ODE's does kind of feel like that though
Calc 1 through DE all felt the same tbh
the drones were only a small thing on occasion
lol I spent most of my time in that class wondering "how the fuck did someone figure out this algorithm to solve this"
I mean
tbf notch
a lot of things there sound like hs math
wdym
It was mostly just recognizing what the equations looked like and then use the standard procedure to solve it.
sure but that was also the case in calc 2 and stuff
the issue is I genuinely can’t remember a single equation that I can tell you with 100% certainty was from DE as opposed to Calc III or even Calc 2
its hard to give motivation to study maths
a lot of it is either self given or by experience
can you give an example
and I’ll see if I know how to solve it
oh
well but that was calc I sort of
slimvesus:
you wouldn’t need to know anything beyond calc 1 to do that
ay''+by'+cy=0
slimvesus:
a,b,c constants
damn slim
we thought of the same 
but yours is not homogenous
yikes
well technically neither, cause yours is specific but not homogenous
If two vectors u = [1, 2], v=[2,4] are linearly dependent, then they span is one dimension less than how many components they have ?
u and v would span R^2 but they are linearly dependent so they just span R?
wym how many components?
ah interesting okay
yeah for sure
if they span a two-dimensional subspace of R^3
would you say they span R^2 or R^3?
lol
you can have all kinds of planes passing through zero in R3
not sure there is any youd call R2
and the kind of isomorphism is very strong might I add
why
they span the plane x,y
if I do c * [1,0,0] and v * [0,1,0] cant I reach everything in r^2 ?
oh okay I think I get it
like you said
[1,0,0] and [0,1,0] both span a two-dimensional subspace of R^3 (in this case the xy plane)
oh okay
and [1,0] and [0,1] together span R^2
I haven't
Should I ?
Yeah it's linear algebra this semester followed by differential equations next semester
The last thing we study is diagonalization and eigenvectors
des + linalg is v crammed
yeah I know linear transformations
isomorphism of vector spaces that is
so as not to clutter?
sure
oof that was discrete math class which I barely remember lol
Injective means that for every input there will be a different output, surjective means one input can map to multiple outputs
oh okay so surjective can have one input map to multiple outputs, it just has to have all outputs covered
lol right
@wintry steppe You're trying to say that if a map is surjective. The the elements of the codmain can correspond to more than one element in the domain.
So for any output you can have multiple inputs
And that's right.
personally the reason I care about surjective and injective is because together you get bijective which means it's invertible
and usually you like to do and undo things
wait so isomorphism
is this ?
S(T(x)) = x
T(S(x)) = x
oh okay I had no idea it was called isomorphism
okay I gotcha
its nice to have a link with bijective, making connections here lol
so
Fractal verified for me it was indeed deq I took
and I also remember why it was so weird
it was mixed with calc III during the first semester of the year
and during the second semester, there was like nothing
Sure, I'll try
halfway through the second semester all the other students graduated and I was the only one left
and the course was designed around that earlier end date
but it meant for half a semester I was doing literally nothing
So you want a linear transformation like T(x, y) right ?
that’s why I couldn’t remember what I did
alright
because I didn’t
I was taking DE and I wasn’t aware of it
I thought I was still in calc iii
isomorphism of vector spaces <=> bijective homomorphism <=> bijective linear transformation <=> invertible linear transformation
preserves the operations of vector spaces
Yea it would just have to be additive I think
it would be a homomorphism of groups, but not of vector spaces
slimvesus:
homomorphisms/isomorphisms in general are to be specified
Same.
I mean
modules have their own ig
in fact, I forgot how isomorphisms worked for a second and I only recalled it because theyre bijective homomorphisms 
That isn't an isomorphism.
well
Oh I see what you're saying.




