#linear-algebra

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vast torrent
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dim(M)

restive shuttle
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it is the rows?

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so 3 rows, 3 dimensions?

vast torrent
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No

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Do you know the dimension of a space?

restive shuttle
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no i dont

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we werent introduced that

vast torrent
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It's the minimum number of vectors you need to span the space

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What's the dimension of R^n?

restive shuttle
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n?

vast torrent
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Yes

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The dimension of a matrix

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Is the dimension of the span of its columns

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This is a 3x3 matrix

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If its dimension is 3

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Then the vector colums span R3

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Which is bad

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Do you see why it's bad?

restive shuttle
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no i dont

vast torrent
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Because the problem wants vectors that don't span R3

restive shuttle
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my prof said that if a 3x3 spans r3, it just has to be consistent

vast torrent
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That's absolutely false

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Ill give a counterexample

restive shuttle
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consistent for any (a, b, c)

vast torrent
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$\begin{bmatrix} 1 & 0 & 0 \ 0 & 0 & 0 \ 0 & 0 & 0 \end{bmatrix}$

stoic pythonBOT
vast torrent
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is this a consistent system

restive shuttle
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no

vast torrent
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why not

restive shuttle
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0x cannot equal some b

vast torrent
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if you dont like that example

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$\begin{bmatrix} 1 & 1 & 1 \ 0 & 0 & 0 \ 0 & 0 & 0 \end{bmatrix} \begin{bmatrix} x \ y \ z \end{bmatrix} = \begin{bmatrix} a \ b \ c \end{bmatrix}$

half ice
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It is true that the matrix the vectors make should be non-singular

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That is, will reduce to identity

restive shuttle
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so this has 2 free variables, so it's not consistent?

stoic pythonBOT
vast torrent
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why isn't this consistent?

restive shuttle
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because there are 2 free variables?

vast torrent
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what's your definition of consistent

half ice
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It is worth knowing exactly why you'd care about rref to identity

restive shuttle
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oh uh, having a solution

vast torrent
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sure, what do you have a solution for

restive shuttle
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you have a solution for a, 0, 0?

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wait

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b and c can't be anything

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other than 0

vast torrent
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why not

restive shuttle
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since there are 0s

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there's no (x,y,z) that makes b something other than 0

vast torrent
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I think we learned different definitions of consistent

restive shuttle
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what's your defn of consistent

half ice
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I'll use (2,-1,3), (1,2,2), (-4,1,1) as an example.

If these are linearly dependent, then there's a non-trivial way to choose a,b,c such that:
a(2,-1,3) + b(1,2,2) + c(-4,1,1) = (0,0,0)

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But that can be rewritten with a matrix

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[2 1 -4][a] [0]
[-1 2 1][b] = [0]
[3 2 1][c] [0]

vast torrent
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um, you have the order switched

half ice
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Oop I do

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Thx

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Basically, the way that reduces decides what a,b,c need to be

vast torrent
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okay so I learned inconsistent was a statement about a particular equation, not a statement about all equations with a matrix

half ice
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If it reduces to identity, then a = 0, b = 0, c = 0 and that is the definition of independence

vast torrent
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that seems to be the source of confusion

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anyway matrices aren't equations

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and knowing that a set of vectors doesnt span R2 doesnt require an equation

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you just need to find the dimension of the matrix of columns of your vectors and make sure the dimension is < 3

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that's where the row reduction comes in

half ice
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If it doesn't reduce to identity, then there's a way to make a,b,c something other than 0 but still solve the equation, which is the definition of lin dep

vast torrent
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the question isnt asking to show the vectors aren't lin. ind. baytrex it sounds like they haven't learned that phrase yet

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have you?

restive shuttle
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ive learned linear independence

vast torrent
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oh good, can you restate your problem in terms of linear dependence?

restive shuttle
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so i want to understand some things conceptually first. Would you agree linear independence for a set of vectors {v1,...vm} is when a1v1+...+amvm = 0 vector, has no non-trivial solutions?

vast torrent
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that's the definition, yes

restive shuttle
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so span of vectors, is the set of all their linear combinations

nimble egret
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Sure

restive shuttle
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and if all the vectors in r^n, are in the span{v1...vm} we can that that set spans R^n

vast torrent
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bzzzzt

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oh

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R^n you mean

restive shuttle
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yes

vast torrent
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you mean if

gray dust
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m & n subscripts vvThink

vast torrent
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span{v1,...,vn}=R^n

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is that what you mean

restive shuttle
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yeaaa i think

vast torrent
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but surely span{v1,...,vn,0}=R^n too so keep that in mind

restive shuttle
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right

vast torrent
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anyway if you want to use the answer key's solution my way is the way to go

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through row reduction

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but there's many ways to do it, all equivalent

restive shuttle
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my row reduction has the answer key solution in it, and i am not sure why. : (

vast torrent
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because it's turning the solution into a problem of choosing z1 and z2 such that the dimension of the matrix is less than 3

restive shuttle
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OH

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wait

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so if the bottom row is all 0s

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does that reduce the dimension

vast torrent
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You need a tHeOrEm

restive shuttle
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ok lemme look at all my theorems ;-;

rotund jetty
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@vast torrent if you have a sec, I have a follow up question about the problem I'm working on.

So, I'm asked to prove that every element is its own inverse. My approach rn is

x + x = [1]x + [1]x = ([1] + [1])x = [0]x

however, [0]x isn't necessarily 0 right? like an earlier problem in this assignment actually had a scalar multiplication where [0]x wasn't 0. So I'm kinda like... completely stuck

vast torrent
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The dimension of a matrix is the number of pivot rows in row echelon form

restive shuttle
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pivot rows

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what's that mean

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leading variables?

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leading terms?

half ice
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You can also think of linear independence as "you can't write one of the vectors as a combination of the other vectors"

vast torrent
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0 scalar times vector is always 0 vector in a vector space

rotund jetty
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wait

restive shuttle
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is the pivot rows = to the dimension

vast torrent
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Doesn't say these algebraic structures are vector spaces

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In fact they aren't

half ice
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A basis of a vector space is a linearly independent set that spans the space

rotund jetty
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it's a vector space

vast torrent
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Oh

half ice
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Important theorem: Any basis of a vector space has the same number of vectors in it

rotund jetty
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it has a 0 element (which is 3), 1x = x, and it satisfies all the axioms

vast torrent
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Yes okay but "0" is then not the zero vector

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Since its not even in V

rotund jetty
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OH WAIT YES

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SCALAR 0 TIMES X GIVES 3

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WHICH IS 0

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FFS

half ice
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So this gets us interested in this "special number". We call it the dimension of the space. The dimension is the number of vectors in any basis of the space

rotund jetty
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I'm SO sorry that was a major dumbass moment

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I should sleep

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thanks again for the help :)

vast torrent
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Uh this isnt reduced but

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Pretend entry 2,1 was 0

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The pivots are the first non zero entries in each row

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After the matrix is put into row echelon form

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It still isnt reduced one sec

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Better

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The pivots are the circled numbers

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Pivot rows are rows with pivots

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The theorem is that the dimension of a matrix is the number of pivot rows

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In row echelon form

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That's what your answer key is doing

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The dimension of the matrix is what dimension you get from the space spanned by the columns

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And since you want the span to be <3, you want less than 3 pivot rows in row echelon forn

restive shuttle
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oh so, if i make the last row 0 0 0, then ive reduced the pivots and also the dimensions

vast torrent
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You got it

restive shuttle
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oh ok. thanks

vast torrent
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You also see from.that theorem that no choice will have the dimension 1

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Because you have 2 pivot rows no matter what

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Right?

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@restive shuttle i just remembered that the dimension of the matrix's space is called rank

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I forgot the term, sorry

pulsar turret
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I am working on a problem and have to show that a polynomial f could be rewritten as a linear combination of p1, p2 and p3. So what you do is (ap1 + bp2 + cp3 = f), I found one solution (a,b,c) but how do you know there are not more solutions?

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is it because it is "Linear" that it only has 1 solution if so, my question still stands, how are you sure there is only 1 solution. And is there a way to visualize this? I am more of a visual learner so I'm having difficultys with an abstract subject as this itself

dusky epoch
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is {p1, p2, p3} known to be linearly independent?

pulsar turret
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it doesnt say

dusky epoch
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then i'm gonna need to see what p1, p2 and p3 are

pulsar turret
dusky epoch
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,rccw

stoic pythonBOT
dusky epoch
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ok at a glance this looks linearly independent to me

pulsar turret
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linearly independent meaning the only way to get to the solution f is by changing (a,b,c) in my example?

dusky epoch
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no

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linearly independent means linearly independent

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it means that $c_1 p_1 + c_2 p_2 + c_3 p_3 = 0$ only if $c_k = 0$ (where $k = 1, 2, 3$)

stoic pythonBOT
dusky epoch
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i mean ok suppose you have your expression $f = ap_1 + bp_2 + cp_3$

stoic pythonBOT
dusky epoch
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and suppose there's a different expression of $f$ as a linear combination of $p_1, p_2$ and $p_3$: $$f = a'p_1 + b'p_2 + c'p_3$$

stoic pythonBOT
dusky epoch
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subtract these two, and you'll get $(a - a')p_1 + (b - b')p_2 + (c - c')p_3 = 0$

stoic pythonBOT
dusky epoch
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and by linear independence, you'll get that $a-a'=0$, $b-b'=0$ and $c-c'=0$ so the two expressions were actually the same all along

stoic pythonBOT
pulsar turret
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idk why I'm having difficultys with this

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so the difference of f and f' is the coeficient?

dusky epoch
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there is no f'

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you found one solution, (a,b,c)

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i said

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what if there was another

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and called it (a',b',c')

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but then it turned out mine and yours were actually one and the same

pulsar turret
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how do you know?

dusky epoch
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reread what i wrote lmao

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i don't want to go full broken-record here

pulsar turret
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ah ok

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so you only have 1 solution if your p1, p2 and p3 is linearly independent?

dusky epoch
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yes that's the whole point

pulsar turret
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def of linear independence is when you sum of all vectors equals zero vector when only your coeff equal zero. Is it still linear independent its not the zero vector?

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for example like (a) this is a polynomial function of degree 2

dusky epoch
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you're missing the point

pulsar turret
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it is right? because zero vector doesn't neccerally mean 0

dusky epoch
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ugh

pulsar turret
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def of linear independence is when you sum of all vectors equals zero vector when only your coeff equal zero. Is it still linear independent its not the zero vector?
@pulsar turret well I ment if it's not zero instead of zero vector at the end.

warm wedge
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Any good videos that can teach me how a projection matrix, view matrix and a model matrix work?

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I'm having a hard time understanding them

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I just started learning linear algebra

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I've recently finished 3blue1brown's playlist

dusky epoch
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maybe it's not worth your time to jump headfirst into that stuff? you gotta spend some time with more basic linear algebra concepts to build up a better intuition

warm wedge
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What are the things that I'll need to know to be fluent with 3d graphics

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Can you tell me what should i do?

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Where should i start?

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I understand some of it

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From 3blue1brown's playlist

dusky epoch
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pick up a linear algebra textbook, read it and do the exercises. 3b1b's playlist is good but it's not meant as a standalone course.

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are you self-studying linalg?

warm wedge
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Yep

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I wanna make video games

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And i wanna be as perfect as possible

quartz compass
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making videogames is an entirely different task

warm wedge
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Not entirely

quartz compass
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entirely

warm wedge
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3d games

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They make use of linear algebra

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Depends on what video game you're making honestly

dusky epoch
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what merosity is trying to say is that there's a lot more to video game development than linear algebra

warm wedge
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2d games need very little linear algebra

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Oh

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So, what do i start with, any suggestions?

quartz compass
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start learning unity or blender

warm wedge
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I wanna be really thorough with this subject

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Blender?

quartz compass
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it's a 3d modelling software

warm wedge
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I know

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But why blender

quartz compass
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cause you seem clueless and it's free

warm wedge
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Okay

quartz compass
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houdini is cool though but is hardcore math

warm wedge
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And what about the mathematical part? Any good textbooks you recommend?

quartz compass
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I already gave you my recommendation

warm wedge
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Okay

quartz compass
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drop the math if you want to make a videogame

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you can learn math but it's just procrastination at this point

warm wedge
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Okay but I'm working with opengl

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It's a low level api

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Meaning a lot of math

quartz compass
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don't

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no reason to use opengl to make your first game

warm wedge
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Okay

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I needed to learn blender anyway

quartz compass
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finishing a game is a huge task

warm wedge
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And i guess i can pick opengl back up when I'm a pro

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I know

quartz compass
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I would almost say don't really even learn blender

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and just use unity or something to that effect

warm wedge
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I kinda wanted to make my own engine and start working from that

quartz compass
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no no no

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this is exactly what I was talking about

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making a game engine and making a game are entirely different things

warm wedge
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I see

quartz compass
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if you want to make a game engine, better off trying to help contribute to Godot

warm wedge
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You actually made me realise a big part of my course

quartz compass
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rather than reinventing the wheel

warm wedge
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Well

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I guess that's fine

quartz compass
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Don't get me wrong, understanding all this stuff and wanting to do everything is nice but

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you'll never actually finish anything if you go about it this way

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at least if you can finish a project, you can refine it and deepen it each time you go through the process from start to finish

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you're just not going to be able to understand all the little details of every single little thing

warm wedge
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Well i guess

quartz compass
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you'll be like 90 years old by the time you finish your first game

warm wedge
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That sounds like quite a big hinge breaker

quartz compass
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a big part of making a game is marketing it, promoting it, actually playtesting it to make sure people enjoy it and it's fun and designed well, etc

warm wedge
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Yeah

quartz compass
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you could easily spend years just learning about design

warm wedge
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Hmm

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I guess I'll start working from unity then

quartz compass
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good luck and have fun

warm wedge
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Thanks

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But I'm still a bit curious

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About one thing

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Might be kinda pretentious

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But one thing that keeps coming to my mind is minecraft

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Notch made everything in a week after understanding it all

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Yeah he may have taken some years to understand it

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All the things that went into jt

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It

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But it is definitely possible

dusky epoch
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don't compare yourself to others

warm wedge
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Yeah

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You're right

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I'll start with unity

wintry steppe
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Hi, I have a question. I'm a first year taking linear algebra for the first time. So how do I know if a two vectors with any linear combination can represent the entire R^2?

indigo cloak
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@wintry steppe is that peepeepoopooman in your pic lmao

feral grove
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this depends on what you've done, the answer ends up being that they need to be linearly independent, but for a class you'd probably need to prove that

obsidian jackal
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Shouldnt be AA^-1 = I?

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And with the I the same size with A

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How is Ix=x shown in the next image?

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Shouldnr the product of Ix the same size with A?

wintry steppe
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@indigo cloak yea it is LOL

half ice
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@obsidian jackal
Let's say you have the matrix equation
Ax = b

You can multiply both sides on the left by A':
x = A'b
Giving you the solution

dusky epoch
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Ix = x is kind of the point

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that's the fundamental property of the identity matrix

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it's the matrix equivalent of the number 1

obsidian jackal
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So the size of I doesn't matter?

dusky epoch
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wdym

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clearly I here is I_2 bc no other identity matrix would make sense size-wise

obsidian jackal
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1_2 bc?

dusky epoch
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what

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no i said I_2 not 1_2

obsidian jackal
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What does that mean?

dusky epoch
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identity matrix of size 2????

obsidian jackal
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Oh

dusky epoch
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why would i even say $1_2$. $1_2$ doesn't make any sense.

stoic pythonBOT
obsidian jackal
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I am not familiar of typing with matrices

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Sorry

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What I mean was with A with the size of m_n and AA'=I_n

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Shouldn't the I_n transform the column vector x to a matric of m_n?

dusky epoch
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m_n

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no

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m by n

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or $m \times n$

stoic pythonBOT
dusky epoch
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not "m_n"

obsidian jackal
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Oh okay

dusky epoch
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anyway, $I_n$ is $n \times n$ and $x$ is $n \times 1$

stoic pythonBOT
dusky epoch
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$(n \times n)(n \times 1) = (n \times 1)$

stoic pythonBOT
obsidian jackal
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Oh yeah when I multiply it from the left

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Okay i was just confused

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Thank you

heady eagle
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Is the โˆˆ symbol the same as < or related?

sonic osprey
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no

dusty vale
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How to find area of a triangle with vertices A(-1,2,3) B(3,0,2) C(1,4,5) ?

south wadi
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Try the #preschool channel

dusty vale
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@south wadi where is this channel?

south wadi
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i guess they dont have one

gray dust
pale shell
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What is the signifigance of the dot prpduct

kindred oxide
vast torrent
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@kindred oxide what have you tried, where are you stuck, etc

kindred oxide
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ive tried simplifying the 3 vectors (ie dividing the left vector by 4, the middle by 3 and the right by 2) and ive tried to get h to equal the other x values. it didnt work. i feel like im missing something. I tried entering "none" but that was also wrong

vast torrent
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when you say you were trying to get h to equal the other x values

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how would that work, if there are 2 other x values?

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You're not completely off, but your approach is unfocused

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what are you trying to do

kindred oxide
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if you are trying to find the value when h doesnt span R3, dont you want to get 2 of the lines to equal each other?

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idk im kind of lost

vast torrent
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these are vectors, not lines. a span of one vector is a line

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it is true that

kindred oxide
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my bad i meant vectors

vast torrent
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if a1, a2, a3 don't span R3

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then one of the vectors is a linear combination of the others

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but here it's not easy to do that

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if you happen to find an h that works, then great

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but I recommend another approach if theres no obvious h. And to me, there isn't an obvious h

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let's define a matrix

kindred oxide
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whats your approach?

vast torrent
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$\mathbf A : = \begin{bmatrix} & & \ \mathbf{a}_1 & \mathbf{a}_2 & \mathbf{a}_3\ & & \end{bmatrix}$

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the columns of A are the 3 vectors

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what's the rank of A?

stoic pythonBOT
vast torrent
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whats A's rank?

kindred oxide
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i dont understand what you mean

vast torrent
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have you ever encountered the term "rank" of a matrix

kindred oxide
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no

vast torrent
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okay

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how about "column space"

kindred oxide
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is it the n x m thing>

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?

vast torrent
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the column space of a matrix is the span of its columns

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so the column space of A is the span(a1,a2,a3)

kindred oxide
#

that makes sense

vast torrent
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the rank of A is the dimension of the column space

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so, I ask you

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what is rank(A)?

kindred oxide
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R3?

vast torrent
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it's a number

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the dimension of a vector space is a number

kindred oxide
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3?

vast torrent
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well it's either 3 or 2

kindred oxide
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because you have 3 columns

vast torrent
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but if the vectors a1,a2, and a3 span a 2 dimension space

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then rank(A) = 2

kindred oxide
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since we want an h where its not in R3, would you use the rank 2?

vast torrent
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the question is asking for which h is the dimension of span(a1,a2,a3) equal to 2?

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agree or disagree

kindred oxide
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i agree

vast torrent
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okay

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know what row reduction is?

kindred oxide
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yea

vast torrent
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Theorem

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the rank of a matrix is the same as the rank of the row reduced form of the matrix

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ALSO

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it's the same as the number of pivot rows when row reduced

kindred oxide
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so would you set the vector with h as the augmented row?

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and then reduce the matrix?

vast torrent
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no augmenting

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you want to row reduce A in such a way that it only has 2 pivot rows

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know what a pivot row is?

kindred oxide
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yea

vast torrent
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that's how I would do it

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there are other ways but I think this way is easiest

kindred oxide
#

let me try

vast torrent
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another way would be to take the determinant, it will be a function of h, and find the h where the determinant is 0

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$\begin{vmatrix} 8 & h & 2 \ -20 & -12 & -18 \ 4 & 3 & 4 \end{vmatrix} = 0$

stoic pythonBOT
vast torrent
#

that's another approach

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that uses a theorem that if a square matrix doesn't have full rank, its determinant is zero. if and only if actually

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there's an advantage to the determinant way

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in that row reductions and column reductions are allowed, not just row

formal pond
dusky epoch
#

yes

formal pond
dusky epoch
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are they?

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you seemed able to check the previous four matrices against the definitions of REF and RREF

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what's giving you trouble with these two?

formal pond
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i have something else written for these answers in my notes so was feeling conflicted if I wrote them down incorrectly in lecture. I wrote neither for the first one and forgot to write an answer for the second one.

dusky epoch
#

wrong bc those are both in rref

formal pond
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the neither one is throwing me off. i may have just miswrote it earlier.

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okay for sure

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thanks

formal pond
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So I used elementary row operations to change the original matrix into REF but I need to change it to RREF and am having some trouble because there is a 2 in the column in place of a 0 in the final matrix. Any tips? I also tried subtract R1 by 1.

gray dust
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replace R1 w/ R1-2R2

formal pond
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Okay thanks ๐Ÿ‘

gray dust
inland warren
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This is technically a question on my quantum homework but I figured it's more of a linear algebra question overall

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Can this be done the same way a diagonal matrix is exponentiated by just applying the exponential across the diagonal?

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It doesn't seem like it'd be that easy and I'm unsure if I can perform row operations on a matrix that is an exponent

dusky epoch
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no it can't

quartz compass
#

that matrix satisfies the equation A^2=-I

dusky epoch
#

but you can make use of that ^

quartz compass
#

you can simplify it via power series fairly easily

inland warren
#

A being the matrix?

dusky epoch
#

yes

inland warren
#

When I square the matrix, I get a diagonal matrix with both entries being -1

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How do I get it to satisfy the equation?

vast torrent
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what's A^3 and A^4?

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A^3 = A^2A

inland warren
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A^3 is {0,-1}, {1, 0} and A^4 is {1,0}, {0,1}

vast torrent
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so A^2 = -I, A^3 = -A, and A^4 = I

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and then it cycles

inland warren
#

This is giving me complex number vibes lol

vast torrent
#

well sure, your matrix A is a square root of -I

quartz compass
#

more than a vibe I'd say

vast torrent
#

not a coincidence that it's giving you vibes

inland warren
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Hehe

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Very cool

half ice
#

The answer also will be very complex number-y

vast torrent
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so because the exponential function is absolutely convergent\

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you can split the series into parts

#

though I wonder if that's the easiest way

quartz compass
#

well if you know the power series for e^x, sinx, and cosx should be pretty straight forward

inland warren
#

Should I go up to 4th order to encapsulate the whole cycle?

#

Also for future reference, is this a somewhat well-known matrix that I should memorize? It's super neat that it has the same properties as a complex number

#

But I'm not sure if I would have been able to recognize the pattern without everyone's help here lol

vast torrent
#

Knowing the existence of matrices such that Mยฒ=-I is more important than knowing what they exactly look like

#

And you could brute force this with diagonalization if you didn't think of this

inland warren
#

Alrighty, I'll try to look into it

feral grove
#

uh are those 1's I's?

inland warren
#

Unless it's got a dot over it, it's a 1 for this particular problem lol

dusky epoch
#

the first term should be I not 1

#

identity matrix

inland warren
#

ooooh

#

Is that specifically for expanding out series that involve matrices?

#

I guess because it would be A^0 and that ends up being I

feral grove
#

precisely

inland warren
#

Gotchaaa

#

It's still somewhat lost on me why I can say that a matrix is equal to a number or an imaginary number. That seems kind of illegal to me but I'm not the most knowledgeable on this type of thing

#

The matrices I get in the power series expansion do very closely resemble the Pauli matrices in QM but I think that the problem is now starting to delve more into the physics side of things

vast torrent
#

It's not that you're treating the matrix as a number

#

It's that since the entries of the matrix cycle you can examine each entry of the matrix as a power series of a number

#

The numbers being 0, 1, or -1

dusky epoch
#

It's still somewhat lost on me why I can say that a matrix is equal to a number or an imaginary number. That seems kind of illegal to me but I'm not the most knowledgeable on this type of thing
it's not quite formally correct

chrome current
vast torrent
#

Well the matrix to the right of X is invertible

#

So it will probably be easier to right multiply both sides by [[-7,-3],[2,1]]-ยน so you're dealing with 3 matrices instead of 4

chrome current
#

I've done that but I get stuck after

vast torrent
#

So what's the new matrix equation after doing that

#

I used a computer, we get

chrome current
vast torrent
#

good

chrome current
#

Is that right?

vast torrent
#

I like that column of zeros, I have a feeling it will make life easier

#

yes. I didn't feel like doing it by hand, the computer gave that answer

#

let's write X = [[a,b],[c,d]]

#

$\begin{bmatrix} 6 & -2 \ -3 & 1 \end{bmatrix} \begin{bmatrix} a & b \ c & d \end{bmatrix} = \begin{bmatrix} -4 & 0 \ 2 & 0 \end{bmatrix}$

stoic pythonBOT
vast torrent
#

we should be able to get 4 equations in 4 unknowns for this

#

and the zero column should make 2 of those equations simple

#

what are the 4 equations?

chrome current
vast torrent
#

okay that looks good

#

let's do the 0 entries first

#

$\begin{cases} 6b - 2d = 0 \ -3b + d = 0 \end{cases}$

stoic pythonBOT
vast torrent
#

the other equations are

#

$\begin{cases} 6a - 2c = -4 \ -3a + c = 2 \end{cases}$

stoic pythonBOT
chrome current
#

I know it sounds dumb, but I stuck there, I get answers like 6b-6b=0

vast torrent
#

it doesnt sound dumb, you're thrown off because the answer isn't unique

#

are you asked to find an X, or all possible X?

rose bay
chrome current
#

an X

vast torrent
#

mag, the chat is in use

#

you're confused I think because you're looking to find a unique answer and the answer isn't unique

#

$\begin{cases} 6b - 2d = 0 \ -3b + d = 0 \end{cases}$

stoic pythonBOT
vast torrent
#

you just need to find any solution to this

#

and note they're effectively the same equation, the second one times -2 is the first equation

#

so all you have are d = 3b

chrome current
#

my book says to find the X, but that might be wrong

vast torrent
#

and since b and d aren't in the other 2 equations, you can choose them arbitrarily

#

so let's introduce a parameter then

rose bay
#

@vast torrent so? this is after all a public chat why would I not be allowed to ask my question as well? if you wanna have a 1o1 conversation you should go into a private chat why so toxic?

vast torrent
#

if b = t, then d = 3t, where t is any real number

#

$X = \begin{bmatrix} ? & t \ ? & 3t \end{bmatrix}$

stoic pythonBOT
vast torrent
#

what about the first column then

chrome current
#

really don't know

vast torrent
#

do the same thing

#

$\begin{cases} 6b - 2d = 0 \ -3b + d = 0 \end{cases}$

stoic pythonBOT
vast torrent
#

relate b and d

#

err thats what we just did

#

$\begin{cases} 6a - 2c = -4 \ -3a + c = 2 \end{cases}$

stoic pythonBOT
vast torrent
#

relate a and c

rose bay
#

pls tell me when you are done so that I know when I am allowed to post my question again

vast torrent
#

just solve for a in terms of c or solve for c in terms of a

#

if I told you x + y = 3

#

and asked you to solve for y

#

you would tell me y = 3 - x

#

does that make sense?

chrome current
vast torrent
#

exactly

#

a and c are related by c = 2 + 3a

#

and a doesnt have a constraint

#

so if a is any real number s

#

c = 2 + 3s

#

$X = \begin{bmatrix} s & t \2+3s & 3t \end{bmatrix}$

stoic pythonBOT
vast torrent
#

any real numbers s and t will make X a solution to your matrix equation

chrome current
#

ohhh snap, I think I understand now

vast torrent
#

you were tripped up, I'm pretty sure, because the answer isn't unique

#

you were trying to solve for a b c and d when in fact you can only reduce it to two variables, you cant solve for 4 constants

chrome current
#

yee I havn't seen that before

vast torrent
#

so I think that's why you were confused

chrome current
#

yeh

dusky epoch
#

$X = \begin{bmatrix} 0&0\2&0 \end{bmatrix} + \begin{bmatrix} 1\3 \end{bmatrix} \begin{bmatrix} s&t \end{bmatrix}$

chrome current
#

Big thanks man!!

stoic pythonBOT
dusky epoch
#

uwu

vast torrent
#

oh that's a nice way to say X, do you see why that's the same Den

chrome current
#

noo

vast torrent
#

@rose bay you're up at bat

rose bay
#

ty

vast torrent
#

try multiplying it out using matrix multiplication and you'll see

#

it's a 2x1 matrix times a 1x2 matrix so you're adding two 2x2 matrices together

chrome current
#

oh ye

rose bay
#

I get log(6+root(x-1)-(x-1)) and not what my prof got in his solution can anyone tell me how to do this correctly? :)

dusky epoch
#

you got what

chrome current
#

I'll spend some time getting good at it now, big thanks again!

vast torrent
rose bay
#

the task was to find the x when the result is 2

limpid osprey
#

Is this for linear equations as well

wintry steppe
#

yes

#

solving for A

limpid osprey
#

Okay so

#

I was solving 2 linear equations using the substitution method.

#

But got different values when I change the values I try to find first.

#

It should be
A=60
B=40

#

Intended answer

#

But when I try to find B first, I get B=60

#

My teacher tried it too.

#

But thats also what she got.

#

Problem =
You need 5% solution in 100ML
You only have 2% and 7% solutions, how much ML of 2% and 7% do you need to get 5% solution in 100ML.

junior nacelle
#

40 ml of 2%, 60 mls of 7%

#

@limpid osprey

limpid osprey
#

It should be

#

60ml is 2%

junior nacelle
#

@limpid osprey that is 4% final solution, not 5% right?

limpid osprey
#

Yeah

#

I just checked as well

dry spear
#

hey I've been trying to solve this for 2 days now I don't know if I'm even doing it right

#

tag me if you can help

quartz compass
#

not sure how you mean "within the matrix"

#

but yeah, a multiple of the first column will be added to a multiple of the second column to get your resulting vector

#

linearity is really just the property of saying if you know where your basis vectors transform then you know where all vectors transform

#

which is pretty handy

wintry steppe
gilded bobcat
#

@dry spear do you still need help?

dry spear
#

@gilded bobcat yes

#

also how do I solve it with so many variables

gilded bobcat
#

You don't have to,

#

just solve it for a and b

#

and your expression for V in the 2nd image is not correct

dusky epoch
#

can i see the original problem

gilded bobcat
dusky epoch
#

2a or 2b?

gilded bobcat
#

both I guess

dry spear
#

a and b

dusky epoch
#

ok let's start with a

#

what's giving you trouble in a

dry spear
#

there's so many variables in the equations I got

dusky epoch
#

how

#

can you show your equations

dusky epoch
#

...

#

๐Ÿ‘ป

thorn prairie
#

How i do the multiplication?

#

its 2 different ones

pliant harbor
#

The coefficients of the vectors become column coefficients in a sum.

#

So you have 5(5, -2)-(1,-7)+3...

dusky epoch
#

@thorn prairie do you know how matrix multiplication works?

thorn prairie
#

@dusky epoch i multiply each line with the column?

dusky epoch
#

...that's one way of putting it, i guess

#

however, horizontals in matrices are usually called rows rather than lines in english

thorn prairie
#

ok nice

#

@dusky epoch i do linear algebra in greek so I dont know the terms

#

so il have a 2x1 matrix?

#

with the sum of all on the first row

#

and sum of all on 2nd row?

dusky epoch
#

the first one? it's a 2x1 matrix yes

#

not sure if "sum of all" is an appropriate description of the content

thorn prairie
#

it will be 5 ( 5 -2 ) + (-1)( 1 -7 ) + ....

dusky epoch
#

the first entry will be 5*5 + 1*(-1) + (-8)*3 + 4*(-2)

thorn prairie
#

ok nice i got it

dusky epoch
#

the second entry will be (-2)*5 + (-7)*(-1) + 3*3 + (-5)*(-2)

thorn prairie
#

so the final answer will be (8 16)

dusky epoch
#

assuming you didn't fuck up your arithmetic, yes

thorn prairie
#

@dusky epoch tbh looking at my theory they didnt explain it to mee

#

im trying to guess kind of based on other stuff we wrote in class

#

and the 2nd will be something like ( 1 -9 12 -4 )

gilded bobcat
#

shouldn't it be transpose of (8 16){assuming it is correct}?

thorn prairie
#

8 16 as a column

#

8

#

16

gilded bobcat
#

ok then

dusky epoch
#

here

thorn prairie
#

and 1
-9
12
-4

#

i see

#

i dont think we will do with the 2nd matrix being more than a column

#

Thanks tho

#

saved the picture haha

gilded bobcat
thorn prairie
#

honestly the theory is crap

dusky epoch
#

can you show the statement of the linear dependence lemma @gilded bobcat

thorn prairie
#

Find the linear system corresponding to the equation Ax = b and find the solution x as a vector.

#

its basically doing the multiplication again?

dusky epoch
#

yes

thorn prairie
#

the answer of the multiplication is the x vector?

dusky epoch
#

Ax = b, where x = [x1; x2; x3]

#

you'll have three equations

gilded bobcat
dusky epoch
#

well

thorn prairie
#

so finding the linear system is just writing those numbers again just putting x1 , x2 ,x3 up front?

dusky epoch
#

this lemma tells you that, since {w_1, ..., w_n} is LD, you can find a vector in there that is in the span of what came before it and removing which from the list won't diminish the span @gilded bobcat

#

@thorn prairie ...yes?

#

bad wording but yes

thorn prairie
#

hm ok i see

#

i see that the exercises are easy but they are saying same things differently and i dont really understand the difference

gilded bobcat
#

yes, but let us assume that w's form a basis, then w's are LI too right? and since u belongs to V then we can write u as a linear combination of w's,

dusky epoch
#

no??

#

wait

#

ok wait

#

misread, sorry

#

yeah so the list with the u1 is LD

thorn prairie
dusky epoch
#

so it's from THAT list that we can throw out a vector

gilded bobcat
#

rather in a linear sum of u and w, u will be the one to have a non 0 coefficient

dusky epoch
#

but it can't be u1

#

well

#

okay hang on

#

ugh

#

kinda hard talking to two people at once

thorn prairie
#

haha sorry

gilded bobcat
#

i can wait tho

thorn prairie
#

i can go do calculus haha

dusky epoch
#

the vector that the LD lemma guarantees you can throw out

#

can't be the first in the list

#

unless the first vector in the list is 0

gilded bobcat
#

can't be the first in the list
@dusky epoch why is that?

dusky epoch
#

bc the span of what comes before the first element in your list is {0}

#

the span of an empty list is the zero subspace

gilded bobcat
#

dose the order really matter?

dusky epoch
#

as per the statement of the lemma

#

it does

#

with the way it is stated

#

order does matter

gilded bobcat
#

but the lemma says that j = 0(1)m

dusky epoch
#

no it doesn't

#

ok look

#

without symbols

#

the lemma says the following

#

IF you have a LD list of vectors
THEN there is a vector in that list satisfying the following:

  • it is in the span of what comes BEFORE it in the list
  • throwing it out of the list will not affect the list's span
#

do you understand this or not

gilded bobcat
#

yes, now I understand, I think, I've misinterpreted the 1st statement of the lemma

dusky epoch
#

so what i was gonna continue with

#

...unless the first vector in the list is 0, which u1 is not, by virtue of being part of the LI list of u's.

gilded bobcat
#

yes now I get it

#

thank you

#

makes perfect sense

thorn prairie
#

it asks if i can get the left column on any of the right ones?

#

for example doing 2r1 + r2 >> r2 , r1 + r3 >>>r3

#

and then -3/4r3 + r1 >>> r1

#

the left column of A gives 0 4 4 if im not mistaken

#

this is the solution?

#

By doing Ax = b and finding the solution (c) what does c represent?

thorn prairie
#

what does it mean when it asks me to find the span of a matrix?

dry spear
#

@dusky epoch sorry I went to bed

#

I really need help with this though, it's due tn

#

my equations are there too

sinful quiver
#

If you keep moving your basis vectors closer to each other until the orientation shifts and you keep moving it in that direction will the determinant ever become positive again? Will it only be positive up until the initial orientation is disturbed and never again or when it returns to the initial orientation it becomes positive again?

#

Like if you were to graph determinants based on that sort of movement of your basis vectors is it a wave or a curve that never changes direction

pale shell
#

Notation to show two equations are the same

#

???????

slow scroll
#

= ?????

south wadi
#

if there is infinite solutions than b is a linear combination of a1,a2,a3 right?

nimble egret
#

what do you mean?

south wadi
#

i solved the matrixc

nimble egret
#

ok

south wadi
#

and got 0 0 0 0

#

i would send u a pic but the wifi is total garbadge at this university and wont connect to my phone

#

@nimble egret

#

it laoded in

#

see i got all zeros on the bottom

nimble egret
#

which is a true statement

#

so yes

south wadi
#

ok so yea

sharp merlin
#

Does anyone know how to do this

nimble egret
#

what do you think the answer should be?

sharp merlin
#

nvm got it

novel sapphire
#

How is linalg compared to multi?

half ice
#

Lin alg is the easier class imo

novel sapphire
#

Thatโ€™s good

half ice
#

Also the more useful class

novel sapphire
#

Is it more theory or applications?

half ice
#

Take Lin alg if you haven't yet, which is advice for everybody

novel sapphire
#

Ok thanks

slow scroll
#

some LA courses focus more on theory, some focus more on applications

half ice
#

I'm guessing you're looking at applied classes? You'll see some theory, but mostly applications

dusky epoch
#

@dry spear welp, now i was asleep when you posted that

gray dust
#

dw spectex's hw has been dealt with vvHappy

dry spear
#

^

#

I have another q though

#

an integral

#

I'll post in one of the question channels

wintry steppe
#

is it because it says minimize not maximize?

dusky epoch
#

what's your definition of standard form

#

and what's your definition of canonical form

wintry steppe
#

is it because the last inequality is >= not <=?

sand zenith
#

Hello i have a very quick Question: Are the eigenvalues of a diagonal-matrix the values on the diagonal?

#

(i think yes)

jagged pendant
#

yes, the eigenvectors are standard basis vectors (0,...,0,1,0,...,0)

sand zenith
#

Thanks

#

i thought so ^^

dusky epoch
#

is it because it says minimize not maximize?
yes

#

is it because the last inequality is >= not <=?
no, the last inequality is a sign constraint

#

@wintry steppe

vast torrent
#

@spice storm

#

Are you familiar with the vector space axioms

spice storm
#

No

vast torrent
#

what class is this for then

#

calc 3?

spice storm
#

Vector analysis

vast torrent
#

do you know what a "vector" is

#

I ask becausew

#

they're usually defined as "objects satisfying the vector space axioms"

spice storm
#

Well we havenโ€™t covered anything that is related to axioms. When I took Intro to real Analysis my professor skipped that section

vast torrent
#

okay,. so what's a "vector"?

spice storm
#

Is an object that has both magnitude and direction.

vast torrent
#

okay, we'll go with that for now

#

that's part of the definiton but it's not enough

#

you also need, for example

#

the existence of a 0 vector with no magnitude such that for any vector v, v+0 = 0 + v = v

#

and you also need the existence of a negative vector -v for every v such that v + (-v) = (-v) + v = 0

#

follow?

#

without these two properties/axioms, the objects aren't vectors

spice storm
#

I mean I do but I would rather have someone tell me in person what it really means so I can ask questions or see it in person. Visual person

vast torrent
#

those are called tutors and they generally charge per hour

#

so you have these points in space

#

(x,y,z)

#

such as (-1, 1/2, 3)

#

and I'm considering them all as a group, called a vector space

#

I'm telling you that in addition to magnitude or direction you also need

#

a zero vector , with the above property

#

and a negative vector for each vector, such as the above property

#

your assignment is asking

#

for any arbitrary vector a = (a1,a2,a3)

#

the negative vector -a such that a + (-a) = 0

#

is the vector (-a1,-a2,-a3)

#

in other words

#

(a1,a2,a3) + (-a1,-a2,-a3) = 0

#

make sense or no?

#

so you just have to prove those vector add to 0

#

equivalently, you can prove that

#

-(a1,a2,a3) = -1(a1,a2,a3)

#

because if you prove that you can distribute the -1 inside the vector

#

you may find that easier or harder to prove than the first way

wintry steppe
#

I'm a bit confused by how many solutions this would be

dusky epoch
#

what do you think

wintry steppe
#

unique soluion

#

I tried to write down everything, but my answer for this question is wrong. And i'm not sure where i'm going wrong

dusky epoch
#

if you claim there is a unique solution here

#

then what would x_1 be

paper sparrow
#

good evening ,guys

#

i need help with some questions and i will be really grateful for anyone who will help me

sand zenith
#

For matrices is $Q := (Q_1 \cdot .... \cdot Q_n) * b = (Q_n \cdot (... \cdot (Q_1 \cdot b))$ or the other way round?, e.g. $Q_1 \cdot ...$

stoic pythonBOT
sand zenith
#

its really simple question but me really dumb

elder robin
#

I struggled with this one for a bit, but I think I got it now. I have to find the equation of the plane between two parallel lines. Can anyone check my work to see if it is right?

#

I think it make sense, but i'm not sure if my ways of checking are actually verifying anything

sharp merlin
#

Anyone know this

feral mountain
#

t

#

should be $\theta?$

stoic pythonBOT
boreal crescent
#

could someone explain what the notation on the left implies

#

i get that overall it means that F is a transformation which is being applied to a function g and is evaluated at a value x

#

and that C(inf) implies its differentiable infinitely many times

#

but what does [0,1] --> [0,1] imply

#

only for functions defined on the [0,1] domain or what

gray dust
#

infinitely d/dx-able on the interval [0,1]

boreal crescent
#

like interval in the sense

#

a restriction on the domain?

#

so the function and its image function will only be infinitely many times differentiable for x between [0,1]?

gray dust
#

all the elements in F's domain are functions that are for sure infinitely d/dx-able on [0,1]. outside that interval, no one can say what happens there

boreal crescent
#

ohh gotcha

#

so if that statement is false and i have to provide a counter example

#

i must choose a value for x from [0,1] to prove it to be incorrect

gray dust
#

what statement

boreal crescent
#

the whole question is i need to prove if F is a linear transformation, or provide a counter example if its not

#

i know its a LT, but just assuming it wasnt, i would need to take a value for x and y between 0 and 1 and show that values differ

gray dust
#

if you did that, you'd actually show that F somehow fails to work under its own definition, which i don't think will happen

#

i'm quite sure the hw wants you to focus on showing the linear part of the linear transform

#

oh if you're talking about showing F isn't linear by plugging specific x values into F(a+b) & F(a)+F(b) for some elements a,b in F's domain, then that'd work

boreal crescent
#

yea

#

thanks

gray dust
#

yw

ionic dust
#

Is there some form of failing the horizontal line test for planes?

dusky epoch
#

wdym

ionic dust
#

a one to one function

dusky epoch
#

can you be more precise about what exactly you're looking for

ionic dust
#

so

#

when we have more than one input map to the same output

#

in R2 you can see it on a graph failing the horizontal line test

#

so in R3 what would that look like geometrically?

dusky epoch
#

by "in R^2", do you mean "considering the graph of a function R -> R"?

#

if so, then what functions are you considering whose graphs lie in R^3?

#

R^2 -> R or R -> R^2?

ionic dust
#

I think I have to draw it out really

#

like f(x^2)

#

it fails the horizontal line test

dusky epoch
#

i don't think "f(x^2)" means what you think it means.

formal pond
#

I was thinking to add row 1 and 3 and put into row 3

#

to get rid of the -1

dusky epoch
#

that sounds like a good idea

formal pond
#

cool deal

dusky epoch
#

btw rref conversion steps aren't unique

#

like. you could convert the same matrix into rref in many different ways

formal pond
#

okay thanks for the heads up

wintry steppe
#

Can someone please help me with this?

gray dust
pliant harbor
#

@ionic dust You would see z=f(x,y) fail the horizontal plane test for some plane z=c.

#

What the hell is the "trains" method?

pliant harbor
#

$w_n = 4w_{n-2}+2w_{n-1}$ with $w_0=1.$

stoic pythonBOT
vast torrent
#

Googling trains method doesnt give anything

wintry steppe
#

Got it thanks!

#

I screwed up because I thought w0 = 0

stray minnow
wintry steppe
#

@pliant harbor , if you check it for w8, the equation doesn't work...

#

It works

stray minnow
#

ok so i think its absolutely wrong

stray minnow
#

anyone know how?

#

๐Ÿ˜ฆ

pliant harbor
#

@stray minnow You're claiming that the region that your constraints form is a rectangular prism. Check if this is really the case.

stray minnow
#

i did something different

#

but im going crazy after 4 hours trying to find stuff in my notes

pliant harbor
#

Maybe, but that's what your bounds for the integral imply.

stray minnow
#

that

#

idk what to do about z

pliant harbor
#

I see. So you're transforming by u, v, w = ...

stray minnow
#

but i have the jacobian thingamajig

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u=2y-z
v=-x+z
w=3x-y-z

pliant harbor
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The answer should be a multiple of your current answer, but that's not saying much.

stray minnow
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so that way the limits would stay the same

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but what do i do about the z?

pliant harbor
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Either you incorrectly computed the determinant, or you incorrectly integrated.

stray minnow
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is this new thing i've done even correct

pliant harbor
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Right. And you have to solve for z, which you didn't do.

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You integrated with the original dx Dy dz but the new bounds,

stray minnow
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yeah i realised that wasnt smart

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so i kept the boundaries and changed each inequality to just u,v and w

pliant harbor
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Which doesn't work. You need to integrate with respect to du dv dw and find z in terms of u, v, w.

stray minnow
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z=2y-u
z=x+v
z=3x-y-w

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but how do i get rid of the other crap

pliant harbor
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2y-z=u, v=-x+z, w=3x-y-z reduces to 1 equation for z because from A[x, y, z]=[u, v, w], you can invert the matrix A.

stray minnow
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I feel like I know what to do but my mind is blocking it today ๐Ÿ˜ข

slow oar
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does anyone know how to simplify 6sqrt44/44

pliant harbor
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You need to invert the matrix in your previous picture.

stray minnow
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why

pliant harbor
stray minnow
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ignore my previous picture

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just look at the newer one

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the previous one is a mess

pliant harbor
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The picture posted at 3:54 contains exactly a matrix A such that A[x, y, z]=[u, v, w]. Now how do you solve for [x, y, z]?

stray minnow
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what matrix

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i have the determinant of the jacobian?

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OHHHHHH

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OMGGGG

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is it

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erm

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x=Px'

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I use that

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to erm

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get the new value of z

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whew

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1 sec

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i think

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this?

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i got 25 lol

pliant harbor
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Yes. You should be correct unless you made an algebra mistake.

stray minnow
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omg

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you are a lifesaver ๐Ÿ˜„

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it had taken me way too long to do this lol

pliant harbor
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The problem is that you just tried to solve for z. You can't solve for z without getting x and y as well, and that requires a matrix approach.

stray minnow
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i would like to give a special shoutout to my university for not mentioning how to even do these questions ๐Ÿ˜„

pliant harbor
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I suppose once the professor reviews the problem next class (was this homework), you could ask him if the method was ever covered.

stray minnow
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this is for the exam ๐Ÿ˜‰

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next week

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๐Ÿ™ƒ

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we havent had this lecturer since mid november

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๐Ÿ˜„

pliant harbor
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Who's been lecturing since then? When do your semesters start and end?

stray minnow
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start end of sept, end week before christmas, thought technically these 3 weeks im currently in the middle of count as it, but are just exams

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our module is split into 2 6 week blocks

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2 different lectures

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the first block was awful

pliant harbor
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You made a mistake inverting the matrix. I just checked, and u+v+2wโ‰ 3z.

stray minnow
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...

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i cant have

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that is the matrix they give

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arggggh

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maybe i was meant to triple it

pliant harbor
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You wrote -3 0 3 for row 2 in the picture. Isn't it -1 0 1?

stray minnow
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no

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the inverse was already given in part I

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i kept it tripled

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OH WTF

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ARGGGGHG

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heads will roll for this

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mine

pliant harbor
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Alright. I see that all the problem parts are connected now. You should've realized that part I, ii is supposed to help you for iii.

stray minnow
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yeah

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i noticed that

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but

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-3 0 3 became -1 0 1?

pliant harbor
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I was just looking at your scratchwork. The inverse they gave works. But now you also have to divide by the volume of the original region to find the "average value."

stray minnow
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i was told that i didnt need to?

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because i changed the coordinates

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๐Ÿ™ƒ i dont know how to find the vol of the original region either

pliant harbor
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Let $V, V'$ be the volume of the old, new region respectively. You want to find $\frac{1}{V} \int_V z.$ But change of coordinates just let you calculate $\int_V z.$ Luckily, the Jacobian is $V/V'$ and $V'$ is easy to find.

stoic pythonBOT
stray minnow
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is the integral i calculated correct?

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i just need to divide it by the old volume though

pliant harbor
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Wait. This is evil. You really can't use part 1 unless the matrix there has a typo. We almost have 3P^-1[x,y,z]=[u,v,w], but again the 2nd row is -3 0 3 instead of -1 0 1.

stray minnow
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...

pliant harbor
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So either it doesn't have typo and you have to compute an inverse that was not given, or it has a typo and you're supposed to know that.

stray minnow
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ur joking

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there's a typo?

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I have spent 4 hours reading up trying to get this and my clapped ass university has typos in this

pliant harbor
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Do you see what 3P^-1 is in the picture of the problem and how it's almost the matrix that transforms [x,y,z] to [u,v,w]?

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You're lucky that the typo is not too far off. Change the 2nd constraint to 0โ‰ค-3x+3zโ‰ค6 and integrate with bounds 0 to 6 for v.

stray minnow
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are you sure?

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is there actually a typo

pliant harbor
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Well none of us have actually typed the matrices into a calculator online to see what the result should be. I could try that.

stray minnow
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what sort of calculator

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the inverse given is correct

pliant harbor
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Alright. The inverse of P is written correctly. I wouldn't call it a typo, but it sure seems like you have to jump through a lot of hoops to borrow the calculation of P^-1.

stray minnow
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yeah

pliant harbor
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Because you're not using P^-1 to solve for z, you're using P. But at the same time, you have to notice that using P wouldn't help unless you change the 2nd inequality to 0โ‰ค-3x+3zโ‰ค6 so that 3P^-1[x,y,z]=[u,v,w] is correct.

stray minnow
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so...what I did...was right?

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im getting so confused

pliant harbor
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Yes, but you should have v=-3x+3z and then integrate from 0 to 6.

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You can check that your current equation z=(u+2v+2w)/3 is false unless you change v like this.