#help-28

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stone mortar
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!15m !15m

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Please only use the <@&286206848099549185> ping once if your question has not been answered for 15 minutes. Please do not ping or DM individual users about your question.

stone mortar
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!chatgpt

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<@&286206848099549185>

spiral vigil
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what else is on that page

stone mortar
stone mortar
spiral vigil
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wow look an explanation of how to do the problem

stone mortar
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i dont understand how in the 6th line, LHS = RHS

spiral vigil
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it lets us convert the tilted surface integral to an integral on the ground (x and y)

stone mortar
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is that some theorem?

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if so why
therefore, the statement
and not
according to the theorem, the statement

elder birch
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info

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which part do you not understand?

stone mortar
spiral vigil
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you're projecting the vector n onto the k direction

elder birch
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do you understand up to here?

stone mortar
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n

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o

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can you please explain whats going on here

elder birch
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sure

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do you see how gradient of the plane is normal to the plane?

stone mortar
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yes

elder birch
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do you understand how surface integral with dot product (flux type integral) works?

stone mortar
elder birch
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do you remember the most general equation of a plane in 3D?

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$\vb n\vdot\vb r=0$

glossy valveBOT
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reverileo

elder birch
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actually let me ask this first

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given a plane with an equation
[ a(x-x_0)+b(y-y_0)+c(z-z_0)=0 ]
do you see why the vector $(a,b,c)$ is normal to the plane?

glossy valveBOT
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reverileo

stone mortar
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no

elder birch
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so are we clear with that?

stone mortar
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but still can you explain why is this so

elder birch
stone mortar
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yes

elder birch
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do you understand how it's derived?

stone mortar
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is an equation of a line in 3d

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i do for 2d,... so must be similar for 3d

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no

elder birch
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could you watch this video and come back

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it's really short

stone mortar
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yes sure

elder birch
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equation of plane is hard to explain without visualization

stone mortar
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hm

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done

elder birch
stone mortar
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yes

elder birch
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in fact, for this question, you don't even need gradient to find normal vector

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since the surface is already a plane

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do u still want me to explain why gradient is normal to the tangent plane or no?

stone mortar
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ahh

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yes

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no

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i see it now

elder birch
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u good?

stone mortar
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yup

elder birch
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alright so do u see how we can just take the coefficients of x, y, z of the equation of the plane

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and get the normal vector right away

stone mortar
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it will be left with A+B+C... which is perpendiculatr soo

stone mortar
elder birch
stone mortar
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up to here šŸ‘

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I dont understand the next step

elder birch
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because you want to scale down infinitesimal areas

stone mortar
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ahhhh.........

elder birch
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i'm trying to think how to explain this well

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do you see how dS would be different from dx dy?

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because the surface is sorta inclined

stone mortar
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yes

elder birch
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that's why you need a scaling factor

stone mortar
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hmm

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k.n

elder birch
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they skipped steps but do you see why $\dd S=\frac{1}{\cos\theta},\dd A=\frac{1}{\cos\theta}\dd{x}\dd{y}$?

glossy valveBOT
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reverileo

elder birch
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where $\theta$ is the angle between $\vu{k}$ and $\vu{n}$

glossy valveBOT
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reverileo

stone mortar
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yes

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its obvious

elder birch
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essentially you want to scale based on how slanted (or inclined) the surface is compared to the xy-plane

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do you see that?

stone mortar
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hmm ya

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so | k. n | is cos theta?

elder birch
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$\vu{k}\vdot\vu{n}=\norm{\vu{k}}\norm{\vu{n}}\cos\theta$

glossy valveBOT
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reverileo

elder birch
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right?

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but k and n are unit vectors

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so it's just $\cos\theta=\vu{k}\vdot\vu{n}$

glossy valveBOT
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reverileo

stone mortar
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ohhhhhhhhh yes

elder birch
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that's why you divide by k dot n

stone mortar
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now i see it

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nice

elder birch
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do you think you can proceed on your own?

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or do you need some help?

stone mortar
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yes I think I can proceed on my own

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thanks for the help

elder birch
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yeah np

stone mortar
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🄳 🄳🄳🄳

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@spiral vigil breadhehe

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stuck fiber
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stuck fiber
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Part (d)

honest hill
stuck fiber
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Been a while since you hit me with the otter

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I got some weird numbers

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First we want the y intercept

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so cos(2[0]) + sin(3[0] + pi/3)

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cos(0) + sin(pi/3)

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So 1 + sqrt(3)/2

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Which is already a weird number

honest hill
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why?

stuck fiber
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like im guessing im going to have to sub this back into sin or cos at some point

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And sin(1 + sqrt(3)/2) isnt going to work out nicely

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Same with cos

stuck fiber
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Oh

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Ok well

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We have the x coordinate now

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of A

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No?

honest hill
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y

stuck fiber
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Ah yeye

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So (0, 1 + sqrt(3)/2)

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We then want to get the slope of the tangent

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at this point

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So we get the derivative of cos(2x) + sin(3x + pi/3)

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Which is -2sin(2x) + 3cos(3x + pi/3)

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Then sub in x = 0

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-2sin(0) + 3cos(0 + pi/3)

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3(1/2)

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=3/2

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So thats the slope

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We now have the line y = 3x/2 + (1 + sqrt(3)/2)

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sub in y = 0

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0 = 3x/2 + (1 + sqrt(3)/2)

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3x/2 = -(1 + sqrt(3)/2)

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x = -2(1 + sqrt(3)/2)/3

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x = -2/3 - sqrt(3)/3

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Yep thats what they wanted!! šŸ˜„

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Thank you!

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ā¤ļø

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gleaming solstice
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help

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gleaming solstice
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Let $\mathcal{V}$ be the $\mathbb{R}$-vector space of all functions $f : \mathbb{N} \to \mathbb{R}^n$, where $\mathbb{N} = {1,2, \dots}$. Here the addition of functions $f,g \in \mathcal{V}$ is defined as $(f+g)(k) = f(k) + g(k)$ for all $k \in \mathbb{N}$, while scalar multiplication is defined as $(af)(k) = af(k)$ for $a \in \mathbb{R}$ and $f \in \mathcal{V}$. In this exercise we will consider the set

[
\mathcal{S} := { f \in \mathcal{V} \mid f(k+1) = T(f(k)) , \forall k \in \mathbb{N} },
]

where $T : \mathbb{R}^n \to \mathbb{R}^n$ is a linear operator.

\begin{itemize}
\item[(a)] Prove that $\mathcal{S}$ is a subspace of $\mathcal{V}$.
\item[(b)] Let $x \in \mathbb{R}^n$. Show that $f$, defined by $f(k) = T^{k-1}(x)$ for all $k \in \mathbb{N}$, is in $\mathcal{S}$.
\item[(c)] Find a basis for $\mathcal{S}$. Motivate your answer.
\end{itemize}

glossy valveBOT
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Emmaaaaa

gleaming solstice
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Here is the problem

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(a) $T$ is linear implies that $T$ preserves both homogeneity and additivity, since homogeneity preserves $\mathbf{0}$ element in its image showing ${0}\subset \mathcal{S}$, and since $T$ preserves the additivity and homogeneity, $\mathcal{S}$ preserves these property, hence $\mathcal{S}$ is a subspace of $\mathcal{V}$.

(b) $f(k)=T^{k-1}(x)$ which implies that $T(f(k-1))=T^{k-1}(x)$ this implies $T^k(x)=T[T(f(k-1))]=T[f(k)]=f(k+1)\in \mathcal{S}$

Conversely $x\in \mathbb{R}^n$ we have $x=T^{1-k}f(k)=T^{-k}f(k+1)=f(1)$ this implies $T^k(x)=T^k[f(1)]=f(k+1)\in\mathcal{S}$

But this we have demonstrated that for every $k\in \mathbb{N}_{\geq{1}}$ we have $f(k)\in \mathcal{{S}}$

(c):

Let $\beta_{i,j}=\bigg{f_{i,j}: f(k)=\begin{cases}
e_j,\ \ \text{if } k=i\
0, \ \ \text{if } k\neq i
\end{cases} \ \ \text{for } i,j\in \mathbb{N},\text{and }j\leq{n}\bigg}$ be a infinite dimensional basis for vector space $\mathcal{V}$ then for the subspace of $\mathcal{S}$ of $\mathcal{V}$ then basis of $\mathcal{S}$ can be represented by $\beta_{j}={f_{j}(k):T^{1-k}f(k)=e_j:j=1,2,3,...,n}$

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My answer

glossy valveBOT
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Emmaaaaa

gleaming solstice
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I know it’s a bit redundant but I am no good with linear algebra so I don’t know if converse is needed to be proven

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And I actually don’t know if I can just write answer for a just like that since it’s just a few sentence and bcs of T is linear verification isn’t that necessary I felt but I don’t know

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@leaden ermine help me this is very much more elementary compared to analysis

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I made a mistake T might not be invertible

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@leaden ermine do I have to show converse direction for B, I will use change of basis matrix then

leaden ermine
gleaming solstice
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Let $Tx = Ax$ where $A$ is the transformation matrix

Let $\beta$ be a nonstandard basis and a constant matrix $C=[\beta_1,…,\beta_n]$ and clearly $C$ is invertible such that $[x]_\beta=C^{-1}x$

Then $T[x]=AC^{-1}[x]beta$ this follows $[T[x]]\beta=CAC^{-1}[x]_\beta \in S$

glossy valveBOT
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Emmaaaaa

gleaming solstice
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So is [T^k[x]]_beta=CA^kC^{-1}[x]_beya

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This isn’t necessary right?

gleaming solstice
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Unfortunately

kindred grove
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of course it's nice for c) if you know explicitly what's in S

gleaming solstice
kindred grove
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that's where your converse could be useful

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this maneuver will cost us 51 years

gleaming solstice
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Yes I actually only manage to figure out the basis for S after figuring out what it means for (b)

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Is (a) okay

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I am thinking maybe it’s too brief

kindred grove
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like if you're just trying to convince yourself in your head sure

gleaming solstice
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the left is just homogenous and additive properties

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But it’s not a pain to do verification though

kindred grove
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it's really the 2 other that aren't super trivial to see

gleaming solstice
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Just to be certain, I will use standard method verifying it instead of this..

It’s not hard to just explicitly demonstrate the additive and homogeneous properties

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Is the basis correct

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I am a bit scared to ask since I didn’t feel like I am entirely sure

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The V should be infinite dimensional

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Which I eventually figured

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And then it’s just some basis in R^n

kindred grove
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well your c) seems pretty off yes

gleaming solstice
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I just don’t know if it’s right 😭

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But I feel like logically it kinda make sense

kindred grove
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well question b) is here to instill in you the idea that maybe every f in V is of the form f(k) = T^(k-1)(x) for some x (which you kinda remarked already)

gleaming solstice
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….

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I got I must fix it

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This isn’t as easy I thought

kindred grove
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just use induction

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for x you pick x=f(1)

gleaming solstice
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yes

kindred grove
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so if you can show that f(k) = T^(k-1)(f(1)) for all k, you win

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base case k=1 there's nothing to show

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then for the induction case, you use f(k+1) = T(f(k)) from the def of S

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mortal kraken
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I want to verify my answer on this assignment my answer is (A) and I did it by u sub of u=1-y/eps

mortal kraken
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Is the picture too blury

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plain sand
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plain sand
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could anyone tell me if my answer in red ink will get all 3 marks according to the MS

robust slate
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Missing this

plain sand
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what does SAS mean.

robust slate
plain sand
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so in words i should just say that SAS has been proven

robust slate
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Sure ig

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plain sand
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,close

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plain sand
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could anyone explain this to me

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stone mortar
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not exactly mathamatics but stillllllll

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elder birch
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i would say d

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it looks like cyclic permutation

stone mortar
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nice, thanks

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tall ridge
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can someone help me solve this question I was using the formula F = integral from a to b (density * length * depth) dy

tall ridge
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and to get the length I drew a line horizontal line inside the triangle

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and im trying to get the slope of it however I dont know what points to use

torn gust
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the points would be width zero 7 meters down and width 7 2 meters down

tall ridge
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@torn gust

torn gust
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uh people do it a bunch of different ways as long as the rest of the integral make sense yea do that

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upbeat terrace
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hi.. does anyone does do corepetitions?

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unique wagon
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maybe, do you have a particular question to ask about a competition?

placid oak
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!da2a

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No need to ask ā€œCan I ask…?ā€ or ā€œDoes anyone know about…?ā€ā€”it’s faster for everyone if you just ask your question! See https://dontasktoask.com/

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@upbeat terrace Has your question been resolved?

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vapid parcel
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Can someone confirm my answer for this?

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vapid parcel
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# vapid parcel

Please post images (such as PNGs or JPGs) of the question rather than other filetypes such as PDFs which have to be downloaded. Non-image downloads can potentially contain viruses or other security risks.

vapid parcel
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<@&286206848099549185>

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quaint rune
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help

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quaint rune
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is this an example of a graph with 2 different Eulerian cycles?

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  1. v1, v2, v3, v1, v5, v4, v1
  2. v1, v5, v4, v1, v2, v3, v1
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and that all vertices have even degrees

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lime valve
#

Find the gradient/point at which perfectly splits the area between the curve and line in the lower region and upper region in half
equation of curve = -2x^2 + 4x
Equation of line = y=mx (need to find m)

royal holly
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equate the areas using integration

lime valve
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I did

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But it didnt work

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I found the total area

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for the parabola

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which was 8/3

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meaning area 1 (above the line) = 4/3

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I found m = 0.8252

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but when I tried calculating the area unedr (lower region) I didn't get a value of 4/3

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<@&286206848099549185> please

fierce quartz
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Bruh

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We all sleeping

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Also I can’t help you

lime valve
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y not

spring glacier
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this should be 18b^2

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cuz 3b²/4 becomes 18b²/24 not 12b²/24

lime valve
spring glacier
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ohh i read it as a 3 mb

lime valve
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nah all good

spring glacier
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then thats not the mistake

lime valve
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does my process look correct

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in finding m?

spring glacier
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yeah the only part i havent checked is the 8/3 and the 4/3

lime valve
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Because I believe my gradient is right, but idk how to verify it but finding the area of the lower region

spring glacier
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the process for getting m seems all good tho

lime valve
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For the lower region of the area do I have to subtract functions from eachother

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like I did for the upper region?

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Or can I just do integration of mx from x=0 to x=a and then add integration of the curve from x=a to x=2?

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sorry if that doesnt make much sense

spring glacier
lime valve
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Oh

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Let me check if that gives me the same 4/3

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nova wraith
#

$\lim_{x \to 0} \frac{\left(\sqrt{1 + x}\right) - 1 - \frac{x}{2}}{x^2}$

glossy valveBOT
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waffle

nova wraith
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How would I solve this without l’HĆ“pital’s rule?

onyx glen
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expand (1+x)^(1/2) into a power series

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using the generalized binomial thm

nova wraith
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I don't know what's that

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I tried rationalizing but it's going too long

onyx glen
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$(1+x)^p = 1+px+\frac{p(p-1)}{2!}x^2 + \frac{p(p-1)(p-2)}{3!}x^3+\dots$

glossy valveBOT
nova wraith
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$(1+x)^{\frac{1}{2}} = 1+\frac{x}{2}-\frac{x^2}{8} + \frac{x^3}{16}+\dots$

glossy valveBOT
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waffle

nova wraith
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<@&268886789983436800> Advert

nova wraith
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Okay I get this

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The first two terms go to the left and when divided by x^2 it leaves -1/8 as x goes to 0.

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l'Hopital's rule is faster though

onyx glen
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eh

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lhop is going to be hellish if you have any sort of product or nasty power

nova wraith
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Is it not advisable to use it every time even when the limit is in indeterminate form?

onyx glen
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its difficulty becomes especially worse if you would have to apply it twice to most anything not nice

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if there's trig and roots you'll already drown

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so yes it's very inadvisable

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last resort

nova wraith
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I see

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.close

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stark nexus
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stark nexus
#

I’m a bit confused

#

What do i do now

gritty rose
#

power rule thumbsupanimegirl

#

u sub if you need to

stark nexus
#

But how

mighty ridge
#

u = x-3 could help you to see why you probably already know this integral

#

but it's not the only possible choice

stark nexus
#

Mb my brain just stopped working

stark nexus
mighty ridge
#

well assuming you didn't know any form of integral you could always try stuff like u = (x-3)² and bruteforce from there

#

wouldn't be very fun tho

stark nexus
#

Yeah I’ll stick to x-3=u

#

Ty

#

Just checking, 9 * u^-2

#

Where do i continue from here

#

Nvm

#

Ty

#

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white imp
#

Can anyone help with this? Would be better if method is drawn, thank you!!

austere cove
#

For the first one, it might be easiest to rewrite everything in terms of powers of 2.

#

For the second one, the question is asking about your understanding of how arcsin works.

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plucky yoke
#

i may be cooked iin gr11 functions

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austere cove
#

gr11led as it were?

#

What's your question?

plucky yoke
#

i need heelp with c

gritty rose
#

you can cancel two terms

plucky yoke
#

sorry how would i do that?

gritty rose
glossy valveBOT
#

riemann

gritty rose
#

and there's another one

plucky yoke
#

oh ok

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proper zenith
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proper zenith
#

Why is the answer for the lower limit of -0.618 different when I calculated it to the answer of -0.0758

#

I’ve calculated it over and over again

#

But I keep getting 0.233

#

So I’m not sure what is wrong

shrewd falcon
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# proper zenith

Please show the original problem, exactly as it was stated to you, with the entire original context. A picture or screenshot is best. If the original problem is not in English, then post it anyway! The additional context might still be helpful. Do your best to provide a translation.

proper zenith
#

Question g)

shrewd falcon
#

,w solve 2x-x^3=x-x^2

glossy valveBOT
shrewd falcon
#

yep

shrewd falcon
#

recalculate it

proper zenith
#

.close

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mossy nest
#

For a question like this, we are doing first derivatives test because there are multiple x-values correct?

We are searching for minimums because minimum = closest point and maximum = furthest point?

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@mossy nest Has your question been resolved?

tender nacelle
#

Logically if the distance function is decreasing before hitting a point and then increasing after, it should be a local min, which is what we confirm.

mossy nest
tender nacelle
#

Yeah

#

I mean here its obvious the points we found are minimums since maximums would be like x = inf but its good to check regardless

mossy nest
# tender nacelle Yeah

ahh alright thank you - another question haha sorry

would the first picture be the same as the second?

#

are the negatives relevant here?

tender nacelle
#

Looks like it. Just be consistent as you solve

mossy nest
#

ahh i understand

tender nacelle
#

If south and east mean (+) that's fine, just dont flip it mid solution

mossy nest
#

thank you

#

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wintry edge
#

I need help with my research question of How can the Lotka-Volterra equations model the population dynamics of Spotted Hyenas (Crocuta crocuta) and Plains Zebras (Equus quagga) in Kruger National Park, South Africa?
Im trying to understand Lotka-Volterra equations but its difficult and confusing for me...i dont know where exactly to start and what to do i have obtained all my data for using the equations and msking the graphs but i dont know exactly where and what equations to use (if that even makes sense šŸ’€)

austere cove
#

@wintry edge have you taken differential equations before?

#

About what is your level of math that you are confident with, if not?

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drifting summit
#

I'm trying to get better at proof writing, can someone critque it?

also i'm not sure if we need ot prove for when x = -2

visual smelt
#

.

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#

@drifting summit Has your question been resolved?

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#

@drifting summit Has your question been resolved?

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#

@drifting summit Has your question been resolved?

slender onyx
#

$f(I) \ne I$. compute it properly. then $f:I\to f(I)$ being injective (why?) lets us define $f\inv:f(I)\to I$

glossy valveBOT
#

ćƒ­ć‚±ćƒƒćƒˆć‚øćƒ£ćƒ³ćƒ—

slender onyx
#

$g(I) \ne I$ as well

glossy valveBOT
#

ćƒ­ć‚±ćƒƒćƒˆć‚øćƒ£ćƒ³ćƒ—

drifting summit
#

What does it mean when we take a function over an interval

slender onyx
#

we restrict the domain to a subset

drifting summit
#

Could I argue g(I) is a subset of I

drifting summit
#

In this case f(I) is equal to I

#

But I forgot that this isn’t just x^2 for g(I)

#

So it should actually be [1, inf) for g(I) which then is a subset of I

slender onyx
#

first what is f(I)?

drifting summit
#

oh that part I am wrong and I realize why

#

I’m just giving a random example like

#

If I = [0, inf) and f(x) = x^2 then is f(I) = I?

slender onyx
#

when arguing f'(2) exists i wouldnt worry about sets

drifting summit
#

Ah

#

I was just following the definition so kinda like stupid of me

slender onyx
#

just for this point i dont consider the domain restriction

drifting summit
#

im just using these formal definitions but ig theres not erally a point of doing this

slender onyx
#

i mean very formally yes u need to make sure f(I) is contained by J

#

btw g should be on J not I

drifting summit
#

My idea was just setting I = J

slender onyx
#

ok lets be formal then to be safe šŸ™‚

#

x^2+1 has domain R and image [1,infty)

#

its contained in the domain (0,infty) of 1/sqrtx

drifting summit
#

Yep

#

That part I get now :)

slender onyx
#

ok now im gonna need u to tell me f(I)

drifting summit
slender onyx
#

we started at f:R->R but its neither injective nor surjective

#

we make it injective by restricting the domain to I

#

surjective by restricting the codomain to the image J=(0,1]

#

thus $f:I\to J$ has inverse $f\inv:J\to I$

glossy valveBOT
#

ćƒ­ć‚±ćƒƒćƒˆć‚øćƒ£ćƒ³ćƒ—

drifting summit
#

ah

#

Ah

#

Ur right

#

J = f(I)

slender onyx
#

wait no im talking out of my ass

#

should be J=f(I) where f is injective on I

drifting summit
#

Wait so we let J be (0,1] and because we find y0 in J such that y0 = f(x0) we get the rest of the statement

slender onyx
#

yes

#

heres a slight rewording

#

we started at f:R->R but its neither injective nor surjective
we restrict the domain to a set I upon which f is injective
we restrict the codomain to J=f(I)=(0,1], making f surjective

#

then $f:I\to J$ is bijective so $f\inv:J\to I$ exists

glossy valveBOT
#

ćƒ­ć‚±ćƒƒćƒˆć‚øćƒ£ćƒ³ćƒ—

drifting summit
#

Yep that makes a lot of sense now

#

Not gonna lie tho, I’m not sure how necessary putting all of this is for a proof like this

#

I guess it’s not too difficult just gotta be careful

#

I realize a lot of the times I do proofs Idon’t know when I need to explain something

slender onyx
#

the domain restriction is very important since being noninjective is the main reason the inverse DNE

#

much less derivative of the inverse

#

oh we need I,J open in the inverse rule...

drifting summit
#

oh

slender onyx
#

take I=(0,infty) lol

#

J=f(I)=(0,1)

drifting summit
#

Are neighborhood considered open by definition btw

drifting summit
#

Also one more thing

#

Is it necessary to show the case x = -2

slender onyx
#

youll usually want to say open neighborhood to be safe

drifting summit
#

and have our domain restriction (-inf, 0)

slender onyx
#

i think its crazy to have to explore every choice of domain restriction, but ask ur prof

drifting summit
#

I guess it would be the same thing

slender onyx
#

no in general u get different f^-1 based on domain restriction

drifting summit
#

oh ok

#

yeah then I’ll ask her

slender onyx
#

for a simple example sqrtx is the inverse of x^2 restricted to [0,infty)

#

but if we restrict to (-infty,0] the inverse is -sqrtx

drifting summit
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@drifting summit Has your question been resolved?

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robust oracle
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robust oracle
#

anyone just tell me the process

twin wolf
robust oracle
#

yeah gng

twin wolf
#

nice nice

robust oracle
#

just remind me what i need to do

twin wolf
#

i recognised the font

#

well have you done the other parts

robust oracle
#

yeah thats what thsc does

#

yeah

#

did i need a table for part ii

twin wolf
#

i think u could do that if u wanted to

robust oracle
#

yeah easy so for part 3 i integrate?

twin wolf
#

yeah integrate f' to get f

robust oracle
#

the nsub those lot in

twin wolf
#

yre

robust oracle
#

oh shit i thought of it too much

#

like we sub in just to find c

#

then we rearrange

#

damn

twin wolf
#

ys

#

r u 3u?

robust oracle
#

man im deeping too much

#

yeah

twin wolf
#

rip on statistics

#

stat 2u suck

robust oracle
#

nah stat should be calm im more concerned ab vectors

twin wolf
#

vector 3u should be not too bad

#

vector 4u is a lot worse

#

but a lot of 4u kids do 4u to escape 2u stats opencry

robust oracle
robust oracle
twin wolf
#

2u hsc gonna be easy this year no sweat

robust oracle
#

for 3u anyway

twin wolf
#

for 2u

#

it goes easy hard easy hard

#

i was cohort 2024

#

and we got shit on with that 2u exam

robust oracle
#

oh tough

twin wolf
#

it was so cooked

robust oracle
twin wolf
#

but that means u guys have an easy year or at least an easier time than last year bcz 2024 2u was def the hardest out of the rest

#

at least for old syllabus u guys are still doing it i think

robust oracle
#

yeah we are i think that all changes like 27

#

what school if you dont mind

twin wolf
#

o i graduated

robust oracle
#

yeah which one

twin wolf
#

im not gonna say which one but its public and cracked at adv eng

robust oracle
#

fair

#

selective?

twin wolf
#

mayhaps catgiggle

#

and u?

robust oracle
robust oracle
twin wolf
#

ah

twin wolf
robust oracle
#

ay long question and all

#

but i js want to know

#

howd you balance it all

#

im doing 11 units

#

n i just need to manage time better

twin wolf
#

good question

robust oracle
#

i need like one more word of affirmation bc ive heard the same response everywhere

twin wolf
#

this doesnt work for everyone but i spent less time on the subjects i knew i was good at and more time on subjects i wasnt so proficient in, not saying you should neglect your good subjects but spending equal time on all ur units isnt alwaays goonna work especially if theres massive imbalances in ur marks

#

also just know

#

1 bad assessment wont stop u from getting b6

#

as long as u do good on the rest

#

nesa is quite lenient actually

#

i messed up really bad for 1 of my internals worth like 20% but i still managed to b6

robust oracle
twin wolf
#

but you cant really control that

robust oracle
#

and I'm actually going the long way relearning everything and a bit more

twin wolf
#

what subjects do u do?

robust oracle
#

it's not taking too much time

twin wolf
#

if u ccan u will be in a good spot

#

trials is what separates most people

robust oracle
robust oracle
twin wolf
#

music tuff

robust oracle
#

wbu

twin wolf
#

i did 2u eng 2u maths ancient his, physics, legal studies i used to do chem but i dropped

robust oracle
#

damn fair

#

if its calm what atar?

twin wolf
# robust oracle but I just want the most ideal routine for that outcome

well i wish i could say there was a manual guide on how to get top ranks for each subject but its kinda different for everything; for physics i rlly sucked at the long response and mcq so i just grinded that and for eng adv it was chill just keep submitting ur essays to ur teachers till its perfect then u can use that scaffold for the hsc

twin wolf
robust oracle
#

nah that's tough

twin wolf
#

btw u can get 90> atar with 0 b6s lmao

robust oracle
twin wolf
#

by friend did it

#

my*

#

if u get high band 5s for everything u can get 90+

robust oracle
#

yeah my mate got 94 doing fair scaling subjects

twin wolf
#

discursive is marked better than imaginative

#

persuasive is eh i know some people got b6 doing persuasive but its a bit dodgey cuz u dont really do persuasive in year 11-12

robust oracle
#

ight i see it now

twin wolf
#

discursive can also be turned into an imaginative pretty easily

robust oracle
twin wolf
#

so if you write discursive ur really preparing for 2/3 possibilties for mod C

#

and biggest tip i can give u is

#

trust yourself, u might not think u can write 14 pages or so in english but when the time comes your body will just write without thinking

robust oracle
#

wait is that all accumulatory

#

like across 3 questions

twin wolf
#

yeah mod a + b + c

#

even more actually idk remember how much i wrote

#

but i wrote at least 8 pages for mod b and c

robust oracle
#

yeah that's fair

twin wolf
#

so more like 20 something ish

#

20+

robust oracle
#

i think i js need to work on fluidity and that's it

twin wolf
#

also physics rlly grind them mcq

#

i hated mcq for physics

#

dont study last minute tho 🤣

robust oracle
#

alrighty

#

did NOT know what mcq meant but it's calm

twin wolf
#

multiple choice q

robust oracle
#

well actually all y11

robust oracle
twin wolf
#

i had like maybe 3 hours in total of studying for my ancient history hsc and i was cramming for the night before my ancient exam

#

not my proudest moment but then i ended up getting 92 external for it

#

lmfaooooooo

robust oracle
#

woah wtf

twin wolf
#

ya my reaction

robust oracle
#

man i feel like its an aquired thing though you js need intuition

#

yeah another thing though

#

wait one second

#

yeah i js wanted to ask like did you go on social media often or nah

#

did it ever interfere

twin wolf
#

to be honest

#

when ur in ur hsc period with all the exams going on

robust oracle
#

actually coudl we go dms i js want to ask a few more

twin wolf
#

u dont think about that stuff

#

sure sure

robust oracle
#

cheers brody

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hallow walrus
#

If I know $C$ is an $n\times n$ matrix which satisfies $$(C-I)(C-\frac1{4}I)=0$$ does that mean $1$ and $\frac1{4}$ are the only eigenvalues of $C$?

hallow walrus
#

does anything change if C is invertible?

glossy valveBOT
onyx glen
glossy valveBOT
#

kheerii

onyx glen
#

so no

onyx glen
#

yes

#

you can rearrange it to get a quadratic polynomial equation in C

#

C^2 - (5/4)C + (1/4)I = 0

#

4C^2 - 5C = -I

hallow walrus
#

ah right

#

so does that mean C has only 1 and 1/4 as eigenvalues?

fast peak
#

C could also only have one of those as eigenvalue

hallow walrus
#

right

#

true

onyx glen
#

try taking an eigenvector v and running it thru (C-I)(C-I/4)

#

with arbitrary ev Ī»

hallow walrus
#

if C has only 1 as an eigenvalue that means the eigenspace of 1 is the whole space?

hallow walrus
#

ok

#

nice

hallow walrus
#

does that mean the sum of the two eigenspaces is the whole space?

#

i.e. $\ker(C-I)\oplus\ker(C-I/4)=\bR^n$

glossy valveBOT
#

kheerii

fast peak
#

take a vector v and write it as a sum v=v1+v2+v3 where v1,v2 are from the eigenspaces and v3 is from the rest

hallow walrus
#

so Cv=v1+v2/4+Cv3

#

hmm

#

oh wait I see what you mean

#

(C-I)(C-I/4)v = (C-I)(C-I/4)v3 = 0

#

which means it has to be from one of those eigenspaces

hallow walrus
fast peak
#

honestly I forgot how that one is proved. but maybe

hallow walrus
sharp flame
#

Hayley-Camilton theorem

hallow walrus
#

have you started doing linalg yet

sharp flame
#

A vector space is a set and two associated operations; the elements of which obey 10 axioms šŸ”„

#

They're like the 10 commandments but they make less sense

#

Oh fuck I thought this was the lounge lmfao

hallow walrus
#

nah they make sense though

kindred parcel
#

lol i believe wikipedia's most concise definition is "a vector space is a module over a field"

hallow walrus
#

.close

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regal forge
full forumBOT
regal forge
#

not sure how to do this

#

my idea is that we suppose P(x) is a polynomial such that there is no roots

#

so the minimum has to be in the region in the boundary of D.

#

from the minimum modulus theorem

#

but not sure how to proceed there.

full forumBOT
#

@regal forge Has your question been resolved?

regal forge
#

<@&286206848099549185>

regal forge
#

<@&286206848099549185>

regal forge
#

<@&286206848099549185>

#

@fleet drum Could i get some help pls

quaint prawn
#

here are some hints

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@regal forge Has your question been resolved?

regal forge
#

@quaint prawn im sorry, i'm confused

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alpine hull
#

How do I solve for d?

full forumBOT
round gust
#

well

#

the direction changes when the sign of the velocity changes

#

if velocity > 0 then it's going right

#

if its <0 its going left

upper valley
#

$\frac{dx}{dt} = V(t)$

glossy valveBOT
#

SELVATOR

round gust
#

so you need to find the point where the velocity changes signs

upper valley
#

$\frac{dv}{dt} = a$

glossy valveBOT
#

SELVATOR

upper valley
#

Maybe it changes direction on V = 0

#

U need to solve delta

#

And chose the positive result

#

Negative result is unacceptable

round gust
#

there won't be any negative answer

upper valley
#

6t - 36 = 0
t = 36/6
t = 6

#

We have $6t^2 - 36t$ $\to$ $ t(6t - 36) = 0$

glossy valveBOT
#

SELVATOR

upper valley
#

$t = 0$ unacceptable and $6t - 36 = 0$

glossy valveBOT
#

SELVATOR

upper valley
#

@alpine hull

alpine hull
#

I just plugged in the numbers that were on the sign chart I drew

round gust
#

yes it's correct

upper valley
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Yes, but i doubt 0

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Because it is the point of movement

round gust
#

yeah i guess you can disregard t=0

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and assume that the particle starts moving at t=0 to the left

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and only changes direction at t=6 to the right

alpine hull
#

from my understanding it’s moving from -1 -> 0 positively then at 0 it goes to rest then changes direction from the intervals 0 -> 6 and goes negatively

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or are y’all saying -1 doesn’t matter it starts at 0 bc thats when its at rest and it’s pointing down while going to 6 and when we go to 6 it’s pointing up

round gust
#

yeah but because this is physics usually time starts at 0

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so you would only consider the functions for t>=0

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cuz negative time isnt really a thing

alpine hull
#

so is drawing that little line helpful or should i not

alpine hull
round gust
#

it's correct and helps you visualise the problem

round gust
#

if this were a purely theorerical question

round gust
#

it would be correct

upper valley
#

We don't know if t = -1s exist

round gust
#

but because they've based the problem on a real life scenario, you have to start the time at t=0

alpine hull
#

okay i guess that makes sense so i don’t to plug in and check for numbers lower than 0?

round gust
#

yeah

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you can view t=0 as the moment when the movement of the particle starts

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clearly you cant talk about t<0 since there was no movement

alpine hull
#

and its as simple as from 0-6 arrow is pointing down and after 6 its pointing up so thats the change in direction

round gust
#

yeah

alpine hull
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alright thanks šŸ™šŸ»

round gust
#

you're welcome

alpine hull
#

also when they ask this question i plug it into velocity equation?

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jus to make sure

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@round gust

round gust
#

as we said, the direction changes when the sign of the velocity changes

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so you plug in t= whatever and see if v is positive or negative

alpine hull
#

will it ever be for acceleration?

round gust
#

a=0 could mean that the object is moving at a constant speed

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or it could mean that the object is standing still

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or it could mean a point where the acceleration changes from positive to negative, which would indicate a maximum/minimum of velocity

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so if the question were: find the maximum/minimum velocity of the particle

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you would set a(t)=0

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and then whatever t you get, you plug it into v(t) to get the maximum/minimum velocity

alpine hull
#

Is this valid?

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for when the particle changes direction

upper valley
#

I think so

round gust
#

so when does it change direction

alpine hull
#

at 1?

round gust
#

at 1 and 3 or what

alpine hull
#

1 and 3 yes

upper valley
#

V(1) = 0, V(3) = 0

round gust
#

yeah

upper valley
#

You can calculate delta if you want.

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And check

round gust
#

i guess...

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but there's no need

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you forgot a t there

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it should be -4t

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but the factoring is correct

alpine hull
#

whoops

upper valley
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$x_1 = \frac{4 - 2}{2}$

glossy valveBOT
#

SELVATOR

upper valley
#

$x_2 = \frac{4 + 2}{2}$

glossy valveBOT
#

SELVATOR

upper valley
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$x_1 = 1$ and $x_2 = 3$

glossy valveBOT
#

SELVATOR

upper valley
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Ok good

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Any other questions?

alpine hull
#

not right now thanks idk how to close this

round gust
#

.close

alpine hull
#

.close

full forumBOT
#
Channel closed

Closed by @alpine hull

Use .reopen if this was a mistake.

full forumBOT
#
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weak pelican
full forumBOT
torpid perch
#

do you know how to do it or no

#

recall the eigenvectors equations

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A . x = Ī» . x
(A - λI) . x = 0

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so find the nullspace for (A-λI)

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but first plug Ī» = 1

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then do the same for Ī» = 5

final roost
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find the eigenvectors of each eigenvalue->create a 2x2 matrix where each column is an eigenvector->answer

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is this correct? (asking for myself. im studying this irl as well)

regal forge
weak pelican
torpid perch
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is so you find all the possible vectors x that satisfy (A - λI) . x = 0

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you get a span

torpid perch
weak pelican
#

Idk how to do it

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My teacher wants us to use RREF to solve

torpid perch
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yes

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lets go step by step

weak pelican
#

So 5-1 and 1-1

torpid perch
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plug A - λI to λ = 1

weak pelican
#

Yes

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So 5-1 and 1-1

torpid perch
#

yes the diagonal elements are only affected

weak pelican
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So the final matrix is just 1

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In top left corner

torpid perch
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,, A - I = \begin{pmatrix} 4 & 0 \ 2 & 0 \end{pmatrix}

weak pelican
#

Yes then reduce it to only having 1 in top left corner

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Ok so you have free variable x = 2

glossy valveBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

weak pelican
#

Just reduce whole thing

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10
00

torpid perch
#

sure

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but you are skipping some steps

weak pelican
#

Null space is
0
1

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You got the right answer

torpid perch
#

,w nullspace {{4,0},{2,0}}

glossy valveBOT
torpid perch
#

nullspace is

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<(0,1)>

weak pelican
#

Are all Eigen vectors finding null spaces ?

final roost
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is null space the same as the eigenvector?

weak pelican
#

My tutor at school was telling me that too

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Like (A-I)v = 0

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He said v is the null space

torpid perch
weak pelican
#

Hmm

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Thanks for your help

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I’ll be on a little bit later to finish the assignment

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If you’re here.. I’ll ping you

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Unless you want me to show you another one right now?

torpid perch
#

if you want

weak pelican
#

If you want to find out the eigen value Is part of the matrix and you plug it in and get the identity matrix that means it is not part of it correct?

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Like you do (A-lambda(I))v and do RREF

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And get identity matrix

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Meaning it is not part of the matrix

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?

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Let me know if that makes sense

torpid perch
#

I think that would mean that lambda is not an eigenvalue

weak pelican
#

Ok great

torpid perch
#

and thus, the nullspace is trivial , only the zero vector

weak pelican
#

What do you mean by only the zero vector

torpid perch
#

,w eigenvalues {{5,0},{2,1}}

glossy valveBOT
weak pelican
#

That is not part of the null space

torpid perch
#

take for example a lambda that is not 1 nor 5

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solve for v, in : (A-λI).v = 0

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you will get that the nullspace is trivial (only zero vector inside)

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and if you row reduce the matrix you get a matrix with full rank, as you said you get identity matrix

weak pelican
#

Oh true

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So if the nullity is 0 then there is still a zero vector lol

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Yeah we have some basic questions in this but I’m trying to figure out how to do the different versions of them

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Like when you have the eigen value and find a vector

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Or find if the vector is eigen vector

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And also find if the eigen Value is part of the matrix

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@torpid perch so we are basically trying to find these three things I belive

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It seems all we have learned so far was RREF

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And spaces

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And it has been 3 months

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Basis for spaces

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Expanding the dimension

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Finding if a vector is part of the matrix by augmenting the matrix

torpid perch
#

lmao too many questions

weak pelican
#

Sorry mein

torpid perch
#

is better if you close this and open another one for another question

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you also give the opportunity of other people to help u

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you can always ping me if no one replies

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but I need to go eat something

weak pelican
#

I’m waiting for my school cafeteria to start serving dinner

#

I’ll ttyl

#

.close

full forumBOT
#
Channel closed

Closed by @weak pelican

Use .reopen if this was a mistake.

full forumBOT
#
Available help channel!

Send your question here to claim the channel.

Remember:
• Ask your math question in a clear, concise manner.
• Show your work, and if possible, explain where you are stuck.
• After 15 minutes, feel free to ping <@&286206848099549185>.
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weak pelican
full forumBOT
weak pelican
#

i applied the eigen value to (A-3I)

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then did RREF

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and got the identity matrix

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ok so it is no then

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it is not an eigenvalue

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ok lmc

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?

fast peak
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check your work

weak pelican
#

ok

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1-3 = -2 , -2-3 = -5, 1-3 = -2

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yes that is correct i checked the reduction with a calculator

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ok

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i was confuseed bc my professor in calss used an example of a 3x3 matrix with a left triangle of 0's

fast peak
#

check again

weak pelican
#

?

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ooh

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oops idk how that happene

weak pelican
#

in my reduction

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i did RREF wrong though

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yes

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it is a vector in the matrix

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when you use an eigen value

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it is a null space of that matrix

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what

weak pelican
#

ok

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i disagree

fast peak
fast peak
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what does "using an eigenvalue" mean

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an eigenvector is a nonzero vector v so that Av=lambda v for some number lambda

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thats the definition you should remember

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for one its a bit circular cause lambda being an eigenvalue is defined by having an eigenvector

weak pelican
fast peak
weak pelican
#

ok

fast peak
#

also really the point of eigenvectors is that matrix*vector is the same as number* vector

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we could, sure

weak pelican
#

so there are like 3 things to solve from it?

fast peak
#

there are obvious issues with the fact that it doesnt generalize to infinite dim but we'll ignore those

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the question is, why would we care about randomly det(A-lambda I)=0

weak pelican
#

find if the eigen value is part of the matrix

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find if the vector is an eigenvector

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like you can reverse these things

fast peak
#

in functional analysis you encounter lots of infinite dim spaces

weak pelican
#

oh you were right my bad the eigenspace is the null space

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when you apply the eigen value

fast peak
#

please stop saying "applying the eigenvalue"

weak pelican
#

lol what do you call it then

fast peak
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I dont even know what you mean

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do you mean subtracting lambda I ?

weak pelican
#

like you do (A-lamdaI)

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yea

fast peak
#

call it subtracting lambda I for all I care. but really the fact that you need the phrase in the first place is worrying

weak pelican
#

well how do you describe what you're fdoig then

#

subtracting lambda

fast peak
#

computing the eigenspace

weak pelican
#

oh

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so it's a sequence

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subtract lambda, RREF, find null space = computing eigenspace

fast peak
#

yes

weak pelican
#

cool

fast peak
#

not every step always needs to have a name

weak pelican
#

thats true