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what else is on that page

wow look an explanation of how to do the problem
i dont understand how in the 6th line, LHS = RHS
it lets us convert the tilted surface integral to an integral on the ground (x and y)
is that some theorem?
if so why
therefore, the statement
and not
according to the theorem, the statement
how did the above 5 steps implied step 6
you're projecting the vector n onto the k direction
do you understand up to here?
yes
do you understand how surface integral with dot product (flux type integral) works?
actually i also have a confusion at this, cuz differentiating a line gives tangent but for a surface, its normal
reverileo
actually let me ask this first
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?
reverileo
no
but still can you explain why is this so
.
yes
do you understand how it's derived?
In this video I go over the equation of a plane and derive it by using the Dot Product. A plane is a flat set of points in 3D. If we draw a vector parallel to it and another vector perpendicular (or normal) to the plane, then the resulting dot product of these 2 vectors must equal 0. This can then be used to derive the equation of a plane. I wri...
could you watch this video and come back
it's really short
yes sure
equation of plane is hard to explain without visualization
now do you see this?
yes
in fact, for this question, you don't even need gradient to find normal vector
since the surface is already a plane
do u still want me to explain why gradient is normal to the tangent plane or no?
u good?
yup
alright so do u see how we can just take the coefficients of x, y, z of the equation of the plane
and get the normal vector right away
it will be left with A+B+C... which is perpendiculatr soo
yes
now you understand up to these steps, right?
because you want to scale down infinitesimal areas
ahhhh.........
i'm trying to think how to explain this well
do you see how dS would be different from dx dy?
because the surface is sorta inclined
yes
that's why you need a scaling factor
they skipped steps but do you see why $\dd S=\frac{1}{\cos\theta},\dd A=\frac{1}{\cos\theta}\dd{x}\dd{y}$?
reverileo
where $\theta$ is the angle between $\vu{k}$ and $\vu{n}$
reverileo
essentially you want to scale based on how slanted (or inclined) the surface is compared to the xy-plane
do you see that?
$\vu{k}\vdot\vu{n}=\norm{\vu{k}}\norm{\vu{n}}\cos\theta$
reverileo
reverileo
ohhhhhhhhh yes
that's why you divide by k dot n
yeah np
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Part (d)
Been a while since you hit me with the otter
I got some weird numbers
First we want the y intercept
so cos(2[0]) + sin(3[0] + pi/3)
cos(0) + sin(pi/3)
So 1 + sqrt(3)/2
Which is already a weird number
why?
like im guessing im going to have to sub this back into sin or cos at some point
And sin(1 + sqrt(3)/2) isnt going to work out nicely
Same with cos
no?
y
Ah yeye
So (0, 1 + sqrt(3)/2)
We then want to get the slope of the tangent
at this point
So we get the derivative of cos(2x) + sin(3x + pi/3)
Which is -2sin(2x) + 3cos(3x + pi/3)
Then sub in x = 0
-2sin(0) + 3cos(0 + pi/3)
3(1/2)
=3/2
So thats the slope
We now have the line y = 3x/2 + (1 + sqrt(3)/2)
sub in y = 0
0 = 3x/2 + (1 + sqrt(3)/2)
3x/2 = -(1 + sqrt(3)/2)
x = -2(1 + sqrt(3)/2)/3
x = -2/3 - sqrt(3)/3
Yep thats what they wanted!! š
Thank you!
ā¤ļø
.close
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help
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}
Emmaaaaa
Here is the problem
(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 $\beta_{j}={f_{j}(k):T^{1-k}f(k)=e_j:j=1,2,3,...,n}$
My answer
Emmaaaaa
I know itās a bit redundant but I am no good with linear algebra so I donāt know if converse is needed to be proven
And I actually donāt know if I can just write answer for a just like that since itās just a few sentence and bcs of T is linear verification isnāt that necessary I felt but I donāt know
@leaden ermine help me this is very much more elementary compared to analysis
I made a mistake T might not be invertible
@leaden ermine do I have to show converse direction for B, I will use change of basis matrix then
you are probably 99 % right (no guarantees)
Let $Tx = Ax$ where $A$ is the transformation matrix
Let $\beta$ be a nonstandard basis and a constant matrix $C=[\beta_1,ā¦,\beta_n]$ and clearly $C$ is invertible such that $[x]_\beta=C^{-1}x$
Then $T[x]=AC^{-1}[x]beta$ this follows $[T[x]]\beta=CAC^{-1}[x]_\beta \in S$
Emmaaaaa
I actually feel these day out of 10 problem I try rarely I got one right though
Unfortunately
no you don't have to, not for b) at least
of course it's nice for c) if you know explicitly what's in S
This simple question cost me a day
Yes I actually only manage to figure out the basis for S after figuring out what it means for (b)
Is (a) okay
I am thinking maybe itās too brief
also my thinking
like if you're just trying to convince yourself in your head sure
The point is, whether this argument is considered rigorous. T due to homogeneity does preserve (0)
the left is just homogenous and additive properties
But itās not a pain to do verification though
sounds alright to me
it's really the 2 other that aren't super trivial to see
Just to be certain, I will use standard method verifying it instead of this..
Itās not hard to just explicitly demonstrate the additive and homogeneous properties
Is the basis correct
I am a bit scared to ask since I didnāt feel like I am entirely sure
The V should be infinite dimensional
Which I eventually figured
And then itās just some basis in R^n
well your c) seems pretty off yes
I just donāt know if itās right š
But I feel like logically it kinda make sense
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)
yes
so if you can show that f(k) = T^(k-1)(f(1)) for all k, you win
base case k=1 there's nothing to show
then for the induction case, you use f(k+1) = T(f(k)) from the def of S
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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
Is the picture too blury
@mortal kraken Has your question been resolved?
@mortal kraken Has your question been resolved?
Yes itās A
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could anyone tell me if my answer in red ink will get all 3 marks according to the MS
what does SAS mean.
so in words i should just say that SAS has been proven
Sure ig
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not exactly mathamatics but stillllllll
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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
and to get the length I drew a line horizontal line inside the triangle
and im trying to get the slope of it however I dont know what points to use
the points would be width zero 7 meters down and width 7 2 meters down
and then my depth would be 7-y?
@torn gust
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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hi.. does anyone does do corepetitions?
maybe, do you have a particular question to ask about a competition?
!da2a
No need to ask āCan I askā¦?ā or āDoes anyone know aboutā¦?āāitās faster for everyone if you just ask your question! See https://dontasktoask.com/
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Can someone confirm my answer for this?
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.
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help
is this an example of a graph with 2 different Eulerian cycles?
- v1, v2, v3, v1, v5, v4, v1
- v1, v5, v4, v1, v2, v3, v1
and that all vertices have even degrees
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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)
equate the areas using integration
I did
But it didnt work
I found the total area
for the parabola
which was 8/3
meaning area 1 (above the line) = 4/3
I found m = 0.8252
but when I tried calculating the area unedr (lower region) I didn't get a value of 4/3
<@&286206848099549185> please
y not
it's a 2b^2 / 4
ohh i read it as a 3 mb
nah all good
then thats not the mistake
yeah the only part i havent checked is the 8/3 and the 4/3
Because I believe my gradient is right, but idk how to verify it but finding the area of the lower region
the process for getting m seems all good tho
For the lower region of the area do I have to subtract functions from eachother
like I did for the upper region?
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?
sorry if that doesnt make much sense
pretty sure you could do that yeah
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$\lim_{x \to 0} \frac{\left(\sqrt{1 + x}\right) - 1 - \frac{x}{2}}{x^2}$
waffle
How would I solve this without lāHĆ“pitalās rule?
$(1+x)^p = 1+px+\frac{p(p-1)}{2!}x^2 + \frac{p(p-1)(p-2)}{3!}x^3+\dots$
Ann
$(1+x)^{\frac{1}{2}} = 1+\frac{x}{2}-\frac{x^2}{8} + \frac{x^3}{16}+\dots$
waffle
<@&268886789983436800> Advert
yes
Okay I get this
The first two terms go to the left and when divided by x^2 it leaves -1/8 as x goes to 0.
l'Hopital's rule is faster though
Is it not advisable to use it every time even when the limit is in indeterminate form?
its difficulty becomes especially worse if you would have to apply it twice to most anything not nice
if there's trig and roots you'll already drown
so yes it's very inadvisable
last resort
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Hello
But how
u = x-3 could help you to see why you probably already know this integral
but it's not the only possible choice
Ohh
Mb my brain just stopped working
Whatās the other
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
Yeah Iāll stick to x-3=u
Ty
Just checking, 9 * u^-2
Where do i continue from here
Nvm
Ty
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Can anyone help with this? Would be better if method is drawn, thank you!!
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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i may be cooked iin gr11 functions
you can cancel two terms
sorry how would i do that?
$\frac{z-2}{z-2} = 1$
riemann
and there's another one
oh ok
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Why is the answer for the lower limit of -0.618 different when I calculated it to the answer of -0.0758
Iāve calculated it over and over again
But I keep getting 0.233
So Iām not sure what is wrong
!xy
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.
Question g)
,w solve 2x-x^3=x-x^2
yep
safe to say you're wrong
recalculate it
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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?
@mossy nest Has your question been resolved?
Kinda. This is an optimization problem. You made a function for the distance (that thing with d = sqrt(something)) and set its derivative equal to zero. The multiple x values you got for this represent local minimum or maximum distances. You do the first derivative to check if these are local minima.
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.
So therefore minimums are closest? and maximums would be furthest?
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
ahh alright thank you - another question haha sorry
would the first picture be the same as the second?
are the negatives relevant here?
Looks like it. Just be consistent as you solve
ahh i understand
If south and east mean (+) that's fine, just dont flip it mid solution
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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 š)
@wintry edge have you taken differential equations before?
About what is your level of math that you are confident with, if not?
@wintry edge Has your question been resolved?
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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
.
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@drifting summit Has your question been resolved?
the final line is right but some intermediate steps are off
$f(I) \ne I$. compute it properly. then $f:I\to f(I)$ being injective (why?) lets us define $f\inv:f(I)\to I$
ćć±ćććøć£ć³ć
$g(I) \ne I$ as well
ćć±ćććøć£ć³ć
I think I have a pretty bad understanding of this then
What does it mean when we take a function over an interval
we restrict the domain to a subset
Could I argue g(I) is a subset of I
Hm so like hypothetically we have a domain 0 to infinity, and we want to compute f(x) = x^2
In this case f(I) is equal to I
But I forgot that this isnāt just x^2 for g(I)
So it should actually be [1, inf) for g(I) which then is a subset of I
first what is f(I)?
oh that part I am wrong and I realize why
Iām just giving a random example like
If I = [0, inf) and f(x) = x^2 then is f(I) = I?
when arguing f'(2) exists i wouldnt worry about sets
just for this point i dont consider the domain restriction
im just using these formal definitions but ig theres not erally a point of doing this
i mean very formally yes u need to make sure f(I) is contained by J
btw g should be on J not I
Yeah ur right
My idea was just setting I = J
ok lets be formal then to be safe š
x^2+1 has domain R and image [1,infty)
its contained in the domain (0,infty) of 1/sqrtx
ok now im gonna need u to tell me f(I)
f(x) we consider has a domain [0, inf) and an image (0, 1]?
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 $f\inv:J\to I$
ćć±ćććøć£ć³ć
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
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
ćć±ćććøć£ć³ć
Yep that makes a lot of sense now
Not gonna lie tho, Iām not sure how necessary putting all of this is for a proof like this
I guess itās not too difficult just gotta be careful
I realize a lot of the times I do proofs Idonāt know when I need to explain something
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...
oh
Are neighborhood considered open by definition btw
Ah ok
Also one more thing
Is it necessary to show the case x = -2
youll usually want to say open neighborhood to be safe
and have our domain restriction (-inf, 0)
i think its crazy to have to explore every choice of domain restriction, but ask ur prof
Alright thank you!
I guess it would be the same thing
no in general u get different f^-1 based on domain restriction
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
Ah I see
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anyone just tell me the process
hsc?
yeah gng
nice nice
just remind me what i need to do
i think u could do that if u wanted to
yeah easy so for part 3 i integrate?
yeah integrate f' to get f
the nsub those lot in
yre
oh shit i thought of it too much
like we sub in just to find c
then we rearrange
damn
nah stat should be calm im more concerned ab vectors
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 
100
idk my schools leninet on it for internals
2u hsc gonna be easy this year no sweat
say deadass i thought the difficulty spikes according to every odd year
for 3u anyway
i am deadass
for 2u
it goes easy hard easy hard
i was cohort 2024
and we got shit on with that 2u exam
oh tough
it was so cooked
yeah everyone shit the bed
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
o i graduated
yeah which one
im not gonna say which one but its public and cracked at adv eng
only for like 3u english and all that we pump e4s
private
ah
nice nice
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
good question
i need like one more word of affirmation bc ive heard the same response everywhere
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
according to school ranking though
if ur in a good school and good cohort it definitely helps
but you cant really control that
bro i actually ate shit for all my first internals last year
and I'm actually going the long way relearning everything and a bit more
what subjects do u do?
it's not taking too much time
just secure rank 1 or try to get at least top 3 ranks for all of ur subjects
if u ccan u will be in a good spot
trials is what separates most people
but I just want the most ideal routine for that outcome
eng english adv 3u math physics music
music tuff
wbu
i did 2u eng 2u maths ancient his, physics, legal studies i used to do chem but i dropped
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
90>
nah that's tough
btw u can get 90> atar with 0 b6s lmao
yeah idk for english i just need to flow more
yeah i know it's js being concistent
yeah my mate got 94 doing fair scaling subjects
yes english is unique you need to find your own voice, tips for mod C is always have a discursive prepared
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
ight i see it now
discursive can also be turned into an imaginative pretty easily
yeah theyre usually all internals
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
allah 14 pages ššš
wait is that all accumulatory
like across 3 questions
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
yeah that's fair
i think i js need to work on fluidity and that's it
also physics rlly grind them mcq
i hated mcq for physics
dont study last minute tho š¤£
multiple choice q
that was my whole outcome for prelims
well actually all y11
yeah i saw
it only works if ur 10000% cracked at a subject but even then dont risk
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
woah wtf
ya my reaction
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
actually coudl we go dms i js want to ask a few more
cheers brody
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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 $C$?
does anything change if C is invertible?
$n\times n$
Ann

kheerii
C can be proven invertible from this equation alone
so no
oh?
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
C could also only have one of those as eigenvalue
if C has only 1 as an eigenvalue that means the eigenspace of 1 is the whole space?
(lambda-1)(lambda-1/4)=0
ok
nice
like I don't know how exactly to interpret (C-I)(C-I/4)=0
does that mean the sum of the two eigenspaces is the whole space?
i.e. $\ker(C-I)\oplus\ker(C-I/4)=\bR^n$
kheerii
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
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
this is the basic reasoning for the cayley-hamilton theorem right?
honestly I forgot how that one is proved. but maybe
well this kinda proof works when A is diagonalisable at least
Hayley-Camilton theorem
A vector space is a set and two associated operations; the elements of which obey 10 axioms š„
They're like the 10 commandments but they make less sense
Oh fuck I thought this was the lounge lmfao
so true
nah they make sense though
lol i believe wikipedia's most concise definition is "a vector space is a module over a field"
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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.
@regal forge Has your question been resolved?
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How do I solve for d?
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
$\frac{dx}{dt} = V(t)$
SELVATOR
so you need to find the point where the velocity changes signs
$\frac{dv}{dt} = a$
SELVATOR
Maybe it changes direction on V = 0
U need to solve delta
And chose the positive result
Negative result is unacceptable
there won't be any negative answer
SELVATOR
$t = 0$ unacceptable and $6t - 36 = 0$
SELVATOR
@alpine hull
I just plugged in the numbers that were on the sign chart I drew
yes it's correct
yeah i guess you can disregard t=0
and assume that the particle starts moving at t=0 to the left
and only changes direction at t=6 to the right
from my understanding itās moving from -1 -> 0 positively then at 0 it goes to rest then changes direction from the intervals 0 -> 6 and goes negatively
or are yāall saying -1 doesnāt matter it starts at 0 bc thats when its at rest and itās pointing down while going to 6 and when we go to 6 itās pointing up
yeah but because this is physics usually time starts at 0
so you would only consider the functions for t>=0
cuz negative time isnt really a thing
so is drawing that little line helpful or should i not
this is for my calc 1 class unless calc 1 uses physics
it's correct and helps you visualise the problem
well
so i should interpret it as this?
if this were a purely theorerical question
-1 is point before record start
it would be correct
We don't know if t = -1s exist
but because they've based the problem on a real life scenario, you have to start the time at t=0
okay i guess that makes sense so i donāt to plug in and check for numbers lower than 0?
yeah
you can view t=0 as the moment when the movement of the particle starts
clearly you cant talk about t<0 since there was no movement
and its as simple as from 0-6 arrow is pointing down and after 6 its pointing up so thats the change in direction
yeah
alright thanks šš»
you're welcome
also when they ask this question i plug it into velocity equation?
jus to make sure
@round gust
It depends
well yeah
as we said, the direction changes when the sign of the velocity changes
so you plug in t= whatever and see if v is positive or negative
will it ever be for acceleration?
a=0 could mean that the object is moving at a constant speed
or it could mean that the object is standing still
or it could mean a point where the acceleration changes from positive to negative, which would indicate a maximum/minimum of velocity
so if the question were: find the maximum/minimum velocity of the particle
you would set a(t)=0
and then whatever t you get, you plug it into v(t) to get the maximum/minimum velocity
I think so
so when does it change direction
at 1?
at 1 and 3 or what
1 and 3 yes
yeah
i guess...
but there's no need
you forgot a t there
it should be -4t
but the factoring is correct
whoops
$x_1 = \frac{4 - 2}{2}$
SELVATOR
$x_2 = \frac{4 + 2}{2}$
SELVATOR
$x_1 = 1$ and $x_2 = 3$
SELVATOR
not right now thanks idk how to close this
.close
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do you know how to do it or no
recall the eigenvectors equations
A . x = Ī» . x
(A - λI) . x = 0
so find the nullspace for (A-λI)
but first plug Ī» = 1
then do the same for Ī» = 5
find the eigenvectors of each eigenvalue->create a 2x2 matrix where each column is an eigenvector->answer
is this correct? (asking for myself. im studying this irl as well)
hey, could you please help me understand this
Why do you find the null space?
is so you find all the possible vectors x that satisfy (A - λI) . x = 0
you get a span
which other way is to do it?
So 5-1 and 1-1
plug A - λI to λ = 1
yes the diagonal elements are only affected
,, A - I = \begin{pmatrix} 4 & 0 \ 2 & 0 \end{pmatrix}
Yes then reduce it to only having 1 in top left corner
Ok so you have free variable x = 2
938c2cc0dcc05f2b68c4287040cfcf71
,w nullspace {{4,0},{2,0}}
Are all Eigen vectors finding null spaces ?
is null space the same as the eigenvector?
My tutor at school was telling me that too
Like (A-I)v = 0
He said v is the null space
all the vectors, v that satisfy that equation are multiples of the vectors of the nullspace I think
like <(0,1)> meaning (0,x) where x is free, x ā R
Hmm
Thanks for your help
Iāll be on a little bit later to finish the assignment
If youāre here.. Iāll ping you
Unless you want me to show you another one right now?
if you want
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?
Like you do (A-lambda(I))v and do RREF
And get identity matrix
Meaning it is not part of the matrix
?
Let me know if that makes sense
I think that would mean that lambda is not an eigenvalue
Ok great
and thus, the nullspace is trivial , only the zero vector
What do you mean by only the zero vector
,w eigenvalues {{5,0},{2,1}}
That is not part of the null space
the nullspace is a vector subspace, zero vector is always inside it
take for example a lambda that is not 1 nor 5
solve for v, in : (A-λI).v = 0
you will get that the nullspace is trivial (only zero vector inside)
and if you row reduce the matrix you get a matrix with full rank, as you said you get identity matrix
Oh true
So if the nullity is 0 then there is still a zero vector lol
Yeah we have some basic questions in this but Iām trying to figure out how to do the different versions of them
Like when you have the eigen value and find a vector
Or find if the vector is eigen vector
And also find if the eigen Value is part of the matrix
@torpid perch so we are basically trying to find these three things I belive
It seems all we have learned so far was RREF
And spaces
And it has been 3 months
Basis for spaces
Expanding the dimension
Finding if a vector is part of the matrix by augmenting the matrix
lmao too many questions
Sorry mein
is better if you close this and open another one for another question
you also give the opportunity of other people to help u
you can always ping me if no one replies
but I need to go eat something
Me too lol
Iām waiting for my school cafeteria to start serving dinner
Iāll ttyl
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i applied the eigen value to (A-3I)
then did RREF
and got the identity matrix
ok so it is no then
it is not an eigenvalue
ok lmc
?
check your work
ok
1-3 = -2 , -2-3 = -5, 1-3 = -2
yes that is correct i checked the reduction with a calculator
ok
i was confuseed bc my professor in calss used an example of a 3x3 matrix with a left triangle of 0's
check again
i mistook a 1 for a 0
in my reduction
i did RREF wrong though
yes
it is a vector in the matrix
when you use an eigen value
it is a null space of that matrix
what
check again
this whole definition is just a mess
what does "using an eigenvalue" mean
an eigenvector is a nonzero vector v so that Av=lambda v for some number lambda
thats the definition you should remember
for one its a bit circular cause lambda being an eigenvalue is defined by having an eigenvector
3, 2 ,1
yes
ok
also really the point of eigenvectors is that matrix*vector is the same as number* vector
we could, sure
so there are like 3 things to solve from it?
there are obvious issues with the fact that it doesnt generalize to infinite dim but we'll ignore those
the question is, why would we care about randomly det(A-lambda I)=0
find if the eigen value is part of the matrix
find if the vector is an eigenvector
like you can reverse these things
in functional analysis you encounter lots of infinite dim spaces
oh you were right my bad the eigenspace is the null space
when you apply the eigen value
please stop saying "applying the eigenvalue"
lol what do you call it then
call it subtracting lambda I for all I care. but really the fact that you need the phrase in the first place is worrying
computing the eigenspace
oh
so it's a sequence
subtract lambda, RREF, find null space = computing eigenspace
yes
cool
not every step always needs to have a name
thats true




