#help-27

1 messages · Page 284 of 1

daring bobcat
#

yeah it's slowly all connecting for me

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i'm learning :p

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i might need some time to look through the wiki though

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for now, last question - do you mean differential calculus?

lusty sapphire
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Blake nailed the answer btw Ginger

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You need the discriminant(s) of the quartic

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That will tell you the nature of the roots

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whether they are all real or not

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But it's ginormous

daring bobcat
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here and above?

lusty sapphire
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The real question should be, what is your purpose for doing all of this?

daring bobcat
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i'm definitely going to reread all of blake's answers here

lusty sapphire
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Do you know how to determine when a quadratic has real roots?

daring bobcat
daring bobcat
lusty sapphire
daring bobcat
#

i hadn't realized before how that relates to factoring a polynomial bad phrasing

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here's the matrix

[-ik,  Az, -Ay,   0, Bz,  -By],
[-Az, -ik,  Ax, -Bz,  0,   Bx],
[ Ay, -Ax, -ik,  By, -Bx,   0],
[  0,  Cz, -Cy,  ik,  Dz, -Dy],
[-Cz,   0,  Cx, -Dz,  ik,  Dx],
[ Cy, -Cx,   0,  Dy, -Dx,  ik]
#

(A, B, C, and D are 3D vectors with x, y, and z components)
(this can also be written as a coupled equation for two 3D vectors that involves cross products)

(it's a 6x6 matrix, but i've got the characteristic equation factored into a quartic polynomial multiplied by a quadratic;
at least when A = B and C = D, we can just assume that)

lusty sapphire
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there could be something there, there could not

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With the x, y, z, it likely completely arbitrary

daring bobcat
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(A = B and C = D is also important)

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regardless, i'll definitely think more about the quartic discriminant

arctic field
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what is k

daring bobcat
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(everything is real in the matrix actually, except the explicit use of i)

arctic field
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well at least you can conclude for B = C that all the eigenvalues are purely imaginary

daring bobcat
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ok, yes, that itself is a nice result actually

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how did you conclude that actually?

arctic field
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spectral theorem

daring bobcat
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it's anti-symmetric then, except for the diagonals

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gotcha

arctic field
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anti-symmetric refers to A* = -A in this case

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you have to take the conjugate transpose

daring bobcat
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right, but we can assume A, etc. is real

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in my case

arctic field
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i'm talking about the whole matrix

daring bobcat
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ah. then, right, the diagonal entries don't work (since they're nonzero), that's what i meant

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i also mean, if B = C

arctic field
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-(ik)* = ik though

daring bobcat
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oh

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oh!

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sorry, i'm just not used to dealing with fully complex matrices i guess :p

arctic field
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when B and C are not equal, there's nothing that jumps out immediately

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you could try decomposing and analysing the effect of the symmetric part

daring bobcat
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that is also an interesting idea

arctic field
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the hope is that it's very singular but who knows

daring bobcat
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why would that be a good thing?

arctic field
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well the eigenvalues of a singular matrix are going to be mostly 0

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but at the same time you lose control over this when you add things so it doesn't help too much

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but you'd hope that it doesn't perturb the eigenvalues of the anti-symmetric part that much

daring bobcat
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ah right, the symmetric part being singular (i mixed them up)

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so the anti-symmetric part dominates

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this is definitely helpful

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i'm not sure if this will be the final method of calculation used but this is definitely very interesting

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i think it will help me/us (other people working on this too) gain insight into what is going on

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i'm just going to continue thinking things over, but in the meantime, thanks

arctic field
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i would think this is quite a difficult thing to characterise in general

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using the quartic discriminant on the char poly might be the most direct brute force method

daring bobcat
# arctic field i would think this is quite a difficult thing to characterise in general

(definitely not trying to obligate you to keep working on this but) just want to write down 2 things that could help:

  1. we can just stick with A = B and C = D (corresponding to massless neutrinos, which they pretty much are)
  2. in this case, two of the eigenvalues are just +/- ik, and the characteristic eq. can be factored into a quartic multiplied by (lambda^2 + k^2)
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which i guess i sort of already said... but i'm not sure if these facts can be leveraged while also thinking about the antisymmetric and symmetric contributions (to the 6x6 matrix)

daring bobcat
daring bobcat
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👍 sounds good. i'll keep staring at it anyway

arctic field
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👍

daring bobcat
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(i really do appreciate all the time and help btw kannawave)

arctic field
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👍

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fair juniper
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this is against the rules

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wait

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are you making it and want testers?

lethal pollen
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Yea that's the premise

fair juniper
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my bad

dense jay
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sure ill have a whirl

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as long as theres no pesky statistics

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any, i took an oath that i wont do statistics outside of physics work

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oop

old carbon
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woah

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did he just get banned

dense jay
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seems like it

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my oath was too strong

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@void knot Has your question been resolved?

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supple knot
#

What is orthogonalize

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solid osprey
#

let $p$ be an odd prime and $a,b$ be coprime positive integers, prove that $$\gcd(a+b,\frac{a^p+b^p}{a+b})=1 \text{ or } p$$

woven radishBOT
#

Skissue ping4response

solid osprey
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starus 1

devout snowBOT
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lament kraken
solid osprey
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when its odd right?

lament kraken
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@solid osprey

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We can do some simplification

valid silo
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let us say the gcd is k

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than

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k|a+b

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and

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k^2|a^p+b^p

lament kraken
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@solid osprey

valid silo
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k|a^p+ba^p-1

lament kraken
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Hey

solid osprey
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what

lament kraken
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Js asking

solid osprey
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how do i simplify

solid osprey
lament kraken
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Divide the a^p + b^p by a+b

valid silo
solid osprey
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what?

lament kraken
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Sry gtg

valid silo
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i mean

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k =\= 1

lament kraken
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Bye

valid silo
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i am not saying gcd(a,b)

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i am saying

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gcd(a+b,(a^p+b^p)/(a+b))

solid osprey
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oo

solid osprey
valid silo
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if k|x k|xy

solid osprey
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what

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oh

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i thoguth it was a^p + ba^p -1

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ok i see

solid osprey
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this feels close

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now how do you get rid of the b^(p-1)

devout snowBOT
#

@solid osprey Has your question been resolved?

hollow ice
solid osprey
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hm

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well either gcd(p,b)=1 or p

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if its 1, then gcd(a+b,pb^(p-1))=gcd(a+b,b^(p-1))*gcd(a+b,p)

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gcd(a+b,p) can be 1 or p, not sure about gcd(a+b,b^(p-1))

hollow ice
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you know gcd(a,b) = 1

solid osprey
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1=gcd(a,b)=>gcd(a+b,b)=1?

hollow ice
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Yes

solid osprey
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oh

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so if gcd(p,b)=1 then gcd(a+b,pb^(p-1))=1 or p

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if gcd(p,b)=p then gcd(a,p)=1

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of we use the previous we only need to worry about gcd(a+b,p)

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gcd(a+b,p)=gcd(a+pk,p)=gcd(a,p)=1

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ok isnt this solved

hollow ice
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Yea

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But also no

solid osprey
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wat

hollow ice
solid osprey
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oh

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oh wait isnt it that thing

hollow ice
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if the gcd is p, you can just sub in b=kp

solid osprey
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shush i did not write anything

solid osprey
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gcd(a+b,pb^(p-1))=gcd(a+kp,k^(p-1)×p^p)

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gcd(a+kp,p^p)=1 right?

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solid osprey
#

i just realized gcd(a,k)=1

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round talon
#

what did i do wrong

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round talon
#

x + 2x + 3x = 180

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5x = 180

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x = 36

urban spindle
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x+2x+3x=/=5x sadly

round talon
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OH

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oh my god i just noticed

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.closed

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spring oasis
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woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

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#

@spring oasis Has your question been resolved?

sonic smelt
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# woven radish **938c2cc0dcc05f2b68c4287040cfcf71**
What step are you on?
1. I don't know where to begin.
2. I have begun but got stuck midway.
3. I got an answer but I was told that it's wrong.
4. I got an answer and would like my work checked.
5. I have a question about someone else's work/solution.
6. I have completed the problem and don't need help anymore. Thank you.
7. None of the above
spring oasis
sonic smelt
#

Well, first you need to ensure f(2, 3, 1) equals (4, 3, 6)

#

Can you find the coordinates of (2, 3, 1) and (4, 3, 6) in the given basis?

spring oasis
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you want me to find (2,3,1)_B and (4,3,6)_B?

sonic smelt
#

Yeah

spring oasis
#
  1. (2,3,1)_B ==> (2,3,1) = a(0,1,-1) + b(1,1,1) + c(0,0,1)
  2. (4,3,6)_B ==> (4,3,6) = a(0,1,-1) + b(1,1,1) + c(0,0,1)
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right?

sonic smelt
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No, those the vectors that have coordinates (2, 3, 1) and (4, 3, 6) in the given basis

spring oasis
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my bad

sonic smelt
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(2, 3, 1)_B is the vector (x, y, z) s.t. x(0, 1, -1) + y(1, 1, 1) + z(0, 0, 1) = (2, 3, 1)

spring oasis
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yeah, I wrote that first, but idk why I rewrote to the other equation

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I am bad with coordinates calculations, I am very bad

sonic smelt
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Here calculating coordinates is simpler than usual since there is only one basis vector with a nonzero first entry

sonic smelt
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Actually I probably should have given those variables different names

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Deduce the value of x by looking at the second entries and of z by the third entries

spring oasis
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(2,3,1) = (b,a+b,-a+b+c)

sonic smelt
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Right

spring oasis
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b = 2

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3 = a+ 2

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a = 1

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1 = -a + b + c

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1 = -1 + 2 + c

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c = 0

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  1. (a,b,c) = (1,2,0)
sonic smelt
#

Right, so (2, 3, 1)_B = (1, 2, 0)

spring oasis
#

perfect

sonic smelt
#

What about (4, 3, 6)_B

spring oasis
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(4,3,6) = a(0,1,-1) + b(1,1,1) + c(0,0,1)

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i) 4 = b

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ii) 3 = a + 4 ==> 3 - 4 = a ==> a = -1

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iii) 6 = -a + b + c ==> 6 = 1 + 4 + c

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c = 6 - 5 ==> c = 1

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  1. (a,b,c) = (-1,4,1)
sonic smelt
#

So you have (2, 3, 1)_B = (1, 2, 0) and (4, 3, 6)_B = (-1, 4, 1), this tells you that multiplying the given matrix of f by (1, 2, 0) should yield (-1, 4, 1)

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In order for the f(2, 3, 1) = (4, 3, 6) to hold

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I.e.,
[ \begin{bmatrix} 1 & -1 & b \ a & \phantom{-}3 & 1 \ 1 & \phantom{-}0 & 3 \end{bmatrix}\begin{bmatrix} 1 \ 2 \ 0 \end{bmatrix} = \begin{bmatrix} -1 \ \phantom{-}4 \ \phantom{-}1 \end{bmatrix} ]

woven radishBOT
#

A Loner Bean

sonic smelt
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You can rewrite this as a linear system regarding a, b

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Actually you will find the value of a using the latter, the value from b will come from ensuring that f is not injective

spring oasis
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,, \begin{cases} 1 -2 &= -1 \ a + 6 &= 4 \ 1 &= 1 \end{cases}

woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

spring oasis
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a = 4 - 6 ==> a = -2

sonic smelt
#

Great

sonic smelt
spring oasis
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if we set the determinant to zero

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the image is R3 and the kernel is dim 0?

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what does it mean that is not injective?

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in terms of the image and the kernel?

sonic smelt
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You are describing the case when determinant is nonzero

sonic smelt
spring oasis
#

the determinant being zero means we have a linear dependency

sonic smelt
#

Not injective linear map <=> nontrivial kernel

spring oasis
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ok

#

dim(ker) >= 1

sonic smelt
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And in the case of square matrices that's equivalent to zero determinant

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Right

spring oasis
#

by the matrix which matrix you mean M_(B)(f)

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I take the determinant of this matrix? the matrix representation of the linear transformation that also changes coordinates

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we can start by using last row, since it has one zero

sonic smelt
spring oasis
#

$-1 \cdot \begin{vmatrix}-1 & b \ 3 & 1 \end{vmatrix} + 2 \cdot \begin{vmatrix} 1 & -1 \ 3 & 3 \end{vmatrix} = 0$

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its b not k, I misread

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a = -2

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no wayy

sonic smelt
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\begin{vmatrix} is missing

woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

sonic smelt
#

1, 3 instead of -1, 2

spring oasis
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$-1 \cdot \begin{vmatrix}-1 & b \ 3 & 1 \end{vmatrix} + 2 \cdot \begin{vmatrix} 1 & -1 \ 3 & 3 \end{vmatrix} = 0$

woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

spring oasis
#

a = -2, or am I tripping?

sonic smelt
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a = -2 yeah

spring oasis
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ahh you mean the coefficients outside

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not inside the vmatrix

sonic smelt
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Along which row/column are you expanding?

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Yeah

spring oasis
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I was using row 3

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1 times vmatrix -1 b \ 3 1 vmatrix + 2 times vmatrix 1 -1 \ a 3 vmatrix

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right?

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,, 1 \cdot \begin{vmatrix}-1 & b \ 3 & 1 \end{vmatrix} + 2 \cdot \begin{vmatrix} 1 & -1 \ -2 & 3 \end{vmatrix} = 0

woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

spring oasis
spring oasis
spring oasis
sonic smelt
#

I am not from America, so I wouldn't know

spring oasis
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oh ok

sonic smelt
#

I would expand along the third row too though

spring oasis
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by cofactors you guys do it

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or by sarrus rule?

sonic smelt
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Mostly cofactor expansion

spring oasis
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ok

#

,, 1 \cdot \begin{vmatrix}-1 & b \ 3 & 1 \end{vmatrix} + 2 \cdot \begin{vmatrix} 1 & -1 \ -2 & 3 \end{vmatrix} = 0

woven radishBOT
#

938c2cc0dcc05f2b68c4287040cfcf71

spring oasis
#

so this is correct or am I tripping?

#

like we want determinant zero so we have a nontrivial kernel

sonic smelt
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So far so good

spring oasis
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ok

#

(-1 x 1 - 3b) + 2(3 -2) = 0

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(1-b) + 2(1) = 0

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1 -b = -2

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1 + 2 = b

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b = 3

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ok, so that was all

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I think

sonic smelt
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How come -1 - 3b became 1 - b?

spring oasis
#

myyy bad

#

-1-3b + 2(3-1) = 0

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-1 -3b + 2 = 0

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-1 + 2 = 3b

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1/3 = b

sonic smelt
#

Right, that's it

spring oasis
#

okay perfect, thank u

#

this should be it

#

thank you

#

.solved

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glacial ether
#

what is nicht führende Hauptminoren - non leading principal minor?

rotund umbra
#

Let X be an NxM (possibly non-square) matrix.

  • A "minor of the matrix X" is the determinant of a submatrix of X formed by deleting some rows and columns. For this determinant to exist, the remaining columns must equal the remaining rows.
  • A "principal minor of X" is where 1. the matrix X is square, and 2. the indices of deleted rows equals the indices of deleted columns.
  • A "leading principal minor of X" is where the submatrix consists of the first k rows and k columns of X.
  • A "non-leading principal minor of X" is any principal minor of X that isn't principal
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glacial ether
#

how do i use it to find the definite of the matrix

rotund umbra
glacial ether
devout snowBOT
#

@glacial ether Has your question been resolved?

glacial ether
#

i mean how do i know if the matrix is positive definite or negative definite

rotund umbra
#

Well, there is a short cut to see if a determinant is zero, if it's covector components are dependent.
For example, the determinant of {{1,2}, {2,4}} is zero because the system of equations it describes (x + 2y and 2x + 4y) are the same.

#

That is, if you can get one row from a sequence of transformations of the others, the determinant is zero.

#

Another example;

1 2 3
2 4 5
1 2 1

the determinant of this matrix is zero because row3 = 2 row2 - 3 row1

glacial ether
#

danke

#

.solved

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mystic spire
#

can anyone help me in my channel

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gilded herald
#

How would you go about finding the coordinates of the point of a line that is the nearest to another point in a 3d space?

In my problem, i have access to the line's equation, the other point's coordinates and the distance between the line and the point.

gilded herald
#

The distance is sqrt(236)/sqrt(14)

gilded herald
#

The line's equation is
[2 4 -3] + k[2 1 -3]

The point Q's coordinates are
(2, 1, 4)

The question is : which point in the line is the nearest to the point Q ?

#

The question is related to the last question where you find that the distance between the line and the point is sqrt(236)/sqrt(14) units

#

Thats the whole problem, I cant really send an image since it's not in english and there are like 12 questions that separate the info about the line and the point and the question

supple knot
#

It'll help to minimize distance^2 since it gives the same answer

timber ore
#

You can do the minimisation route, but it's probably easier to do it purely as a vector job.
Pick any point on the line (e.g. the one you're given), find the vector from there to Q, and dot that with the (normalised!) direction vector of the line. That gives you the distance from the point you chose on the line, along to the point that's closest to Q. Then you just go along the line by that distance and you're there

gilded herald
#

Ok, thanks for the help!

#

.close

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west depot
#

Can someone help me with this

devout snowBOT
west depot
#

I have to simplify the x^2 + y^2 - 2xy -1 but there's a step I dont understand

#

This one precisely

olive snow
#

Its using identity

west depot
olive snow
#

a² - b² = (a-b)(a+b)

#

So replace a by x-y

#

And b by 1

west depot
#

why would you do that tho

olive snow
#

Cuz the question ask for ?

west depot
#

I feel like its doing the opposite of simplifying

olive snow
#

Cuz simplifying means nothing

#

You want to factor here

olive snow
west depot
#

so like it's a formula I have to follow?

olive snow
#

Its an identity that you must know yeah

#

Useful

west depot
#

why you divide specifically (x-y) and -1

#

dont you have to consider the ^2 in the (x-y)?

olive snow
#

Divide ?

west depot
#

like separate

#

sorry Im translating in my native language

slender peak
#

è un doppio prodotto

olive snow
#

Well you can distribute (a-b)(a+b) to see what it gives

olive snow
#

Just making sure

#

To not gives useless thing

tall cypress
olive snow
#

But since an italian arrived

west depot
#

I dont know how I can struggle in an easy topic but can easily do way harder topics

west depot
slender peak
#

se fai i calcoli, quindi fai la potenza, alla fine torna tutto

slender peak
#

questa è una differenza di quadrati

west depot
#

aspe

tall cypress
olive snow
tall cypress
#

(x - y)^2 - 1 is the answer

#

You just simplify it like that

west depot
tall cypress
#

Okay

#

So

west depot
#

I don't get how you go from what slender said to the result

olive snow
tall cypress
#

a^2 - b^2 = (a - b)(a + b)

west depot
#

shouldn't it be sonething like (x-y)(x-y) -1?

tall cypress
west depot
#

why do we put the 1 both times

tall cypress
#

((x - y) - 1)((x - y) + 1)

tall cypress
tall cypress
#

Done

#

Is that clear @west depot

west depot
#

Im trying to think

#

okay I understand that [(x−y)−1][(x−y)+1] is [a-b][a-b]

#

so like we divide (x-y) and -1 because they don't share anything in common?

#

like (x-y) = a and -1=b?

#

@tall cypress

slender peak
#

coma scomporresti x^2-9?

tall cypress
slender peak
#

che è esattamente la stessa cosa

west depot
tall cypress
#

Not -1

west depot
#

così?

slender peak
#

giusto!!!

west depot
#

ah va bene

#

quindi per scomporre (x-y)^2 -1

#

dovrei fare

slender peak
#

ora è lo stesso principio, devi rifare la stessa cosa

west depot
#

[(x-y)+1][(x-y)-1]

#

ci credi che io riesco a fare la trigonomia senza difficoltà e poi mi blocco per argomenti del genere?

#

grazie mille comunque

#

I think I've understood now, I'll just try another similar exercise and I'll close if I dont need your help

slender peak
#

quindi x^2+y^2-2xy diventa, visto che bisogna scomporre il polinomio in più di grado più basso, diventa ((x-y)-1)(x-y)+1)

west depot
#

si grazie

west depot
#

provo a fare un altro esercizio per conto mio

#

ok ho capito

#

thanks everyone I seem to understand now I did another exercise by myself

#

/close

#

.close

devout snowBOT
#
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devout snowBOT
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clever sphinx
#

hellooo

devout snowBOT
clever sphinx
#

can someone help me with 12

devout snowBOT
#

@clever sphinx Has your question been resolved?

#
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tired tendon
#

What does it want me to do?

devout snowBOT
tired tendon
#

Do I just graph it or what?

#

What does it mean by with transformations

#

?

supple knot
#

Use graphs of cos and sin

tired tendon
#

Do I just graph it?

queen vine
tired tendon
#

Okay, thanks

devout snowBOT
#

@tired tendon Has your question been resolved?

tired tendon
#

Can anyone compare answers with me rq

#

?

#

Graphing calculator is being uselesss

#

HELLO!?

ocean viper
#

I’m here

misty crest
#

@ocean viper

tired tendon
#

okay, thanks

ocean viper
#

Gimme one sec lemme get a piece of paper

tired tendon
ocean viper
#

What did u get for the first one

tired tendon
#

y = sin[36(x-4)] + 2.5

ocean viper
#

Uhhh

#

Can you show ur work

tired tendon
#

Max = 3.5

#

Min = 1.5

#

C = 2.5

#

A = 1

#

oh

#

k = 180?

#

I'm not sure

#

K is 360/period

#

from what I know

tired tendon
ocean viper
#

I looked at the scale wrong for the y-axis 😭😭😭

tired tendon
ocean viper
#

I’m incompetent

#

You should be right

tired tendon
#

Oh, okay

#

what about k

#

?

#

I'm unsure

ocean viper
#

Lemme see here

#

36?

tired tendon
#

I'm not sure if P = 19

#

10

#

(

#

**

#

The graph is weird

tired tendon
ocean viper
#

Lemme solve that gimme 1 min

tired tendon
#

Alright, thank you

ocean viper
#

What did u get

tired tendon
#

y = 2sin(x-1) + 4

ocean viper
#

Uhhhh

#

I got k = 2pi/3

#

Cus period is 3

#

2pi/k = 3

#

3k = 2pi

tired tendon
#

I haven't done that yet

#

So I'm not sure

ocean viper
#

?

tired tendon
#

nevermind

#

Could you help me with one more?

ocean viper
#

Wait one sec

#

What about the phase shift for b

#

Should be 3 I think

tired tendon
#

It's sine

#

so I wrote 1 to the right

#

idk

ocean viper
#

Oh ur right my bad

tired tendon
#

Alrighty

ocean viper
#

Next one

#

Why am I so ass at trig functions 💀

tired tendon
#

lol

ocean viper
#

At this point I should be getting help lol

tired tendon
tired tendon
#

that's all

ocean viper
#

What have u done so far

tired tendon
#

Litteraly half of A

#

😭

ocean viper
#

Dang

tired tendon
#

I know to find period, I need to do 1.75 - 1, to find the diff

#

for the value betwen them

ocean viper
#

So it takes 0.75 seconds to go from min to max

tired tendon
#

yeah

ocean viper
#

But that’s half the period because we want a full cycle

tired tendon
#

then x2?

ocean viper
#

Ye

#

So period should be 1.5 s

tired tendon
#

Yep

ocean viper
#

Which basically represents the amount of time for a full cycle to occur on her rocking chair

tired tendon
#

for b,

#

Is it asking for the C value?

ocean viper
#

Ye

#

I assume so

#

So we just need to find the (min + max)/2

tired tendon
#

yeah

#

1.375

ocean viper
#

?

tired tendon
#

C = 1.375

ocean viper
#

Ok so

#

The function outputs distance as a function of the input time

tired tendon
#

Wait, would we need ot use the Y values>

#

?

ocean viper
#

Yes

#

The midline depends on the y-values

tired tendon
#

Yeah

#

IT says when it's furthest, it's 18cm, right?

#

or cloeset

#

mb

ocean viper
#

Ye

#

And 34 for farthest

tired tendon
#

so

#

26

#

C=26?

ocean viper
#

Yep

tired tendon
#

or wait

#

yeah

#

okay

tired tendon
#

40 x 1.75

#

I think

#

wait

#

on

#

no

ocean viper
#

Uhh

#

It’s going through 40 cycles

#

And each cycle or period is 1.5 seconds

#

Which we identified before

tired tendon
#

1.5 x 40 = 60
{ 0 <- x <- 60

#

}

#

?

ocean viper
#

Ye

tired tendon
#

okay

#

now it's asking for range

ocean viper
#

Which is the amplitude x 2

#

Or wait we don’t even need that

tired tendon
#

{1 <- y <- 1.75'

#

]

#

right?

ocean viper
#

Mmmm

#

Y is the distance

#

And x is the time

tired tendon
#

Oops

#

yeah

#

you;re riugt

ocean viper
#

And since range is in terms of y we need to find restrictions on distance not time

tired tendon
#

{18<- y <- 34}

#

right?

ocean viper
#

Yes

tired tendon
#

?

ocean viper
#

Yep

tired tendon
#

And it represents the distance of her rocking?

#

from the rest position

#

?

ocean viper
#

Yes

#

So we have everything we need to write an equation now

tired tendon
#

Yeah

#

I got

#

8sin[240(x+0.875)] + 26

ocean viper
#

Should be right

tired tendon
#

ookay

#

I got 22

#

for g

ocean viper
#

Yep that’s right

#

Welp imma log off for today then

#

Cya

tired tendon
#

Alright, thanks

#

See you later

#

👋

devout snowBOT
#

@tired tendon Has your question been resolved?

devout snowBOT
#
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placid trout
devout snowBOT
placid trout
#

for part c why didnt they check t = 1 during the candidates test

#

nvm

#

they check the bounds and then the critical point in part b

#

.close

devout snowBOT
#
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lament schooner
#

if you were chovy this wouldve been easy

devout snowBOT
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normal merlin
devout snowBOT
normal merlin
#

you can use the ratio test and the nth term test to solve this right?

#

becasue if you use the nth term test you would get infinity right?

#

and if you use the ratio test you get e^5 which is greater than 1 which means it diverges

#

just trying to understand if I understand what im learning

#

if that makes sense

acoustic leaf
#

yes

normal merlin
#

great thank you

#

.close

devout snowBOT
#
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rose wadi
#

i need help in a question

devout snowBOT
rose wadi
#

should i just send it here?

simple seal
#

yes

rose wadi
#

Find all natural numbers n such that 2^n-n is a perfect square

#

i've only managed to solve for even n

simple seal
#

show us your working so far

rose wadi
#

wait

#

if n is even, n=2k, then 2k=(2^k+x)(2^k-x)
there exists a,b such that 2^k+x=a, 2^k-x=b, daí 2^k=(a+b)/2 e x=(a-b)/2\implies (a^2+b^2)/2=(a^2+b^2)/4+ab/2\implies a=b, which is a contradiction

simple seal
#

so there are no even n

rose wadi
#

yes

#

but i want for all n

#

i just cant work out for odd n

devout snowBOT
#

@rose wadi Has your question been resolved?

devout snowBOT
#

@rose wadi Has your question been resolved?

devout snowBOT
#

@rose wadi Has your question been resolved?

devout snowBOT
#

@rose wadi Has your question been resolved?

devout snowBOT
#
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modest pollen
#

Does anyone know the exact method archimedes used to approximate pi with his method of exhaustion? Writing about it in my dissertation and there is so much info on the internet that conflicts eachother, also quite hard to find a decent paper with it

simple seal
#

iirc he calculated it using polygons with many many sides

#

i believe he started with a hexagon

#

and started doubling the sides

acoustic leaf
devout snowBOT
#

@modest pollen Has your question been resolved?

devout snowBOT
#
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restive river
devout snowBOT
restive river
#

heeeeeeeeeeellllllllllllllllpppppppppppppppppppp

final drift
#

okok

#

um

restive river
#

what is E(W), thats like random discrete variable

#

but i dont even know what that fully means

final drift
#

do you know what the cumalitive distribution function means

iron sun
#

That’s a number

final drift
restive river
#

shi i think thats the one lesson i missed at skl😭

#

it was the last lesson

#

and i left skl early

final drift
# restive river nope

okay the cumalative distribution function "$F(w)$ for $w$" is the probability that $W$ is less than or equal to $w$

woven radishBOT
#

Arnavutköy

restive river
#

bro

#

what does than even mean

final drift
#

so basically, if we plug $w=7$ into that function, we will get the chance that $W$ is less than $7$

woven radishBOT
#

Arnavutköy

restive river
#

oh

#

so any number we plug in

#

we just get the chance

final drift
#

if we plug in $w=6$ into that function, we will get the chance that $W$ is less than or equal to $6$

restive river
#

that all outcomes

woven radishBOT
#

Arnavutköy

final drift
#

that it is less than or equal to

restive river
#

are less than that number

#

so E(6)

#

gives

#

us the probability

#

of it

#

being

#

5,4,3,2,1

final drift
final drift
restive river
#

but in our question i think only

#

outcomes

final drift
#

yeah

#

so specifically, what is F(6)

restive river
#

so

#

just

#

6

final drift
restive river
#

F(W)

#

is everything

#

equal to and less than

final drift
#

so we have that when w=6, F(W) is the chance that w=6

restive river
#

and E(6)

#

is just 6

final drift
restive river
#

lik

#

expected

#

discrete value

#

like in a diff scenario

final drift
#

do you mean P(W=6)? "The chance that W=6?"

restive river
#

nah its fine

final drift
#

so plug in $w=6$ into the equation

woven radishBOT
#

Arnavutköy

restive river
#

just jeep going abt the normal discrete distribution thing

#

ok

final drift
#

plug in $w=7$ and $w=8$ also

restive river
#

yh

woven radishBOT
#

Arnavutköy

restive river
#

45/77

final drift
restive river
#

ok

#

i did

restive river
final drift
#

good

#

so what did you get in when you plugged in w=7 and w=8?

restive river
#

60/77

#

77/77

final drift
#

okay, so what is the chance that the variable is equal to 7?

restive river
#

so chance of =7 is 15/77

final drift
#

yes

#

and chance for 8?

restive river
#

and chance of it being =8 is 17/77

final drift
#

yep

restive river
#

ok

final drift
#

do you know how to calculate the expected value now?

restive river
#

no

restive river
#

wait

#

so we find it for each one?

final drift
#

okay, so for the expected value, we basically want the "average" value the variable takes

restive river
#

ok

#

so howd we do that

final drift
#

so for example, if a variable was half of the time 0, and half of the time 1, we would say that the expected value is half

restive river
#

ok

final drift
#

we take the probability that it is that number

#

and multiply it by the number itself

restive river
#

yh

#

ok

#

so

#

6 x 45/77

final drift
#

yes

restive river
#

and do we do

#

7x15/77 or 60/77

final drift
restive river
#

ok

#

ok

#

doen

#

now what

#

add them all up

#

divide by 3?

final drift
#

just add them up

restive river
#

k

final drift
#

we have already multiplied by the probabilities

#

supposing it had an equal chance of being 6,7, or 8

#

we would just take (6+7+8)/3

#

another way to think of this is (1/3) times 6+(1/3) times 7+(1/3)*8

#

as in we multiply every number by the probability

#

now we have done the same thing

#

except the probabilities are no longer all 1/3

restive river
#

yh

final drift
#

they are different for every number, but the three probabilities still all sum up to one

restive river
#

yh

#

bro

#

what is this

#

bro

#

im bugging

#

how do we even find this

#

is it that one formula

#

likeeeee

#

Z WORLD

final drift
#

so do you understand when a kiwifruit is large

restive river
#

Z- x-standard deviation over mean?

final drift
#

so its when it is greater than equal to $70$ right?

woven radishBOT
#

Arnavutköy

final drift
#

and since mean is 80 and std.dev. is 8, do you know what z-score that will correspond to?

restive river
#

yh

restive river
#

OH SHIIIIIIIIIIII

#

NOW

#

WE USE

#

THE GRAPH THING

#

IS IT NCD???

#

i got

#

0.89

restive river
final drift
#

0.89 seems to be about right guestimating without a calculator

restive river
#

ok

#

what abt b tho

#

like how do we inverse that

final drift
#

what do you mean inverse?

#

oh, just use a calculator to find the z-score

fast oriole
#

j]

#

oops

restive river
#

we dont know

#

upper limit

final drift
restive river
#

we do

#

we need to find k

final drift
#

so the z-score will be .38 to define the top 35%

restive river
#

but

#

how

fast oriole
#

its 37

final drift
woven radishBOT
#

Arnavutköy

final drift
#

do you know what the z-score is

restive river
#

idk what it even means

#

its like some code

#

but

#

i know the formula

#

icl might need to grind stats

#

im shambolic

final drift
#

so the z-score reperesents how many standard deviations you are away from the mean

#

so for 70 for example

#

the mean was 80

#

so we were -10 from the mean

#

and we are going to divide this by 8, our standard deviation

#

thus we are -1.25 standard deviations away from the mean

#

so we call this number the z-score, which was -1.25

#

and then, the thing is for the normal distribution, we can always find the probability based on the z-score

final drift
#

it is a complex function which is quite hard to understand

#

but for our purpose we just use a calculator or google to find out what z-score corresponds to which probabiliy

restive river
#

but how did u do b

final drift
#

specifically we saw a z-score applies to roughly 10.5 percentile

final drift
#

so first find out what percentage of kiwis are 80 or greater

#

find the z-score corresponding to 80

restive river
#

but how

#

we dont have

#

the area

final drift
#

we have the mean, the standard deviation, and the value

#

that is all we need to find the z-score

#

specifically, the z-score is the value minus the mean, all over the standard deviation

restive river
#

really

#

so

#

what

#

80-8/80

#

72/80

final drift
#

(80-80)/8

restive river
#

ohhhhhhh

#

ok

#

so

#

cold

#

0

final drift
#

so what probability does that correspond to?

restive river
#

50

#

0.5

#

...

final drift
#

yeah

#

so 50% of the time, the kiwi is jumbo or mega

#

if 35% of the time the kiwi is jumbo, that means that 15% of the time is mega

#

or alternatively, the kiwi is mega if the kiwi is in the 85th percentile or above

#

so now, google says the 85th percentile corresponds to a z-score of 1.036

#

so using this, can you calculate the cutoff between jumbo and mega?

devout snowBOT
#

@restive river Has your question been resolved?

devout snowBOT
#
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devout snowBOT
#
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placid trout
devout snowBOT
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Please don't occupy multiple help channels.

placid trout
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why did they use implicit differentiation here

simple seal
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because you cant directly differentiate x^1/x

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they used a more specific technique called logarithmic differentiation

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bringing the exponent down with logs before differentiating

placid trout
lament kraken
placid trout
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got it thanks

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devout snowBOT
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jolly ravine
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for this equation, I've already solved it by cross multiplying both sides and using the Pythagorean identity for sine and cosine (sin^2(x) = 1 - cos^2(x) then expand it)

not sure what other algebraic methods or identities I could use to verify the equation.
is multiplying the numerator and denominator by the conjugate of 1 + cos(x) which is 1 - cos(x) a valid way to verify the equation?

jolly ravine
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here's the supposed verification for what im asking:

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i wasnt taught it so im just unsure of it's a correct way of verifying a trig identity

simple seal
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yes it is valid

jolly ravine
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sick, thanks

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void knot
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Why can this indicate that the vector set a1,....an is linear indep?

simple forge
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its definition

devout snowBOT
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@void knot Has your question been resolved?

static ember
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it's a definition, but intuitively, a system of vectors is linearly independent if none of the vectors are "superfluous". That means that in case it is linearly dependent, then there is some vector you can throw out of the system and they will still span exactly the same vector space. That is indicated by the fact that when a system is linearly dependent, it is possible to construct the same vectors with multiple different linear combinations. Like if you have the system (1, 0), (1, 1), (1, 3), then you can construct (2, 1) as (1, 0) + (1, 1) or as 3(1, 0) - 2(1, 1) + (1, 3), which are already two different ways. This indicates that at least one vector of our system is superfluous and when throwing it out, all linear combinations become more unique. If there are no more superfluous vectors and our system is linearly independent, then every linear combination is truly unique. In order for that to be true, it just suffices to show that the zero vector has a unique linear combination, which is exactly that definition

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if it's not linearly independent and there was some non trivial linear combination of the zero vector $k_1 \alpha_1 + ... + k_m \alpha_m = 0$, then let's just assume $k_1 \neq 0$ and we can write $\alpha_1 = \frac{-k_2}{k_1} \alpha_2 + ... + \frac{-k_m}{k_1} \alpha_m$

woven radishBOT
static ember
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so we can represent some vector of our system by a linear combination of the others, making it superfluous

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#
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plush grail
devout snowBOT
plush grail
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so im having a problem with part b

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i want someone to see my working out

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if they dont mind

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because it feels like i hit a wall and cant continue

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this is what i got up to

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and idk what to do

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if there wasnt an x after the equal sign it wouldve been way easier

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like a zero instead

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idk

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help please

devout snowBOT
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@plush grail Has your question been resolved?

restive river
plush grail
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yeah

restive river
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in the last line, the sum should start from 2, not 1

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there is probably a mistake in the lines before

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@plush grail actually, you are also right, it is ok if you write it from 1

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but why are you stuck now ?

plush grail
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im used to that after the equal is zero

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not x

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now i cant say what's inside the braket to be zero

restive river
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if 2 polynomials are equal, it means that they have the same coefficient before x , x^2 , x^3 ... etc. but on the right, you have only x

plush grail
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wym

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oh

restive river
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on the right, it is a polynomial with a constant=0 and the coefficient before x^2, x^(anything) are 0, all except fox x^1

plush grail
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so im comparing coeff ?

restive river
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yea

plush grail
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so everything inside the x power n braket equals zero

restive river
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except when x=1

plush grail
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mm

restive river
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no

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n=1

plush grail
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bec it'll equal to x then ?

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oh

restive river
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so guess what must be the coefficient before x^1 ?

plush grail
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x power zero ?

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wym

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im confused

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i should take the braket and equal it to zero

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get cn+2

restive river
plush grail
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i dont grasp what your trying to get at

restive river
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the polynomial x is: 0x^0 + 1 * x^1 + 0x^2 + 0* ...

plush grail
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i dont get it

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will this differ in the way of solving this

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or can i procceed with my thing

restive river
plush grail
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mm okay

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should i get the value of the series when n is 1 and sub it on the other side of the equation ?

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dont think that would lead to anything

restive river
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no

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do you agree that x=0x^0 + 1 x^1 + 0x^2 + 0 *... ?

plush grail
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uhm

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no

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like

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we're comparing coefficients

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so like

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compare anything that's multiplied by x on the other side

restive river
plush grail
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cause you mentioned other powers of x

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x

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it should only include the first power of x

restive river
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but the others coefficient are multiplied by 0

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so only x remain

plush grail
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oh

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i mean sure

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yeah

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go on

restive river
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so it is like if you have a + bx +cx^2 = x and u must find a,b and c

plush grail
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i must find them for what purpose

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what are you getting at