How to prove a liner map/transformation? Question in comments.
what defines linearity?
T(x+y) = T(x) + T(y) T(kx) = kT(x), for some constant k
are these conditions sufficient?
I know those conditions, I don't know how to apply them.
I did this for part a) and now I'm stuck at part b), same question
These are the questions
does (x1+x2,y1+y2) =((x1+x2)(y1+y2),0)
or rather, does the process work out?
Yes, so if I multiply them out, that I am supposed just to go backwards again?
yes, the idea is to show that the transform of the sum of 2 vectors is equal to the sum of the transforms
or that it fails ...
So, is this it?
I don't really see the point of doing this :|
And I think it fails the second test?
the point is to give you practice :) make you familiar with the concepts
Ok, I am willing to practice, I am just not sure if I am doing the right thing, or if I am writing nonsense
T((2,1)+(0,3))= T(2,4) = T(2,1) +T(0,3) T(2,4) = T(2,1) +T(0,3) now we see if the transforms are equal (2(4),0) = (2(1),0) +(0(3),0) (8,0) = (2,0) +(0,0) well, it fails in that we can find an example at least; (8,0) is nto the same as (2,0) is it?
if T(a+b)=T(a)+T(b), then T(x) is a linear tranformation. and T(x) is defined so that we can compare results
Ok, give me few mins to figure this out. Thank you
Ok, I understand. I'll write that down neatly now. Would you mind taking a look at question 5, if that is not too much to ask? Just part a, if I get a), I will be able to solve b) on my own.
as for a, and assuming ive read your notations correctly T((x,xn)+(y,yn))= T(x,xn) + T(y,yn) T((x+y),(xn+yn))= T(x,xn) + T(y,yn) T(a,b)= 3a+2b 3(x+y)+ 2(xn+yn) = 3x +2xn + 3y+2yn 3(x+y)+ 2(xn+yn) = 3(x+y) +2(xn+yn), works out fine -------------------------- T(kx,ky) = k T(x,y) 3kx+2ky = k (3x+2y) k(3x+2y) = k (3x+2y) works fine too so a is linear
ill look at it
hmmm, it gives you a hint ... my idea was dealing with matrixes.
im still thinking on a good approach, the hint doesnt do much in my mind ....
If I multiply f(0, 1) = (3, 2, 1) with 2 as the hits says, and f(1, 1) = (−1, 0, 1) with 3. And combine them together (subtract them) I will get: f(3, 1) = (-9, -4, 1)
And now, I should use 3 and 1 to somehow get 5 and -9, and 0 and -4, and -2 and 1. Which seems very confusing. f(3, 1) = (5, 0, −2) f(3, 1) = (-9, -4, 1)
\[\begin{pmatrix}v_1&u_1\\v_2&u_2\\v_3&u_3 \end{pmatrix} \begin{pmatrix}x_1\\x_2\end{pmatrix}=\begin{pmatrix}b_1\\b_2\\b_3 \end{pmatrix}\]
we can setup 3 equations for each row and try to solve the system. was my idea
Can you give me an example how would you construct an equation from one of those? (because they are vectors)
Or if (3, 1) = 3(1, 1) − 2(0, 1) Than (5, 0, −2) should be equal to 3 (−1, 0, 1) - 2 (3, 2, 1) ? And if it is, I proved it! I guess? :D
0a+1b=3 0c+1d=2 0e+1f=1 1a+1b=-1 1c+1d=0 1e+1f=1 3a+1b=5 3c+1d=0 3e+1f=-2 solving for a b rref{{0,1,3},{1,1,-1},{3,1,5}}
Okay, I see where you're going, I'll try to solve them.
it was a thought, but i dont think itll pan out that well.
the transform will look like some contrived thing as: T(x,y)=(x^2+2, xy^2+2y, 2x) something like this but this is just a random jotting for descriptive purposes
The solutions I got to the equations above, does not match. As we had 9 equations and 6 unknowns. Does that mean the map is not linear?
Because I got a=-4 b=3 c=-2 d=2 e=0 f=1 And when I use those values in third set of equations I'm not getting 5,0,-2, instead, I am getting -9,-4,1 which is actually in part b of this question. So there is a linear map for part b, but not for part a.
It doesn't look like the best way to do it, but it perfectly makes sense (and does the job I guess)?
it means that the mapping we chose is not linear for 'a' ... which is not the same as not having a linear map
but at least it works in b :)
How is that? Shouldn't it be linear for every value?
f and g are 2 different objects, the mapping on g does not imply that it has to perform the same for f
Yeah, but the values for first two equations are the same, so I will get same solutions for a,b,c,d,e and f for both function f and g.
all that means is the f and g converge for part of their existence.
|dw:1447024602721:dw|
Join our real-time social learning platform and learn together with your friends!