Let T be a linearly transformation defines by T(x,y,z)=(x+y+z;x-y-3z;-x+y+3z) find a basis for image(T) and a kernel(T)
ok lets start with the representation of the transformation as a matrix
1 1 1 1 -1 -3 -1 1 3
agree?
yes
now for the kernel we have to solve 1 1 1 | 0 1 -1 -3 | 0 -1 1 3 | 0
yes
so what vectors did you get ?
x=z and y=-2z
1,-2,1
for example right ?
how did u do that
ok if you got x=z and y = -2z lets call z = t so we have x = t y = -2t z = t so the vector representation of this is : t(1,-2,1) taking t = 1 (we can take any value we want) will give us (1,-2,1)
and it is a valid basis for our kernel
ok
now for the Image what ive learned to do is to apply the transformation on the vectors of the standard basis so for example : apply T on (1,0,0) we will get : (1,1,-1) apply T on (0,1,0) we will get ( 1,-1,1) since we know that the basis of the image should have only 2 vectors and we got here two independent vectors they are a valid basis for the image
is the part i want to know of standard basis are we always using them
well i guess.. soon you will learn about representation of linear transformations on different basis but for finding the image i guess you do it this way
i always did it this way
wat if is in R4 or any Rn where n is any number but not 3
so your standard basis would look like (1,0,0,0) (0,1,0,0) ... (for R4)
ok u can continue with question
i think we done ? we found a basis for kernel and image
wat about (0,0,1)
we can check for it but it will be FOR SURE linear dependent on the two others
so are u sure about (1,0,0) and (0,1,0)
i know it using the rank–nullity theorem .. dim(Im) + dim(Ker) = dim(V)
(1,0,0) and (0,1,0) -> it is not basis for ker nor for im
image basis : (1,1,-1),( 1,-1,1) ker basis : (1,-2,1)
ok
i used (1,0,0) and (0,1,0) in order to find the basis of the image
oh thanx now i understand
Join our real-time social learning platform and learn together with your friends!