Can someone explain to me what he is doing here, transformation matrices, weee

In summary, the author explains how to find i and j using transformations. He starts with writing i= [1 2] - 2(2/3[1 2] - 1/3[2 1]) and then he says that i= -1/3[1 2] + 2/3[2 1] which isn't what we had above.
  • #1
mr_coffee
1,629
1
Hello everyone, i posted 2 pictures, they are the same problem, just couldn't fit it.
http://img222.imageshack.us/img222/1227/lastscan5vx.jpg
http://img222.imageshack.us/img222/1681/lastscan29fm.jpg

I don't understand the majority of the steps, like hwy does he multiply
2*[1 2] - [2 1] = 3j?
also
he then says
j = 2/3[ 1 2] - 1/3[2 1] ?
this one really doesn't make sense:
i = [1 2] - 2(2/3*[1 2] - 1/3[2 1])
The examples in the book are easy and i understand then, they always had either i given to u or j given to you. like
T[ 1 0] = [2 -3] but this one doesn't give u anything so i know u have to manipulate the matrices to get the standard, i = [1 0] j = [0 1] but I'm confused on his logic behind it, can someone explain to me why he did what he did'? thanks!
 
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  • #2
mr_coffee said:
Hello everyone, i posted 2 pictures, they are the same problem, just couldn't fit it.
http://img222.imageshack.us/img222/1227/lastscan5vx.jpg
http://img222.imageshack.us/img222/1681/lastscan29fm.jpg
I don't understand the majority of the steps, like hwy does he multiply
2*[1 2] - [2 1] = 3j?
He has already said that i= [1 0] and j= [0 1]. [a b]= [a 0]+ [0 b]= a[1 0]+ b[0 1]= ai+ bj. 2*[1 2]- [2 1]= [2 4]- [2 1]= [2- 2 4- 1]= [0 3] which is just another way of writing 0i+ 3j= 3j.
also
he then says
j = 2/3[ 1 2] - 1/3[2 1] ?
(2/3)[1 2]- (1/3)[2 1]= [2/3 4/3]- [2/3 1/3]= [2/3- 2/3 4/3- 1/3]=
[0 1]= 0i+ 0j
this one really doesn't make sense:
i = [1 2] - 2((2/3)[1 2]- (1/3)[2 1])
We've already established that (2/3)[1 2]- (1/3)[2 1]= [0 1] so
[1 2]- 2((2/3)[1 2]- (1/3)[2 1])= [1 2]- [0 2]= [1-0 2- 2]= [1 0] which is the same as i.
The examples in the book are easy and i understand then, they always had either i given to u or j given to you. like
T[ 1 0] = [2 -3] but this one doesn't give u anything so i know u have to manipulate the matrices to get the standard, i = [1 0] j = [0 1] but I'm confused on his logic behind it, can someone explain to me why he did what he did'? thanks!
One more time, i is just a short way of writing [1 0], j is just a short way of writing [0 1]. "ai+ bj" is a short way of writing [a b].
 
Last edited by a moderator:
  • #3
Thank you so much Ivy, that made a lot more sense, I worked through it again and I'm stuck on this part, I understand all the steps to get to 3j; or [0 3] = 0i + 3j = 3j;
But then we go into another series of calculations to get it to [0 1] which is just j. Was the point of finding 3j first, so you could perform the following calculation?
2/3[1 2] - 1/3[2 1]? since u found 3j, u know u can get [0 1] by multplying by 1/3? so is that why u have the -1/3? And ur multpying 2/3 by [1 2] because ur trying to get a 0 on top and a 1 on the bottom right? so u get [0 1] which is ur j. Is my reasoning right? Thanks again!

I just added to this post, i think i get the top part, but this one really doesn't make sense:
he writes:
i = -1/3[1 2] + 2/3[2 1] = [1 0] yes i see that it equal i, but how does that relate to all the work we just did above to find i and j? Because we orginally wrote to find i, we had i = [1 2] - 2(2/3[1 2] - 1/3[2 1]) = [1 0] = i; but then he writes:
i = -1/3[1 2] + 2/3[2 1] which isn't what we had above?
 
Last edited:
  • #4
Wow, 2 hours of working through examples and i finally figured out what's going on with transformations! thanks for the help you were telling me the right way, it was just going in and my brain was like f it. :)
 

FAQ: Can someone explain to me what he is doing here, transformation matrices, weee

What is a transformation matrix?

A transformation matrix is a mathematical tool used in linear algebra to represent transformations of geometric objects in a coordinate system. It is a square matrix that contains information about the rotation, scaling, and shearing of an object.

How is a transformation matrix used?

A transformation matrix is typically used to transform a point or set of points in one coordinate system to a new coordinate system. It can also be used to combine multiple transformations into one matrix, making it easier to apply the transformations to an object.

What does "weee" mean in relation to transformation matrices?

"Weee" is not a term commonly used in relation to transformation matrices. It is possible that it is being used as an acronym for a specific type of transformation matrix, but without further context it is difficult to accurately answer this question.

Can someone explain how to create a transformation matrix?

To create a transformation matrix, you must first determine the type of transformation you want to perform (e.g. rotation, translation, etc.) and the specific parameters of that transformation (e.g. angle of rotation, distance of translation). You can then use these parameters to fill in the appropriate values in a transformation matrix template, depending on the specific type of transformation being performed.

How is a transformation matrix different from other types of matrices?

A transformation matrix is different from other types of matrices in that it is specifically used to represent geometric transformations in a coordinate system. Other matrices may be used for different purposes, such as solving systems of linear equations or representing data sets.

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