Is the R2 to R3 transformation given by T linear?

In summary: I think you mean "How does T act on a vector?" ... and the answer is you've already done that. You showed what T does to <1,1>, <2,2>, and <3,3>. The same thing happens when you do T(<x1,x2>).
  • #1
jreis
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0

Homework Statement


Consider the transformation T from ℝ2 to ℝ3 given by,

$$T\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} = x_1\begin{bmatrix} 1 \\ 2 \\ 3\end{bmatrix} + x_2\begin{bmatrix} 4 \\ 5 \\ 6\end{bmatrix}$$

Is this transformation linear? If so, find its matrix

Homework Equations


A transformation is not linear unless:
a. T(v+w) = T(v) + T(w)
b. T(kv) = kT(v)
for all vectors v and w and scalars k in R^m

The Attempt at a Solution


All I know right now are the two relevant equations that I posted, but I can't seem to find how to apply them here. I'm not sure how to work with all of these column vectors. Any help is appreciated
 
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  • #2
jreis said:

Homework Statement


Consider the transformation T from ℝ2 to ℝ3 given by,

T⎣x1,x2⎤ = x1 ⎣123⎦ + x2 ⎣456⎤

Note: |x1x2| |123| and |456| are all column vectors. I don't know how to write them on here.

Is this transformation linear? If so, find its matrix

Homework Equations


A transformation is not linear unless:
a. T(v+w) = T(v) + T(w)
b. T(kv) = kT(v)
for all vectors v and w and scalars k in R^m
For your problem, the vectors v and w are in R2.
jreis said:

The Attempt at a Solution


All I know right now are the two relevant equations that I posted, but I can't seem to find how to apply them here. I'm not sure how to work with all of these column vectors. Any help is appreciated

Start with a couple of arbitrary vectors v = <v1, v2> and w = <w1, w2>, and determine whether T(v + w) = T(v) + T(w). If these expressions aren't equal, you're done - T is not a linear transformation.
If they are equal, determine whether T(kv) = kT(v). If these aren't equal, T is not a linear transformation. If they are equal, then T is a linear transformation.

BTW, it's not too hard to use LaTeX to render vectors. Here's your defining equation for the transformation. Right-click anywhere in the expression to see the code that produced it.
$$ T\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} = x_1\begin{bmatrix} 1 \\ 2 \\ 3\end{bmatrix} + x_2\begin{bmatrix} 4 \\ 5 \\ 6\end{bmatrix} $$
 
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  • #3
So, if my vector v is <1,1> and w is <2,2>, my matrix should look like the below?

$$T\begin{bmatrix} 1 \ 2 \\ 1 \ 2 \end{bmatrix} = \begin{bmatrix} 1 \ 2 \end{bmatrix} \begin{bmatrix} 1 \\ 2 \\ 3\end{bmatrix} + \begin{bmatrix} 1 \ 2 \end{bmatrix} \begin{bmatrix} 4 \\ 5 \\ 6\end{bmatrix}$$

I'm still not sure even on the format. If this is right, does solving this simply yield T(v+w)= 1(1)+1(2)+1(3)+2(1)+2(2)+2(3) for the first part, and etc. ?
 
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  • #4
No, that's not it. T operates on vectors in R2, not matrices. The output is a vector in R3.

$$T\left(\begin{bmatrix} 1 \\ 1 \end{bmatrix} + \begin{bmatrix} 2 \\ 2 \end{bmatrix}\right)= T\left(\begin{bmatrix} 3 \\ 3 \end{bmatrix}\right)$$

What do you get for the above?
How does it compare to T(<1, 1>) + T(<2, 2>)?
 
  • #5
Mark44 said:
No, that's not it. T operates on vectors in R2, not matrices. The output is a vector in R3.

$$T\left(\begin{bmatrix} 1 \\ 1 \end{bmatrix} + \begin{bmatrix} 2 \\ 2 \end{bmatrix}\right)= T\left(\begin{bmatrix} 3 \\ 3 \end{bmatrix}\right)$$

What do you get for the above?
How does it compare to T(<1, 1>) + T(<2, 2>)?

I just don't understand how to multiply column vectors... and it doesn't seem right to me to multiply a column vector with 2 rows to one of 3. But I suppose you would get 1+2+3+1+2+3=12 for the first part, 2+4+6+2+4+6=24 for the second part?

EDIT: Okay, I think I'm starting to see what you mean. If I plug in T(3,3), then I get 3 times the column vector 1,2,3 plus 3 times the column vector 4,5,6 right? So 18+45?
 
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  • #6
jreis said:
I just don't understand how to multiply column vectors... and it doesn't seem right to me to multiply a column vector with 2 rows to one of 3. But I suppose you would get 1+2+3+1+2+3=12 for the first part, 2+4+6+2+4+6=24 for the second part?

EDIT: Okay, I think I'm starting to see what you mean. If I plug in T(3,3), then I get 3 times the column vector 1,2,3 plus 3 times the column vector 4,5,6 right? So 18+45?
You're partly right, but 18 + 45 is a number, and you should be getting a vector in R3.

You get this:
$$ 3\begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix} +3\begin{bmatrix}4 \\ 5 \\ 6 \end{bmatrix} $$

When you multiply each column vector by 3, and then add the two vectors together, what do you get?
 
  • #7
Ahh, so the vector would be <3+12,6+15,9+18> = <15,21,27> ? So then I plug in T(1,1) and T(2,2) to get two vectors, add them together, and see if they are equal to <15,21,27>?
 
  • #8
jreis said:
Ahh, so the vector would be <3+12,6+15,9+18> = <15,21,27> ? So then I plug in T(1,1) and T(2,2) to get two vectors, add them together, and see if they are equal to <15,21,27>?
Yes to both.
 
  • #9
T(1,1) = <5,7,9> T(2,2) = <10,14,18> and T(1,1)+T(2,2) = <15,21,27> = T(3,3). Okay, so now I have verified that the first equation is true. Now for the second, let's say I use the same vector v = <1,1>, and I'll let k = 4. T(4v) is now <20,28,36> and 4T(v) = <20,28,36>.

So the equation is infact linear?
 
  • #10
Well, maybe. You can't use specific vectors such as <1, 1> to show that the transformation is linear. The relationships have to hold for any choices of x = <x1, x2>T and y = <y1, y2>T, and any scalar k. (The T exponent means the transpose of the vectors, to indicate that they are column vectors rather than row vectors.)

The work that you were doing doesn't prove anything, but it has helped you understand how to evaluate T for a specific vector.

You need to show two things:
$$ T\left( \begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix}\right) = T\left( \begin{bmatrix} x_1 \\ x_2 \end{bmatrix} \right) + T\left( \begin{bmatrix} y_1 \\ y_2\end{bmatrix}\right)$$
and
$$ T\left( k\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} \right) = k T\left( \begin{bmatrix} x_1 \\ x_2 \end{bmatrix} \right)$$

These aren't actually very hard to show.
 
  • #11
Yes, I know this is what I need to show. I just don't know how to multiply <x1,x2> by a column vector...

Does [itex]T \left (\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix} \right ) = \begin{bmatrix} x_1 \ x_2 \\ 2x1 \ 2x2 \\ 3x1 \ 3x2 \end{bmatrix} + \begin{bmatrix} 4x1 \ 4y2 \\ 5y1 \ 5y2 \\ 6y1 \ 6y2\end{bmatrix} ?[/itex]
 
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  • #12
jreis said:
Yes, I know this is what I need to show. I just don't know how to multiply <x1,x2> by a column vector...
You shouldn't have to.

Start with the expression on the left side, below.
Add the two vectors - you should get a column vector with two entries. Then take the first entry (upper) and multiply <1, 2, 3>^T by it, as a scalar. Multiply the vector <4, 5, 6>^T by the second entry (lower), as a scalar. Then add the two resulting vectors together.
jreis said:
Does [itex]T \left (\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix} \right ) = \begin{bmatrix} x_1 \ x_2 \\ 2x1 \ 2x2 \\ 3x1 \ 3x2 \end{bmatrix} + \begin{bmatrix} 4x1 \ 4y2 \\ 5y1 \ 5y2 \\ 6y1 \ 6y2\end{bmatrix} ?[/itex]

The above with corrections:
$$T \left (\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix} \right ) = T\begin{bmatrix} x_1 + y_1 \\ x_2 + y_2 \end{bmatrix} =? $$
 
  • #13
The above with corrections:
$$T \left (\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix} \right ) = T\begin{bmatrix} x_1 + y_1 \\ x_2 + y_2 \end{bmatrix} =? $$

Is that equal to [itex] \left (\begin{bmatrix} 6x_1+6y_1 \end{bmatrix} + \begin{bmatrix} 15x_2+15y_2 \end{bmatrix}\right ) [/itex] ? and the final vector = <12, 30> ?
 
  • #14
Mark44 said:
You shouldn't have to.

Start with the expression on the left side, below.
Add the two vectors - you should get a column vector with two entries. Then take the first entry (upper) and multiply <1, 2, 3>^T by it, as a scalar. Multiply the vector <4, 5, 6>^T by the second entry (lower), as a scalar. Then add the two resulting vectors together.The above with corrections:
$$T \left (\begin{bmatrix} x_1 \\ x_2 \end{bmatrix} + \begin{bmatrix} y_1 \\ y_2\end{bmatrix} \right ) = T\begin{bmatrix} x_1 + y_1 \\ x_2 + y_2 \end{bmatrix} =? $$

jreis said:
Is that equal to [itex] \left (\begin{bmatrix} 6x_1+6y_1 \end{bmatrix} + \begin{bmatrix} 15x_2+15y_2 \end{bmatrix}\right ) [/itex] ? and the final vector = <12, 30> ?

No, not at all.
T is a map from R2 to R3. That means that the inputs are vectors in R2 and the outputs are vectors in R3.

You started to get the idea back in post #5, but it doesn't seem to have stuck. Take a look at the first part of your Edit in that post.

$$T\begin{bmatrix} x_1 + y_1\\ x_2 + y_2 \end{bmatrix} = ?\begin{bmatrix} 1 \\ 2 \\ 3\end{bmatrix} + ?\begin{bmatrix} 4 \\ 5 \\ 6\end{bmatrix}$$

What comes out of this is a single vector in R3, after you do the scalar multiplications and the vector addition. You do know how to do those, right?
 
  • #15
No, not in this form. That's what I've been trying to tell you. I don't know if the x1 and x2 both go where the first ? is, or the x1 and y1? And I'm not sure how to multiply a vector of two coordinates by three scalars...
 
  • #16
jreis said:
No, not in this form. That's what I've been trying to tell you. I don't know if the x1 and x2 both go where the first ? is, or the x1 and y1? And I'm not sure how to multiply a vector of two coordinates by three scalars...
The only multiplication going on here is the multiplication of a 3-element vector by a single scalar. There is absolutely no multiplication of vectors by vectors.

Let's go back to where you weren't confused.

What are each of these:
$$T\left( \begin{bmatrix} 1 \\ 2\end{bmatrix}\right)$$

$$T\left( \begin{bmatrix} 1 + 3 \\ 2 + 4\end{bmatrix}\right)$$

Note that 1 + 3 is a number (scalar), in exactly the same way as x1 + y1 is a number.
 
  • #17
Oh alright, I think I'm understanding now... So would T(x1+x2) = <5x1+5x2,7x1+7x2,9x1+9x2> ?
 
  • #18
jreis said:
Oh alright, I think I'm understanding now... So would T(x1+x2) = <5x1+5x2,7x1+7x2,9x1+9x2> ?
I don't think you do. T(x1 + x2) doesn't make any sense. T takes a vector in R2 (not a scalar such as x1 + x2) and maps it to a vector in R3.

See if you can figure out the two that I asked you to do in my previous post, and we can go from there.
 
  • #19
It's too late, this is due today. This is the one problem I couldn't answer and it's probably the easiest of them all. I appreciate your help, but it's a shame you guys can't just post the work and answer to the problem so I can learn from it
 
  • #20
I think I've figured it out anyway, (again). I hope this IS linear or else I'm still really really off in this process. But I just wasn't understanding the notations, I thought you literally had to multiply <x1, x2> by each column vector, not split it into its components..
 
  • #21
jreis said:
It's too late, this is due today. This is the one problem I couldn't answer and it's probably the easiest of them all. I appreciate your help, but it's a shame you guys can't just post the work and answer to the problem so I can learn from it
That's not how we do things here. We'll help you do the work, but we won't do it for you. People learn best by doing something, not by watching someone else do it.
 
  • #22
Mark44 said:
That's not how we do things here. We'll help you do the work, but we won't do it for you. People learn best by doing something, not by watching someone else do it.

I wouldn't generalize every person by saying that... Some people learn better through observation. Anyways, thanks.
 

1. What is the purpose of R2 to R3 transformation?

The purpose of R2 to R3 transformation is to convert data from a two-dimensional coordinate system (R2) to a three-dimensional coordinate system (R3). This can be useful in various fields such as computer graphics, physics, and engineering.

2. How does R2 to R3 transformation work?

R2 to R3 transformation involves multiplying each point in the original two-dimensional space by a transformation matrix, which then produces a corresponding point in the three-dimensional space. This matrix typically includes scaling, rotation, and translation operations.

3. What are some applications of R2 to R3 transformation?

R2 to R3 transformation has various applications in the fields of computer graphics, physics, and engineering. It is often used to create 3D models, simulate motion and forces in 3D environments, and map 2D images onto 3D surfaces.

4. What is the difference between R2 to R3 transformation and R3 to R2 transformation?

The main difference between R2 to R3 transformation and R3 to R2 transformation is the direction of the transformation. R2 to R3 transformation converts from a two-dimensional space to a three-dimensional space, while R3 to R2 transformation converts from a three-dimensional space to a two-dimensional space.

5. Are there any limitations or drawbacks to R2 to R3 transformation?

One limitation of R2 to R3 transformation is that it cannot accurately represent curves or surfaces that are not planar. Additionally, the transformation may result in distortion or loss of information if not done carefully. It is also important to note that R2 to R3 transformation does not create new information, but rather rearranges and transforms existing data from one coordinate system to another.

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