Suppose that T:R^3 --> R^3 is a linear transformation and we know that T(1,1,0)=(2,1,-1), T(0,1,2)=(1,0,2), T(2,1,3)=(4,0,1). Find T(3,2,-1)
How do I even start this question? This was in the section basis and all of a sudden it's about transformations..
Remember that linear transformations have the property T(av) = aT(v)
What you want to do is make (3,2-1) a linear combination of the basis vectors.
T(av) = aT(v) T(u + v) = T(u) + T(v)
Okay I don't really get like say T(1,1,0)=(2,1,-1), what does the numbers 1,1,0 represent and what does (2,1,-1) mean
is T(1,1,0) just like a vector V=(a,b,c)?
(1,1,0) is a vector in R^3
then what does (2,1,-1) mean?
T(1,1,0)=(2,1,-1) indicates that the linear transformation maps (1,1,0) to (2,1,-1)
Okay so would I do addition and subtraction with T(1,1,0) T(0,1,2) and T(2,1,3) until I get T(3,2,-1)?
Start by finding the linear combination of (1,1,0), (0,1,2) and (2,1,3) that yields (3,2,-1)
okay so to find linear combination I would rref and find the pivots and then get the equations?
You need to solve a system of equations. To do this you need to row reduce a matrix consisting of columns of those vectors.
okay so I put this in a matrix sorry just want to make sure it's correct, [1 0 2 3; 1 1 1 2; 0 2 3 -1]?
Row reduce this: \[\left[ \begin {array}{cccc} 1&0&2&3\\ 1&1&1&2 \\ 0&2&3&-1\end {array} \right] \]
\[\left[ \begin {array}{cccc} 1&0&0&{\frac {13}{5}} \\ 0&1&0&-\frac{4}{5}\\ 0&0&1&\frac{1}{5} \end {array} \right] \]
when you put it in matrix form in generally with v=(a,b,c) v_2=(d,e,f) etc. are the vectors always put in columns first? sometimes I do it rows..
yeah I got that too
This should be correct, check yourself if you like \[\frac{13}{5}\cdot (1, 1, 0) + -\frac{4}{5}\cdot(0, 1, 2) + \frac{1}{5}\cdot (2, 1, 3) = (3, 2, -1)\]
but why is the answer (26/5,13/5,-4)?
That's not the end of the problem. But I will explain in a moment
So we now have a linear combination that yields the vector we want to take the image of. The vector we want to transform.
\[T(3, 2, -1) = T\left(\frac{13}{5}\cdot (1, 1, 0) + -\frac{4}{5}\cdot(0, 1, 2) + \frac{1}{5}\cdot (2, 1, 3)\right)\]
Are you following this so far?
Yes I am except for the part where you got 13/5(1,1,0) + -4/5(0,1,2)..etc.
I see how it's from the matrix but I thought the last column would be like x_4 if you know what I mean
I will explain that at the end, lets continue
Okay
By linearity we know the following holds: \[\begin{eqnarray*} T(3, 2, -1) &=& T\left(\frac{13}{5}\cdot (1, 1, 0) + -\frac{4}{5}\cdot(0, 1, 2) + \frac{1}{5}\cdot (2, 1, 3)\right) \\ &=& T\left(\frac{13}{5}\cdot (1, 1, 0)\right) + T\left(-\frac{4}{5}\cdot(0, 1, 2)\right) + T\left(\frac{1}{5}\cdot (2, 1, 3)\right) \\ &=& \frac{13}{5}\cdot T\left( 1, 1, 0\right) +\left(-\frac{4}{5}\right) \cdot T\left(0, 1, 2\right) + \frac{1}{5}\cdot T\left(2, 1, 3\right) \end{eqnarray*}\]
Can you finish the problem now?
Yeah I think so you just take those scalars and multiply them to the corresponding vector? of the linear transformation
and then add them up. Just one last thing would this method work for T:R^3 and R^4?
they are in different dimensions nowT:R^3 --> R^4?
Its the same process. And now I will explain the origin of the "magic numbers". You are solving a system of equations. You've setup a matrix A consisting of a basis. You wish to find out a linear combination of that basis yielding a certain vector so you end up with. Ax = (3, 2, -1) And you are solving for x So what you were looking at before was an augmented matrix setup to solve the system of equations.
What! That make so much more sense so really it was Ax=(3,2,-1)?
Where A is \[\left[ \begin {array}{cccc} 1&0&2\\ 1&1&1 \\ 0&2&3\end {array} \right]\]
haha whoa thanks for your help it makes more sense now
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