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I'm trying to understand why is the following statement is true.

$\newcommand\V[3]{\begin{bmatrix}#1\\ #2\\ #3\end{bmatrix}}$ If $T\V100 = \V{a_1}{a_2}{a_3}$, $T\V110 = \V{b_1}{b_2}{b_3}$, and $T\V101 = \V{c_1}{c_2}{c_3}$, then $A = \begin{bmatrix}a_1 & b_1-a_1 & c_1-a_1 \\ a_2 & b_2-a_2 & c_2-a_2 \\ a_3 & b_3-a_3 & c_3-a_3\end{bmatrix}$.

Can someone help me please?

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It's not true. Did you mean $T$ instead of $A$? –  Hurkyl Oct 29 '12 at 8:07
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@Hurkyl I think the statement is fine (assuming $A$ is the standard matrix of $T$). –  EuYu Oct 29 '12 at 8:08
    
@EuYu Yeah but why? –  SyndicatorBBB Oct 29 '12 at 8:09

2 Answers 2

up vote 0 down vote accepted

Remember the key fact that if $A$ is a matrix, then $A\mathbf{e_i}$ extracts the $i$th column of $A$, where $\mathbf{e_i}$ is the $i$th standard basis vector.

If we let $A$ denote the standard matrix of the mapping $T$, then $A\mathbf{e_i} = T(\mathbf{e_i})$. What can you then say about the columns of $A$?

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They span ImT.. –  SyndicatorBBB Oct 29 '12 at 8:13
    
You can say a lot more than that. –  EuYu Oct 29 '12 at 8:19
    
Yeah they are also linear independence. –  SyndicatorBBB Oct 29 '12 at 8:27
    
@Guy You can't conclude that they're linearly independent. The $i$th column of $A$ is precisely the image of $\mathbf{e_i}$ under $T$. There is nothing constraining the images of the standard basis vectors to be linearly independent. –  EuYu Oct 29 '12 at 8:28
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I was only looking for the fact that the columns of $A$ are the images of the standard basis vectors under $T$. After all, this is the fact that allows you to find the standard matrix given $T$. So if you can find what $T(\mathbf{e_i})$ is for each $i$, then you automatically have your $A$. –  EuYu Oct 29 '12 at 8:32

Because matrix $A$ is with respect to the canonical basis $\{(1,0,0),(0,1,0),(0,0,1)\}$. Notice to get $T(0,1,0)$, you need $T(1,1,0) - T(1,0,0) = (b_1,b_2,b_3) - (a_1,a_2,a_3) = (b_1 - a_1, b_2 - a_2, a_3 - b_3) = T(0,1,0)$. And this is your second column. Similarly, you obtain $T(0,0,1)$, which will be your third column.

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Very nicely put ! –  SyndicatorBBB Oct 29 '12 at 8:10
    
I accept both answers....Thank you! –  SyndicatorBBB Oct 29 '12 at 8:39

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