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Linear Algebra 19 Online
OpenStudy (chillout):

Last one, I promise! Question in next post.

OpenStudy (chillout):

Let A =\(\left[\begin{matrix}0 & 1 & 7 & 8 \\ 1 & 3 & 3 & 8 \\ -2 & -5 & 1 & -8 \end{matrix}\right]\) Write A in termos of A=EFGR, where R is in the row echelon form and E, F, G are elementary matrices. I've reduced to row echelon form and found that R = \(AE^{-1}F^{-1}G^{-1}\) but that's it. I cannot seem to remember elemetary matrices.

OpenStudy (chillout):

In this case, R = \(\left[\begin{matrix}1 & 3 & 3 & 8 \\ 0 & 1 & 7 & 8\\ 0 & 0 & 0 & 0\end{matrix}\right]\)

OpenStudy (chillout):

Sorry for mistypes. I'm kinda drowsy at the moment.

ganeshie8 (ganeshie8):

simply multupl GFE both sides ?

OpenStudy (chillout):

That's where I started the problem: \(A=REFG \leftrightarrow R =AE^{-1}F^{-1}G^{-1}\). But I need to find the elementary matrices and that's what I do not recall.

ganeshie8 (ganeshie8):

whats the first row operation that you have done ?

OpenStudy (chillout):

I've swapped L2 and L1

ganeshie8 (ganeshie8):

whats the corresponding elementary matrix ?

ganeshie8 (ganeshie8):

In other words, what matrix needs to be multiplied by A in order to swap L2 and L1 ?

OpenStudy (chillout):

\[\left[\begin{matrix}1 & 3 & 3 & 8 \\ 0 & 1 & 7 & 8 \\-2 & -5 & 1 & -8\end{matrix}\right]\]

OpenStudy (chillout):

That's the first operation I've done.

OpenStudy (kainui):

Careful, these two statements are really completely different: \( A=EFGR \) \(R = AE^{-1}F^{-1}G^{-1}\) Left and right multiplication are specific, so if you right multiply that second statement by \(GFE\) you get: \[A = R GFE \ne EFGR \]

OpenStudy (chillout):

Oh, right. I see what we are getting into...

OpenStudy (chillout):

Yeah, that was sloppy of me. My bad.

OpenStudy (chillout):

But I do get it now. It's the matrix that I have to multiply which gives the product after each operation

ganeshie8 (ganeshie8):

Below red matrix swaps first and second rows \[\left[\begin{matrix}1 & 3 & 3 & 8 \\ 0 & 1 & 7 & 8\\ 0 & 0 & 0 & 0\end{matrix}\right] = \color{red}{\left[\begin{matrix}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1 \end{matrix}\right]} \left[\begin{matrix}0 & 1 & 7 & 8 \\ 1 & 3 & 3 & 8 \\ -2 & -5 & 1 & -8 \end{matrix}\right]\]

OpenStudy (chillout):

All right, thats E. , then. Now for G this should be \(\left[\begin{matrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1 \end{matrix}\right]\)

OpenStudy (chillout):

I meant F.

ganeshie8 (ganeshie8):

are you doing 2*row1 + row3 ?

OpenStudy (chillout):

2R1+R3

ganeshie8 (ganeshie8):

\[\left[\begin{matrix}1 & 3 & 3 & 8 \\ 0 & 1 & 7 & 8\\ 0 & 1 & 7 & 8\end{matrix}\right] = \color{red}{\left[\begin{matrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1 \end{matrix}\right]} \color{red}{\left[\begin{matrix}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1 \end{matrix}\right]} \left[\begin{matrix}0 & 1 & 7 & 8 \\ 1 & 3 & 3 & 8 \\ -2 & -5 & 1 & -8 \end{matrix}\right]\]

OpenStudy (chillout):

Okay, seems right. For G I've managed to grab \(\left[\begin{matrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & -1 & 1 \end{matrix}\right]\)

OpenStudy (chillout):

Which is -R2 + R3.

ganeshie8 (ganeshie8):

looks good, so far you have : \[R=GFEA \]

OpenStudy (chillout):

They are all nonsingular, so now onto calculating the inverse matrices...

OpenStudy (chillout):

Is it? I thought I'd multiply the elments outside the main row by -1.

OpenStudy (chillout):

No, it doesn't work. Getting sloppy again.

OpenStudy (chillout):

Let me do it with the usual way

ganeshie8 (ganeshie8):

yeah it works only for the row swapping matrices 1) inverse of a row swapping matrix is itself

ganeshie8 (ganeshie8):

but finding other inverses should be trivial

ganeshie8 (ganeshie8):

\[\left[\begin{matrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1 \end{matrix}\right]^{-1} = \left[\begin{matrix}1 & 0 & 0 \\ 0 & 1 & 0 \\ -2 & 0 & 1 \end{matrix}\right]\]

OpenStudy (chillout):

Yeah, I'm slow writing in LaTeX but that's what I've found and the last one you just do a32=-a32

ganeshie8 (ganeshie8):

yeah

OpenStudy (chillout):

for \(a_{32} \in G\) that is.

OpenStudy (chillout):

I guess it finishes the question, then. Just plug in the inverse matrices and R and I'm done!

OpenStudy (chillout):

Thanks for the help!

ganeshie8 (ganeshie8):

Np :)

OpenStudy (chillout):

Might as well do a last problem before going to bed! Haha!

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