We consider the matrices below. \[ A=\left[\begin{array}{rrr} -2 & 7 & 1 \\ 3 & 4 & 1 \\ 8 & 1 & 5 \end{array}\right] \] and \[ B=\left[\begin{array}{rrr} 3 & 4 & 1 \\ -2 & 7 & 1 \\ 2 & -7 & 3 \end{array}\right] \] Find the elementary matrices \( E_{0} \) and \( E_{1} \) such that \[ B=E_{1} E_{0} A \] Then find matrices \( X \) and \( Y \) such that \[ A=(Y X) B \] Since \[ \begin{aligned} B & =\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =\left(E_{1} E_{0}\right)^{-1}\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =I_{3} A \end{aligned} \] Therefore \[ \left\{\begin{array}{r} E_{0}^{-1} E_{1}^{-1} B=A \\ Y X B=A \end{array}\right. \] By identification of terms in the above equation we obtain \[ Y=E_{0}^{-1} \text { and } X=E_{1}^{-1} \text { where } E_{1}=\left[\begin{array}{ccc} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1 \end{array}\right] \text { and } E_{0}=\left[\begin{array}{lll} 0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1 \end{array}\right] \] Thus \[ Y=\left[\begin{array}{rrr} 0 & -3 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1 \end{array}\right] \text { and } X=I_{3}-\left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ -2 & 0 & 1 \end{array}\right] \] Since \[ \begin{array}{l} \qquad B=\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B=\left(E_{1} E_{0}\right)^{-1}\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B=I_{3} A \\ \text { Therefore } \\ \left\{\begin{aligned} E_{0}^{-1} E_{1}^{-1} B=A \\ Y X B=A \end{aligned}\right. \end{array} \] Therefore \( \left\{\begin{aligned} E_{0}^{-1} E_{1}^{-1} B & =A \\ Y X B & =A\end{aligned}\right. \) By identification of terms in the above equation we obtain \( Y=E_{0}^{-1} \) and \( X=E_{1}^{-1} \) where \( E_{1}=\left[\begin{array}{lll}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1\end{array}\right] \) and \( E_{0}=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) Thus \( Y=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) and \( X=\left[\begin{array}{rrr}20 & 0 & 0 \\ 0 & 1 & 0 \\ -2 & 0 & 1\end{array}\right] \) S since \[ \begin{aligned} B & =\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =\left(E_{1} E_{0}\right)^{-1}\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =I_{3} A \end{aligned} \] Therefore \[ \left\{\begin{array}{r} E_{0}^{-1} E_{1}^{-1} B=A \\ Y X B=A \end{array}\right. \] By identification of terms in the above equation we obtain \( Y=E_{0}^{-1} \) and \( X=E_{1}^{-1} \) where \( E_{1}=\left[\begin{array}{lll}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1\end{array}\right] \) and \( E_{0}=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) Thus \( Y=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) and \( X=\left[\begin{array}{rrr}1 & 0 & 0 \\ 0 & 1 & 0 \\ -2 & 0 & 1\end{array}\right] \) Since \[ \begin{array}{l} \qquad \begin{aligned} B & =\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =\left(E_{1} E_{0}\right)^{-1}\left(E_{1} E_{0}\right) A \\ \Rightarrow\left(E_{1} E_{0}\right)^{-1} B & =I_{3} A \end{aligned} \\ \text { Therefore } \\ \left\{\begin{aligned} E_{0}^{-1} E_{1}^{-1} B & =A \\ Y X B & =A \end{aligned}\right. \end{array} \] By identification of terms in the above equation we obtain \( Y=E_{0}^{-1} \) and \( X=E_{1}^{-1} \) where \( E_{1}=\left[\begin{array}{ccc}1 & 0 & 0 \\ 0 & 1 & 0 \\ 2 & 0 & 1\end{array}\right] \) and \( E_{0}=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) Thus \( Y=\left[\begin{array}{lll}0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1\end{array}\right] \) and \( X=\left[\begin{array}{rrr}7 & 0 & 0 \\ 0 & 1 & 0 \\ -2 & 0 & 1\end{array}\right] \)
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Step 1
To do this, we need to perform elementary row operations on matrix A to obtain matrix B. Looking at the matrices A and B, we can see that the first and second rows of A need to be swapped to match the first two rows of B. This operation can be represented by Show moreβ¦
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