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Chapter 2 Matrix Operations

Given a system of linear equations, say
\begin{align*} 3y+4z\amp=11\\ 3x-7y+4z\amp=4\\ 3x-9y+6z\amp= 6. \end{align*}
One can write it as matrix form \(A\mathbf{x}=\mathbf{b}\text{,}\)
\begin{equation*} \begin{pmatrix} 0 \amp 3 \amp 4 \\ 3 \amp -7 \amp 4\\ 3 \amp -9 \amp 6 \end{pmatrix}\begin{pmatrix} x\\ y\\ z \end{pmatrix}=\begin{pmatrix} 11\\ 4\\ 6 \end{pmatrix} \end{equation*}
Here is the procedure to solve the linear system.
  1. Augmented matrix.
    \begin{equation*} \begin{pmatrix} 0 \amp 3 \amp 4 \amp 11 \\ 3 \amp -7 \amp 4 \amp 4 \\ 3 \amp -9 \amp 6 \amp 6 \end{pmatrix} \end{equation*}
  2. the reduced echelon form, using rref.
Which can be interpret as the augmented matrix of another equivalent linear system, that is,
\begin{align*} x \amp \amp \amp \amp \amp=1\\ \amp \amp y\amp \amp\amp=1\\ \amp\amp \amp \amp z\amp= 2. \end{align*}