Row Operation to Clear First Column of Matrix/Examples/Arbitrary Matrix 3

Example of Use of Row Operation to Clear First Column of Matrix
Let $\mathbf A$ be the matrix:


 * $\mathbf A = \begin {pmatrix} 0 & 4 & 7 & 10 \\ 2 & 5 & 8 & 11 \\ 3 & 6 & 9 & 12 \end {pmatrix}$

The matrix $\mathbf R$ corresponding to the row operation to clear the first column is:


 * $\mathbf R = \begin {pmatrix} 0 & \dfrac 1 2 & 0 \\ 1 & 0 & 0 \\ 0 & -\dfrac 3 2 & 1 \end {pmatrix}$

and the matrix $\mathbf B$ which results from the row operation $\mathbf R$ is:


 * $\mathbf B = \begin {pmatrix} 1 & \dfrac 5 2 & 4 & \dfrac {11} 2 \\ 0 & 4 & 7 & 10 \\ 0 & -\dfrac 3 2 & -3 & -\dfrac 9 2 \end {pmatrix}$

Proof
We use Row Operation to Clear First Column of Matrix as follows:


 * $(1): \quad$ Apply the elementary row operation $r_1 \leftrightarrow r_2$ to exchange row $1$ with row $2$.

From Elementary Matrix corresponding to Elementary Row Operation: Exchange Rows, this is accomplished by multiplying by the matrix:


 * $\mathbf E_1 := \begin {pmatrix} 0 & 1 & 0 \\ 1 & 0 & 0 \\ 0 & 0 & 1 \end {pmatrix}$

which converts $\mathbf A$ to $\mathbf A_1$ as follows:


 * $(2): \quad$ Apply the elementary row operation $r_1 \to \dfrac 1 2 r_1$ to exchange row $1$ with row $2$.

From Elementary Matrix corresponding to Elementary Row Operation: Scale Row, this is accomplished by multiplying by the matrix:


 * $\mathbf E_2 := \begin {pmatrix} \dfrac 1 2 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end {pmatrix}$

which converts $\mathbf A_1$ to $\mathbf A_2$ as follows:

We calculate $\mathbf E_2 \mathbf E_1$:


 * $(3): \quad$ Apply the elementary row operation $r_3 \to r_3 + \paren {-3} r_1$ to add $-3$ times row $1$ to row $3$.

From Elementary Matrix corresponding to Elementary Row Operation: Scale Row and Add, this is accomplished by multiplying by the matrix:


 * $\mathbf E_3 := \begin {pmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ -3 & 0 & 1 \end {pmatrix}$

which converts $\mathbf A_2$ to $\mathbf A_3$ as follows:

The matrix is in the correct form, and so:
 * $\mathbf B = \mathbf A_3$

Hence we can calculate $\mathbf R$: