Why does Augmented Matrix let us to ditch the variables (e.g. x, y, z, ...)?

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Say we have e.g. the system of linear equations:

$$\begin{bmatrix} 1&0&1\\0&-1&0\\1&0&1\end{bmatrix} \begin{bmatrix}x\\y\\z\end{bmatrix}=\begin{bmatrix}1\\2\\3\end{bmatrix}$$

Why does Augmented Matrix let us ditch \begin{bmatrix}x\\y\\z\end{bmatrix} in order to get:

$$ \left[ \begin{array}{ccc|c} 1&0&1&1\\ 0&-1&0&2\\ 1&0&1&3 \end{array} \right] $$
Does this hold for non-linear systems of equations as well?

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You don't need to write the name of the variable any more as in the matrix each row represents the coefficient of the variables. So if you can reduce a row to only one single 1 and all other entries of the row to 0. then basically you get the value of the corresponding variable on the right hand side.

For example: as you got the 2nd entry in the 2md row to be -1 you can directly say that the value of y is -2.