Square Matrix is Row Equivalent to Triangular Matrix/Proof 1

Theorem
Let $\mathbf A = \left[{a}\right]_n$ be a square matrix of order $n$ over a commutative ring $R$.

Then $\mathbf A$ can be converted to an upper or lower triangular matrix by elementary row operations.

Proof
Let $\mathbf A$ be a square matrix of order $n$.

We proceed by induction on $n$, the number of rows of $\mathbf A$.

Basis for the Induction
For $n = 1$, we have a matrix of just one element, which is trivially diagonal, hence both upper and lower triangular.

This is the basis for the induction.

Induction Hypothesis
Fix $n \in \N$, and assume all $n \times n$-matrices can be upper triangularised by elementary row operations.

If $R$ is a field, assume all $n \times n$-matrices can be upper triangularised by elementary row operations of type 2.

This forms our induction hypothesis.

Induction Step
Let $\mathbf A = \left[{a}\right]_{n+1}$ be a square matrix of order $n + 1$.

When the first column of $\mathbf A$ contains only zeroes, it is upper triangularisable iff the submatrix $\mathbf A \left({1; 1}\right)$ is.

Each elementary row operation used in triangularisation process of the submatrix $\mathbf A \left({1; 1}\right)$ will not change the zeros of the first column of $\mathbf A$.

So when $\mathbf A \left({1; 1}\right)$ is upper triangularised, then $A$ will also be upper triangularised.

From the induction hypothesis, we conclude that $\mathbf A$ can be upper triangularised by elementary row operations.

Now suppose that its first column contains a non-zero value.

Suppose that $a_{11} = 0$.

Let $j$ be the smallest row index such that $a_{j1} \ne 0$, and note that $j$ exists by assumption.

Now apply the following operation of type 2:


 * $r_1 \to r_1 + r_j$

As $a_{j1} \ne 0$, this enforces $a_{11} \ne 0$, and we continue as in the case below.

Suppose $a_{11} \ne 0$.

We use the following operations for all $j \in \left\{{2, \ldots, n+1}\right\}$:


 * $(1): \quad$ Put $c = a_{j1}$.


 * $(2): \quad r_j \to a_{11} r_j$


 * $(3): \quad r_j \to r_j -c r_1$

This will put the first column to zero (except for the first element, $a_{11}$).

It follows that $\mathbf A$ can be upper triangularised precisely when the submatrix $\mathbf A \left({1; 1}\right)$ can.

Again, the induction hypothesis renders $\mathbf A$ upper triangularisable by elementary row operations.

This completes the case distinction, and hence the result follows by induction.

To put the matrix $\mathbf A$ into lower triangular form, just do the same thing, but start with the last column and the last diagonal element $a_{n+1\;n+1}$.