If we reduce A to reduced echelon form, the leading entries are in the pivot positions of A.
It turns out that we can locate the pivot positions by reducing A to echelon form only. The entries in these positions are called pivots, while the columns they appear in are called pivot columns.
For example, the matrix
| 3 | -7 | 8 | -5 | 8 | 9 |
| 3 | -9 | 12 | -9 | 6 | 15 |
| 0 | 3 | -6 | 6 | 4 | 5 |
is row equivalent to
| 3 | -9 | 12 | -9 | 0 | -9 |
| 0 | 2 | -4 | 4 | 0 | -14 |
| 0 | 0 | 0 | 0 | 1 | 4 |
and so we know that the pivot positions are those containing red numbers. Also, the first, second and fifth columns are pivot columns.