Pivots and Echelon Form
The Essentials
A pivot is the first non-zero entry in each row in a matrix. Row echelon form is when every number below a pivot is zero, and the pivots move down and to the right, with the all zero rows on the bottom. The following is an example of a matrix in echelon form:
A matrix in echelon form is in reduced echelon form if each of the pivots has a value of 1 and the components above the pivots are 0 in addition to the ones below the pivots. This is an example of a matrix in reduced row echelon form:
Note that each matrix can reduce differently to echelon form, but every matrix has a unique reduced echelon form. For a linearly independent square matrix, the reduced echelon form is the identity matrix of the appropriate size.
Example
Reduce this matrix to reduced echelon form:
\( R_2=R_2-2R_1 \)
\( R_2 \longleftrightarrow R_3 \)
\( R_3=R_3-2R_2 \)
At this point the matrix is in row echelon form.
\( R_2=5R_2 \)
\( R_3=3R_3 \)
\( R_2=R_2+R_3 \)
\( R_2=-R_2/5 \)
\( R_3=-R_3/15 \)
\( R_1=R_1-R_2 \)
Which is in reduced row echelon form.
Practice
Reduce this matrix to reduced row echelon form: