Row Reduction
A system of equations can be solved more easily using linear algebra.
The Essentials
Three row operations exist to reduce a matrix: scaling rows, swapping rows, and adding rows to other rows. Systems of equations can be solved by converting the equations into a matrix and using row operations to reduce the matrix to triangular form.
Example
Consider this system of equations:
This system of equations can be represented by an augmented matrix:
Now we can do row operations:
\( R_1=R_1-3R_2 \)
\( R_3=R_3-2R_2 \)
\( R_4=R_4-R_2 \)
\( R_3=R_3-R_1 \)
\( R_4=7R_4 \)
\( R_4=R_4-2R_1 \)
\( R_1\leftrightarrow R_2 \)
\( R_4=3R_4 \)
\( R_4 = R_4 + 11R_3 \)
Now that the matrix is in triangular form, we can convert the matrix back into a system of equations:
Starting from the bottom and working our way up, we can find each variable in the equation:
Practice
Solve this system of equations using row operations: