Row operations are key to solving systems of linear equations using matrices. There are three types of row operations you can perform:
- Swapping two rows.
- Multiplying a row by a non-zero scalar.
- Adding or subtracting the multiple of one row to/from another row.
These operations help in transforming the matrix into a row echelon form or even into a reduced row echelon form.
In our problem, we used row operations such as subtracting multiples of one row from another to simplify the augmented matrix. This helped in comparing rows to determine the condition under which the system is consistent.
By performing these operations, we can achieve a format where we can easily identify dependencies and therefore understand the relationship between variables in the system.