Elementary operations of matrices are fundamental techniques used to simplify matrices and solve systems of linear equations efficiently. These operations include row and column transformations such as swapping rows, multiplying a row by a scalar, and adding a multiple of one row to another. Known as elementary row operations, they are essential tools in linear algebra for matrix reduction, finding inverses, and solving equations using methods like Gauss and Gauss-Jordan elimination. Mastery of these operations is crucial in both academics and real-world applications.
Elementary operations on matrices are operations that allow you to manipulate rows (or columns) of a matrix without changing its solution set (if used to solve linear equations). These operations help transform a matrix into a simpler form — typically row-echelon form or reduced row-echelon form.
There are three types of elementary row operations:
Swap two rows of the matrix.
Example:
Multiply a row by a non-zero scalar k.
Example:
Add a multiple of one row to another.
Example:
These operations are reversible and preserve the solution of the system when applied to the augmented matrix of a linear system.
Elementary row operations are typically used in:
Steps:
Elementary Row Operations to Transform the Matrix (Example)
Given matrix:
We want to transform it to row-echelon form:
Step 1: Make leading 1 in row 1
Step 2: Eliminate below pivot using
Matrix is now in row-echelon form using elementary row operations.
Example 1: If . Find the inverse of A using elementary row operations.
Solution:
Form an augmented matrix [A | I]:
Step 1:
Step 2: Swap
Step 3:
Step 4:
So,
Example 2: Reduce the matrix to row echelon form.
Solution:
Apply :
This is the row echelon form.
Example 3: If . Use elementary operations to find the rank of matrix A.
Solution:
Use row operations to reduce to echelon form:
Final row-echelon form (after simplification):
Since all rows are non-zero, Rank = 3.
Example 3: Use elementary row operations to find the inverse of
Solution:
Form the augmented matrix [A | I]:
Step 1:
Step 2:
Step 3:
So,
Example 4: Reduce the matrix to row echelon form
Solution:
Step 1:
Step 2:
Step 3:
This is the row echelon form.
Example 5: Find the rank using elementary row operations
Solution:
Step 1:
Step 2:
Only 2 non-zero rows, so Rank = 2.
Example 6: Check if the matrix is invertible using row operations
Notice:
Or via row operation:
Since the matrix cannot be reduced to identity, it's non-invertible.
Example 7: Use elementary operations to transform into the identity matrix.
Solution:
Augment with identity:
Step 1:
Step 2:
Thus,
Q1. How many types of elementary operations exist?
Ans: There are three:
(Session 2025 - 26)