2. INVERSSION OF MATRIX :
Let us consider we have a matrix [A] & we have to find the inverse of that matrix
. Let [x] be the inverse of matrix [A].
we know that : A ∗ 𝐴−1 = [𝐼]
now : [A]*[X]=[I] as we considered that : [X]= 𝐴−1
Then we convert the system into an augmented matrix
in the form of [A|I ].
then we have to use elementary row operation on the
augmented matrix to get upper triangular matrix by using
Gauss Elimination Method.
3. After that using : [A]*[X]=[I]
the relation we have to find the elements of [X] ; which is our required answer .
For example we take a matrix and try to find it’s inverse :
A =
2 −2 4
2 3 2
−1 4 −1
consider the augmented matrix is :
2 −2 4
2 3 2
−1 4 −1
: 1 0 0
: 0 1 0
: 0 0 1
=
2 −2 4
0 5 −2
0 3 1
: 1 0 0
: −1 1 0
: (
1
2
) 0 1
[using 𝑅′2 = 𝑅2 −
2
2
∗ 𝑅1; 𝑅′
3 = 𝑅3 − (
1
2
)𝑅1]
4. =
2 −2 4
0 5 −2
0 0 (
11
5
)
: 1 0 0
: −1 1 0
: (
11
10
) −(
3
5
) 1
[using 𝑅′′3 = 𝑅3 −
3
5
∗ 𝑅2]
The inverse matrix is given as : X=
𝑥11 𝑥12 𝑥13
𝑥21 𝑥22 𝑥23
𝑥31 𝑥32 𝑥33
Thus we have an equivalent system of three equation :
2 −2 4
0 5 −2
0 0 (
11
5
)
*
𝑥11
𝑥21
𝑥31
=
1
−1
(
11
10
)
which gives :2𝑥 − 2𝑦 + 4𝑧 = 1;
5𝑦 − 2𝑧 = −1;
11
5
∗ 𝑧 = (
11
10
)
Solving by back substitution method we get ;
𝑥 = −
1
2
; 𝑦 = 0; 𝑧 = (
1
2
)