We have matrix A =\(\begin{bmatrix} 2& -3 & 5 \\[0.3em] 3 & 2 & -4 \\[0.3em] 1 & 1 & -2 \end{bmatrix}\).
Now, determinant of matrix A is \(\begin{bmatrix} 2& -3 & 5 \\[0.3em] 3 & 2 & -4 \\[0.3em] 1 & 1 & -2 \end{bmatrix}\) = 2 \(\begin{vmatrix} 2& -4 \\[0.3em] 1 & -2 \end{vmatrix}\) - (-3) \(\begin{vmatrix} 3& -4 \\[0.3em] 1 & -2 \end{vmatrix}\) + 5\(\begin{vmatrix} 3& 2 \\[0.3em] 1 &1 \end{vmatrix}\)
= 2(−4 + 4) + 3(−6 + 4) + 5(3 − 2) = 2 × 0 + 3 × −2 + 5 × 1 = 0 − 6 + 5 = −1.
(By expanding determinant along row R1 and \(\begin{vmatrix} a& b \\[0.3em] c &d \end{vmatrix}\) = ad - bc)
Hence, |A| = −1 ≠ 0. i.e., the inverse of matrix exists.
We know that the cofactor of element aij of matrix A is given by Aij= (−1)i+j Mij, where Mij is minor of element aij of matrix A.
Now, the cofactor of element a11 is A11 = (−1)1+1 \(\begin{vmatrix} 2& -4 \\[0.3em] 1 &-2 \end{vmatrix}\) = (−4 + 4) = 0,
The cofactor of element a12 is A12 = (−1)1+2 \(\begin{vmatrix} 3& -4 \\[0.3em] 1 &-2 \end{vmatrix}\) = −(−6 + 4) = −(−2) = 2,
The cofactor of element a13 is A13 = (−1)1+3 \(\begin{vmatrix} 3& 2 \\[0.3em] 1 &1 \end{vmatrix}\) = (3 − 2) = 1,
The cofactor of element a21 is A21 = (−1) 2+1 \(\begin{vmatrix} -3& 5 \\[0.3em] 1 &-2 \end{vmatrix}\) = −(6 − 5) = −1,
The cofactor of element a22 is A22 = (−1)2+2 \(\begin{vmatrix} 2& 5 \\[0.3em] 1 &-2 \end{vmatrix}\) = (−4 − 5) = −9,
The cofactor of element a23 is A23 = (−1)2+3 \(\begin{vmatrix} 2& -3 \\[0.3em] 1 &1 \end{vmatrix}\) = −(2 + 3) = −5,
The cofactor of element a31 is A31 = (−1)3+1 \(\begin{vmatrix} -3& 5 \\[0.3em] 2 &-4 \end{vmatrix}\) = (12 − 10) = 2,
The cofactor of element a32 is A32 = (−1)3+2 \(\begin{vmatrix} 2& 5 \\[0.3em] 3 &-4 \end{vmatrix}\) = −(−8 − 15) = −(−23) = 23,
The cofactor of element a33 is A33 = (−1)3+3 \(\begin{vmatrix}2& -3 \\[0.3em] 3 & 2 \end{vmatrix}\) = (4 + 9) = 13.
Therefore, the cofactor matrix of matrix A is \(\begin{bmatrix} 0& 2 & 1 \\[0.3em] -1 & -9 & -5 \\[0.3em] 2 &23 & 13 \end{bmatrix}\)
Now, the adjoint of matrix which is the transpose of cofactor matrix of matrix A
Therefore, adj A = \(\begin{bmatrix} 0& 2 & 1 \\[0.3em] -1 & -9 & -5 \\[0.3em] 2 &23 & 13 \end{bmatrix}'\) = \(\begin{bmatrix} 0& -1 & 2 \\[0.3em] 2 & -9 &23 \\[0.3em] 1 &-5 & 13 \end{bmatrix}\).
Therefore, the inverse matrix of matrix A is A−1 \(\frac{adj A}{|A|}\) = \(\frac{1}{-1}\)\(\begin{bmatrix} 0& -1 & 2 \\[0.3em] 2 & -9 &23 \\[0.3em] 1 &-5 & 13 \end{bmatrix}\) = \(\begin{bmatrix} 0& 1 & -2 \\[0.3em] -2 & 9 &-23 \\[0.3em] -1 &5 & -13 \end{bmatrix}\)
Now, given system of equations are
2x − 3y + 5z = 11
3x + 2y − 4z = −5
And x + y − 2z = −3.
The matrix form of given system of equations is AX = b, where A = \(\begin{bmatrix} 2& -3 & 5 \\[0.3em] 3 & 2 & -4 \\[0.3em] 1 & 1 & -2 \end{bmatrix}\), X = \(\begin{bmatrix} x \\[0.3em] y \\[0.3em] z \end{bmatrix}\)and b = \(\begin{bmatrix} 11 \\[0.3em] -5 \\[0.3em] -3 \end{bmatrix}.\)
Since, AX= b ⇒ X = A−1 b = \(\begin{bmatrix} 0& 1 & -2 \\[0.3em] -2 & 9 &-23 \\[0.3em] -1 &5 & -13 \end{bmatrix}\)\(\begin{bmatrix} 11 \\[0.3em] -5 \\[0.3em] -3 \end{bmatrix}\)
\(\begin{bmatrix} 0& -5 +6 \\[0.3em] -22 & -45 +69 \\[0.3em] -11&-25+69 \end{bmatrix}\) = \(\begin{bmatrix} 1 \\[0.3em] 2 \\[0.3em] 3 \end{bmatrix}\)
Hence, X = \(\begin{bmatrix} x \\[0.3em] y \\[0.3em] z \end{bmatrix}\) = \(\begin{bmatrix} 1 \\[0.3em] 2 \\[0.3em] 3 \end{bmatrix}\)
Hence, the solution of given system of equations is x =1, y = 2 and z = 3.