Step 1: Understanding the Concept
The inverse of a square matrix \(A\) is a matrix \(A^{-1}\) such that
\[ AA^{-1}=A^{-1}A=I, \]
where \(I\) is the identity matrix of the same order.
For the given matrix
\[ A= \begin{bmatrix} 0 & 2 & 4\\ 2 & 4 & 2\\ 3 & 3 & 1 \end{bmatrix}, \]
the inverse can be calculated using the adjugate formula:
\[ A^{-1}=\frac{1}{\det(A)}\operatorname{adj}(A). \]
A matrix has an inverse only when
\[ \det(A)\neq 0. \]
Step 2: Detailed Calculation
1. Calculate the determinant of \(A\)
Expanding along the first row:
\[ \begin{aligned} \det(A) &= 0 \begin{vmatrix} 4 & 2\\ 3 & 1 \end{vmatrix} - 2 \begin{vmatrix} 2 & 2\\ 3 & 1 \end{vmatrix} + 4 \begin{vmatrix} 2 & 4\\ 3 & 3 \end{vmatrix}. \end{aligned} \]
Now calculate the \(2\times2\) determinants:
\[ \begin{aligned} \det(A) &= 0 - 2\left[(2)(1)-(2)(3)\right] + 4\left[(2)(3)-(4)(3)\right]\\ &= -2(2-6)+4(6-12)\\ &= -2(-4)+4(-6)\\ &= 8-24\\ &=-16. \end{aligned} \]
Since
\[ \det(A)=-16\neq 0, \]
the inverse of \(A\) exists.
2. Find the cofactor matrix
The cofactors are:
\[ \begin{aligned} C_{11} &= \begin{vmatrix} 4 & 2\\ 3 & 1 \end{vmatrix} =4-6=-2,\\[4pt] C_{12} &= - \begin{vmatrix} 2 & 2\\ 3 & 1 \end{vmatrix} =-(2-6)=4,\\[4pt] C_{13} &= \begin{vmatrix} 2 & 4\\ 3 & 3 \end{vmatrix} =6-12=-6, \end{aligned} \] \[ \begin{aligned} C_{21} &= - \begin{vmatrix} 2 & 4\\ 3 & 1 \end{vmatrix} =-(2-12)=10,\\[4pt] C_{22} &= \begin{vmatrix} 0 & 4\\ 3 & 1 \end{vmatrix} =0-12=-12,\\[4pt] C_{23} &= - \begin{vmatrix} 0 & 2\\ 3 & 3 \end{vmatrix} =-(0-6)=6, \end{aligned} \] \[ \begin{aligned} C_{31} &= \begin{vmatrix} 2 & 4\\ 4 & 2 \end{vmatrix} =4-16=-12,\\[4pt] C_{32} &= - \begin{vmatrix} 0 & 4\\ 2 & 2 \end{vmatrix} =-(0-8)=8,\\[4pt] C_{33} &= \begin{vmatrix} 0 & 2\\ 2 & 4 \end{vmatrix} =0-4=-4. \end{aligned} \]
Therefore, the cofactor matrix is
\[ C= \begin{bmatrix} -2 & 4 & -6\\ 10 & -12 & 6\\ -12 & 8 & -4 \end{bmatrix}. \]
3. Find the adjugate matrix
The adjugate is the transpose of the cofactor matrix:
\[ \operatorname{adj}(A)=C^{T} = \begin{bmatrix} -2 & 10 & -12\\ 4 & -12 & 8\\ -6 & 6 & -4 \end{bmatrix}. \]
4. Calculate \(A^{-1}\)
\[ \begin{aligned} A^{-1} &= \frac{1}{\det(A)}\operatorname{adj}(A)\\[4pt] &= -\frac{1}{16} \begin{bmatrix} -2 & 10 & -12\\ 4 & -12 & 8\\ -6 & 6 & -4 \end{bmatrix}. \end{aligned} \]
Multiplying every entry by \(-\frac{1}{16}\), we get
\[ A^{-1} = \begin{bmatrix} \frac{1}{8} & -\frac{5}{8} & \frac{3}{4}\\ -\frac{1}{4} & \frac{3}{4} & -\frac{1}{2}\\ \frac{3}{8} & -\frac{3}{8} & \frac{1}{4} \end{bmatrix}. \]
Step 3: Final Answer
\[ \boxed{ A^{-1} = \begin{bmatrix} \frac{1}{8} & -\frac{5}{8} & \frac{3}{4}\\ -\frac{1}{4} & \frac{3}{4} & -\frac{1}{2}\\ \frac{3}{8} & -\frac{3}{8} & \frac{1}{4} \end{bmatrix} } \]
Hence, the correct answer is Option (C).