For a matrix to be singular, its determinant must be zero. Thus, we need to compute the determinant of matrix \( A \) and set it equal to zero. The determinant of matrix \( A \) is given by:
\[
\text{det}(A) = \begin{vmatrix}
0 & x & 16
x & 5 & 7
0 & 9 & x
\end{vmatrix}
\]
We expand the determinant along the first row:
\[
\text{det}(A) = 0 \cdot \begin{vmatrix} 5 & 7 9 & x \end{vmatrix} - x \cdot \begin{vmatrix} x & 7 \\ 0 & x \end{vmatrix} + 16 \cdot \begin{vmatrix} x & 5 \\ 0 & 9 \end{vmatrix}
\]
Now, simplify each 2x2 determinant:
\[
\text{det}(A) = 0 - x \left( x \cdot x - 7 \cdot 0 \right) + 16 \left( x \cdot 9 - 5 \cdot 0 \right)
\]
\[
\text{det}(A) = -x^3 + 16 \cdot 9x = -x^3 + 144x
\]
For \( A \) to be singular, we set \( \text{det}(A) = 0 \):
\[
-x^3 + 144x = 0
\]
\[
x \left( -x^2 + 144 \right) = 0
\]
This gives two possible solutions:
1. \( x = 0 \)
2. \( -x^2 + 144 = 0 \), which simplifies to \( x^2 = 144 \), so \( x = \pm 12 \)
Thus, the possible values for \( x \) are \( x = 0 \) and \( x = -12 \). Since \( x = 0 \) doesn't satisfy the problem conditions, we conclude that the correct value of \( x \) is \( -12 \).