Step 1: Understanding the adjoint of a matrix
For a square matrix \( A \) of order 3, the adjoint of \( A \), denoted \( \text{Adj}(A) \), is the transpose of the cofactor matrix of \( A \). The relationship between the matrix and its adjoint is given by:
\[
A \cdot \text{Adj}(A) = \text{Adj}(A) \cdot A = |A| I,
\]
where \( I \) is the identity matrix and \( |A| \) is the determinant of \( A \).
Step 2: Investigating the adjoint of \( A^2 \)
We are tasked with finding \( | \text{Adj}(\text{Adj}(A^2)) | \). Let's first understand \( \text{Adj}(A^2) \). From the properties of the adjoint and the determinant, we know that:
\[
\text{Adj}(A^2) = \left( \text{Adj}(A) \right)^2,
\]
since \( A^2 \) is a matrix obtained by multiplying \( A \) with itself. This follows from the fact that the adjoint of the product of two matrices is the product of their adjoints:
\[
\text{Adj}(A \cdot B) = \text{Adj}(A) \cdot \text{Adj}(B).
\]
Step 3: Determinant of the adjoint of a matrix
The determinant of the adjoint of a matrix \( A \) is related to the determinant of \( A \) by the following formula:
\[
| \text{Adj}(A) | = |A|^{n-1},
\]
where \( n \) is the order of the matrix. For a matrix of order 3, this becomes:
\[
| \text{Adj}(A) | = |A|^2.
\]
Since \( \text{Adj}(A^2) = \left( \text{Adj}(A) \right)^2 \), we can now calculate the determinant of \( \text{Adj}(\text{Adj}(A^2)) \). Using the same property of adjoint determinants:
\[
| \text{Adj}(A^2) | = | \left( \text{Adj}(A) \right)^2 | = \left( | \text{Adj}(A) | \right)^2 = \left( |A|^2 \right)^2 = |A|^4.
\]
Now, we apply the determinant property again:
\[
| \text{Adj}(\text{Adj}(A^2)) | = \left( | \text{Adj}(A^2) | \right)^2 = (|A|^4)^2 = |A|^8.
\]
Step 4: Conclusion
Thus, the value of \( | \text{Adj}(\text{Adj}(A^2)) | \) is \( |A|^8 \).
The correct answer is: \( |A|^8 \)