To solve the given problem, we must first analyze the given matrices \(A\) and \(B\) and their respective equations.
**Step 1: Analyze the matrix \(A\) and its equation.**
Matrix \(A\) is given as:
\(A = \begin{bmatrix} \alpha & 2 \\ 1 & 2 \end{bmatrix}\)
The matrix equation given is:
\(A^2 - 4A + 2I = 0\)
First, compute \(A^2\):
\(A^2 = \begin{bmatrix} \alpha & 2 \\ 1 & 2 \end{bmatrix} \cdot \begin{bmatrix} \alpha & 2 \\ 1 & 2 \end{bmatrix} = \begin{bmatrix} \alpha^2+2 & 2\alpha + 4 \\ \alpha + 2 & 4+1 \end{bmatrix} = \begin{bmatrix} \alpha^2 + 2 & 2\alpha + 4 \\ \alpha + 2 & 5 \end{bmatrix}\)
Substitute \(A^2\) into the equation:
\(\begin{bmatrix} \alpha^2 + 2 & 2\alpha + 4 \\ \alpha + 2 & 5 \end{bmatrix} - 4 \begin{bmatrix} \alpha & 2 \\ 1 & 2 \end{bmatrix} + 2 \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\)
Expands to:
\(\begin{bmatrix} \alpha^2 + 2 - 4\alpha + 2 & 2\alpha + 4 - 8 \\ \alpha + 2 - 4 & 5 - 8 + 2 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\)
Thus, solving:
**Step 2: Verify matrix \(B\) and its properties.**
Matrix \(B\) is given as:
\(B = \begin{bmatrix} 1 & 1 \\ 1 & 1 \end{bmatrix}\)
The matrix equation given is:
\(B^2 - 2B + I = 0\)
Compute \(B^2\):
\(B^2 = \begin{bmatrix} 1 & 1 \\ 1 & 1 \end{bmatrix} \cdot \begin{bmatrix} 1 & 1 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 2 & 2 \\ 2 & 2 \end{bmatrix}\)
Substitute \(B^2\) into the equation:
\(\begin{bmatrix} 2 & 2 \\ 2 & 2 \end{bmatrix} - 2 \begin{bmatrix} 1 & 1 \\ 1 & 1 \end{bmatrix} + \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\)
It perfectly balances, showing the equation for \(B\) holds as well.
**Step 3: Calculate \(A^3 - B^3\) and its adjugate.**
We previously found \(\alpha = 2\) so:
\(A = \begin{bmatrix} 2 & 2 \\ 1 & 2 \end{bmatrix}\)
Compute \(A^3\): First find \(A^2\) again with \(\alpha = 2\)
\(A^2 = \begin{bmatrix} 2 & 2 \\ 1 & 2 \end{bmatrix} \cdot \begin{bmatrix} 2 & 2 \\ 1 & 2 \end{bmatrix} = \begin{bmatrix} 6 & 8 \\ 4 & 6 \end{bmatrix}\)
Then compute \(A^3\):
\(A^3 = A \cdot A^2 = \begin{bmatrix} 2 & 2 \\ 1 & 2 \end{bmatrix} \cdot \begin{bmatrix} 6 & 8 \\ 4 & 6 \end{bmatrix} = \begin{bmatrix} 20 & 28 \\ 14 & 20 \end{bmatrix}\)
Now compute \(B^3\):
\(B^3 = B \cdot B^2 = \begin{bmatrix} 1 & 1 \\ 1 & 1 \end{bmatrix} \cdot \begin{bmatrix} 2 & 2 \\ 2 & 2 \end{bmatrix} = \begin{bmatrix} 4 & 4 \\ 4 & 4 \end{bmatrix}\)
Compute \(A^3 - B^3\):
\(A^3 - B^3 = \begin{bmatrix} 20 & 28 \\ 14 & 20 \end{bmatrix} - \begin{bmatrix} 4 & 4 \\ 4 & 4 \end{bmatrix} = \begin{bmatrix} 16 & 24 \\ 10 & 16 \end{bmatrix}\)
The adjugate of a 2x2 matrix \(\begin{bmatrix} a & b \\ c & d \end{bmatrix}\) is \(\begin{bmatrix} d & -b \\ -c & a \end{bmatrix}\).
Here, we find the adjugate of the resultant matrix \(A^3 - B^3\):
\(\text{adj}(A^3 - B^3) = \begin{bmatrix} 16 & -24 \\ -10 & 16 \end{bmatrix}\)
Now compute the determinant of \(A^3 - B^3\):
Let A = \(\begin{bmatrix} \log_5 128 & \log_4 5 \log_5 8 & \log_4 25 \end{bmatrix}\) \). If \(A_{ij}\) is the cofactor of \( a_{ij} \), \( C_{ij} = \sum_{k=1}^2 a_{ik} A_{jk} \), and \( C = [C_{ij}] \), then \( 8|C| \) is equal to: