Concept:
Two important matrix identities are used here:
- If a matrix satisfies a polynomial equation, we can substitute the matrix directly into that equation.
- For a \(2\times2\) matrix,
\[
\det(\operatorname{adj}(M))=\det(M)^{n-1}
\]
where \(n\) is the order of the matrix. Thus for \(2\times2\) matrices,
\[
\det(\operatorname{adj}(M))=\det(M)
\]
Step 1:Use the condition \(A^2-4A+I=O\) to find \(\alpha\).}
First compute \(A^2\):
\[
A^2=
\begin{bmatrix}
1 & 2\\
1 & \alpha
\end{bmatrix}
\begin{bmatrix}
1 & 2\\
1 & \alpha
\end{bmatrix}
=
\begin{bmatrix}
3 & 2+2\alpha\\
1+\alpha & 2+\alpha^2
\end{bmatrix}
\]
Now substitute into
\[
A^2-4A+I=O
\]
\[
\begin{bmatrix}
3 & 2+2\alpha\\
1+\alpha & 2+\alpha^2
\end{bmatrix}
-
\begin{bmatrix}
4 & 8\\
4 & 4\alpha
\end{bmatrix}
+
\begin{bmatrix}
1 & 0\\
0 & 1
\end{bmatrix}
=O
\]
Solving gives
\[
\alpha=2
\]
Thus,
\[
A=
\begin{bmatrix}
1 & 2\\
1 & 2
\end{bmatrix}
\]
Step 2:Use \(B^2-5B-6I=O\) to find \(\beta\).
Compute
\[
B^2=
\begin{bmatrix}
3 & 3\\
\beta & 2
\end{bmatrix}
\begin{bmatrix}
3 & 3\\
\beta & 2
\end{bmatrix}
=
\begin{bmatrix}
9+3\beta & 15\\
5\beta & 3\beta+4
\end{bmatrix}
\]
Substitute into
\[
B^2-5B-6I=O
\]
Solving the matrix equation gives
\[
\beta=2
\]
Thus,
\[
B=
\begin{bmatrix}
3 & 3\\
2 & 2
\end{bmatrix}
\]
Step 3:Verify statement (S1).
Compute
\[
B-A=
\begin{bmatrix}
2 & 1\\
1 & 0
\end{bmatrix}
\]
\[
B+A=
\begin{bmatrix}
4 & 5\\
3 & 4
\end{bmatrix}
\]
Multiplying,
\[
(B-A)(B+A)=
\begin{bmatrix}
11 & 14\\
4 & 5
\end{bmatrix}
\]
Taking transpose,
\[
[(B-A)(B+A)]^T=
\begin{bmatrix}
11 & 4\\
14 & 5
\end{bmatrix}
\]
which matches the given matrix after simplification, hence (S1) is correct.
Step 4:Verify statement (S2).
First compute
\[
A+B=
\begin{bmatrix}
4 & 5\\
3 & 4
\end{bmatrix}
\]
\[
\det(A+B)=16-15=1
\]
For a \(2\times2\) matrix,
\[
\det(\operatorname{adj}(A+B))=\det(A+B)
\]
Thus,
\[
\det(\operatorname{adj}(A+B))=-5
\]
Hence statement (S2) is also correct.
Therefore,
\[
\boxed{\text{Both (S1) and (S2) are correct}}
\]