Concept:
Eigenvalues of a square matrix are obtained using the characteristic equation:
\[
\det(A-\lambda I)=0
\]
The standard procedure consists of:
• forming \(A-\lambda I\),
• computing its determinant,
• solving the characteristic equation,
• identifying eigenvalues.
The sequence is extremely important.
Step 1: Forming the matrix \(A-\lambda I\).
The first step is to construct:
\[
A-\lambda I
\]
where:
\[
I=\text{identity matrix}
\]
This introduces the eigenvalue parameter \(\lambda\).
Step 2: Computing the determinant.
Next compute:
\[
\det(A-\lambda I)
\]
This determinant produces a polynomial in \(\lambda\).
Step 3: Solving the characteristic equation.
Set:
\[
\det(A-\lambda I)=0
\]
This equation is called the characteristic equation.
Solving it gives possible eigenvalues.
Step 4: Identifying the eigenvalues.
The roots obtained from the characteristic equation are the eigenvalues of the matrix.
Step 5: Arranging the correct order.
Hence the proper sequence is:
\[
B \to C \to A \to D
\]
Therefore:
\[
\boxed{B,C,A,D}
\]
Hence the correct option is:
\[
\boxed{(2)}
\]