Let \(A=\left[a_{i j}\right]\) be an \(n \times n\) matrix. The matrix \(A-\lambda
I\) is called the characteristics matrix of \(A\), where \(\lambda\) is a scalar
and \(I\) is the identity matrix. The determinant \(|A-\lambda I|\) is a non-null
polynomial of degree \(n\) in \(\lambda\) and is called the characteristic
polynomial of \(A\). The equation \(|A-\lambda I|=0\) is called the characteristic
equation of \(A\) and its roots are called the characteristic roots or latent
roots or eigen values of \(A\). The set of all eigenvalues of the matrix \(A\) is
called the spectrum of \(A\). The product of the eigenvalues of a matrix \(A\) is
equal to the determinant \(A\).
The given values of the matrix \(A=\left[\begin{array}{rrr}1 & -3 & 3 \\ 3 &
-5 & 3 \\ 6 & -6 & 4\end{array}\right]\) are
(A) \(4,-2,-2\),
(B) \(-4,2,-2\)
(C) \(-4,2,2\)
(D) \(4,-4,2\)