The product of all eigenvalues of the matrix \(\begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{bmatrix}\) is
Answer
(B)
Explanation
The product of all eigenvalues of a square matrix equals its determinant.
Here the rows are linearly dependent: each row exceeds the previous one by \((3, 3, 3)\), so \(R_{1} + R_{3} = 2R_{2}\). A matrix with dependent rows has determinant 0:
\[\det\begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{bmatrix} = 0.\]
So 0 is one of the eigenvalues, and the product of all the eigenvalues is 0, whatever the other two are.
Answer: B