We are given that the matrix \( M \) has eigenvalues 5 and -2. We need to calculate the eigenvalues of matrix \( Q \), which is defined as:
\[
Q = M^3 - 4M^2 - 2M.
\]
Step 1: Use the properties of eigenvalues.
If \( \lambda \) is an eigenvalue of matrix \( M \), then \( \lambda^n \) is an eigenvalue of \( M^n \). Thus, we can compute the eigenvalues of \( Q \) by substituting the eigenvalues of \( M \) into the expression for \( Q \).
Given that the eigenvalues of \( M \) are 5 and -2, we calculate the corresponding eigenvalues for \( Q \) as follows:
For \( \lambda = 5 \):
\[
Q_{\text{eigenvalue}} = 5^3 - 4(5^2) - 2(5) = 125 - 100 - 10 = 15.
\]
For \( \lambda = -2 \):
\[
Q_{\text{eigenvalue}} = (-2)^3 - 4(-2)^2 - 2(-2) = -8 - 16 + 4 = -20.
\]
Thus, the eigenvalues of \( Q \) are 15 and -20.
Final Answer:
(A) 15
(C) -20