An escalar$,\lambda$, is said to be an eigenvalue of a linear operator $A$ when for some vector $v \neq 0: Av=\lambda v$. It is know that the eigenvalues can be obtained as the roots of the characteristic polynomial, $p(\lambda)=det(A-\lambda I)$. Consider $A$ the linear operator described by the matrix given.
The characteristic polynomial of $A$ is $p_{A}(\lambda)=(a-\lambda)(d-\lambda)-bc=\lambda^2-(a+d)\lambda+(ad-bc)$ which has as solutions $s$ and $r$. Therefore $s$ and $r$ are the eigenvalues of $A$,which means that
- exists $v_{r}\neq0$ such that $Av_{r}=rv_{r}$
- exists $v_{s}\neq0$ such that $Av_{s}=sv_{s}$
Then you must calculate $B=A^3$ and verify that $p_{B}(\lambda)=det(B-\lambda I)=\lambda^2−(a^3+d^3+3abc+3bcd)\lambda+(ad−bc)^3$ . To conclude that $s^3$ and $r^3$ are solutions of $p_{B}(\lambda)$ then they must be eigenvalues of $B$ and in fact:
- $Bv_{r}=A^3v_{r}=A^2(Av_{r})=(A^2)(rv_{r})=r(A^2v_{r})=rA(Av_{r})=rA(rv_{r})=r^2Av_{r}=r^3v_{r}$
- It is analogous to conclude that $s^3$ is also an eigenvalue of $B$.