(a) \(\mathbf{A}^{10}=\left(\begin{array}{rrr}67,745,349 & -43,691,832 &
8,258,598 \\ -43,691,832 & 28,182,816 & -5,328,720 \\ 8,258,598 & -5,328,720
& 1,008,180\end{array}\right)\)
(b) \(\mathbf{X}_{10}=\mathbf{A}^{10}\left(\begin{array}{l}1 \\ 0 \\\
0\end{array}\right)=\left(\begin{array}{r}67,745,349 \\ -43,691,832 \\\
8,258,598\end{array}\right) \approx 67,745,349\left(\begin{array}{r}1 \\\
-0.644942 \\ 0.121906\end{array}\right)\)
\(\mathbf{X}_{12}=\mathbf{A}^{12}\left(\begin{array}{l}1 \\ 0 \\\
0\end{array}\right)=\left(\begin{array}{r}2,680,201,629 \\ -1,728,645,624 \\\
326,775,222\end{array}\right) \approx 2,680,201,629\left(\begin{array}{c}1 \\\
-0.644968 \\ 0.121922\end{array}\right)\)
The vectors appear to be approaching scalar multiples of
\(\mathbf{K}=(1,-0.644968,0.121922),\) which approximates
the dominant eigenvector.
(c) The dominant eigenvalue is \(\lambda_{1}=(\mathrm{AK} \cdot \mathrm{K})
/(\mathrm{K} \cdot \mathrm{K})=6.28995\)