Find the general solution of the system
\begin{aligned}&x^{\prime}=-x+6 y, \\&y^{\prime}=x-2 y .\end{aligned}Find the general solution of the system
\begin{aligned}&x^{\prime}=-x+6 y, \\&y^{\prime}=x-2 y .\end{aligned}Here a_{11}=-1, a_{12}=6, a_{21}=1, a_{22}=-2, and equation (3) becomes
\begin{aligned}D &=\left|\begin{array}{ll}a_{11}-\lambda & a_{12} \\a_{21} & a_{22}-\lambda\end{array}\right| \\&=\left(a_{11}-\lambda\right)\left(a_{22}-\lambda\right)-a_{21} a_{12}\end{aligned}D=\left|\begin{array}{cc}-1-\lambda & 6 \\1 & -2-\lambda\end{array}\right|=(\lambda+2)(\lambda+1)-6=\lambda^{2}+3 \lambda-4=0
which has the roots \lambda_{1}=-4, \lambda_{2}=1. For \lambda_{1}=-4 the system of equations (2) becomes
\begin{aligned}&\left(a_{11}-\lambda\right) \alpha+a_{12} \beta=0 \\&a_{21} \alpha+\left(a_{22}-\lambda\right) \beta=0\end{aligned}\begin{gathered}3 \alpha_{1}+6 \beta_{1}=0 \\\alpha_{1}+2 \beta_{1}=0\end{gathered}
Ignoring the first equation because it is just a multiple of the second, select \beta_{1} to be 1 to obtain (-2,1) as a solution of the second equation. Hence a first solution is \left(-2 e^{-4 t}, e^{-4 t}\right). Similarly, with \lambda_{2}=1, we obtain the equations
\begin{array}{r}-2 \alpha_{2}+6 \beta_{2}=0 \\\alpha_{2}-3 \beta_{2}=0\end{array}which have a solution \alpha_{2}=3, \beta_{2}=1. Thus a second solution, linearly independent of the first, is given by the pair \left(3 e^{t}, e^{t}\right). By Theorem 12.2.3, the general solution is given by the pair
(x(t), y(t))=\left(-2 c_{1} e^{-4 t}+3 c_{2} e^{t}, c_{1} e^{-4 t}+c_{2} e^{t}\right)NOTE. As defined in Section 9.10, the numbers -4 and 1 are eigenvalues of the \operatorname{matrix}\left(\begin{array}{rr}-1 & 6 \\ 1 & -2\end{array}\right) with corresponding eigenvectors \left(\begin{array}{r}-2 \\ 1\end{array}\right) and \left(\begin{array}{l}3 \\ 1\end{array}\right).