What should I do when faced with a mixture of real and complex eigenvalues?

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The discussion focuses on solving the differential equation represented by the matrix \(\begin{pmatrix} 3 & 0 & -1 \\ 0 & -3 & -1 \\ 0 & 2 & -1 \end{pmatrix}\) and finding its eigenvalues. The eigenvalues calculated are 3, \(2 + i\), and \(2 - i\). The user encounters an issue with the real eigenvalue 3, as it appears not to have a corresponding eigenvector. The solution suggests that the eigenvector for the eigenvalue 3 can be identified as (1, 0, 0), indicating a straightforward approach to addressing the mixture of real and complex eigenvalues.

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I need to solve the differential equation
[tex]\mathbf{x'} = \left( <br /> \begin{array}{ccc}<br /> 3 & 0 & -1\\<br /> 0 & -3 & -1\\<br /> 0 & 2 & -1<br /> \end{array}<br /> \right) \mathbf{x}[/tex]

solving for the eigenvalues by taking the determinate and using the "basketweave" yields

[tex](3 - \lambda)(-3-\lambda)(-1-\lambda) + 2(3-\lambda) = 0[/tex]

and further simplification shows that

[tex]-\lambda^3 - \lambda^2 +7\lambda +15 = 0[/tex]

guessing roots, I found that 3 is one and divided the polynomial by the root

[tex](\lambda - 3)(-\lambda^2 - 4\lambda -5)=0[/tex]

so the eigenvalues are (solving for both eqns in the brackets)
[tex]\lambda = 3[/tex]
[tex]\lambda = 2 + i[/tex]
[tex]\lambda = 2 - i[/tex]

The thing is that when I put in the real eigenvalue, it doesn't seem to have an eigenvector. Is this right? I think it would be because I don't have any idea how to get the solution for a mixture of real and complex eigenvalues. The solutions I know how to solve are when the eigenvectors are of the form v1,v2=p±iq. Though I imagine that if the real eigenvalue made an eigenvector I could just take the general solution of that and add it to the general solution of the complex eigenvectors.

Basically what I want to know is, what do I do know?
 
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there's some miscalculation there.
eigenvalues are 3, (-2 + i), (-2 -i)

you can just look at the matrix and
pick the eigenvector that gives 3 as
the eigenvalue. (1, 0, 0).
 

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