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Eigenvalues:
![](img2.gif)
There are two roots:
and ![](img4.gif)
The eigenvector corresponding to
satisfies
![](img6.gif)
Solving using Gaussian elimination:
![](img7.gif)
Equation (1) gives
. In order to get a
vector, instead of a set of possible vectors, one component must be
arbitrarily chosen. Remember: undetermined constants in
eigenvectors are not allowed. To get simple numbers, take v1y
= -2, then v1x = 3:
![](img9.gif)
Check:
![](img10.gif)
Note: the null space of the matrix above is
![](img11.gif)
so
would also have been an acceptable eigenvector, just
messier.
The eigenvector corresponding to
satisfies
![](img14.gif)
Solving using Gaussian elimination:
![](img15.gif)
Choosing v2y = 1, then v2x = -2:
![](img16.gif)
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