If v is an eigenvector with eigenvalue λ, then we would have:
Av=λv
Av-λv = 0
(A-λI)v = 0
So v is an eigenvector with eigenvalue λ iff it is in the kernel of the matrix A-λI. So first, let us find the kernel of A-I:
A-I =
[0, 0, 2]
[0, 0, 2]
[0, 0, 1]
Now, obviously the vectors (1, 0, 0) and (0, 1, 0) suffice. Since the eigenspace has dimension of at most 2 (since that was the multiplicity of the eigenvalue), these vectors span it, and there are no more linearly independent eigenvectors to be found here. Moving on to A-2I:
[-1, 0, 2]
[0, -1, 2]
[0, 0, 0]
Simple inspection reveals that the vector (2, 2, 1) is in the kernel of this matrix. And since this eigenspace has dimension at most 1, we're done.
So a basis of eigenvectors is {(1, 0, 0), (0, 1, 0), (2, 2, 1)}.
2007-10-08 00:56:42
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answer #1
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answered by Pascal 7
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