- #1
jonjacson
- 447
- 38
Hi
If I have this matrix:
\begin{array}{cc}0&1\\1&0\end{array}
and I want to find its eigenvectors and eigenvalues, I can try it using the definition of an eigenvector which is:
A x = λ x , where x are the eigenvectors
But if I try this directly I fail to get the right answer, for example using a column eigenvector (a b) , instead I get:
(b a) = λ (a b) , (These are column vectors.)
THere is no lambda able to make this correct, unless it is zero which is not the right answer. Why is that this approach didn't work?
I have to use the identity matrix, and the determinant of A - λ I, to get the right result.
Thanks!
If I have this matrix:
\begin{array}{cc}0&1\\1&0\end{array}
and I want to find its eigenvectors and eigenvalues, I can try it using the definition of an eigenvector which is:
A x = λ x , where x are the eigenvectors
But if I try this directly I fail to get the right answer, for example using a column eigenvector (a b) , instead I get:
(b a) = λ (a b) , (These are column vectors.)
THere is no lambda able to make this correct, unless it is zero which is not the right answer. Why is that this approach didn't work?
I have to use the identity matrix, and the determinant of A - λ I, to get the right result.
Thanks!