How can I correctly find the eigenvectors for this matrix?

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find the eigenvectors for this matrix
\left( \begin{array}{ccc}3&0&6\\0&-3&0\\5&0&2 \end{array} \right)

easy to find the eigenvectors which are -3,-3 and 8
now how to find the eigenvectors
am i supposed to do
\left| \lambda I - A \right| X = 3 X?
then
\left( \begin{array}{ccc} -6&0&6\\0&0&0\\5&0&-5 \end{array} \right) \left( \begin{array}{c} X_{1}\\X_{2}\\X_{3} \end{array} \right) = 0 ? an find the solution for X1 x2 and X3?
it comes 1,0,1 then, which is not correct...

pleas help!
 
Last edited:
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Well, you set

\left( \begin{array}{ccc} -6&0&6\\0&0&0\\5&0&-5 \end{array} \right) \left( \begin{array}{c} X_{1}\\X_{2}\\X_{3} \end{array} \right) = 0

up right but

\left| \lambda I - A \right| X = 3 X is wrong. The equation you need to solve is
( \lambda I - A ) X = 0 for \lambda = -3, and then 8. You only take the determinant if you're trying to find the eigenvalues. You can derive it because you're trying to solve

A X = \lambda X = \lambda I X
A X - \lambda I X = 0
(A - \lambda I) X = 0
or
(\lambda I - A) X = 0<br />

But the final matrix equation you gave is not solved by (1, 0, 1). Probably just an arithmetic error.
 
Last edited:
this is the matrix for the characteristic polynomai lright ...
\left( \begin{array}{ccc}\lambda -3&amp;0&amp;6\\0&amp;\lambda+3&amp;0\\5&amp;0&amp;\lambda -2 \end{array} \right)

when u substitute -3 in there you get
\left( \begin{array}{ccc} -6&amp;0&amp;6\\0&amp;0&amp;0\\5&amp;0&amp;-5 \end{array} \right)
isnt htat correct?
Please point out my math error here...
 
D'oh, I was confused. The error is the 6 and the 5 in the top right and bottom left corners. They should be negative.
 
0rthodontist said:
D'oh, I was confused. The error is the 6 and the 5 in the top right and bottom left corners. They should be negative.

OF COURSE! I was completely disregarding that everything lese in the matrix A will be negated

thank you
 
so from the -3 one of the eigenvectors is [-1 0 1] but why not [1 0 -1]??

since there are only 2 eigenvalues how would you get the third eigenvalue?
 
I don't know what your question is. (-1, 0, 1) is an eigenvector for -3 and (1, 0, -1) is another eigenvector for -3, though they are not independent. Use row reduction to find the general form that an eigenvector for -3 must take, and you can get 2 independent eigenvectors.
 
the real question is to diagonalize this matrix
and to diagonalizei need to find P where P = [X1 X2 X3 ... Xn]
thus i need to find THREE eigenvectors
 
You don't need just any three eigenvectors, you need three independent eigenvectors. The third comes from 8. Can you give the general form that an eigenvector for -3 must take?
 
  • #10
however the text (and mathematica) say that hte eigenvectors are
[-1 0 1]
[0 1 0]
[6 0 5]
how how?
 
  • #11
Can you give the general form that an eigenvector for -3 must take?
 
  • #12
0rthodontist said:
Can you give the general form that an eigenvector for -3 must take?

nevermind...
i found the last eigenvector when i used the eigenvalue 8 and it yielded 2 independant eigenvectors
 
  • #13
8 yields only 1 independent eigenvector. It has algebraic multiplicity 1 so it can't yield more than that.
 

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