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Another reminder on finding eigenvectors |
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| May3-12, 12:47 PM | #1 |
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Another reminder on finding eigenvectors
Another question with respect to finding eigenvectors.
If I remember correctly, I should be able to look at certain 2 by 2 matrices and practically write down the eigenvalues and eigenvectors. For example, I have a diagonal matrix, I know immediately what the eigenvalues and eigenvectors are. E.g. M = \begin{bmatrix} 1 &0 \\[0.3em] 0 & x \\[0.3em] \end{bmatrix} Well, I know immediately λ_1 =1, λ_2 = x and that the eigenvectors are e_1 = (1 0) and e_2 = (0 1). Now, what about an upper diagonal matrix? Take M = \begin{bmatrix} -1 & -1 \\[0.3em] 0 & x-(1/4) \\[0.3em] \end{bmatrix} I can see λ_1=1 and that e_1 = (1 0) How do you find the second eigenvalue and eigenvector? |
| May3-12, 01:58 PM | #2 |
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In a "triangular matrix", just as in a diagonal matrix, the numbers on the diagonal are the eigenvalues. In your example they are -1, NOT 1, and x- (1/4).
More generally, if your matrix is [tex]\begin{bmatrix} a & 0 \\ -1 & b\end{bmatrix}[/tex] then a and b are the eigenvalues. The eigenvector corresponding to eigenvalue a must satisfy [tex]\begin{bmatrix} a & -1 \\ 0 & b\end{bmatrix}\begin{bmatrix}x \\ y\end{bmatrix}= \begin{bmatrix}ax & ay\end{bmatrix}[/tex] so that we have equations ax- y= ax and by= ay. The first equation, on subtracting ax from both sides, gives -y= 0 so y= 0. The second equation, which is equivalent to (b- a)y= 0 also gives y= 0. An eigenvector corresponding to eigenvalue a is <1, 0> as you say. The eigenvector corresponding to eigenvalue b must satisfy [tex]\begin{bmatrix} a & 1 \\ 0 & b\end{bmatrix}\begin{bmatrix}x \\ y\end{bmatrix}= \begin{bmatrix}bx \\ by\end{bmatrix}[/tex] which gives the equations ax- y= bx and by= by. The first equation is the same as y= (b- a)x while the second equation is satisfied by any y. Any eigenvector is of the form <x, y>= <x, (b-a)x>= x<1, b-a>. In your case, with a= 1 and b= x- 1/4, 1 is an eigenvalue with corresponding eigenvector <1, 0> (or any multiple) and x- 1/4 is an eigenvalue with corresponding eigenvector <1, x- 5/4>. |
| May3-12, 02:28 PM | #3 |
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This makes sense, but according to what I have here, the eigenvector should be
λ_2 = <-1 x+ (3/4)> This is assuming x-(1/4) > 0. Would that make a difference or is what I have a typo? |
| May3-12, 02:30 PM | #4 |
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Another reminder on finding eigenvectors
i.e. b-a is 1-(-1/4)=3/4, right?
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| May4-12, 08:01 AM | #5 |
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No, 1- (-1/4)= 1+ 1/4 = 5/4, not 3/4.
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| May4-12, 05:36 PM | #6 |
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Typo on my part.
we get for the "b value" an equation -v_1-v_2 = (x-1/4)*v_1 This is -v_2 =(x+3/4)*v_1 |
| May4-12, 05:37 PM | #7 |
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That is, using your equation ax- y= bx
a=-1, b=(x-1/4) |
| Jul20-12, 12:17 PM | #8 |
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perhaps you should credit the author for the quote at the bottom of your post -- Edna St. Vincent Millay
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