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Solving second order linear homogeneous differential equation! HELP!? |
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| May24-11, 12:56 AM | #1 |
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Solving second order linear homogeneous differential equation! HELP!?
Solve the second order linear homogeneous differential equation with constant coefficients by reqriting as a system of two first order linear differential equations. Show that the coefficient matrix is not similiar to the diagonal matrix, but is similiar to a Jordan matrix, J. Determine the matrix P so that A = PJP^-1. y'' + 2y' + y = 0
I'm not sure how to go on about solving this question. Can someone help me get to the answer? |
| May24-11, 03:39 AM | #2 |
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You write y'=z, so y''=z' and you have the system:
z'+2z+y=0 y'=z You write a matrix W=(y,z)^T and then the system is W=AW for some A which you have to find. |
| May24-11, 01:51 PM | #3 |
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| May24-11, 01:57 PM | #4 |
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Solving second order linear homogeneous differential equation! HELP!?
So the System you have is:
[tex] \left( \begin{array}{c} z' \\ y' \end{array}\right) =\left( \begin{array}{cc} 2 & 1 \\ 1 & 0 \end{array}\right)\left( \begin{array}{c} z \\ y \end{array}\right) [/tex] That is your system is matrix form. Now I think the idea is to diagonalise this by computing the eigenvectors and eigenvalues. |
| May24-11, 02:00 PM | #5 |
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Not too sure what went wrong with my tex...
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| May24-11, 02:10 PM | #6 |
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Yeah, I can't really tell what you put there ahahah
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| May24-11, 02:12 PM | #7 |
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(z)' = (2 1)(z)
(y)' (1 0)(y) |
| May24-11, 02:34 PM | #8 |
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So, when after finding the eigenvalues and eigenvectors, do I form a matrix out of the eigenvectors? Would that be the answer? How is that a Jordan matrix?
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| May24-11, 02:40 PM | #9 |
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The matrix of eigenvectors, P can be used to solve the system. i don't know why they are referring to a jordan matrix, you can swap the rows around and that will be a jordan matrix.
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| May24-11, 02:46 PM | #10 |
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| May24-11, 02:48 PM | #11 |
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Cheers
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| May24-11, 02:56 PM | #12 |
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If you try to solve for eigenvectors the regular way, you'll find you can only find one independent vector, so you can't diagonalize the matrix. You can get to Jordan normal form, however, using generalized eigenvectors.
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| May24-11, 03:45 PM | #13 |
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| May24-11, 04:20 PM | #14 |
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The generalized way works for this kind of matrix.
It allows you do deal with certain situations that arise when you have repeated eigenvalues.The first thing you need to do when you approach a problem is know what it's talking about. You presumably have a textbook. Don't let all that money you spent on it go to waste! Look up what Jordan normal form is. |
| May25-11, 08:24 PM | #15 |
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| May25-11, 08:54 PM | #16 |
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So I got the Jordan form to be :
[ -1 1 ] [ 0 -1 ] and A is: [ -2 -1 ] [ 1 0 ] But I need to find a matrix P so that A = PJP^-1. Any ideas on how to find P? |
| May25-11, 11:29 PM | #17 |
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When you diagonalize a matrix, you form the matrix by using the eigenvectors as its columns. To get Jordan form, you do the same thing except you use the generalized eigenvectors.
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