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Solving second order linear homogeneous differential equation! HELP? 
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#1
May2411, 12:56 AM

P: 8

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? 


#2
May2411, 03:39 AM

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P: 1,583

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. 


#3
May2411, 01:51 PM

P: 8




#4
May2411, 01:57 PM

HW Helper
P: 1,583

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. 


#5
May2411, 02:00 PM

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P: 1,583

Not too sure what went wrong with my tex...



#6
May2411, 02:10 PM

P: 8

Yeah, I can't really tell what you put there ahahah



#7
May2411, 02:12 PM

HW Helper
P: 1,583

(z)' = (2 1)(z)
(y)' (1 0)(y) 


#8
May2411, 02:34 PM

P: 8

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?



#9
May2411, 02:40 PM

HW Helper
P: 1,583

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.



#10
May2411, 02:46 PM

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Thanks
PF Gold
P: 11,757




#11
May2411, 02:48 PM

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P: 1,583

Cheers



#12
May2411, 02:56 PM

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PF Gold
P: 11,757

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.



#13
May2411, 03:45 PM

P: 8




#14
May2411, 04:20 PM

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PF Gold
P: 11,757

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. 


#15
May2511, 08:24 PM

P: 8




#16
May2511, 08:54 PM

P: 8

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? 


#17
May2511, 11:29 PM

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PF Gold
P: 11,757

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.



#18
May2611, 06:05 AM

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P: 39,552

In order to find the eigenvalues, you had to solve the characteristic equation x^2+ 2x+ 1= (x+ 1)^2= 0. Now every matrix satisfies its own characteristice equation. That is, (A^2+ 2A+ I)v= (A+ I)v= 0 for every vector v. You have already determined that any eigenvector corresponding to eigenvalue 1 is a multiple of < 1, 1>, a one dimensional subspace. But that means that there exist other vectors, v, such that Av is not equal to v, (A+ I)v is not 0, but we still must have (A+ I)^2v= 0. That is the same as saying that (A+ I)[(A+I)v]= 0 which means that (A+ I)v must be an eigenvalue.
A "generalized eigenvector" is such a vector a vector v such that Av is not equal to v but such that (A+ I)v is an eigenvcctor. Now, A+ I= [1 1] [1 1] so you are looking for a vector, <x, y>, such that x y= 1 and x+ y= 1. Use <1, 1> as the first column of P and the "generalized eigenvector" as the second column. I hope you don't mind my asking if you really have never seen "Jordan form" etc. before, why have you been assigned such a problem? 


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