System of Linear Differential equations

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Xyius
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(I do not know how to make matricies with LateX, so where the semi-colon is denotes a new row!)
[tex]t \vec{x'}=[-4,2;2,-1]\vec{x}[/tex]

The part that throws me off with this problem is the x' vector being multiplied by t! I know if the t wasn't there, all I would need to solve is det(A-(lamda)I)=0
 
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consider what you would try in the single variable case and how you could generalise it to the system
 
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Thanks for showing me how to do a matrix :)
I still do not understand! I tried to plug in the assumption that the solution is..
[tex]\vec(x)=\vec(u)e^{\lambda t}[/tex]
And I get..
[tex](A-\lambda t I)=\vec(0)[/tex]

Don't know where to go. :\
 
Thats' because the solution isn't an exponential. That's only for "constant coefficient" d.e. What you have here is a Cauchy-Euler equation but you can still reduce it just as you have constant coefficient equations.

This matrix can be diagonalized. (Every symmetric matrix can.) First find the eigenvalues [itex]\lambda_1[/itex] and [itex]\lambda_2[/itex]. Find corresponding eigenvectors and use them as columns to form the (invertible) matrix P. Then, using A as this matrix, [itex]P^{-1}AP= D[/itex] where
[tex]D= \begin{pmatrix}\lambda_1 & 0 \\ 0 & \lambda_2\end{pmatrix}[/tex]

If you multiply both sides of the differential equation, tx'= Ax, by the matrix [itex]P^{-1}[/itex], you get [itex]P^{-1}tx'= tP^{-1}x'= P^{-1}Ax= P^{-1}A(PP^{-1})x[/tex][itex]= (P^{-1}AP)P^{-1}x= DP^{-1}x[/itex]<br /> <br /> Now Let [itex]y= P^{-1}x[/itex] and the differential equation becomes <br /> [tex]ty'= Dy[/tex][/itex][tex]which can be written as the two uncoupled equations <br /> [tex]ty_1'= \lambda_1y_1[/tex]<br /> and<br /> [tex]ty_2'= \lambda_2y_2[/tex]<br /> <br /> Those will be easy to solve and then [itex]x= Py[/itex].[/tex]
 
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Thank you very much. I will need to crack open the old linear Algebra book as a refresher on diagonalization. :)

I got this as a solution..
[tex]x_1=c_1-2c_2t^{-5}[/tex]
[tex]x_2=2c_1+c_2t^{-5}[/tex]

I plugged them back into the original equation and it is indeed correct. Thanks again :D