System of Linear Differential equations

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Homework Help Overview

The discussion revolves around a system of linear differential equations, specifically focusing on a Cauchy-Euler equation represented in matrix form. Participants are exploring the implications of a time-dependent coefficient in the equations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the challenges posed by the presence of the variable t in the equations, questioning how to approach the solution compared to constant coefficient cases. There are attempts to apply assumptions about the form of the solution and to explore the process of diagonalization of the matrix involved.

Discussion Status

Some participants have provided guidance on diagonalization and the transformation of the system into uncoupled equations. There is an ongoing exploration of the implications of the Cauchy-Euler form, and while some solutions have been proposed, there is no consensus on the best approach yet.

Contextual Notes

Participants are working under the constraints of homework rules, which may limit the depth of exploration or the types of solutions discussed. There is also a mention of needing to refresh knowledge on linear algebra concepts such as diagonalization.

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
 
Last edited:
also here's how to do a matrix
[tex]t \vec{x}'=\begin{pmatrix} -4 & 2 \\ 2& -1 \end{pmatrix}\vec{x}[/tex]
 
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
 

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