Solving DE Using Multiple Methods: Eigenvalues, Eigenvectors, and More

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Discussion Overview

The discussion revolves around solving a system of differential equations (DEs) using multiple methods, specifically focusing on eigenvalues and eigenvectors. Participants explore various approaches to find solutions and clarify the formulation of the problem.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant expresses uncertainty about identifying a second method for solving the DE given by the equation (dY)/dt=AY + F, where A is a specified matrix and F is a function of time.
  • Several participants confirm the interpretation of the matrix and suggest writing out the individual DEs for further analysis.
  • A suggestion is made to consider different methods of handling the DEs, including the possibility of using Laplace transforms.
  • Another participant proposes solving the system through successive substitutions, providing a detailed breakdown of the equations involved.
  • One participant calculates the eigenvalues and eigenvectors of the coefficient matrix, noting the characteristic equation and identifying real eigenvalues, while expressing uncertainty about the complexity of the corresponding eigenvectors.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best method to solve the DEs, with multiple approaches and suggestions being discussed, indicating a lack of agreement on a single solution strategy.

Contextual Notes

Participants express uncertainty regarding the formulation of the DEs and the methods to apply. There are unresolved mathematical steps in the proposed solutions, and the complexity of finding eigenvectors corresponding to certain eigenvalues is acknowledged.

encorelui2
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People I am fairly new with dealing with DEs (and here I was thinking I got it all :palm: )
Any who: I am working on some problems here and the professor wants us to use 2 methods to solve this DE. My issue is I can't figure out what the 2nd method is!
(dY)/dt=AY +F
[itex]^{Y}[/itex] = [7,4,4; -6,-4,-7; -2,-1,2] and [itex]\textbf{}F[/itex] = [-3;0;3]e[itex]^{-iwt}[/itex]
Initial contions: $$Y(0)=\begin{pmatrix} 1\\ -2\\ 3\end{pmatrix},\; $$

I was able to find the eigenvalues & eigenvectors; hence the particular & general solutions. My issue i s I don't know of any other method to do this. Can anyone point me in the right direction?

Thanks
 
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Is [7,4,4; -6,-4,-7; -2,-1,2] a matrix?

So you wrote:
$$Y=\begin{pmatrix} 7 & 4 & 4\\ -6 & -4 & -7\\ -2 & -1 & 2 \end{pmatrix},\; F=\begin{pmatrix} -3\\0\\-3 \end{pmatrix}e^{-i\omega t}$$ ... did I read that correcty?

Anyway, did you try writing out the three DEs and solving them individually?
 
Simon Bridge said:
Is [7,4,4; -6,-4,-7; -2,-1,2] a matrix?

So you wrote:
$$Y=\begin{pmatrix} 7 & 4 & 4\\ -6 & -4 & -7\\ -2 & -1 & 2 \end{pmatrix},\; F=\begin{pmatrix} -3\\0\\-3 \end{pmatrix}e^{-i\omega t}$$ ... did I read that correcty?

Anyway, did you try writing out the three DEs and solving them individually?

Yes u read that correctly. Wait! Are u saying to create something like this:

7y1 + 4y2 + 4y3 - 3eiωt
-6y1 - 4y2 - 7y3
-2y1 - y2 +2y3 + 3eiωt
 
Simon Bridge said:
If Y is the matrix, as in post #1, then ##\frac{d}{dt}Y = AF## expands to: $$\frac{d}{dt}\begin{pmatrix} 7 & 4 & 4\\ -6 & -4 & -7\\ -2 & -1 & 2 \end{pmatrix} = A \begin{pmatrix} 7 & 4 & 4\\ -6 & -4 & -7\\ -2 & -1 & 2 \end{pmatrix}+\begin{pmatrix} -3\\0\\-3 \end{pmatrix}e^{-i\omega t}$$
... which doesn't make a lot of sense...

From your continuation, I suspect you mean:

$$\frac{d}{dt}\begin{pmatrix}y_1\\y_2\\y_3\end{pmatrix}= \begin{pmatrix} 7 & 4 & 4\\ -6 & -4 & -7\\ -2 & -1 & 2 \end{pmatrix}\begin{pmatrix}y_1\\y_2\\y_3\end{pmatrix} + \begin{pmatrix} -3\\0\\-3 \end{pmatrix}e^{-i\omega t}$$

My previous suggestion was anticipating a particular response ... naughty of me :)
What I mean is that you know more than one way of handling DEs ... I have to go, so I'll just leave you with these notes:
http://tutorial.math.lamar.edu/Classes/DE/SolutionsToSystems.aspx

Just look at the system different ways and see if there are ways to simplify it or make intellegent guesses ... maybe it will be susceptable to Laplace transforms?
 
It can be solved by successive substitutions:

[itex]\begin{cases}y_1'=7y_1+4y_2+4y_3-3e^{i\omega t}\\y_2'=-6y_1-4y_2-7y_3\\y_3'=-2y_1-y_2+2y_3+3e^{i\omega t}\end{cases}\\\\<br /> \begin{cases}y_1''=7y_1'+4y_2'+4y_3'-3i\omega e^{i\omega t}\\y_2'=-6y_1-4y_2-\frac{7}{4}\left(y_1'-7y_1-4y_2+3e^{i\omega t}\right)\\y_3'=-2y_1-y_2+\frac{1}{2}\left(y_1'-7y_1-4y_2+3e^{i\omega t}\right)+3e^{i\omega t}\end{cases}[/itex]

Now we substitue for [itex]y_3'[/itex]. Next we can eliminate [itex]y_2[/itex] in a similar way. Finally we get equation of 3rd order with [itex]y_1[/itex] only.
 
I would look for eigenvalues and eigenvectors of that coefficient matrix. I find that the characteristic equation is [itex]r^3- 5r^2- 45r+ 153= (r- 3)(r^2- 2r- 51)= 0[/itex]. The eigenvalues are 3 and [itex]1\pm\sqrt{51}[/itex] all of which are real numbers.

An eigenvector corresponding to eigenvalue is (0, 1, 1).

I haven't tried to find the Eigen vectors corresponding to the other two eigenvalues. I suspect they are rather messy.
 
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