What are the eigenvalues and eigenvectors of the given matrix transformation?

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The discussion focuses on finding the eigenvalues and eigenvectors of the matrix transformation given by the differential equation. The eigenvalues were determined to be 0 and 8. Initial attempts at finding the eigenvectors were incorrect, with the correct eigenvectors identified as v1 = [-2, 1] and v2 = [2, 3]. The conversation highlights the importance of showing work to identify errors in calculations. Ultimately, the participants reached a resolution on the correct eigenvalues and eigenvectors.
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Homework Statement


<br /> \frac{d\vec{Y}}{dt}<br /> =<br /> \begin{bmatrix}<br /> 2 &amp; 4 \\<br /> 3 &amp; 6<br /> \end{bmatrix}<br /> \vec{Y}
Find the eigenvalues and eigenvectors

Homework Equations

The Attempt at a Solution


I found the eigenvectors to be
<br /> \vec{v_1} = <br /> \begin{bmatrix} <br /> 2 \\ <br /> 1 <br /> \end{bmatrix}<br /> ,<br /> \vec{v_2} = <br /> \begin{bmatrix}<br /> 2 \\<br /> -3 <br /> \end{bmatrix}<br />

I found a widget on Wolfram Alpha that says the second eigenvector should be:
<br /> \begin{bmatrix}<br /> 2 \\<br /> 3<br /> \end{bmatrix}<br />

I am more inclined to believe wolfram alpha is correct, but can someone show me why?
 
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How are we to determine whether, and if so how, you have made an error if you don't post your working?
 
It was mostly by looking at the matrix and trying to make them the same and now that you say that when I do the algebra on it to post it, I see what I did wrong. I just tried to look at 3 and -2 to find the solution when I should have said 3x-2y=0 and 3x=2y then the vector becomes clear.
 
rmiller70015 said:
It was mostly by looking at the matrix and trying to make them the same and now that you say that when I do the algebra on it to post it, I see what I did wrong. I just tried to look at 3 and -2 to find the solution when I should have said 3x-2y=0 and 3x=2y then the vector becomes clear.

Neither of your ##v_1## or ##v_2## are eigenvectors. If ##A## is your matrix we have ##Av_1 = (8,12)^T##, which cannot be a multiple of ##v_1##: the first component of ##v_1## is larger than the second component, while the opposite is true for ##Av_1##. Similarly, ##v_2## cannot be an eigenvector of ##A## because the components of ##v_2## have opposite signs, while those of ##Av_2## have the same sign.

Also: you did not show the eigenvalues.
 
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Eigens are 0,8. The problem was v2 I ommited a negative sign in the first vector on accident.
 
rmiller70015 said:
Eigens are 0,8. The problem was v2 I ommited a negative sign in the first vector on accident.

I do not understand what you are trying to say. What is the correct ##v_1##? What is the correct ##v_2##? Instead of trying to describe these in words, just show the actual numerical entries.
 
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<br /> \vec{v_1}=<br /> \begin{bmatrix}<br /> -2 \\<br /> 1<br /> \end{bmatrix}<br /> ,<br /> \vec{v_2}=<br /> \begin{bmatrix}<br /> 2 \\<br /> 3<br /> \end{bmatrix}<br />

Sory for putting so little work into this, I've got the answer and moved onto the next problem at this point.
 

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