Eigenvalue/Eigenvector by Inspection

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SUMMARY

The discussion focuses on finding one eigenvalue and two linearly independent eigenvectors of the matrix A=\begin{bmatrix} 5 & 5 & 5\\ 5 & 5 & 5\\ 5 & 5 & 5 \end{bmatrix} by inspection. The eigenvalue identified is 15, with the corresponding eigenvector being any vector of the form where x + y + z = 0. The two independent eigenvectors can be derived by setting specific values for x, y, and z, ensuring they are linearly independent. The repeated eigenvalue of 0 is also acknowledged due to the linear dependence of the matrix's columns.

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Homework Statement


Without calculation, find one eigenvalue and two linearly independent eigenvectors of A=\begin{bmatrix}<br /> 5 &amp; 5 &amp; 5\\ <br /> 5 &amp; 5 &amp; 5\\ <br /> 5 &amp; 5 &amp; 5<br /> \end{bmatrix}

Justify your answer.


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The Attempt at a Solution



This question would be incredibly easy if I could calculate the answers, but I'm not allowed to do that. How would I go about finding the eigenvalues/vectors simply by inspection?

I could use an eigenvalue of 0 to find one eigenvector, but given that the two eigenvectors I need have to be independent, I can't simply use another multiple of that eigenvector to be my second one.. I think I need to find the other eigenvalue, which I calculated to be 15, by inspection somehow.
 
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Since all of the elements of A are the same, there's an obvious eigenvector with the same property. That gives you one nonzero eigenvalue. Also, since the columns of A are linearly dependent, you know at least one other eigenvalue. Since the 3 columns are actually equal, you know that this eigenvalue is repeated. Since the value of this repeated eigenvalue is very special, you can easily guess at the form of the other 2 eigenvectors.
 
We clearly have x+ y+ z= 0 for any eigenvector <x, y, z>. Taking x=0, z= -y and taking y= 0, z= -x. n That gives the two independent eigenvectors.
 

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