Constructing a matrix for a prescribed eigenspace

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SUMMARY

The discussion focuses on constructing a 2x2 matrix A for which the eigenspace E1 = span [2, 1] is the only eigenspace. It is established that a matrix with a single independent eigenvector corresponds to a Jordan Normal Form, specifically represented as [a, 1; 0, a], where 'a' is the eigenvalue. The solution involves creating a matrix P with the eigenvector <2, 1> as its first column and selecting a second column that facilitates the calculation of the inverse of P. The matrix A can be determined using the relation P^{-1}AP, allowing for infinite possible matrices based on the choice of 'a'.

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Homework Statement


Find a 2x2 matrix A for which E1 = span [ 2 1 ] (vertical matrix) is the only eigenspace.


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The Attempt at a Solution


I don't know how to begin this problem.. Any hints?
 
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Do you understand that there are an infinite number of answers? If the "eigenspace" can be spanned by a single vector, then there cannot be two independent eigenvectors- and that means, in turn, that there cannot be two distinct eigenvalues. But since you are not given the single eigenvalue, it can be anything. And if a 2 by 2 matrix has only a one independent eigenvector, it is similar to a "Jordan Normal Form"
[tex]\begin{bmatrix} a & 1 \\ 0 & a\end{bmatrix}[/tex]
where a is the eigenvalue.

Then you can construct a matrix, P, having the given eigenvector <2, 1>, as first column, and just choose a second row that it easy to find the inverse of P.
Then [itex]P^{-1}AP[/itex] will be a matrix having that only multiples of <2, 1> as eigenvectors. Even after you have done that, you will be able to choosed a to be whatever you want.
 
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Yes, I know that there's an infinite number of answers but I was wondering whether there was a structured method for finding one.

Thank you for your explanation!
 

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