Finding the eigenvectors for T()

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SUMMARY

The discussion focuses on identifying which of the given vectors is not an eigenvector for the transformation T defined by T([x, y]) = [x + y, x + y]. The vectors provided are v = [-2, -2]ᵀ, v = [1, -1]ᵀ, and v = [1, 2]ᵀ. The analysis concludes that v = [1, 2]ᵀ is not an eigenvector, as it does not yield a scalar multiple of itself when transformed by T. The standard matrix representation for T is [1, 1; 1, 1], which was derived during the discussion.

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Homework Statement



Which of the following is not an eigenvector for [tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> x \\<br /> y \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> x + y \\<br /> x+ y \\<br /> \end{array} } \right][/tex] ?

A) v = [-2 -2]T
B) v = [1 -1]T
C) v = [1 2]T
D) All are eigenvectors

Homework Equations



Ax = [tex]\lambda[/tex]x

The Attempt at a Solution


My problem is that all eigenvectors I've computed have come from 2x2 matrices. My best guess on starting is
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> -4 \\<br /> -4 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right]<br /> = [/tex]

but this obviously doesn't work because of the size. How do I find an eigenvalue of a 2x1 matrix? Is it possible? Am I even looking at this correctly?

Edit: I think I've figured it out. First, I constructed the standard matrix for T and got [tex]\left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right][/tex]
Then I used Ax = [tex]\lambda[/tex]x with the vectors given to find the eigenvalues. Letter C didn't have an eigenvalue, so that is the answer.
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> -4 \\<br /> -4 \\<br /> \end{array} } \right] = 2<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right][/tex]
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> 0 \\<br /> 0 \\<br /> \end{array} } \right] = 0<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right][/tex]
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> 2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> 2 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> 3 \\<br /> 3 \\<br /> \end{array} } \right] = ? [/tex]
 
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davemoosehead said:

Homework Statement



Which of the following is not an eigenvector for [tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> x \\<br /> y \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> x + y \\<br /> x+ y \\<br /> \end{array} } \right][/tex] ?

A) v = [-2 -2]T
B) v = [1 -1]T
C) v = [1 2]T
D) All are eigenvectors

Homework Equations



Ax = [tex]\lambda[/tex]x

The Attempt at a Solution


My problem is that all eigenvectors I've computed have come from 2x2 matrices. My best guess on starting is
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> -4 \\<br /> -4 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right]<br /> = [/tex]

but this obviously doesn't work because of the size. How do I find an eigenvalue of a 2x1 matrix? Is it possible? Am I even looking at this correctly?

Edit: I think I've figured it out. First, I constructed the standard matrix for T and got [tex]\left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right][/tex]
Then I used Ax = [tex]\lambda[/tex]x with the vectors given to find the eigenvalues. Letter C didn't have an eigenvalue, so that is the answer.
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> -4 \\<br /> -4 \\<br /> \end{array} } \right] = 2<br /> \left[ {\begin{array}{cc}<br /> -2 \\<br /> -2 \\<br /> \end{array} } \right][/tex]
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> 0 \\<br /> 0 \\<br /> \end{array} } \right] = 0<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> -1 \\<br /> \end{array} } \right][/tex]
[tex] T \left(<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> 2 \\<br /> \end{array} } \right] \right) = <br /> \left[ {\begin{array}{cc}<br /> 1&1 \\<br /> 1&1 \\<br /> \end{array} } \right]<br /> \left[ {\begin{array}{cc}<br /> 1 \\<br /> 2 \\<br /> \end{array} } \right] = <br /> \left[ {\begin{array}{cc}<br /> 3 \\<br /> 3 \\<br /> \end{array} } \right] = ? [/tex]

Your answer is correct, but you have made extra work for yourself in this problem. You didn't need to find a matrix representation for this transformation. All you needed to do was determine whether T(x) is equal to a scalar multiple of x.
For example, T(-2, -2) = (-4, -4) = 2*(-2, -2).
 

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