Difficulty Finding the EigenX of an Operator

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SUMMARY

The discussion centers on finding the eigenvalues and eigenvectors of the operator matrix A = [[0, -i], [i, 0]]. The initial assumption that the eigenvalues are i and -i is incorrect. To determine the correct eigenvalues, one must solve the characteristic polynomial det(A - λI) = 0, leading to the correct eigenvalues. After identifying the eigenvalues, the corresponding eigenvectors can be calculated.

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Spurious J
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1. The operator is:
[ 0 -i]
[ i 0]


2. I'm trying to find the eigenvalues and vectors. By inspection they appear to be
|i> = (0)
...(1)
and |-i> = (1)
...(0)

(or, easier to type, <i| = ( 0 1) and <-i| = (1 0) )

But these values don't work when I plug them back into the general equation for finding eigenvalues, moreover, when I attempt to simply solve for the values/vectors by hand, I obtain the same values, but then get zero fro ever component of the related eigenvectors

eg.
(0 -i) (a) = -i (a)
( i 0) (b) (b), which is -bi= -ai and ai= -bi

Thanks
 
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Spurious J said:
1. The operator is:
[ 0 -i]
[ i 0]2. I'm trying to find the eigenvalues and vectors. By inspection they appear to be
|i> = (0)
...(1)
and |-i> = (1)
...(0)

(or, easier to type, <i| = ( 0 1) and <-i| = (1 0) )
Your eigenvalues are incorrect, if I'm interpreting your post correctly. It seems you are concluding that the eigenvalues are i and -i. But that is not correct.

Solve for λ in the for characteristic polynomial det(A - λI) = 0,

Where A is your operator matrix. In this case,

[tex]\mathrm{A} = \left[ \begin{array}{cc}<br /> 0 & -i \\<br /> i & 0<br /> \end{array} \right][/tex]

And λI is unity matrix times λ,

[tex]\lambda \mathrm{I} = \left[ \begin{array}{cc}<br /> \lambda & 0 \\<br /> 0 & \lambda<br /> \end{array} \right][/tex]

So in other words, your characteristic polynomial for this problem is:

[tex]\left| \begin{array}{cc}<br /> 0 - \lambda & -i \\<br /> i & 0 - \lambda<br /> \end{array} \right| = 0[/tex]

Solve for λ. You'll end up with two possible values for λ. These are your eigenvalues.

Then find your eigenvectors.
 
Last edited:

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