Eigenvalues of the power of a matrix

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If λ_i are the eigenvalues of a symmetric matrix A^2, then the eigenvalues of A must be either √λ or -√λ. This means that for each eigenvalue of A^2, there are corresponding eigenvalues for A. Since A is symmetric, all eigenvalues must be real, which implies that the eigenvalues of A^2 are non-negative. The discussion also highlights that both √λ and -√λ can be eigenvalues of A, as demonstrated by the example matrix A = [[2, 0], [0, -2]]. Thus, the eigenvalues of A^2 being positive confirms that A has real eigenvalues.
IniquiTrance
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Homework Statement



If \lambda_i are the eigenvalues of a matrix A^2, and A is symmetric, then what can you say about the eigenvalues of A?

Homework Equations


The Attempt at a Solution



I know how to prove that if \sqrt(\lambda_i) is an eigenvalue of A, then \lambda_i is an eigenvalue of A^2.

I don't know how to prove the converse though.

Thanks!
 
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Let \lambda be an eigenvalue of A^2. What can you say about A^2-\lambda I?

Now, use that

A^2-\lambda I=(A-\sqrt{\lambda}I)(A+\sqrt{\lambda} I)
 
micromass said:
Let \lambda be an eigenvalue of A^2. What can you say about A^2-\lambda I?

Now, use that

A^2-\lambda I=(A-\sqrt{\lambda}I)(A+\sqrt{\lambda} I)

Then:

det(A-\sqrt{\lambda}I)*det(A+\sqrt{\lambda} I) = 0

Not sure how to proceed...
 
If xy=0, then what can you say about x or y?
 
micromass said:
If xy=0, then what can you say about x or y?

Oh so all we can say is that either \sqrt{\lambda} or -\sqrt{\lambda} is an eigenvalue of A, but not both?
 
IniquiTrance said:
Oh so all we can say is that either \sqrt{\lambda} or -\sqrt{\lambda} is an eigenvalue of A, but not both?

Right.
 
Thank you.
 
One more question, how do we know that all the eigenvalues of A^2 are positive? Since A is symmetric, if \lambda < 0 were an eigenevalue of A^2 we'd run into a problem...
 
We can do the same with \sqrt{\lambda} complex numbers, no?
 
  • #10
micromass said:
We can do the same with \sqrt{\lambda} complex numbers, no?

But since A is symmetric, it must have real eigenvalues, no?
 
  • #11
IniquiTrance said:
But since A is symmetric, it must have real eigenvalues, no?

Yes, sure. So what we do is we argue the same argument where \lambda might be negative and where \sqrt{\lambda} might be complex. Then we can deduce that either \sqrt{\lambda} or -\sqrt{\lambda} are eigenvalues of A. Since A is symmetric, we have that \sqrt{\lambda} must be real, so \lambda was positive to begin with.
 
  • #12
micromass said:
Yes, sure. So what we do is we argue the same argument where \lambda might be negative and where \sqrt{\lambda} might be complex. Then we can deduce that either \sqrt{\lambda} or -\sqrt{\lambda} are eigenvalues of A. Since A is symmetric, we have that \sqrt{\lambda} must be real, so \lambda was positive to begin with.

Ah ok, thanks again!
 
  • #13
IniquiTrance said:
Ah ok, thanks again!

No, you can have both. The matrix
A = \pmatrix{2 & 0 \\0 & -2} has
B = A^2 = \pmatrix{4 & 0 \\0 & 4},
and so both \sqrt{4} and -\sqrt{4} are eigenvalues of A.

RGV
 

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