Do A and Uinv(A)U Share Eigenvalues?

AI Thread Summary
To show that operators A and Uinv(A)U share the same eigenvalues, it is not necessary for U to be unitary. The discussion revolves around manipulating the eigenvalue equation Av = λv by applying U and its inverse. By multiplying the equation by Uinv, the relationship Uinv(A)U can be derived, leading to the conclusion that both operators have the same eigenvalues. The confusion arises from the non-commutative nature of matrix multiplication, which requires careful handling of the order of operations. Ultimately, the key is to correctly apply U and Uinv to the original eigenvalue equation to demonstrate the desired relationship.
Ed Quanta
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A is an operator and Uinv is the inverse of operator U

How am I to show that A and Uinv(A)U have the same eigenvalues? Must U be unitary for this to be true?

And if the eigenvectors of A are (Psi n), what are the eigenvectors of Uinv(A)U?

Help anyone? Not sure what to do here.
 
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Unitarity of U is not required. To prove your assertion, try to start with the equation Av=\lambda v. How may you manipulate this equation to obtain U^{-1}AU?
 
So can I just do something like following:?

We know Av=\lambda 2 v

We then let Uv=\lambda 1 v

So then Av \lambda1=\lambda 2 \lambda1 v

Then since we know
U^{-1}U=1, we know

U^{-1}v=v/(\lambda 1 )

ThusU^{-1}AUv=\lambda 2 v
 
Not quite, but close. Multiply the original equation on the left by U then insert 1 = U^{-1}U and work from there...
 
Can you explain to me why what I did is wrong? And when you say to multiply thee original equation by U, and then use the fact that 1=U multiplied by its inverse, it seems that the order of terms in the equation is altered from the expected result U^{-1}AU

And I know when it comes to matrix multiplication AB does not equal BA, so I am a tad confused as to what you want me to do. I apologize for my slowness.
 
To get you started,

Av=\lambda v
U^{-1}Av=\lambda U^{-1}v

Now how may you manipulate the last equation to get U^{-1}AU?
 
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