Simultaneous diagonalization and replacement of operators with eigenvalues ?

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SUMMARY

Simultaneous diagonalization of operators in quantum mechanics is possible when two operators commute, as established in the discussion regarding Hamiltonians and operators. The proof involves demonstrating that if operator A has an eigenvector |a> with eigenvalue a, and operator B commutes with A, then B|a> is also an eigenvector of A with the same eigenvalue a. This means that one can replace the operator with its eigenvalue when it acts on its eigenvector, adhering to the definition of eigenvalues and eigenvectors. The discussion notes that while the proof is straightforward for non-degenerate eigenvectors, it becomes more complex in the presence of degeneracy.

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Apparently, if I have a Hamiltonian that contains an operator, and that operator commutes with the Hamiltonian, not only can we "simultaneously diagonalize" the Hamiltonian and the operator, but I can go through the Hamiltonian and replace the operator with its eigenvalue everywhere I see it show up. Can someone please explain why this is? Thanks!
 
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The proof that you can simultaneously diagonalize commuting operators should be available in any elementary quantum mechanics text. IIRC it goes something like this:

1. We examine an eigenvector of operator A with eigenvalue a: [tex]A|a> = a|a>[/tex]
2. Now act with B (remember numbers commute with operators: [tex]BA|a> = a B |a>[/tex]
3. We assume B commutes with A: [tex]BA |a> = AB |a>[/tex]
4. Use 2 to replace in 3: [tex]A(B |a> )= a (B |a>)[/tex]
5. Now we see that B|a> is an eigenvector of A with eigenvalue a. Thus, B can only scale |a> by a constant which means |a> is an eigenvector of B. I've assumed A has no degenerate eigenvectors; the situation gets a bit trickier under conditions of degeneracy, but you can still prove that commuting operators can be simultaneously diagonalized.

You can only replace the operator with its eigenvalue when the operator is operating on one of its eigenvectors, and then you have to use the eigenvalue associated with that eigenvector. And that's because of the definition of eigenvectors/eigenvalues.
 

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