peteratcam
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At this point, I give up.sweet springs said:E|e>=e|e>Define |e>
Regards.
At this point, I give up.sweet springs said:E|e>=e|e>Define |e>
Regards.
sweet springs said:Thanks peteratcam, SpectraCat.
Maybe it's good to confirm the points we share:
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E: energy operator
P: momentum operator
eigenset of E: all {|e>} that satisfy the equation E|e>=e|e>.
subspaces specified by different eigenvalue (eigensatate) are orthogonal.
<e'|e>=δ(e-e'), <p'|p>=δ(p-p').
degeneracy
<p|e>=<-p|e>=0 for e≠p^2/2m
<p|e>+<-p|e>=1 for e=p^2/2m
A form a complete set {|a>} :
{|a>} satisfy the equation A|a>=a|a> and
projection { ∫da and/or Σa }|a><a|=I identity operator.
SpectraCat said:Ok, fine, but there are an infinite number of equations that satisfy that relation for any single value of e. So you can't use those vectors as an expansion basis
SpectraCat said:Nope this is wrong ... or at least there exist |e> vectors that satisfy your "eigenset" definition that are not orthogonal.
SpectraCat said:It happens to be true for certain choices of |e> as you defined it originally. So what? There are an infinite number of cases where it does not hold.
SpectraCat said:This is not correct, you are missing the orthonormality condition.
sweet springs said:Hi, SpectraCat.
As you are well aware eigenset of coordinate {|x>} or eigenset of momentum {|p>} is another popular example of expansion basis with continuous so infinite number of eigenvalues.
There cannot exist. As you are well aware for eigenset of Hermitian H: all {|h>} that satisfy the equation H|h>=h|h>, <h'|h>=δ(h-h') for continuous eigenvalue or δh'h discrete case, otrthogonality.
Sorry, I found my mistake in the formula.
<p|e>+<-p|e>=1 should be replaced to |<p|e>|^2+|<-p|e>|^2=1
Then for any choices of |e>, say α|p>+β|-p>.
|<p|e>|^2+|<-p|e>|^2=α*α +β*β=1.
This is the definition of eigenvectors forming a complete set. Your improvement, if there is, should be appreciated.
Readers, I would like to know your reply to the question "Do eigenvectors of E form a complete set?"
Mine is "NO".
SpectraCat said:I said there are an infinite number of eigenvectors satisfying your "eigenset" definition for a *single* eigenvalue of E.
SpectraCat said:What you wrote above is not a true statement. I can provide any number of counter-examples .. can you think of one?
SpectraCat said:Is the |e> vector you gave above orthogonal to |p> and |-p>? Do the three vectors |e>, |p> and |-p>, above all satisfy the "eigenset" definition for E? Do you see your mistake yet?
I would say that it is possible to choose a sub-set of the eigenvectors of E that form a complete basis. In fact, there are an infinite number of subsets that can be chosen as complete bases. One such choice, as I pointed out in my original answer, is the eigenvectors of the momentum operator.
sweet springs said:Hi. SpectraCat.
Yes, I have been in accord that eigenstate |e>=α|p>+β|-p> where |α|^2+|β|^2=1, not a "vector" but a "plane" 2 dimensional complex "eigenplane". Maybe word eigenvector was misleading. Eigenstate or eigensubspace is more correct use of word.But this is mathematics of Hermitian.
To choose independent specific "vectors" from "plane", you need help of other operator than E, P for example.
I call it eigenvectors of P form a complete set but eigenstates or eigensubspaces of E do not form a complete set.
We are in progress now.
Regards.
sweet springs said:Hi. I write down my understanding again.
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1) Operator E is observable when direct sum of eigenspaces labeled by e of Eψ=eψ compose the whole space.
2) Space = subspace(e') + subspace(e") + ..., where subspace(e') is composed of {ψ| Eψ=e'ψ} so called eigenspace. one eigenspace is orthogonal to the others.
3) Probability to get obeserved value e' of E is length of the projection of the state on the eigenspace(e') squared.
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Regards.
SpectraCat said:In point 1, I don't know what the words "eigenspace labeled by e" means. I also don't think that your statement has anything to do with it being "an observable".
SpectraCat said:In point 2, I am not sure what you mean when you say an eigenspace "is orthogonal to" another eigenspace, unless it is the trivial case where all the vectors in one space are orthogonal to all of the vectors in the other space. Finally, I don't see how 3 can possibly be correct ... first of all, I don't know what you mean by "projection of the state on the eigenspace" ... is that the sum of the projections of the state on all the eigenvectors in the space? If so, point 3 definitely seems wrong.