Born rule for degenerate eigenvalue

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The probability of measuring a value [itex]a[/itex] for an observable [itex]A[/itex] if the system is in the normalized state [itex]|\psi\rangle[/itex] is
[tex]|\langle a|\psi\rangle|^2[/tex]
where [itex]\langle a|[/itex] is the normalized eigenbra with eigenvalue [itex]a[/itex].

This is more-or-less the formulation of the Born rule as it appears in my text. But this seems to only make sense if [itex]\langle a|[/itex] is non-degenerate. So, what's the rule if we have a degeneracy?
 
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In the general case one should use the spectral decomposition of the self-adjoint operator which describes the observable A, thus one uses projectors. The projector for a subspace belonging to a degenerate eigenvalue (for simplicity, assume the spectrum to be purely a point spectrum) is the sum of each projector according to the rule

[tex]P_ n = \sum_{i=1}^{g_n} |ni\rangle \langle ni|[/tex]

with g_n the dimension of the subspace which corresponds to the degenerate eigenvalue a_n in which [itex]|ni\rangle[/itex] form an orthonormal subbasis. This P_n goes then in the general Born rule (again pure point spectrum):

[tex]p(a_n)_{|\psi\rangle} = \langle \psi |P_n|\psi\rangle[/tex]
 
The general formulation of the Born rule uses projectors onto subspaces. The probability of finding a eigensubspace of the measurement operator is equal to the expectation of the projector in the state: p = <psi|P|psi> You can easily see that if you project onto a 1-dimensional subspace P can be written as P = |n><n| and the probability becomes p = <psi|n><n|psi> = |<psi|n>|^2
 
The simple version of the above replies is: if there are multiple eigenstates with eigenvalue a, add up the Born probabilities for all those states to get the probability to measure the value a.
 
dextercioby said:
In the general case one should use the spectral decomposition of the self-adjoint operator which describes the observable A, thus one uses projectors. The projector for a subspace belonging to a degenerate eigenvalue (for simplicity, assume the spectrum to be purely a point spectrum) is the sum of each projector according to the rule

I have a question Dexter,

If the projector of a subspace which belongs to a generate eigenvalue, can one say that the projector is a type of generator of those which belong in the subgroup?
 
I'd interpret Born's rule for a degenerate eigenvalue from the point of view of statistical mechanics. Given a system to be prepared in some state, represented by the statistical operator [itex]\hat{R}[/itex], we ask the question about the probability (density) to find a specific value [itex]a[/itex] of an observable [itex]A[/itex], represented by a self-adjoint operator [itex]\hat{A}[/itex]. If [itex]|a,\beta \rangle[/itex] is a complete set of (generalized) eigenvectors of [itex]\hat{A}[/itex] for the eigenvalue [itex]a[/itex] normalized to unity (or to the [itex]\delta[/itex] distribution), then the probability (density) that the system is found in a specific state given by one of these eigenvalues is
[tex]P(a,\beta)=\langle a,\beta|\hat{R}|a,\beta \rangle.[/tex]
This probability can be found experimentally by measuring a complete set of compatible observables (including [itex]A[/itex]).

If you know only measure [itex]A[/itex] you have to sum (integrate) over all the non-measured observables since, because the basis vectors are orthonormalized, the outcomes are mutually exclusive, i.e., you have
[tex]P(a)=\sum_{\beta} P(a,\beta) \quad \text{or} \quad \int \mathrm{d} \beta \; P(a,\beta).[/tex]
So the Born rule for an incomplete measurement in the case of degenerate eigenvalues follows directly from the Born rule for a complete measurement and basic rules of probability theory.