strangerep said:
Hartle's result is stronger than that: the value for the observable f_\infty^k in an infinite collection of independent measurements on identically-prepared copies of the state |s> becomes definite: |\langle k|s\rangle|^2. (I.e., no dispersion.)
That may be true (and it may not be), but I won't have a reason to look at the N→∞ limit until I've seen a reason to interpret the approximate result as an approximate derivation of the Born rule.
strangerep said:
Sure it does: |s\rangle can be decomposed as a linear combination of eigenstates of A.
So? That's only useful when we want to use the Born rule to calculate the frequency of |k> results in a long series of measurements of A. But if the interpretation of f_N{}^k is the reason to think of the result f_N{}^k|s^N\rangle\approx |\langle k|s\rangle|^2|s^N\rangle as an approximate derivation of the Born rule, we certainly can't use the Born rule to justify the interpretation of f_N{}^k. So, without using the Born rule, what would you say is the frequency of |\left\uparrow\right\rangle in the the spin-1/2 state |s\rangle=\frac{1}{\sqrt 2}\big(|\left\uparrow\right\rangle +|\left\downarrow\right\rangle\big)? I would say that the question doesn't make sense, but doesn't the derivation
rely on this making sense?
strangerep said:
Certainly he's using another axiom of QM -- the one about any measured value being one of the eigenvalues of the operator.
I read section II again today, hoping to understand what he's really assuming. These are my conclusions:
His starting point is that a state vector identifies all the true propositions about a single system. In this context, a proposition is a statement of the form "if we do a measurement using measuring device A, the result will be in the set E". So it can be uniquely identified by the pair (A,E). He's assuming that propositions have three possible truth values: true, false and indeterminate. What it means to say that a proposition is true/false/indeterminate is given by the following definition:
The proposition (A,E) is said to be
true when we know for sure that the result of an A measurement will be in E, is said to be
false when we know for sure that it won't be in E, and is said to be
indeterminate when we can't know if the result will be in E or not.
He assumes that measuring devices are represented by self-adjoint operators. He assumes that the proposition (A,E) is
true if the system's state vector is an eigenvector of A with eigenvalue in E,
false if the system's state vector is an eigenvector of A with an eigenvalue not in E, and
indeterminate if the system's state vector isn't an eigenvector of A.
This doesn't help me at all. At the beginning of section III, he states "in this section we show how the probability interpretation of the wave function results from an application of the previous discussion to ensembles of identical systems themselves considered as individual systems". In other words, "we will show how the Born rule follows from what I just said". Then he derives the result f_N{}^k|s^N\rangle\approx |\langle k|s\rangle|^2|s^N\rangle, which seems to have nothing to do with the Born rule, takes the limit N\rightarrow\infty, and claims victory. I feel like I'm looking at the underpants gnomes' 3-step plan:
1. Collect underpants.
3. Profit.
Something
huge appears to be missing.
If we make the absurd assumption that every system that's described as being in state |s> is actually in an eigenstate, then I can see how probabilities arise from this approach. The probability of |k> could be defined as "number of copies that are actually in the state |i>" / "total number of copies". If we don't make that absurd assumption at the start, I don't see why the "approximate eigenvalue" of f_N{}^k would have anything to do with the "probability of |k>".