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straycat said:To be honest I do not fully understand how Zurek can define "swappability" without letting some piece of QM -- and hence the Born rule! -- "sneak" in.
Well, Zurek accepts (of course) entirely the unitary part of QM, unaltered, and without "extra degrees of freedom". He introduces a unitary symmetry operator which "turns" randomly the phases of the basis vectors of system 1, and turns in opposite ways the phases of the basis vectors of system 2, and calls this an envariance symmetry operator. He argues that we can never measure the *phases* of the different basis vectors of system 1 (this comes from the redundancy in state description, namely the fact that a physical state corresponds to a RAY and not an element in hilbert space) or of system 2, and that, as such, his symmetry operator does not affect the physical state. He then goes on to enlarge the envariance symmetry operators, in which he swaps at the same time two states in the two hilbert spaces 1 and 2 (so that the overall effect of the Schmidt decomposition is simply to swap the hilbert coefficients), and notices that in the case of EQUAL COEFFICIENTS, this is a symmetry of the state.
He then introduces some assumptions (in that a unitary transformation of system 2 should not affect outcomes of system 1, including probabilities) and from some considerations arrives at showing that in such a case, all probabilities should be equal FOR THIS SPECIFIC STATE.
Why couldn't we assume that they are swappable even if they have different coefficients? Because that would mean that they have different physical properties. So at the very least, Zurek is assuming that states must be elements of a Hilbert space, and that the Hilbert space coefficient is some sort of property characteristic of that state.
Yes, in other words, he's accepting unitary quantum theory.
Well if we are going to assume all that, we may as well just plug in Gleason's theorem, right? Or am I missing something?
In order to derive Gleason's theorem, you have to make an extra assumption related to probabilities, which is the non-contextuality ; in other words, to assume that the probability of an outcome ONLY depends upon the properties of the component of the state within the compatible eigenspace corresponding to the desired outcome, and NOT on other properties of the state or the observable, such as THE NUMBER of different eigenspaces, and the components in the OTHER eigenspaces (of other, potential, outcomes). (the other possible outcomes, and their relation to the state, are the *context* of the measurement). As you know, the APP NEEDS this information: it needs to know HOW MANY OTHER EIGENSPACES have a non-zero component of the state in them. The Born rule doesn't: the length of the component in the relevant eigenspace is sufficient. And Gleason proves that the Born rule is THE ONLY rule which satisfies this property.
Zurek does something else, which is assuming additivity of the probabilities of the "fine-grained" state components and then uses the specific case where there are exactly a sufficient number of fine-grained state components to arrive at the requested Born rule. The request that, for this specific fine-grained situation, the probability of the component in the relevant (coarse-grained) eigenspace is given ONLY by the sum of "component probabilities" within this eigenspace, is yet another form of requiring non-contextuality: namely that the probability is entirely determined by the component in the relevant eigenspace (by taking the sum), and NOT by the context, which is how the rest is sliced up, and how the components are distributed over the rest. So in an involved way, he also requires non-contextuality. And then, by Gleason, you find the Born rule.