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This is only an informal argument that must be made mathematically cogent. Herein lies the problem.vanhees71 said:That's what I never understood. For me you have "objective properties for single systems" in the case of macroscopic systems, where the macroscopic coarse-grained description is sufficient for the description of these properties, because the fluctuations (standard deviations) of the "relevant macroscopic observables" is small to the relevant scale of these observables' values. Then it's "almost certain" to find a specific value given by the macroscopic properties of the system (the extreme case is thermal equilibrium, where temperature and chemical potential(s) determine these values).
What needs to be proved is that the unitary dynamics for a macroscopic system, coupled to a single particle in a way that the latter acts as a detector, almost always produces to high accuracy a measurement outcome (coarse-grained expectation value) that equals one of the eigenvalues of the quantum observable measured.vanhees71 said:What is the concrete generalization of this statistical standard argument of (quantum) statistical physics and why do you need it?
If one defines the macroscopic system by a mixed state corresponding to a grand canonical ensemble with time-dependent intensive variables (which would be the naive attempt implied by your description) then the unitary dynamics produces instead a superposition of macroscopic systems, each one corresponding to one of the possible eigenvalues.
Thus the naive approach does not give the physically observed answer, and one needs something more sophisticated, something unknown so far. My informal analysis of what is needed points to chaotic motion that (due to the environment) settles quickly to an equilibrium state. But the standard decoherence arguments always take an average somewhere, hence produce only an average answer, but not the required answer in almost every single case. Thus one needs better mathematical tools that apply to the single case. I am working on these, but progress is slow.
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