Stephen Tashi said:
I understand either formalism as a model of a macroscopic event that occurs at an instant in time. I don't understand how such models apply to events that have a duration - the most obvious example is our (macroscopic) sensation that we are proceeding through life in a continuous series of "real" situations - i.e. encountering specific outcomes. For example, a macroscopic phenomena like "The cat is dead at 9:00 AM" is (with current technology) followed by the event "The cat is dead at 10 AM". What explains the persistence of macroscopic properties? Perhaps such questions also apply to microscopic events? - is this the famous Measurement Problem?
Yes, a measurement only produces an event at a specific time.
For repeated measurements, a simple scenario that produces the same result for two successive measurements is that the first measurement produces the result the "cat" is "dead", and the quantum state collapses from a superposition of "dead and alive" into a state of "dead". For an appropriate Hamiltonian, the "cat" will remain in the "dead" state, so that a second measurement on that state will produce the outcome "dead" with certainty. Here by "cat" I mean a spin 1/2 system. Obviously, one could get other outcomes for other Hamiltonians.
For many repeated measurements or for continuous measurements, one can measure frequently or even continuously, taking into account that measurement perturbs the system (by collapsing the state).
https://arxiv.org/abs/quant-ph/0306072
https://arxiv.org/abs/2010.07575
Decoherence can also form part of the answer here. However, decoherence on its own produces no macroscopic events or measurement outcomes, and needs to be supplemented with additional criteria or variables that are beyond the basic postulates of quantum mechanics.
An example of an additional criterion is the predictability sieve:
https://arxiv.org/abs/quant-ph/0105127
An example of additional variables is Bohmian mechanics:
https://arxiv.org/abs/1206.1084 (see VII.2 and Fig 11 about the measurement process and collapse)
Stephen Tashi said:
An example of a macroscopic event is a physicist preparing an experiment that puts a physical system S in a superposition of states. If the model for the entire situation includes S together with the physicist, the lab equipment etc. then how do we model the macroscopic outcome of sucessfuly putting S in a superposition? It seems (to me) that the occurrence of such a macrscopic outcome cannot not cause everything involved in the model to collapse to a specific outcome.
In orthodox quantum mechanics, there is no way to put everything into the quantum state. One must always have the measurement apparatus outside the quantum state (if the measurement apparatus is in the quantum state, one needs another measurement apparatus to measure the measurement apparatus) in order to have definite measurement outcomes and probabilities for the outcomes. This is the measurement problem.
Approaches to solving the measurement problem (being able to include the measurement apparatus in the quantum state) include Bohmian mechanics and the Many-Worlds Interpretation(s).