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What is the experimental evidence that a wavefunction will collapse to a dirac delta function, and not something more 'smeared' out?
The discussion revolves around the concept of wavefunction collapse in quantum mechanics, specifically addressing whether a wavefunction collapses to a Dirac delta function or to a more smeared-out state. Participants explore the implications of measurement precision, the nature of wavefunctions, and the relationship between theoretical constructs and experimental observations.
Participants express differing views on the nature of wavefunction collapse, with no consensus reached on whether it collapses to a Dirac delta function or a smeared state. The discussion remains unresolved, with multiple competing perspectives presented.
Participants note that the precision of measurements and the idealizations used in quantum mechanics play significant roles in the interpretation of wavefunction collapse. There are unresolved questions regarding the implications of assuming a delta function collapse versus a smeared state, particularly in relation to uncertainty principles.
Nowhere. Virtually all QM textbooks ignore the interpretation and use the 'shut up and calculate' approach. It is up to you if you want to reduce the wavefunction at some stage or not yet. Of course - textbooks advice you to do this in common-sense justified situations.mr. vodka said:but where in the books is it stated that the wave doesn't actually become an eigenvector of the operator
I'll split this into two:mr. vodka said:what are your arguments for not viewing it as a collapsing to a delta-function?
which I don't agree with, or at least you need to explain why you believe that we do not. After all, if you really interpret psi as predicting the number appearing on the screen of your measuring apparatus (or at least the probability distribution thereof...), then I'd ask: but don't we always get a certain number? (you, as the experimentator, might add a(n un)certainty interval, but that's you doing that, not nature)It may be (it is!) a good approximation, but in reality we never measure any value with perfect precision.