Some reflections...
lukephysics said:
TL;DR Summary: How many branches are possible after measurement?
Say you have a simplified 1d Gaussian wave function describing location of a particle.
If you already in the premises, assume that you have a gaussian, you implicitly assume that you are working in a continuum model, and infinite capacity to encoded information, thus there seems to be uncountably many branches? - unless there is something else in the theory that forbids this.
lukephysics said:
what does it mean for a particle to collapse to one position with probabiliy 100% ? you cant measure something with infinite precision, so i assume the wave function doesnt collapse to a point/singularity, it remains a fuzzy area on some small scale. does position mean centre of mass of a particle? or centre of geometric volume?
Even if you could "measure" the position with infinite precision, the observer might not be able to hold and encode this information with infinite precision and objective 100% confidence. Ie. the "receiver-end" gets saturated, and are forced to selectively discard information.
So the other flip of the coin is to ask, what is the resolution of observation and representation of the observer/measurement device? This would constraint the distinguishable branchings from the perspective of this observer.
In the classical copenhagen view, the whole macroscopic environment is what represents the "observer" with a potential classical network of measurement apparatouses. And unless we gets into cosmology this is effectively assumed infinite. So Then such infinite precision and encoding would seem possible because the whole macroscopic environment is never saturated. But then we ignore the timescale required for post-processing of this massive amount of data, and what happens if this exceeds the "measurement timescale" by orders of magniture? Here the current theory can't handle this or even pose these questions properly?
In a generalied view, of not necessarily classicale measurement devices, one can imagine that the number of branches is simply scaling with the complexity(mass) of the measurement device, which in itself may "explain" it's brownian like motion of collapses, as seen by another more complex observer.
I think a conceptual metaphor for such a "brownian observer" is that it is itself "100% confident" about it's observations, but "wrong", which is why it keeps getting "corrected". It's like you can, to your best of capability be "confident" in something, and still be wrong when putting it to test. It's also along the saying that "the more you learn about something, the more you realize how little you really know".
/Fredrik