nanobug said:
I think this webpage does a decent job at providing a somewhat intuitive view of decoherence:
http://www.ipod.org.uk/reality/reality_decoherence.asp
That article has an awful lot of words; I was hoping for a more concise description. From what I can tell, the notion of decoherence is very similar to getting to the target state of non-equilibrium statistical mechanics system, which, of course is what my last post is about.
Further, I saw nothing about collapse in the classical case. That is, for example, before the conclusion of a football game, at best we can know the estimated probability of,say, the Seattle Seahawks winning over the Oakland Raiders. Once the game is concluded, the initial probability of winning becomes the certainty of winning. The probability system valid prior to the win, collapses to a 0-100%, from, maybe, 57% probability that the Seahawks win.
Collapse is the handmaiden of any probability system -- because we are talking about the application of probability before and after some event. At the minimum, this event will result in a new probability system, conditional on the event.
Another strong reason for thermal effects in macroscopic measurements, at least for human vision, is that the light we see is a superposition of many photon coherent states. This means that Poisson processes are at work -- we are talking quantum E&M fields of classical currents -- which means the light with which we see is generated by random processes, which, I surmise, tend to behave along the lines of stochastic convergence.
And, the rods and cones of your eye are basically photoelectric detectors, and are quantum devices. There's tons of noise, in the sense of a communication system. As Shannon intuited, and Feinstein proved, the best way to beat noise is to take an average(s), and that's exactly what your visual system does. Both spatial and temporal averages are used. Not only that, but the samples involved are typically large, so that the standard deviations of the means involved are very small. (This is very nicely explained in Dowling's The Retina; and in Shannon and Weaver's Communication Theory.)
It seems reasonable to assert that thermal/random pertubations on many systems will result in convergence to the mean -- stochastic convergence, of course --, and thus a single value for a measurement is explainable.
However, it seems to me that there are plenty of systems not so amenable to experimental certainty. For example, consider a variant on the Kramers double well problem. For simplicity, consider two identical potential wells connected by a a barrrier.
That is, __ the potential looks like below.
________ | | __________________
|__| |__|
The wells both go from v=0 to -V, with width L, while the barrier goes fvrom -V to V', with width L'. Assume that the wells are deep enough to have bound states, and that V' >>V. Can you demonstrate how decoherence solves the "collapse" issue in such a set up
We are, of course, talking scattering, which here can have four basic outcomes. The particle, incident from the left, can end up captured in either one of the wells, can be buried in the barrier, or can proceed off to the right as a free particle. What can decoherence tell us about the outcomes?
Regards,
Reilly Atkinson