- #1
greypilgrim
- 548
- 38
Hi.
A while ago, I apparently had a wrong idea about the meaning of realism. I stood corrected:
I'm still struggling with those subtleties. Would following formulation be more appropriate:
"Realism means, that every observable ##x## is attributed a probability distribution ##p_P(x)## that might depend on a set of parameters ##P## such as the settings of the measurement device (e.g. polarizer angle).
Local realism means, that only parameter set in the measurement's past light cone can affect this probability distribution."
Also, I don't quite see why "predetermined" is necessarily wrong. Doesn't the Bayesian interpretation of probability basically say that probability emerges as a lack of knowledge? What's the difference between a predetermined measurement outcome that's just unknown and an observable that exists as a probability distribution until a measurement projects it onto one specific outcome?
Or do we need "not predetermined" here to allow for the experimentator to have free will when setting the measurement parameters?
A while ago, I apparently had a wrong idea about the meaning of realism. I stood corrected:
greypilgrim said:Realism means that all measurement outcomes are predetermined.
Ilja said:No. This is only an (unfortunately very popular) misrepresentation. There exist realistic interpretations of quantum theory, and in these interpretations there is no such predetermination. Instead, what is misleadingly name "measurement result" is only a particular result of an interaction with something called "measurement device". The outcome of this particular experiment, in this situation, is predetermined, but depends not only on the state of the particle itself, but also on the state of the "measurement device". And, once for all the other imaginable "measurements", there is no "measurement device" and no corresponding state, these other "measurement results" remain undefined.
I'm still struggling with those subtleties. Would following formulation be more appropriate:
"Realism means, that every observable ##x## is attributed a probability distribution ##p_P(x)## that might depend on a set of parameters ##P## such as the settings of the measurement device (e.g. polarizer angle).
Local realism means, that only parameter set in the measurement's past light cone can affect this probability distribution."
Also, I don't quite see why "predetermined" is necessarily wrong. Doesn't the Bayesian interpretation of probability basically say that probability emerges as a lack of knowledge? What's the difference between a predetermined measurement outcome that's just unknown and an observable that exists as a probability distribution until a measurement projects it onto one specific outcome?
Or do we need "not predetermined" here to allow for the experimentator to have free will when setting the measurement parameters?