Demystifier said:
I don't see how is that related to the Bell's Eq. (2). Note that in (2), the quantities P, A and B are not probabilities. The only probability function in (2) is ##\rho(\lambda)##.
Sorry, I wasn't looking at the paper when I wrote my note. The connection is a little long, but it's the same assumption, at its root.
In Bell's formula, he has:
##P(\vec{a}, \vec{b}) = \int d\lambda \rho(\lambda) A(\vec{a}, \lambda) B(\vec{b}, \lambda)##
Let me rewrite this using ##E## instead of ##P##, so that I can use ##P## for a probability. Then we have:
##E(\vec{a}, \vec{b}) = \int d\lambda \rho(\lambda) A(\vec{a}, \lambda) B(\vec{b}, \lambda)##
In this formula, ##A(\vec{a}, \lambda)## is the result (##\pm 1##) of one measurement conducted using setting ##\vec{a}##, and ##B(\vec{b}, \lambda)## is the result of the other measurement conducted using setting ##\vec{b}##. ##E(\vec{a}, \vec{b})## is the correlation, which is the average of the products ##A B## over many measurements, for particular choices of ##\vec{a}## and ##\vec{b}##. ##\rho(\lambda)## is the probability (or probability density) for the hidden variable ##\lambda##.
Instead of correlations, we can use joint probabilities. Let ##P(A=x, B = y \ |\ \vec{a}, \vec{b})## be the probability of the first measurement producing result ##x## and the second measurement producing result ##y## given settings ##\vec{a}## and ##\vec{b}##. Then (under the assumption of complete symmetry between the results +1 and -1 and the symmetry between measurements A and B):
##E(\vec{a}, \vec{b}) = 4 P(A=1, B = 1 \ |\ \vec{a}, \vec{b}) - 1##
Bell's form for ##E## can be obtained under the assumptions that:
- ##P(A = x, B = y \ |\ \vec{a}, \vec{b}) = \int d\lambda \rho(\lambda) P(A = x \ |\ \vec{a}, \lambda) P(B = y \ |\ \vec{b}, \lambda)##
- ##P(A = x \ |\ \vec{a}, \lambda) = 0\ \text{or}\ 1## (deterministic function of settings and ##\lambda##)
- ##P(B = y \ |\ \vec{b}, \lambda) = 0\ \text{or}\ 1## (deterministic function of settings and ##\lambda##)
Assumptions 2 and 3 are actually derivable from the assumption of perfect correlations/anti-correlations for the case of identical settings for the two measurements.
So Bell's assumed form of the correlation function is equivalent to the assumption that conditional probabilities factor.