by minkwe » Sun Apr 06, 2014 10:50 am
Mikko,
I have been specific that I'm talking about mutual dependence. Two random variables are mutually dependent if knowing one of them gives you some information about the other. Because of the relationship between height, and weight, knowing the height of one person tells me something about his weight. Knowing the height of another person tells me nothing about the weight of the other person.
For a single set with A(a,λ), B(b,λ), A(a',λ), B(b',λ) well defined. Knowing E(a,b) tells you something about E(a,b') and E(a',b), knowing E(a',b') tells you something about E(a,b') and E(a',b), knowing E(a',b') and E(a,b) tells you exactly everything about E(a,b') and E(a',b). And when I say exactly, I'm not just talking about the final values obtained. I'm talking about all the individual outcomes that result in the final values. Remember that the inequality was not derived from the final values, it was derived from those individual values, by factorizing them *under the integral*! So the CHSH is a a very specific relationship between lists of outcomes derived by looking at the relationships between the individual values. It is not a relationship between averages as some tend to think. You cannot derive the CHSH starting from the final values *after* integration as is obvious by looking at the expression
S = E(a,b) - E(a,b') + E(a',b) + E(a',b')
Each of the terms on the right hand side has bounds [-1,+1].
1. What will the upper bound of S be if each of those terms is *independent* of each other (pick your choice of the meaning of independent).
2. Are the terms calculated from disjoint sets of particles in Aspect type experiment *independent* of each other? (use the same definition of independent you picked above).
Richard has already accepted that the terms from experiment are independent.
Let us attempt to prove the CHSH starting with the final expectation values and see that it can not be done if the terms are mutually independent. If the upper bound of S is considered to be 2, then when E(a,b), E(a',b) and E(a',b') are at their maximum values, of 1, then E(a,b') must be at its maximum value of 1. You'll notice that if you place an upper bound of 2 on that expression, then knowing three of the values, places very strong constraints on what the third value must be. Clearly they are mutually dependent not independent in that case.
Last edited by
minkwe on Sun Apr 06, 2014 12:06 pm, edited 1 time in total.