- #211
billschnieder
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I'm not postulating anything.Delta Kilo said:If you postulate that the two forms are equivalent, then it immediately and automatically follows from the math that the probability has this particular form I have given you.
V is the experimental *conditions* under which A and B are obtained. P(AB|V) is thus appropriate and in that expression V is the probability space.What is V? Earlier it appeared to be either a label identifying particular experimental setup, or a set of parameters including settings a and b. Now you tell me it is a probability space?
For the sake of illustration, assume the λ is discrete for our experiment V, ieAnd ρ(λ) is defined over V?.
[itex]E(AB)_V = \sum_{\lambda} (A^{\lambda}_a\cdot B^{\lambda}_b)P(\lambda|V), \;\;\;\; \lambda \in [\lambda_1, \lambda_2, \lambda_3, \lambda_4][/itex]
[itex]= A^{\lambda_1}_a\cdot B^{\lambda_1}_b\cdot P(\lambda_1|V)
+ A^{\lambda_2}_a\cdot B^{\lambda_2}_b\cdot P(\lambda_2|V)
+ A^{\lambda_3}_a\cdot B^{\lambda_3}_b\cdot P(\lambda_3|V)
+ A^{\lambda_4}_a\cdot B^{\lambda_4}_b\cdot P(\lambda_4|V)
[/itex]
This expression is the same as Bell's (2), for the discrete lambda case, with "a" and "b" added for ease of comparison. Within the sum, [itex]A^{\lambda}_a[/itex] is a function of lambda, but once we expand it out, we just have outcomes.
See above.And the most important, where did the settings a and b go?
It does not matter. My notation is much better than yours because it makes it clear we are calculating the expectation value for the product A*B where A and B are outcomes. Besides, "a" and "b" are not variables, they are fixed settings for a given experiment V.Can we please get the notation straight, so that E(a,b) is a function of a and b as it should be?
You do not say that but that is what you mean. You want the probability to be factorable. All the math you are doing is just a convoluted way of saying the same thing so I'm just being blunt.Where did I say anything at all about P(AB|X) = P(A|X)P(B|X)?
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