FOUNDATIONS OF QUANTUM MECHANICS
FOUNDATIONS OF QUANTUM MECHANICS
FOUNDATIONS OF QUANTUM MECHANICS
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VII. 5. STOCHASTIC HIDDEN VARIABLES 155<br />
Using (VII. 64), another Bell inequality can be derived for E(⃗a, ⃗ b) by means of the relation<br />
∫<br />
E(⃗a, ⃗ (<br />
b) = p⃗a, ⃗ b<br />
(1, 1, λ) − p ⃗a, ⃗ b<br />
(1, −1, λ) (VII. 66)<br />
Defining<br />
Λ<br />
− p ⃗a, ⃗ b<br />
(−1, 1, λ) + p ⃗a, ⃗ b<br />
(−1, −1, λ) dλ )<br />
∫<br />
(<br />
= p⃗a (1 | λ) − p ⃗a (−1 | λ) ) ( p ⃗b (1 | λ) − p ⃗b (−1 | λ) ) ρ(λ) dλ.<br />
Λ<br />
f (⃗a, λ) := p ⃗a (1 | λ) − p ⃗a (−1 | λ) (VII. 67)<br />
and<br />
g( ⃗ b, λ) := p ⃗b (1 | λ) − p ⃗b (−1 | λ), (VII. 68)<br />
we see that<br />
|f (⃗a, λ)| 1 and |g( ⃗ b, λ)| 1, (VII. 69)<br />
which brings us back to (VII. 25) and the subsequent equations so that again we obtain the Bell<br />
inequality (VII. 13). Violation of this Bell inequality means that (VII. 64) can not apply and<br />
therefore no HVT can guarantee both outcome independence (VII. 61) and parameter independence<br />
(VII. 62). □<br />
VII. 5. 1<br />
OUTCOME, PARAMETER AND SOURCE INDEPENDENCE<br />
The importance of the distinction between outcome and parameter independence was first brought<br />
to attention by J. Jarrett (1984).<br />
1. Outcome independence, (VII. 61), means that the probability of outcome b, for given λ, does<br />
not depend on the outcome a. This is motivated by the idea that λ gives a complete description of<br />
the state of the pair of particles; the variable λ contains an exhaustive specification of all factors<br />
which are relevant for the outcomes of measurement. Therefore, specifying the extra information that<br />
outcome a has occurred can, if λ is already known, not lead to new information on b.<br />
The purpose of the requirement can be illustrated by giving the next example, in which it is not<br />
satisfied. Suppose that two people, without looking, each draw a little ball out of a box containing two<br />
little balls, one black and one white. Hereafter they separate, one travels to New York, the other to<br />
Tokyo. Now consider a ‘stochastic hidden variable’ with probability 1 2<br />
for the little balls to be black<br />
or white. On arrival at Tokyo the traveler opens his hand and sees that his little ball is black, which<br />
instantaneously enables him to predict the color of the little ball in New York, it has to be white. Here<br />
the outcome of measurement of the one little ball does provide relevant information on the outcome<br />
of a measurement of the other little ball.