Bell inequalities demonstration

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SUMMARY

The discussion centers on the derivation of the correlation function C(x y) defined in the thesis at the specified URL, particularly the boundaries of the function, which are established as −1 ≤ C(x y) ≤ 1. This relationship is derived from the principles of positivity of probabilities, where P(± ±' | xy) must be greater than or equal to zero, and the normalization condition that the sum of all probabilities equals one. These foundational concepts in probability theory underpin the validity of the Bell inequalities.

PREREQUISITES
  • Understanding of probability theory, specifically conditional probabilities
  • Familiarity with Bell inequalities in quantum mechanics
  • Knowledge of correlation functions in statistical mechanics
  • Basic comprehension of normalization in probability distributions
NEXT STEPS
  • Study the derivation of Bell inequalities in quantum mechanics
  • Explore the implications of correlation functions in quantum entanglement
  • Learn about the role of probability normalization in statistical analysis
  • Investigate advanced topics in quantum mechanics related to measurement theory
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Researchers in quantum mechanics, physicists studying entanglement, and students interested in the mathematical foundations of Bell inequalities will benefit from this discussion.

microsansfil
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I try to understand why the correlator boundaries is −1 ≤ C(x y) ≤ 1
Hello,

In this thesis https://tel.archives-ouvertes.fr/tel-01743877/document at "1.2.2 Bell inequalities" page 7-8 it's define a correlation function :

C(x y) = P(+ + |x y) + P(− − |x y) − P(+ − |x y) − P(− + |x y), with −1 ≤ C(x y) ≤ 1.

How do one get to this relationship −1 ≤ C(x y) ≤ 1 ?

Thanks
Patrick
 
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microsansfil said:
Summary:: I try to understand why the correlator boundaries is −1 ≤ C(x y) ≤ 1

Hello,

In this thesis https://tel.archives-ouvertes.fr/tel-01743877/document at "1.2.2 Bell inequalities" page 7-8 it's define a correlation function :

C(x y) = P(+ + |x y) + P(− − |x y) − P(+ − |x y) − P(− + |x y), with −1 ≤ C(x y) ≤ 1.

How do one get to this relationship −1 ≤ C(x y) ≤ 1 ?

Thanks
Patrick
It's just a consequence of positivity $$P(\pm \pm' | xy) \geq 0$$ and normalisation $$P(++|xy) + P(+-|xy) + P(-+|xy) + P(--|xy) = 1$$ of the probabilities.
 
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