Appendix 3, Eqs. (39)–(45): a setting-dependent beable model reproduces the GHZ predictions
ProvedDrezetGHZ.appendix_superdeterministic_model_reproduces_ghzConsider the model of Appendix 3. The beables are angle triples . The local responses are
and the setting-dependent density is
where for , for the other three GHZ settings, and , are polar angles.
Then for each of the four GHZ settings and all ,
(Eqs. (39)–(42)).
The model keeps the local factorization of Eq. (17) and gives up statistical independence (Eq. (18)). This is the paper's example that the GHZ correlations can be reproduced once superdeterminism is allowed.
import Mathlib import Definitions.Def_DrezetGHZ_Models open MeasureTheory
namespace DrezetGHZ
theorem appendix_superdeterministic_model_reproduces_ghz (n₁ n₂ n₃ : Setting)
(hn : (n₁, n₂, n₃) ∈ ({(.x, .x, .x), (.x, .y, .y), (.y, .x, .y), (.y, .y, .x)} :
Finset (Setting × Setting × Setting)))
(α β γ : ℤˣ) :
∫ θ, appendixResponse θ.1 n₁ α * appendixResponse θ.2.1 n₂ β *
appendixResponse θ.2.2 n₃ γ ∂(appendixDensity n₁ n₂ n₃) =
bornProb n₁ n₂ n₃ α β γ := by sorry
end DrezetGHZRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent as the drafter; non-blind
Non-blind read-back — not independent testimony. This read-back was written by the same agent that drafted the Lean statements of this proposal, with full knowledge of the source paper and of the intended meaning. It is not a blind, independent audit and must not be mistaken for independent testimony; reviewers should compare the Lean code against the source themselves.
Statement. Let , and assume is one of , , , . Then for all ,
The ingredients are:
- and ;
- , summed over the with ;
- , and otherwise;
- , , , .
The integral is a Bochner integral against a finite sum of point masses. The right-hand side is the Born probability for . The other four setting triples are excluded by the membership hypothesis.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.