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A full-support optimal product setting law exists

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QAlgorithms.Papers.Independent.Intakethird100.P80.uncorrelated_attainment

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Fix a 2×2×22\times2\times22×2×2 quantum experiment QQQ; properness is not required. Let ΣUC\Sigma_{\rm UC}ΣUC​ be the product setting laws and u(σ)=inf⁡π∈ΠD2(Qσ∥Pσ;π)u(\sigma)=\inf_{\pi\in\Pi}D_2(Q_\sigma\|P_{\sigma;\pi})u(σ)=infπ∈Π​D2​(Qσ​∥Pσ;π​). There exists σ∗∈ΣUC\sigma^*\in\Sigma_{\rm UC}σ∗∈ΣUC​ with every joint setting having positive probability such that

u(σ∗)=sup⁡σ∈ΣUCu(σ).u(\sigma^*)=\sup_{\sigma\in\Sigma_{\rm UC}}u(\sigma).u(σ∗)=σ∈ΣUC​sup​u(σ).

Thus an optimal independent sampling design exists with full support even when the experiment is local.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P80
Formal statement
noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P80

open scoped BigOperators ENNReal Topology Classical

open MeasureTheory Filter

/-- PDF p.12, final sentence: a full-support PRODUCT maximizer exists, also for improper Q. -/
theorem uncorrelated_attainment {S : BellExperiment} (hS : TwoByTwo S)
    (hbinary : ∀ i a, S.outcomes i a = 2) (Q : Table S) (hQ : NonlocalityProof Q) :
    ∃ s : Sigma S, Uncorrelated s.1 ∧ PositiveCoordinates s.1 ∧
      lowerValue Q s.1 = uncorrelatedStrength Q := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P80

end
Source
The statistical strength of nonlocality proofs, arXiv:quant-ph/0307125v2, PDF p. 12, Unnumbered consequence of Theorem 1: optimal product settings exist
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What the Lean code literally says, in plain math · gpt-6.1-sol

Let SSS be a Bell experiment with exactly two parties, exactly two settings per party, and exactly two outcomes at every setting. Thus its setting tuples and measured outcome tuples are pairs in {0,1}2\{0,1\}^2{0,1}2, and a potential assignment vvv specifies a bit vi(b)v_i(b)vi​(b) for each party i∈{0,1}i\in\{0,1\}i∈{0,1} and setting b∈{0,1}b\in\{0,1\}b∈{0,1}; let V\mathcal VV be the set of these assignments. Let Qa(x)Q_a(x)Qa​(x) be a real table such that each QaQ_aQa​ is a probability distribution, its marginals on every subset of parties agree whenever the settings on that subset agree, and it has a finite dimensional quantum representation: there exist positive local dimensions, a positive semidefinite joint matrix ρ\rhoρ of trace 111, and positive semidefinite local measurement matrices summing to the identity for each party and setting, with Qa(x)Q_a(x)Qa​(x) equal to the real part of the trace of their tensor product times ρ\rhoρ. Write Δ(E)\Delta(E)Δ(E) for the probability distributions on a finite set EEE, and define Pp(a,x)=∑v: vi(ai)=xi ∀ip(v)P_p(a,x)=\sum_{v:\,v_i(a_i)=x_i\ \forall i}p(v)Pp​(a,x)=∑v:vi​(ai​)=xi​ ∀i​p(v) for p∈Δ(V)p\in\Delta(\mathcal V)p∈Δ(V). For two finite probability distributions q,rq,rq,r, let D(q∥r)=∞D(q\Vert r)=\inftyD(q∥r)=∞ if some coordinate has q>0q>0q>0 and r=0r=0r=0; otherwise let it be max⁡{0,∑z:q(z)≠0q(z)log⁡2(q(z)/r(z))}\max\{0,\sum_{z:q(z)\ne0}q(z)\log_2(q(z)/r(z))\}max{0,∑z:q(z)=0​q(z)log2​(q(z)/r(z))}, regarded as an extended nonnegative real. Define

F(s)=inf⁡p∈Δ(V)D((s(a)Qa(x))a,x ∥ (s(a)Pp(a,x))a,x).F(s)=\inf_{p\in\Delta(\mathcal V)} D\bigl((s(a)Q_a(x))_{a,x}\,\Vert\,(s(a)P_p(a,x))_{a,x}\bigr).F(s)=p∈Δ(V)inf​D((s(a)Qa​(x))a,x​∥(s(a)Pp​(a,x))a,x​).

Then there exists s∈Δ({0,1}2)s\in\Delta(\{0,1\}^2)s∈Δ({0,1}2) such that s(a)>0s(a)>0s(a)>0 for every setting tuple aaa, such that s(a0,a1)=u0(a0)u1(a1)s(a_0,a_1)=u_0(a_0)u_1(a_1)s(a0​,a1​)=u0​(a0​)u1​(a1​) for some u0,u1∈Δ({0,1})u_0,u_1\in\Delta(\{0,1\})u0​,u1​∈Δ({0,1}), and such that

F(s)=sup⁡t∈Δ({0,1}2)t(a0,a1)=w0(a0)w1(a1), w0,w1∈Δ({0,1})F(t).F(s)= \sup_{\substack{t\in\Delta(\{0,1\}^2)\\ t(a_0,a_1)=w_0(a_0)w_1(a_1),\ w_0,w_1\in\Delta(\{0,1\})}}F(t).F(s)=t∈Δ({0,1}2)t(a0​,a1​)=w0​(a0​)w1​(a1​), w0​,w1​∈Δ({0,1})​sup​F(t).

The supremum includes product distributions with zero coordinates, although the asserted attaining distribution has every coordinate strictly positive.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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