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One permutation resource approximates any finite bipartite no-signaling law

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QAlgorithms.Papers.Independent.Intakethird100.P78.permutation_box_approximates_bipartite

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

prove2quantum

Let P(a,b∣x,y)P(a,b\mid x,y)P(a,b∣x,y) be a bipartite no-signaling conditional probability law on finite nonempty input alphabets X,YX,YX,Y and output alphabets A,BA,BA,B. For every ε>0\varepsilon>0ε>0, there exist a rational normalized no-signaling law QQQ, a common denominator d≥2d\ge2d≥2 for its probabilities, permutations fxyf^{xy}fxy of [d][d][d], and local relabelings rAx:[d]→Ar_A^x:[d]\to ArAx​:[d]→A and rBy:[d]→Br_B^y:[d]\to BrBy​:[d]→B, such that

Q(a,b∣x,y)=1d∣{u∈[d]:rAx(u)=a, rBy(fxy(u))=b}∣,δ(Q,P)<ε.Q(a,b\mid x,y)=\frac1d\bigl|\{u\in[d]:r_A^x(u)=a,\ r_B^y(f^{xy}(u))=b\}\bigr|, \qquad \delta(Q,P)<\varepsilon.Q(a,b∣x,y)=d1​​{u∈[d]:rAx​(u)=a, rBy​(fxy(u))=b}​,δ(Q,P)<ε.

Here δ\deltaδ is worst-input total variation, and a common denominator means that every entry of QQQ is a nonnegative integer divided by ddd. The relabelings access only the corresponding local input and local resource output.

The formula gives a single-resource simulation followed by local relabelings. The proof paragraph's printed class label R\mathcal RR is corrected to D\mathcal DD, in agreement with the lemma and its construction; independent moderation is pending.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P78
Formal statement
noncomputable section

open scoped BigOperators

namespace QAlgorithms.Papers.Independent.Intakethird100.P78

attribute [local instance] Classical.propDecidable Classical.decEq

/-- PDF p.8, Lemma 5 and its one-resource construction: for any positive
accuracy choose a rational normalized no-signaling approximant, then a
single permutation box and local relabelings that reproduce it exactly.
The common denominator is padded to at least two. The proof paragraph's
printed R is the class-label typo corrected to D here. Independent
source-correction moderation is pending. -/
theorem permutation_box_approximates_bipartite
    {X Y A B : Type} [Fintype X] [Fintype Y] [Fintype A] [Fintype B]
    [Nonempty X] [Nonempty Y] [Nonempty A] [Nonempty B]
    (P : BipartiteSystem X Y A B) (epsilon : ℝ) (hepsilon : 0 < epsilon) :
    ∃ (Q : BipartiteSystem X Y A B) (d : ℕ)
      (F : X → Y → Equiv.Perm (Fin d))
      (alice : X → Fin d → A) (bob : Y → Fin d → B),
      1 < d ∧ IsRational Q.prob ∧ HasCommonProbabilityDenominator Q.prob d ∧
        relabeledKernel F alice bob = Q.prob ∧
        simulationDistance Q.prob P.prob < epsilon := by sorry

end QAlgorithms.Papers.Independent.Intakethird100.P78

end
Source
Bipartite Units of Non-Locality, arXiv:0808.0651v4, PDF p. 8, Lemma 5: a permutation box approximates any bipartite no-signaling system
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What the Lean code literally says, in plain math · gpt-6.1-sol

Let X,Y,A,BX,Y,A,BX,Y,A,B be finite, nonempty types, and let P(x,y,a,b)P(x,y,a,b)P(x,y,a,b) be a real-valued array with nonnegative entries such that ∑a∈A∑b∈BP(x,y,a,b)=1\sum_{a\in A}\sum_{b\in B}P(x,y,a,b)=1∑a∈A​∑b∈B​P(x,y,a,b)=1 for every x,yx,yx,y, ∑bP(x,y,a,b)=∑bP(x,y′,a,b)\sum_bP(x,y,a,b)=\sum_bP(x,y',a,b)∑b​P(x,y,a,b)=∑b​P(x,y′,a,b) for every x,y,y′,ax,y,y',ax,y,y′,a, and ∑aP(x,y,a,b)=∑aP(x′,y,a,b)\sum_aP(x,y,a,b)=\sum_aP(x',y,a,b)∑a​P(x,y,a,b)=∑a​P(x′,y,a,b) for every x,x′,y,bx,x',y,bx,x′,y,b. For every real ε>0\varepsilon>0ε>0, there exist another array QQQ satisfying these same nonnegativity, normalization, and two marginal-independence conditions, a natural number d>1d>1d>1, a permutation Fx,yF_{x,y}Fx,y​ of Id={0,…,d−1}I_d=\{0,\ldots,d-1\}Id​={0,…,d−1} for every x,yx,yx,y, and maps αx:Id→A\alpha_x:I_d\to Aαx​:Id​→A and βy:Id→B\beta_y:I_d\to Bβy​:Id​→B, such that every entry of QQQ equals a rational number and, for each x,y,a,bx,y,a,bx,y,a,b, there exists k∈Nk\in\mathbb Nk∈N with Q(x,y,a,b)=k/dQ(x,y,a,b)=k/dQ(x,y,a,b)=k/d. These choices also satisfy, for every x,y,a,bx,y,a,bx,y,a,b,

Q(x,y,a,b)=∑u∈Id{1d,αx(u)=a and βy(Fx,y(u))=b,0,otherwise,Q(x,y,a,b)= \sum_{u\in I_d} \begin{cases} \dfrac1d,&\alpha_x(u)=a\ \text{and}\ \beta_y(F_{x,y}(u))=b,\\ 0,&\text{otherwise}, \end{cases}Q(x,y,a,b)=u∈Id​∑​⎩⎨⎧​d1​,0,​αx​(u)=a and βy​(Fx,y​(u))=b,otherwise,​

and

sup⁡(x,y)∈X×Y12∑a∈A∑b∈B∣Q(x,y,a,b)−P(x,y,a,b)∣<ε.\sup_{(x,y)\in X\times Y} \frac12\sum_{a\in A}\sum_{b\in B} |Q(x,y,a,b)-P(x,y,a,b)|<\varepsilon.(x,y)∈X×Ysup​21​a∈A∑​b∈B∑​∣Q(x,y,a,b)−P(x,y,a,b)∣<ε.

The nonempty output types AAA and BBB are allowed to be singletons.

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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