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Papers.Rockel2026ExactBlest.ExactBlestClaims

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Further claims of the revised manuscript #

Checks for statements in exact-blest-regions.tex that sit outside the labeled results or were added in the revision: the dual-certificate lemma for general continuous costs, the derivative formulas for Υ used in the corollary on (ν,νᵀ), the symmetries (and the failure of central symmetry) of the two regions, the trivial bound 1/2, the numerical fibres in the discussion, the non-extremality of A_w for w > 1/2, the shuffle description of the ρ - η extremizers, and the values quoted in the figure captions.

The dual-certificate lemma #

theorem Papers.Rockel2026ExactBlest.dual_certificate (C : ProbabilityTheory.Copula 2) (c : ℝ → ℝ → ℝ) (φ ψ : ℝ → ℝ) (hc : Continuous (Function.uncurry c)) (hφ : Continuous φ) (hψ : Continuous ψ) (hdual : ∀ x ∈ Set.Icc 0 1, ∀ z ∈ Set.Icc 0 1, c x z ≤ φ x + ψ z) :
∫ (p : Fin 2 → ↑unitInterval), c ↑(p 0) ↑(p 1) ∂C.toMeasure ≤ (∫ (u : ↑unitInterval), φ ↑u) + ∫ (u : ↑unitInterval), ψ ↑u ∧ (∫ (p : Fin 2 → ↑unitInterval), c ↑(p 0) ↑(p 1) ∂C.toMeasure = (∫ (u : ↑unitInterval), φ ↑u) + ∫ (u : ↑unitInterval), ψ ↑u ↔ ∀ᵐ (p : Fin 2 → ↑unitInterval) ∂C.toMeasure, φ ↑(p 0) + ψ ↑(p 1) = c ↑(p 0) ↑(p 1))

Part (a) of the dual-certificate lemma: for any coupling of two uniform laws (the law of an arbitrary copula), any continuous cost c, and continuous potentials with c ≤ φ ⊕ ψ on the unit square, the expected cost is at most ∫ φ + ∫ ψ, with equality exactly when the coupling is concentrated on the contact set.

theorem Papers.Rockel2026ExactBlest.dual_certificate_graph (C : ProbabilityTheory.Copula 2) (T : ↑unitInterval → ↑unitInterval) (hT : Measurable T) (N₁ N₂ : Finset ℝ) (hK : ∀ᵐ (p : Fin 2 → ↑unitInterval) ∂C.toMeasure, p 1 = T (p 0) ∨ ↑(p 0) ∈ N₁ ∨ ↑(p 1) ∈ N₂) :

Part (b) of the dual-certificate lemma: a coupling concentrated on the graph of a measurable map over the first coordinate, up to finitely many vertical and horizontal lines, is the law of (X, T(X)).

theorem Papers.Rockel2026ExactBlest.dual_certificate_reverse_graph (C : ProbabilityTheory.Copula 2) (T : ↑unitInterval → ↑unitInterval) (hT : Measurable T) (N₁ N₂ : Finset ℝ) (hK : ∀ᵐ (p : Fin 2 → ↑unitInterval) ∂C.toMeasure, p 0 = T (p 1) ∨ ↑(p 0) ∈ N₁ ∨ ↑(p 1) ∈ N₂) :

Part (b) with the roles of the coordinates exchanged.

Normalization and the two theorems in the form stated in the introduction #

The identity 2r - Φ(r) = -Φ(-r) stated after the definition of Φ.

In Theorem 1.1, the unique lower-boundary copula is the survival copula of the upper one.

In Theorem 1.2, the unique lower-boundary copula is the transpose of the upper one.

The fibre above η = e has length 2 Υ(e), the largest asymmetry at that η.

Symmetries of the two regions #

C ↦ C^⊥ negates (ρ,ν), so the (ρ,ν)-region is symmetric about the origin.

Survival reflects every (ρ,ν)-fibre about the diagonal.

Transposition reflects every (η,ν)-fibre about the diagonal.

The (η,ν)-region is not symmetric about the origin.

The bound 1/2 from the (ρ,ν)-region alone #

Derivatives of Υ #

theorem Papers.Rockel2026ExactBlest.hasDerivAt_graphGap (e : ℝ) (he : -1 < e) :
HasDerivAt graphGap (1 - 4 / 3 * 2 ^ (-1 / 3) * (1 + e) ^ (1 / 3)) e
theorem Papers.Rockel2026ExactBlest.hasDerivWithinAt_etaGap_graph (e : ℝ) (he : e ∈ Set.Ico (-3 / 4) 1) :
HasDerivWithinAt etaGap (1 - 4 / 3 * 2 ^ (-1 / 3) * (1 + e) ^ (1 / 3)) (Set.Ici (-3 / 4)) e

The derivative of Υ on [-3/4,1), one-sided at -3/4.

theorem Papers.Rockel2026ExactBlest.hasDerivAt_etaGap_graph (e : ℝ) (he : e ∈ Set.Ioo (-3 / 4) 1) :
HasDerivAt etaGap (1 - 4 / 3 * 2 ^ (-1 / 3) * (1 + e) ^ (1 / 3)) e
theorem Papers.Rockel2026ExactBlest.cubeRoot_factor (e : ℝ) (he : -1 ≤ e) :
0 ≤ 2 ^ (-1 / 3) * (1 + e) ^ (1 / 3) ∧ (2 ^ (-1 / 3) * (1 + e) ^ (1 / 3)) ^ 3 = (1 + e) / 2
theorem Papers.Rockel2026ExactBlest.graphGap_deriv_bounds (e : ℝ) (he : e ∈ Set.Icc (-3 / 4) 1) :
1 - 4 / 3 * 2 ^ (-1 / 3) * (1 + e) ^ (1 / 3) ∈ Set.Icc (-1 / 3) (1 / 3)

Υ'(e) ∈ [-1/3, 1/3] on the graph branch.

The inverse parameter e ↦ a of the randomized branch, as a real function.

Equations
Instances For
    theorem Papers.Rockel2026ExactBlest.etaB_open (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    etaB a ∈ Set.Ioo (-1) (-3 / 4)
    theorem Papers.Rockel2026ExactBlest.randomParam_etaB (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    theorem Papers.Rockel2026ExactBlest.hasDerivAt_randomParam (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    HasDerivAt randomParam (-((1 - a) ^ 2 * (1 + a) * (3 * a ^ 2 + 2 * a + 1)) / (4 * a ^ 3))⁻¹ (etaB a)
    theorem Papers.Rockel2026ExactBlest.hasDerivAt_etaGap_param (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    HasDerivAt etaGap ((3 * a - 1) / (1 + a)) (etaB a)

    Along the parametric branch, Υ'(e_a) = (3a-1)/(1+a).

    theorem Papers.Rockel2026ExactBlest.param_slope_bounds (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    (3 * a - 1) / (1 + a) ∈ Set.Ioo (1 / 3) 1
    theorem Papers.Rockel2026ExactBlest.param_slope_ratio (a : ℝ) (ha : 1 / 2 < a) (ha1 : a < 1) :
    -((1 - a) ^ 2 * (3 * a - 1) * (3 * a ^ 2 + 2 * a + 1)) / (4 * a ^ 3) / (-((1 - a) ^ 2 * (1 + a) * (3 * a ^ 2 + 2 * a + 1)) / (4 * a ^ 3)) = (3 * a - 1) / (1 + a)

    Dividing the two a-derivatives gives the slope (3a-1)/(1+a), as in the proof.

    Numerical fibres in the discussion #

    At ν = 0, the νᵀ-fibre is longer than the ν-fibre at ρ = 0.

    Remark on randomization and the by-product #

    theorem Papers.Rockel2026ExactBlest.familyA_not_extremal (w : ↑unitInterval) (hw : 1 / 2 < ↑w) (hw1 : ↑w < 1) :

    For w ∈ (1/2,1), A_w lies strictly below the upper boundary.

    In Lemma 4.1, η(B_a) → -1 as a → 1.

    theorem Papers.Rockel2026ExactBlest.figure_values :
    etaB (3 / 4) = -2257 / 2304 ∧ 1 / (2 * (3 / 4)) = 2 / 3 ∧ (2 * (3 / 4) - 1) / (2 * (3 / 4)) = 1 / 3

    The branch probabilities in the right panel of the extremizer figure, for a = 3/4.

    The panels of the Spearman figure: c = 1/4, 1/2, 3/4 give ρ = 7/8, 0, -7/8.

    The shuffle of M that is countermonotone on [0,3/4] and comonotone on [3/4,1].

    Equations
    • One or more equations did not get rendered due to their size.
    Instances For

      The unique maximizer of ρ - η is A_(1/4)^⊥, which is this shuffle of M.

      The unique minimizer (A_(1/4)ᵀ)^⊥ is the survival copula of the maximizer.