The law of (U, V_b) (Proposition 5.3, first statement) #
U ~ U(0,1) and an independent fair coin ε (Bool); V_b = U if U ∉ (b/2, 1 - b/2) and
V_b = (2U + b)/4 + ε (1 - b)/2 otherwise. We show that the law of (U, V_b) is the measure of
the copula R_b, so that R_b is the copula of (U, V_b).
The fair coin: P(ε = 0) = P(ε = 1) = 1/2 (false ↦ 0, true ↦ 1).
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The real-valued formula for V_b as a function of (U, ε).
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V_b as a point of the unit interval.
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theorem
Papers.OrendayLaresRockel2026XiBeta.coe_Vb
{b : ℝ}
(hb : b ∈ Set.Icc 0 1)
(u : ↑unitInterval)
(e : Bool)
:
theorem
Papers.OrendayLaresRockel2026XiBeta.measurable_Vb
(b : ℝ)
:
Measurable fun (p : ↑unitInterval × Bool) => Vb b p.1 p.2
noncomputable def
Papers.OrendayLaresRockel2026XiBeta.Xb
(b : ℝ)
(p : ↑unitInterval × Bool)
:
Fin 2 → ↑unitInterval
The random vector (U, V_b) on I × Bool.
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noncomputable def
Papers.OrendayLaresRockel2026XiBeta.lawVb
(b : ℝ)
:
MeasureTheory.Measure (Fin 2 → ↑unitInterval)
The law of (U, V_b).
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theorem
Papers.OrendayLaresRockel2026XiBeta.measure_eq_of_real_Iic_eq
(μ ν : MeasureTheory.Measure (Fin 2 → ↑unitInterval))
[MeasureTheory.IsProbabilityMeasure μ]
[MeasureTheory.IsProbabilityMeasure ν]
(h : ∀ (w : Fin 2 → ↑unitInterval), μ.real (Set.Iic w) = ν.real (Set.Iic w))
:
Two probability measures on the unit square with equal distribution functions coincide.