Identification with the paper's five-piece measure-preserving graph map #
The five cases of Example 3.10, with exactly the source's endpoint convention.
Equations
- One or more equations did not get rendered due to their size.
Instances For
noncomputable def
Papers.AnsariRockelSteinmassl2026RhoGamma.fivePieceMap
(d : ℝ)
(hd : d ∈ Set.Icc 0 (1 / 2))
(u : ↑unitInterval)
:
Equations
Instances For
theorem
Papers.AnsariRockelSteinmassl2026RhoGamma.elementary_shuffle_graph
{s : ℝ}
(hs : 1 ≤ s)
:
have A := ProbabilityTheory.Copula.RankRegion.RhoGamma.AuxiliaryCertificate.halfShift s hs;
∀ᵐ (x : Fin 2 → ↑unitInterval) ∂A.copula.toMeasure, ↑(x 1) = fivePieceMapReal (A.z / 2) ↑(x 0)
The five-segment support identifies the source's graph map almost everywhere.
theorem
Papers.AnsariRockelSteinmassl2026RhoGamma.elementary_shuffle_law
{s : ℝ}
(hs : 1 ≤ s)
(hd : (ProbabilityTheory.Copula.RankRegion.RhoGamma.AuxiliaryCertificate.halfShift s hs).z / 2 ∈ Set.Icc 0 (1 / 2))
:
let A := ProbabilityTheory.Copula.RankRegion.RhoGamma.AuxiliaryCertificate.halfShift s hs;
A.copula.toMeasure = MeasureTheory.Measure.map (fun (u : ↑unitInterval) => ![u, fivePieceMap (A.z / 2) hd u]) MeasureTheory.volume
Example 3.10: equality of probability measures with the uniform graph construction.
theorem
Papers.AnsariRockelSteinmassl2026RhoGamma.elementary_shuffle_measurePreserving
{s : ℝ}
(hs : 1 ≤ s)
(hd : (ProbabilityTheory.Copula.RankRegion.RhoGamma.AuxiliaryCertificate.halfShift s hs).z / 2 ∈ Set.Icc 0 (1 / 2))
:
The exact piecewise map preserves the uniform law.