Haar reindexing for the proper R-324 convolution #
The proper cross-block estimate contains two surviving inverse-square connector edges and one translation-invariant inserted kernel. This file performs the exact product-Haar shear that exposes the binary convolution of the two connector edges. No inequality is used here.
Product-space integrand with a generic kernel on the endpoint difference.
Equations
- Anderson4D.r324KernelTriple q u v p = Anderson4D.invSqKer (u - p.1) * q (p.1 - p.2) * Anderson4D.invSqKer (p.2 - v)
Instances For
The affine shear (h,z) ↦ (h+z+v,z+v) preserves product Haar
measure. In these coordinates h is the inserted endpoint difference
and z is the right connector displacement.
theorem
Anderson4D.integrable_r324KernelTriple_shear
(q : T4 → ℝ)
(u v : T4)
(hint : MeasureTheory.Integrable (r324KernelTriple q u v) (paperMeasure.prod paperMeasure))
:
MeasureTheory.Integrable (fun (p : T4 × T4) => r324KernelTriple q u v (p.1 + (p.2 + v), p.2 + v))
(paperMeasure.prod paperMeasure)
theorem
Anderson4D.integral_r324KernelTriple_eq_sheared
(q : T4 → ℝ)
(u v : T4)
:
∫ (p : T4 × T4), r324KernelTriple q u v p ∂paperMeasure.prod paperMeasure = ∫ (p : T4 × T4), r324KernelTriple q u v (p.1 + (p.2 + v), p.2 + v) ∂paperMeasure.prod paperMeasure
theorem
Anderson4D.integral_r324KernelTriple_sheared_eq_iterated
(q : T4 → ℝ)
(u v : T4)
(hint : MeasureTheory.Integrable (r324KernelTriple q u v) (paperMeasure.prod paperMeasure))
:
theorem
Anderson4D.integrable_r324KernelTriple_weightedBinary
(q : T4 → ℝ)
(u v : T4)
(hint : MeasureTheory.Integrable (r324KernelTriple q u v) (paperMeasure.prod paperMeasure))
:
MeasureTheory.Integrable (fun (h : T4) => q h * ∫ (z : T4), invSqKer (u - v - h - z) * invSqKer z ∂paperMeasure)
paperMeasure
theorem
Anderson4D.integral_r324KernelTriple_eq_weightedBinary
(q : T4 → ℝ)
(u v : T4)
(hint : MeasureTheory.Integrable (r324KernelTriple q u v) (paperMeasure.prod paperMeasure))
:
Exact Fubini form after the product-Haar shear. The right-hand side
is the inserted kernel averaged against the binary inverse-square
convolution at u-v-h.