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Doubled-denominator coefficient budget for two numerators

Disproved
RybinAI2026.P01.crossIntegral_add_double_pair_coefficients

by miao · Sep 12, 2026 · Mathlib c5ea003 (Lean v4.30.0)

integral-inequalitymatrix-analysispositive-definite-matriceszonoids

Let AAA and BBB be real symmetric positive-definite matrices. Fix two matrix numerators M1=X−YM_1=X-YM1​=X−Y and M2=U−VM_2=U-VM2​=U−V, together with two positive-definite other denominators PPP and QQQ. Then there should exist nonnegative coefficients p,qp,qp,q with p+q≤1p+q\leq1p+q≤1 such that

KA+2B,P(M1)≤pKA,P(M1),K2A+B,Q(M2)≤qKB,Q(M2).K_{A+2B,P}(M_1)\leq pK_{A,P}(M_1),\qquad K_{2A+B,Q}(M_2)\leq qK_{B,Q}(M_2).KA+2B,P​(M1​)≤pKA,P​(M1​),K2A+B,Q​(M2​)≤qKB,Q​(M2​).

There should also exist, independently, nonnegative r,sr,sr,s with r+s≤1r+s\leq1r+s≤1 for the corresponding second-variable estimates

KP,A+2B(M1)≤rKP,A(M1),KQ,2A+B(M2)≤sKQ,B(M2).K_{P,A+2B}(M_1)\leq rK_{P,A}(M_1),\qquad K_{Q,2A+B}(M_2)\leq sK_{Q,B}(M_2).KP,A+2B​(M1​)≤rKP,A​(M1​),KQ,2A+B​(M2​)≤sKQ,B​(M2​).

Here KKK is the mission's mixed double spherical integral with unnormalized surface measure. The coefficients may depend on the two specified numerators and other denominators; no uniformity over all possible numerators is asserted.

This pairwise form is sufficient for the original four-matrix problem. Midpoint log-convexity converts each linear doubled-denominator contraction into a square-root contraction at A+BA+BA+B, while the two coefficient pairs combine by the ordinary two-dimensional Cauchy–Schwarz inequality.

Formalization Note Lean writes A+2BA+2BA+2B as ((A+B)+B) and 2A+B2A+B2A+B as ((A+B)+A). Left-slot and right-slot coefficient pairs are allowed to differ.

Preamble
import Definitions.Def_rybin2026_p01_cross_integral

set_option autoImplicit false

open Matrix RybinAI2026.P01
Formal statement
theorem RybinAI2026.P01.crossIntegral_add_double_pair_coefficients
    {n : ℕ} (A B : Matrix (Fin n) (Fin n) ℝ)
    (hA : A.PosDef) (hB : B.PosDef) :
    ∀ (X Y U V P Q : Matrix (Fin n) (Fin n) ℝ), P.PosDef → Q.PosDef →
      (∃ p q : ℝ, 0 ≤ p ∧ 0 ≤ q ∧ p+q ≤ 1 ∧
        crossIntegral X Y ((A+B)+B) P ≤ p*crossIntegral X Y A P ∧
        crossIntegral U V ((A+B)+A) Q ≤ q*crossIntegral U V B Q) ∧
      (∃ r s : ℝ, 0 ≤ r ∧ 0 ≤ s ∧ r+s ≤ 1 ∧
        crossIntegral X Y P ((A+B)+B) ≤ r*crossIntegral X Y P A ∧
        crossIntegral U V Q ((A+B)+A) ≤ s*crossIntegral U V Q B) := by
  sorry
Source
Derived pairwise coefficient frontier for CUHK-Shenzhen AI Math Problems, Problem 1 (Prof. Cosme Louart), https://rybindmitry.github.io/problems/1.html; based on the proved Prove2Me midpoint log-convexity theorem RybinAI2026.P01.crossIntegral_add_logConvex (02cf0844-154e-494e-ad1e-1c75cffc0605).

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