Matrix integral inequality for rational regularized Gram matrices
OpenRybinAI2026.P01.matrix_integral_inequality_rational_gramintegral-inequalitymatrix-analysispositive-definite-matrices
Let and be integers, and let be rational matrices. Regard their entries as real numbers, put , and define
For real positive-definite matrices , write
where is the unnormalized surface measure obtained from Euclidean Lebesgue volume by polar decomposition. The assertion is
Every matrix displayed above is positive definite, regardless of whether the rational matrices are singular. This is the restriction of Problem 1 to a countable family with rational entries and a common positive regularization parameter. It is the unresolved arithmetic case used by the approximation reduction of the general real-matrix problem; it is not asserted to have been proved.
Preamble
import Definitions.Def_rybin2026_p01_matrix_integral open Matrix RybinAI2026.P01
Formal statement
theorem RybinAI2026.P01.matrix_integral_inequality_rational_gram
{n : ℕ} (hn : 0 < n) (k : ℕ)
(P Q R S : Matrix (Fin n) (Fin n) ℚ) :
let p : Matrix (Fin n) (Fin n) ℝ := P.map (fun q : ℚ => (q : ℝ))
let q : Matrix (Fin n) (Fin n) ℝ := Q.map (fun q : ℚ => (q : ℝ))
let r : Matrix (Fin n) (Fin n) ℝ := R.map (fun q : ℚ => (q : ℝ))
let s : Matrix (Fin n) (Fin n) ℝ := S.map (fun q : ℚ => (q : ℝ))
let A := p.transpose * p + ((k : ℝ) + 1)⁻¹ • 1
let B := q.transpose * q + ((k : ℝ) + 1)⁻¹ • 1
let C := r.transpose * r + ((k : ℝ) + 1)⁻¹ • 1
let D := s.transpose * s + ((k : ℝ) + 1)⁻¹ • 1
distance (A + B) (C + D) ≤ max (distance A C) (distance B D) := by
sorrySource