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Lower-triangular Bruhat factorization of a square matrix

Proved
IntMul.OpenAI.lower_triangular_factorization

by xuanji · Oct 12, 2026 · Mathlib 0df444a (Lean v4.33.1)

integer-multiplicationlinear-algebra

Let KKK be a field and AAA an m×mm\times mm×m matrix over KKK of rank aaa. Then there is a factorization

A=E1 Π E2,A = E_1\,\Pi\,E_2,A=E1​ΠE2​,

where E1,E2E_1,E_2E1​,E2​ are lower triangular with nonzero diagonal entries (hence invertible), and Π\PiΠ is a partial permutation matrix. That is, every entry of Π\PiΠ is 000 or 111, each row and each column contains at most one 111, and Π\PiΠ has exactly aaa entries equal to 111.

This is Lemma 9 of the OpenAI preprint Integer multiplication below nlog⁡nn\log nnlogn. It is the Bruhat factorization of a possibly singular matrix with the coordinate order reversed (Grigor'ev, Proposition 14(c)), arranged so that both triangular factors act on tape fields in the direction a streaming pass can update. In Lemma 10 of the preprint it turns a rational address shear (H,D)↦(H+AD,D)(H,D)\mapsto(H+AD,D)(H,D)↦(H+AD,D) into exactly rank⁡A\operatorname{rank}ArankA interchanges of digit fields plus linear work. This is the source of the rank saving behind every κ>0\kappa>0κ>0 bound in the campaign.

Formalization Note "Lower triangular" means Eij=0E_{ij}=0Eij​=0 for i<ji<ji<j in the order of Fin m. The paper states the result over Q\mathbb QQ; here it is stated over any field.

Preamble
import Mathlib
Formal statement
namespace IntMul.OpenAI

theorem lower_triangular_factorization {m : ℕ} {K : Type*} [Field K] [DecidableEq K]
    (A : Matrix (Fin m) (Fin m) K) :
    ∃ E₁ P E₂ : Matrix (Fin m) (Fin m) K,
      (∀ i j, i < j → E₁ i j = 0) ∧ (∀ i, E₁ i i ≠ 0) ∧
      (∀ i j, i < j → E₂ i j = 0) ∧ (∀ i, E₂ i i ≠ 0) ∧
      (∀ i j, P i j = 0 ∨ P i j = 1) ∧
      (∀ i j j', P i j = 1 → P i j' = 1 → j = j') ∧
      (∀ i i' j, P i j = 1 → P i' j = 1 → i = i') ∧
      (Finset.univ.filter fun x : Fin m × Fin m => P x.1 x.2 = 1).card = A.rank ∧
      A = E₁ * P * E₂ := by sorry

end IntMul.OpenAI
Source
OpenAI, Integer multiplication below n log n (preprint, 23 Sep 2026), https://github.com/openai/math/tree/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Integer-multiplication-below-n-log-n-September-23-2026 , Lemma 9 (Section 4.1); D. Grigor'ev, Appendix A.2, Proposition 14(c)

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