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Mixed polynomial matrix (Eq. 12.8)

Definition
DiscreteConvex_MixedMatrices_IsMixedPolyMatrix

by Shuze Chen · Sep 28, 2026 · Mathlib 0df444a (Lean v4.33.1)

algebradiscrete-convex-analysis

A(s)=Q(s)+T(s)A(s) = Q(s) + T(s)A(s)=Q(s)+T(s) (Eq. (12.8)) is a mixed polynomial matrix with respect to (K,F)(K,F)(K,F): Q(s)Q(s)Q(s) has all coefficients over KKK (axiom (MP-Q)) embedded into F[s]F[s]F[s] via Polynomial.map, T(s)T(s)T(s) has coefficients over FFF (axiom (MP-T)), and the family of all nonzero coefficients of all entries of T(s)T(s)T(s) (indexed by row, column, and degree) is algebraically independent over KKK.

(Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.355, Eq. (12.8).)

Definition code
import Mathlib

/-!
Murota, *Discrete Convex Analysis*, SIAM 2003, p.355, Eq. (12.8), axioms (MP-Q), (MP-T): the
definition of a mixed polynomial matrix, in `DiscreteConvex.MixedMatrices`.
-/

namespace DiscreteConvex.MixedMatrices

/-- `A(s) = Q(s) + T(s)` (Eq. (12.8)) is a **mixed polynomial matrix** with respect to `(K, F)`:
`Q(s)` has all coefficients over `K` (axiom (MP-Q)) embedded into `F[s]` via `Polynomial.map`,
`T(s)` has coefficients over `F` (axiom (MP-T)), and the family of all nonzero coefficients of all
entries of `T(s)` is algebraically independent over `K`. -/
def IsMixedPolyMatrix {R K F : Type*} [Fintype R] [Field K] [Field F] [Algebra K F]
    (A : Matrix R R (Polynomial F)) (Q : Matrix R R (Polynomial K)) (T : Matrix R R (Polynomial F)) :
    Prop :=
  (∀ i j, A i j = (Q i j).map (algebraMap K F) + T i j) ∧
  AlgebraicIndependent K
    (fun e : {p : R × R × ℕ // (T p.1 p.2.1).coeff p.2.2 ≠ 0} =>
      (T e.1.1 e.1.2.1).coeff e.1.2.2)

end DiscreteConvex.MixedMatrices
Source
Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.355, Eq. (12.8)

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