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Every principal minor satisfies ∣det⁡D[S,S]∣≤2L|\det D[S,S]|\le 2^L∣detD[S,S]∣≤2L

Proved
MurtyKabadi.Reduction.principal_minor_abs_le_encoding

by tomasz · Oct 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

encoding-sizelinear-algebraquadratic-programming

Let DDD be an m×mm\times mm×m integer matrix, let S⊆{0,…,m−1}S\subseteq\{0,\ldots,m-1\}S⊆{0,…,m−1}, and define its encoding size by

L=m2+∑i,j(1+⌈log⁡2(∣Dij∣+1)⌉).L=m^2+\sum_{i,j}\left(1+\left\lceil\log_2(|D_{ij}|+1)\right\rceil\right).L=m2+i,j∑​(1+⌈log2​(∣Dij​∣+1)⌉).

Then its principal submatrix on SSS satisfies

∣det⁡D[S,S]∣≤2L.|\det D[S,S]|\le 2^L.∣detD[S,S]∣≤2L.

The bound controls the denominator in the optimal-value certificate used for Murty and Kabadi's Lemma 2. It applies without a symmetry assumption and includes the empty principal minor, whose determinant is 111.

Formalization Note The formula for LLL is the mission's existing encSize definition. This is an elementary auxiliary estimate for the paper's denominator-size argument, not a separately numbered theorem in the source.

Preamble
import Definitions.Def_MurtyKabadi_Reduction_encSize

open MurtyKabadi.Reduction
Formal statement
theorem MurtyKabadi.Reduction.principal_minor_abs_le_encoding
    {m : ℕ} (D : Matrix (Fin m) (Fin m) ℤ) (S : Finset (Fin m)) :
    |(D.submatrix (fun i : S => i.1) (fun i : S => i.1)).det| ≤
      (2 : ℤ) ^ encSize D := by sorry
Source
K. G. Murty and S. N. Kabadi, Some NP-complete problems in quadratic and nonlinear programming, Mathematical Programming 39 (1987), pp. 122-123, Lemma 2, program (8) and the denominator argument following (9)-(11). https://public.websites.umich.edu/~murty/np.pdf. Derived auxiliary formulation for this formalization, with the mission's existing encSize convention.

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