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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6.1-sol)audited 2026-10-02
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Deleted-row minors of a zero-column-sum matrix agree up to sign

Statement

Let m≥1 and let A=(akj) be an (m+1)×m real matrix of rank m (Row space, column space, nullspace, row rank, column rank and matrix rank) each of whose columns has coordinate sum zero, that is ∑k=1m+1akj=0 for every column index j. For k=1,…,m+1 let Δk be the determinant (For n≥1, the determinant over a commutative ring by the Leibniz formula, and ∣det⁡A∣ for a real matrix) of the m×m matrix obtained by deleting row k. Then Δk≠0 for every k and

Δk=(−1)k−1Δ1(k=1,…,m+1);

in particular all ∣Δk∣ are equal.

Facts & Assumptions

Given: An integer m≥1 and an (m+1)×m real matrix A=(akj) of rank m whose columns each have coordinate sum zero.

[F1]

Expanding a determinant along its last column, with Mkm the determinant of the matrix obtained by deleting row k and the last column and Ckm=(−1)k−1+mMkm the corresponding cofactor, gives det⁡B=∑k=1m+1bk,m+1Ck,m+1; a matrix with two equal columns has determinant zero (Laplace expansion computes the determinant along every row and every column over a commutative ring, Deleted-row-and-column minors, cofactors, the cofactor matrix and the adjugate over a commutative ring, A square matrix with a zero column or two equal columns has determinant zero).

[F2]

For a real m×(m+1) matrix the rank and the dimension of the kernel satisfy rank⁡+dim⁡N=m+1; transposition does not change the rank (For an m×n matrix A, rank⁡(A)+dim⁡N(A)=n, Row rank equals column rank, and both equal the number of pivots, The transpose AT of a matrix).

[F3]

If A is (m+1)×m of rank m, then some m-rowed minor of A is nonzero (A matrix has rank at least r exactly when it has a nonzero r-rowed minor).

Proof

Proof technique: build a linear relation among the minors from the equality of two columns of an augmented matrix, then identify the resulting kernel with the all-ones line.

1.1F1given

Fix a column index j and let B be the (m+1)×(m+1) real matrix whose first m columns are the columns of A and whose last column is the j-th column of A; its entries in the last column are bk,m+1=akj. The last column of B equals column j, so det⁡B=0, and expanding along the last column as in [F1] gives ∑k=1m+1(−1)k−1+makjΔk=0, because deleting row k and the last column of B leaves exactly the matrix whose determinant is Δk.

2.1F2step 1.1

Define ck:=(−1)k−1+mΔk for k=1,…,m+1. Step 1.1 says ∑k=1m+1akjck=0 for every column index j, that is ATc=0 for the transpose AT; and the column-sum hypothesis says ∑k=1m+1akj⋅1=0 for every j, that is AT1=0 with 1=(1,…,1)≠0.

3.1F2step 2.1

Since A has rank m, its transpose AT has rank m, so by rank-nullity its kernel has dimension (m+1)−m=1 and is therefore a line. Both c and 1 lie in that kernel and 1≠0, so c=λ1 for some λ∈R.

4.1F3step 3.1∎

By [F3] some m-rowed minor of A is nonzero, and the m-rowed minors of A are exactly the determinants Δ1,…,Δm+1; since ck=±Δk, this makes c≠0, hence λ≠0 and Δk=(−1)k−1+mλ≠0 for every k. In particular Δ1=(−1)mλ, so Δk=(−1)k−1+mλ=(−1)k−1⋅(−1)mλ=(−1)k−1Δ1, which is the claimed sign pattern and nonvanishing.

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