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Deleted-row minors of a zero-column-sum matrix agree up to sign
Statement
Let and let be an real matrix of rank (Row space, column space, nullspace, row rank, column rank and matrix rank) each of whose columns has coordinate sum zero, that is for every column index . For let be the determinant (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix) of the matrix obtained by deleting row . Then for every and
in particular all are equal.
Facts & Assumptions
Given: An integer and an real matrix of rank whose columns each have coordinate sum zero.
Expanding a determinant along its last column, with the determinant of the matrix obtained by deleting row and the last column and the corresponding cofactor, gives ; 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).
For a real matrix the rank and the dimension of the kernel satisfy ; transposition does not change the rank (For an matrix , , Row rank equals column rank, and both equal the number of pivots, The transpose of a matrix).
If is of rank , then some -rowed minor of is nonzero (A matrix has rank at least exactly when it has a nonzero -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.
Fix a column index and let be the real matrix whose first columns are the columns of and whose last column is the -th column of ; its entries in the last column are . The last column of equals column , so , and expanding along the last column as in [F1] gives , because deleting row and the last column of leaves exactly the matrix whose determinant is .
Define for . Step 1.1 says for every column index , that is for the transpose ; and the column-sum hypothesis says for every , that is with .
Since has rank , its transpose has rank , so by rank-nullity its kernel has dimension and is therefore a line. Both and lie in that kernel and , so for some .
By [F3] some -rowed minor of is nonzero, and the -rowed minors of are exactly the determinants ; since , this makes , hence and for every . In particular , so , which is the claimed sign pattern and nonvanishing.
Depends on
- A square matrix with a zero column or two equal columns has determinant zero
- For an $m\times n$ matrix $A$, $\operatorname{rank}(A)+\dim N(A)=n$
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- Deleted-row-and-column minors, cofactors, the cofactor matrix and the adjugate over a commutative ring
- Row space, column space, nullspace, row rank, column rank and matrix rank
- Submatrices and minors of a rectangular matrix
- The transpose $A^{\mathsf T}$ of a matrix
- A matrix has rank at least $r$ exactly when it has a nonzero $r$-rowed minor
- Laplace expansion computes the determinant along every row and every column over a commutative ring
- Row rank equals column rank, and both equal the number of pivots
Used by
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Sources
- J. S. Milne, Algebraic Number Theory v3.08 (standard reference, not scraped)
- Andrew V. Sutherland, MIT 18.785 Lecture 15: Dirichlet's Unit Theorem (Fall 2021) (standard reference, not scraped)