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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passaudited 2026-08-29
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The Gram formula gives a well-defined positive-definite inner product on exterior powers, and v1vk2 is the Gram determinant

Statement

Let V be a finite-dimensional real inner product space of dimension n, and let 0kn. The formula

v1vk, w1wk=det(vi,wj)i,jk

defines a well-defined inner product on ΛkV in the sense of Real and complex inner product spaces, with the inner product linear in the first argument. In particular, for every list (v1,,vk),

v1vk2=detG(v1,,vk),

the Gram determinant of The Gram matrix G(v0,,vr1)=(vi,vj)i,j<r and Gram determinant, with empty value 1, which vanishes exactly when the list is dependent.

Facts & Assumptions

Given: A finite-dimensional real inner product space V of dimension n, a degree 0kn, and lists of length k in V.

[L1]

The intended pairing is the displayed determinant formula, with descent through the quotient in each slot (The Gram inner product on ΛkV).

[L2]

The Gram matrix is G(v1,,vk)=(vi,vj)i,j, with empty determinant 1 (The Gram matrix G(v0,,vr1)=(vi,vj)i,j<r and Gram determinant, with empty value 1).

[L3]

The Gram determinant is nonnegative, and positive exactly for independent lists (A Gram determinant is nonnegative and is positive exactly when the vector list is linearly independent).

[L4]

The increasing-index wedges of an orthonormal basis form a basis of ΛkV (Increasing-index wedges of a basis form a basis of ΛkV).

[L5]

Alternating multilinear maps factor uniquely through ΛkV (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).

[L6]

A finite-dimensional inner product space has an orthonormal basis (Every finite-dimensional real or complex inner product space has an orthonormal basis).

[L7]

The determinant is unchanged by transposition: det(MT)=detM (For every square matrix over a commutative ring, det(AT)=det(A)).

Proof

technique · direct
1.1

For a fixed list (w1,,wk), the assignment (v1,,vk)det(vi,wj) is k-linear and alternating in the v's (determinant multilinear in rows, zero on a repeated row), so by [L5] it descends to a unique linear functional on ΛkV; symmetrically in the second slot. This is the well-defined bilinear pairing of [L1].

L1L5
1.2

By [L1] and [L2], the pure-wedge norm square is v1vk2=detG(v1,,vk).

L1L2
1.3

Symmetry: β,α=det(wj,vi)=det((vi,wj)T)=α,β by [L7].

L2L7
2.1

Choose an orthonormal basis (e1,,en) by [L6]; by [L4] the wedges eI form a basis of ΛkV, and by step 1.2 the pairing satisfies eI,eJ=det of the identity submatrix, which is 1 when I=J and 0 otherwise.

step 1.2L2L4L6
2.2

The norm-square formula of step 1.2 is the claimed Gram-determinant identity, and by [L3] that determinant is nonnegative and vanishes exactly for dependent lists, matching the independence criterion of In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent.

step 1.2L3
3.1

Expanding α=IcIeI in the basis of step 2.1 gives α,α=IcI20, with equality exactly when every cI=0, i.e. α=0; with steps 1.1 and 1.3 this is a positive-definite inner product.

step 1.1step 1.3step 2.1algebra
4.1

Steps 1.1, 2.2 and 3.1 prove well-definedness, the Gram-determinant formula, and positive definiteness.

step 1.1step 1.2step 2.2step 3.1

Depends on

Used by

Cited to discharge well-definedness by The Gram inner product on ΛᵏV.

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