Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passaudited 2026-08-29
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In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent

Statement

Let V be a finite-dimensional vector space over F. For v1,…,vk∈V,

v1∧⋯∧vk≠0⟺v1,…,vk are linearly independent.

Facts & Assumptions

Given: A finite-dimensional vector space V over a field F and a finite list v1,…,vk.

[L2]

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

[L3]

In a finite-dimensional vector space, every linearly independent subset is contained in a basis, with no choice principle needed (If dim⁡FV=n and U is a linear subspace of V, then U is finite-dimensional, dim⁡FU≤n, and dim⁡FU=n if and only if U=V).

Proof

technique · direct
1.1L1algebra

If v1,…,vk are dependent, choose by [L1] an entry vj=∑i≠jcivi. Expanding the wedge by the multilinearity of the wedge map gives v1∧⋯∧vk=∑i≠jci (v1∧⋯∧vi∧⋯∧vk) with vi in the jth slot, and every summand has the repeated entry vi, so alternation kills it; hence the wedge is zero.

1.2L2L3

If v1,…,vk are independent, [L3] places the subset {v1,…,vk} inside a basis of V; ordering the remaining basis vectors after v1,…,vk gives a basis (v1,…,vk,uk+1,…,un) of V. Then v1∧⋯∧vk is the basis wedge attached to the first k indices, so by [L2] it is a basis vector and in particular nonzero.

2.1step 1.1step 1.2∎

Steps 1.1 and 1.2 prove the two directions of the equivalence.

Depends on

Used by

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Sources