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Increasing-index wedges of a basis form a basis of
Statement
Let have the ordered basis over and let . For each -element subset write
Then the family indexed by the -element subsets of is a basis of .
Facts & Assumptions
Given: A vector space with ordered basis and a degree .
The exterior power is with the wedge equal to the universal multilinear map composed with the quotient projection (The th exterior power as the tensor-power quotient by repeated-vector relations).
The pure tensors over all -tuples form a basis of (The elementary tensors of two bases form the product basis of the tensor product).
Alternating -linear maps factor uniquely through (Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism).
A basis is a linearly independent spanning set (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
For , the matrix determinant is alternating and multilinear in the columns, with (The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring).
Proof
If , then [L1] gives , and the unique -element subset of is , with a basis of . So only the case remains.
Assume . By [L2], every element of is a linear combination of the pure tensors over all -tuples; passing to the quotient of [L1], every element of is a linear combination of the wedges over all -tuples.
Still assuming , a wedge with a repeated index is zero by [L1], and a wedge with distinct indices equals the increasing-index wedge up to a sign: transposing two adjacent wedge entries multiplies the wedge by , because by [L1] the alternating relation gives .
For each -subset define by , where is the matrix whose th column is the list of the coordinates of ; by [L5], is -linear and alternating, so [L3] induces a unique linear map with .
If , then steps 1.2 and 1.3 give that the increasing wedges span .
If , then for subsets , the matrix for at is the identity when and has a zero row when , so [L5] and step 1.4 give for and for .
If and , applying of step 1.4 gives for every by step 2.2, so the increasing wedges are linearly independent in the sense of [L4].
Step 1.1 handles , while steps 2.1 and 3.1 show that for the increasing wedges are a spanning independent set. Therefore in every case the family is a basis of .
Depends on
- The $k$th exterior power as the tensor-power quotient by repeated-vector relations
- Decomposable $k$-vectors and the basic wedge product
- Exterior powers represent alternating multilinear maps and are unique up to unique isomorphism
- The elementary tensors of two bases form the product basis of the tensor product
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring
Used by
- If dim V=n, then dimΛᵏV=C(n, k) Corollary
- Bases and dimensions of exterior powers of ℝ², ℝ³, and ℝ⁴ Example
- In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent Theorem
- In basis-wedge coordinates, the matrix of ΛᵏT is the signed matrix of k-minors Theorem
- The Gram formula gives a well-defined positive-definite inner product on exterior powers, and ‖v₁∧⋯∧ vₖ‖² is the Gram determinant Theorem
- The Hodge star exists uniquely and is given by the complementary-basis formula in an oriented orthonormal basis Theorem
Dependency tree · two levels
38 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Keith Conrad, Exterior Powers (standard reference, not scraped)