How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
If , then
Statement
If is finite-dimensional with and , then .
Facts & Assumptions
Given: A finite-dimensional vector space with and a degree .
The equality means that has a basis with elements (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
In a space with a spanning set of elements, every linearly independent subset has at most elements (If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with ).
In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent (In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent).
The exterior power is the quotient of generated by decomposable wedges (The th exterior power as the tensor-power quotient by repeated-vector relations).
Proof
If some -tuple in were linearly independent, then its image set would be a linearly independent subset of with elements. That contradicts [L1] and [L2] because . So every -tuple in is linearly dependent.
By [L3], step 1.1 forces every decomposable wedge to vanish.
By [L4], every element of is a linear combination of decomposable wedges, so step 2.1 forces every element of to be zero.
Hence whenever .
Depends on
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- If $V$ has a spanning set with $n$ elements, then every linearly independent subset of $V$ is finite with at most $n$ elements; in particular $V$ has no linearly independent subset equinumerous with $\mathbb{N}$
- In a finite-dimensional vector space, a decomposable wedge is nonzero exactly when its vectors are linearly independent
- The $k$th exterior power as the tensor-power quotient by repeated-vector relations
Used by
Dependency tree · two levels
23 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)