Real vector subspace
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This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.
A nonempty subset of a real vector space is a subspace when it contains zero and is closed under vector addition and multiplication by every real scalar.
mko-vector-subspace · definition · v0.10.0
Mathematical statement
This slice handles the zero space, the whole space, lines through the origin and explicit finite counterexamples in R². Positive cases use universal algebraic certificates from homogeneous linear equations or spans. Finitely many successful samples do not prove a subspace.
Representative formula (exact TeX)
U(V)
Assumptions
- The ambient space is fixed as R² with the usual vector operations.
- Positive certificates cover addition and every real scalar universally; an affine line not through zero is not a subspace.
Symbol scope
U— candidate subspaceV— ambient real vector space
Intuition, definition, and misconceptions
Containing the zero vector is necessary.
A homogeneous line through the origin has a universal closure certificate from its linear equation.
One counterexample refutes a subspace; finitely many positive samples do not prove it.
An arbitrary affine line, or finitely sampled closure, is not automatically a subspace certificate.
Adopted derivation guide
Universal closure of a line through zeroThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Real vector space — The parent supplies R² vector operations and real scalars.
- Subset — A subspace is a subset of the ambient space.
- Quantifiers and explicit domains — Closure is a universal obligation.
Verification boundary
Recomputation covers only R² and the explicit certificates, not arbitrary dimensions or unknown operations.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Add kernels, images, dimension and quotient vector spaces.
Same-source structured data
This page and the interactive view use the same object and existing language edition; this adds no proof or human review.
Canonical MKO JSON · Plain Markdown