Linear and multilinear algebra; matrix theory Proof
Proof of the existence of a complementary subspace by extending a basis
Builds on Every vector space has a basisEvery linearly independent set extends to a basisBasisLinear independenceLinear spanLinear subspaceSum of subspacesComplementary subspaces
Proof
We extend a basis of to a basis of and take the span of the new vectors.
- By every vector space has a basis, applied to , there is a basis of . We view as a set of vectors of .
- The set is linearly independent in , hence also in , since linear relations are the same in both spaces.
- By extension to a basis, there is a basis of with .
- Let , and let be its linear span.
- is a subspace of . It contains , the empty combination. A sum of two finite linear combinations of , or a scalar multiple of one, is again such a combination.
- We show , with the sum of subspaces. Let . Since spans , is a finite linear combination of vectors of .
- Group the terms of this combination: those with vectors in give a vector , and those with vectors in give a vector . Then .
- So . Also , since and are subspaces of . Hence .
- We show . Let .
- Since spans , for distinct and scalars .
- Since , for distinct and scalars .
- Subtracting gives .
- The sets and are disjoint, so the vectors are distinct elements of .
- The basis is linearly independent, so all and are . Hence .
- By steps 8 and 14, and . So is a complement of , and .
Idea
A basis of can be enlarged to a basis of the whole space. The vectors added in this process span a subspace that fills the missing directions and meets only in . In infinite dimension the enlargement step rests on Zorn's lemma.
Reading path
To understand this page from the ground up, read these 48 pages in order. The foundations come first. The path takes the proofs Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, Proof that every vector space has a basis, by Zorn's lemma.
- Basis concept
- Complementary subspaces concept
- Element definition
- Linear independence concept
- Linear span concept
- Linear subspace concept
- Proof of Zorn's lemma proof
- Proposition concept
- Sum of subspaces concept
- Vector space definition
- Set definition
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear subspace definition
- Family of sets definition
- Ordered pair definition
- Union definition
- Existential quantifier definition
- Universal quantifier definition
- Linear independence definition
- Linear span definition
- Cartesian product definition
- Union of a family of sets definition
- Subset definition
- Uniqueness quantifier definition
- Spanning set definition
- Binary relation definition
- Basis definition
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Function definition
- Preorder definition
- Choice function definition
- Partial order definition
- Axiom of choice statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Chain definition
- Zorn's lemma statement
- Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
- Proof that every vector space has a basis, by Zorn's lemma proof
- Every vector space has a basis statement
- Every linearly independent set extends to a basis statement
- Proof of the existence of a complementary subspace by extending a basis proof
Where this leads
1 page builds on this one.
Further reading
About this page
| Tag | K653S85P27 |
|---|---|
| URI | m2://K653S85P27 |
| Kind | proof |
| Writing | W0 stub |
| MSC | 15A03 |
| Proves | Existence of a complementary subspace |
| Uses | Every vector space has a basis, Every linearly independent set extends to a basis, Basis, Linear independence, Linear span, Linear subspace, Sum of subspaces, Complementary subspaces |
| Changed | 4 November 2026 |
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