Math 2.0

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 UU to a basis of VV and take the span of the new vectors.

  1. By every vector space has a basis, applied to UU, there is a basis LL of UU. We view LL as a set of vectors of UU.
  2. The set LL is linearly independent in UU, hence also in VV, since linear relations are the same in both spaces.
  3. By extension to a basis, there is a basis BB of VV with L⊆BL \subseteq B.
  4. Let M=B∖LM = B \setminus L, and let W=span⁡(M)W = \operatorname{span}(M) be its linear span.
  5. WW is a subspace of VV. It contains 00, the empty combination. A sum of two finite linear combinations of MM, or a scalar multiple of one, is again such a combination.
  6. We show U+W=VU + W = V, with the sum of subspaces. Let v∈Vv \in V. Since BB spans VV, vv is a finite linear combination of vectors of BB.
  7. Group the terms of this combination: those with vectors in LL give a vector u∈Uu \in U, and those with vectors in MM give a vector w∈Ww \in W. Then v=u+wv = u + w.
  8. So V⊆U+WV \subseteq U + W. Also U+W⊆VU + W \subseteq V, since UU and WW are subspaces of VV. Hence U+W=VU + W = V.
  9. We show U∩W={0}U \cap W = \{0\}. Let x∈U∩Wx \in U \cap W.
  10. Since LL spans UU, x=a1ℓ1+⋯+apℓpx = a_1 \ell_1 + \cdots + a_p \ell_p for distinct ℓ1,…,ℓp∈L\ell_1, \dots, \ell_p \in L and scalars ai∈Fa_i \in F.
  11. Since x∈Wx \in W, x=c1m1+⋯+cqmqx = c_1 m_1 + \cdots + c_q m_q for distinct m1,…,mq∈Mm_1, \dots, m_q \in M and scalars ck∈Fc_k \in F.
  12. Subtracting gives a1ℓ1+⋯+apℓp−c1m1−⋯−cqmq=0a_1 \ell_1 + \cdots + a_p \ell_p - c_1 m_1 - \cdots - c_q m_q = 0.
  13. The sets LL and MM are disjoint, so the vectors ℓ1,…,ℓp,m1,…,mq\ell_1, \dots, \ell_p, m_1, \dots, m_q are distinct elements of BB.
  14. The basis BB is linearly independent, so all aia_i and ckc_k are 00. Hence x=0x = 0.
  15. By steps 8 and 14, U+W=VU + W = V and U∩W={0}U \cap W = \{0\}. So WW is a complement of UU, and V=U⊕WV = U \oplus W.

Idea

A basis of UU 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 UU only in 00. 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.

  1. Basis concept
  2. Complementary subspaces concept
  3. Element definition
  4. Linear independence concept
  5. Linear span concept
  6. Linear subspace concept
  7. Proof of Zorn's lemma proof
  8. Proposition concept
  9. Sum of subspaces concept
  10. Vector space definition
  11. Set definition
  12. Disjunction definition
  13. Implication definition
  14. Predicate definition
  15. Linear combination definition
  16. Linear subspace definition
  17. Family of sets definition
  18. Ordered pair definition
  19. Union definition
  20. Existential quantifier definition
  21. Universal quantifier definition
  22. Linear independence definition
  23. Linear span definition
  24. Cartesian product definition
  25. Union of a family of sets definition
  26. Subset definition
  27. Uniqueness quantifier definition
  28. Spanning set definition
  29. Binary relation definition
  30. Basis definition
  31. Antisymmetric relation definition
  32. Reflexive relation definition
  33. Transitive relation definition
  34. Function definition
  35. Preorder definition
  36. Choice function definition
  37. Partial order definition
  38. Axiom of choice statement
  39. Maximal element definition
  40. Total order definition
  41. Upper bound definition
  42. Chain definition
  43. Zorn's lemma statement
  44. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  45. Proof that every vector space has a basis, by Zorn's lemma proof
  46. Every vector space has a basis statement
  47. Every linearly independent set extends to a basis statement
  48. Proof of the existence of a complementary subspace by extending a basis proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://planetmath.org/complementarysubspace
About this page
TagK653S85P27
URIm2://K653S85P27
Kindproof
WritingW0 stub
MSC15A03
ProvesExistence of a complementary subspace
UsesEvery 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
Changed4 November 2026

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