Math 2.0

Functional analysis Proof

Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement

Builds on Inner productOrthogonal complementDirect sum of subspacesLinear subspaceExistence of an orthonormal basisOrthonormal basisCoordinates in an orthonormal basis

Proof

We use an orthonormal basis of WW to split each vector, and then show that W∩W⊥={0}W \cap W^\perp = \set{0}.

  1. Let VV be an inner product space over 𝕂=ℝ\mathbb{K} = \R or ℂ\C, with inner product ⟨⋅,⋅⟩\ip{\cdot}{\cdot}. Let WW be a finite-dimensional subspace of VV, and let W⊥W^\perp be its orthogonal complement.
  2. For all u,w∈Vu, w \in V and a∈𝕂a \in \mathbb{K}, conjugate symmetry and linearity in the first argument give ⟨u,aw⟩=a‾⟨u,w⟩\ip{u}{a w} = \overline{a} \ip{u}{w}. In the same way, ⟨u,⋅⟩\ip{u}{\cdot} is additive.
  3. W⊥W^\perp is a subspace. Indeed, ⟨0,w⟩=0\ip{0}{w} = 0 for all ww. If x,y∈W⊥x, y \in W^\perp and a,b∈𝕂a, b \in \mathbb{K}, then ⟨ax+by,w⟩=a⟨x,w⟩+b⟨y,w⟩=0\ip{a x + b y}{w} = a \ip{x}{w} + b \ip{y}{w} = 0 for all w∈Ww \in W.
  4. The restriction of ⟨⋅,⋅⟩\ip{\cdot}{\cdot} to WW is an inner product on WW. So WW is a finite-dimensional inner product space, and it has an orthonormal basis e1,…,eke_1, \dots, e_k.
  5. Let v∈Vv \in V. Set w=∑i=1k⟨v,ei⟩eiw = \sum_{i=1}^{k} \ip{v}{e_i} e_i, which lies in WW, and w′=v−ww' = v - w. Then v=w+w′v = w + w'.
  6. For each jj, linearity in the first argument and orthonormality give ⟨w,ej⟩=⟨v,ej⟩\ip{w}{e_j} = \ip{v}{e_j}. So ⟨w′,ej⟩=0\ip{w'}{e_j} = 0.
  7. Let u∈Wu \in W. By the formula for coordinates in WW, u=∑jajeju = \sum_j a_j e_j with aj∈𝕂a_j \in \mathbb{K}. By step 2, ⟨w′,u⟩=∑jaj‾⟨w′,ej⟩=0\ip{w'}{u} = \sum_j \overline{a_j} \ip{w'}{e_j} = 0.
  8. Hence w′∈W⊥w' \in W^\perp. So V=W+W⊥V = W + W^\perp.
  9. Let x∈W∩W⊥x \in W \cap W^\perp. Since x∈W⊥x \in W^\perp and x∈Wx \in W, we get ⟨x,x⟩=0\ip{x}{x} = 0. By positivity of the inner product, x=0x = 0.
  10. Let u∈Wu \in W and u′∈W⊥u' \in W^\perp with u+u′=0u + u' = 0. Then u=−u′u = -u' lies in WW and in the subspace W⊥W^\perp. By step 9, u=0u = 0, and so u′=0u' = 0.
  11. By steps 8 and 10 and the equivalent form of the definition of the direct sum, V=W⊕W⊥V = W \oplus W^\perp.

Idea

For an orthonormal basis e1,…,eke_1, \dots, e_k of WW, the vector ∑i⟨v,ei⟩ei\sum_i \ip{v}{e_i} e_i is the part of vv in WW. The remainder has zero inner product with each eie_i, so it lies in W⊥W^\perp. Uniqueness holds because a vector orthogonal to itself is zero.

Reading path

To understand this page from the ground up, read these 66 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof of the existence of an orthonormal basis by the Gram–Schmidt process, Proof that the Gram–Schmidt vectors are orthogonal, Proof that an orthonormal family is linearly independent, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of the formula for coordinates in an orthonormal basis, Proof of Zorn's lemma, Proof that n independent or n spanning vectors in an n-dimensional space form a basis.

  1. Element definition
  2. Proof of Zorn's lemma proof
  3. Proposition concept
  4. Vector space definition
  5. Set definition
  6. Disjunction definition
  7. Implication definition
  8. Predicate definition
  9. Inner product definition
  10. Linear combination definition
  11. Linear subspace definition
  12. Norm definition
  13. Family of sets definition
  14. Ordered pair definition
  15. Union definition
  16. Existential quantifier definition
  17. Universal quantifier definition
  18. Inner product space definition
  19. Orthogonal vectors definition
  20. Linear independence definition
  21. Linear span definition
  22. Sum of subspaces definition
  23. Cartesian product definition
  24. Subset definition
  25. Union of a family of sets definition
  26. Uniqueness quantifier definition
  27. Norm induced by an inner product definition
  28. Orthogonal complement definition
  29. Orthonormal family definition
  30. Spanning set definition
  31. Direct sum of subspaces definition
  32. Binary relation definition
  33. Proof that an orthonormal family is linearly independent proof
  34. Basis definition
  35. Finite-dimensional vector space definition
  36. Gram–Schmidt process concept
  37. Proof of the Steinitz exchange lemma by induction proof
  38. Antisymmetric relation definition
  39. Reflexive relation definition
  40. Transitive relation definition
  41. Function definition
  42. Dimension theorem for vector spaces statement
  43. Dimension definition
  44. Orthonormal basis definition
  45. An orthonormal family is linearly independent statement
  46. Proof that the Gram–Schmidt vectors are orthogonal proof
  47. Steinitz exchange lemma statement
  48. Preorder definition
  49. Choice function definition
  50. Proof of the formula for coordinates in an orthonormal basis proof
  51. Gram–Schmidt vectors are orthogonal statement
  52. Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
  53. Partial order definition
  54. Axiom of choice statement
  55. Coordinates in an orthonormal basis statement
  56. Linearly independent set of the right size is a basis statement
  57. Maximal element definition
  58. Total order definition
  59. Upper bound definition
  60. Chain definition
  61. Zorn's lemma statement
  62. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  63. Every linearly independent set extends to a basis statement
  64. Proof of the existence of an orthonormal basis by the Gram–Schmidt process proof
  65. Existence of an orthonormal basis statement
  66. Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement proof

Where this leads

88 pages build on this one.

Further reading

  1. Web https://linear.axler.net/LADR4e.pdf, Theorem 6.49
About this page
TagT8GV9PYHDQ
URIm2://T8GV9PYHDQ
Kindproof
WritingW0 stub
MSC46C05
ProvesA space is the direct sum of a subspace and its orthogonal complement
UsesInner product, Orthogonal complement, Direct sum of subspaces, Linear subspace, Existence of an orthonormal basis, Orthonormal basis, Coordinates in an orthonormal basis
Changed4 November 2026

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