Math 2.0

Functional analysis Proof

Proof of the Riesz representation theorem in finite dimensions

Builds on Inner productInner product spaceLinear formExistence of an orthonormal basisOrthonormal basisCoordinates in an orthonormal basis

Proof

We build yy from an orthonormal basis, and then prove uniqueness with x=y−y′x = y - y'.

  1. Let VV be a finite-dimensional inner product space over 𝕂=ℝ\mathbb{K} = \R or ℂ\C, with inner product ⟨⋅,⋅⟩\ip{\cdot}{\cdot} linear in the first argument. Let f ⁣:V→𝕂f \colon V \to \mathbb{K} be a linear form.
  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. Let e1,…,ene_1, \dots, e_n be an orthonormal basis of VV. Set y=∑i=1nf(ei)‾ eiy = \sum_{i=1}^{n} \overline{f(e_i)}\, e_i.
  4. Let x∈Vx \in V. By the formula for coordinates, x=∑i=1n⟨x,ei⟩eix = \sum_{i=1}^{n} \ip{x}{e_i} e_i.
  5. Since ff is linear, step 4 gives f(x)=∑i=1n⟨x,ei⟩f(ei)f(x) = \sum_{i=1}^{n} \ip{x}{e_i} f(e_i).
  6. By step 2, ⟨x,y⟩=∑i=1nf(ei)‾‾⟨x,ei⟩=∑i=1nf(ei)⟨x,ei⟩\ip{x}{y} = \sum_{i=1}^{n} \overline{\overline{f(e_i)}} \ip{x}{e_i} = \sum_{i=1}^{n} f(e_i) \ip{x}{e_i}.
  7. Steps 5 and 6 give f(x)=⟨x,y⟩f(x) = \ip{x}{y} for all x∈Vx \in V. This proves existence.
  8. For uniqueness, let y,y′∈Vy, y' \in V with ⟨x,y⟩=f(x)=⟨x,y′⟩\ip{x}{y} = f(x) = \ip{x}{y'} for all x∈Vx \in V.
  9. By step 2, ⟨x,y−y′⟩=⟨x,y⟩−⟨x,y′⟩=0\ip{x}{y - y'} = \ip{x}{y} - \ip{x}{y'} = 0 for all x∈Vx \in V.
  10. Take x=y−y′x = y - y'. Then ⟨y−y′,y−y′⟩=0\ip{y - y'}{y - y'} = 0, and positivity of the inner product gives y−y′=0y - y' = 0. So y=y′y = y'.

Idea

A linear form is fixed by its values on a basis. For an orthonormal basis, the form x↦⟨x,y⟩x \mapsto \ip{x}{y} takes the value ci‾\overline{c_i} at eie_i when y=∑icieiy = \sum_i c_i e_i. So we choose ci=f(ei)‾c_i = \overline{f(e_i)}. Uniqueness holds because only 00 is orthogonal to every vector.

Reading path

To understand this page from the ground up, read these 65 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 map definition
  12. Linear subspace definition
  13. Norm definition
  14. Family of sets definition
  15. Ordered pair definition
  16. Union definition
  17. Existential quantifier definition
  18. Universal quantifier definition
  19. Inner product space definition
  20. Orthogonal vectors definition
  21. Linear independence definition
  22. Linear form definition
  23. Linear span definition
  24. Cartesian product definition
  25. Subset definition
  26. Union of a family of sets definition
  27. Uniqueness quantifier definition
  28. Orthonormal family definition
  29. Norm induced by an inner product definition
  30. Spanning set definition
  31. Binary relation definition
  32. Proof that an orthonormal family is linearly independent proof
  33. Finite-dimensional vector space definition
  34. Basis definition
  35. Gram–Schmidt process concept
  36. Proof of the Steinitz exchange lemma by induction proof
  37. Antisymmetric relation definition
  38. Reflexive relation definition
  39. Transitive relation definition
  40. Function definition
  41. Dimension definition
  42. Dimension theorem for vector spaces statement
  43. Orthonormal basis definition
  44. An orthonormal family is linearly independent statement
  45. Proof that the Gram–Schmidt vectors are orthogonal proof
  46. Steinitz exchange lemma statement
  47. Preorder definition
  48. Choice function definition
  49. Proof of the formula for coordinates in an orthonormal basis proof
  50. Gram–Schmidt vectors are orthogonal statement
  51. Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
  52. Partial order definition
  53. Axiom of choice statement
  54. Coordinates in an orthonormal basis statement
  55. Linearly independent set of the right size is a basis statement
  56. Maximal element definition
  57. Total order definition
  58. Upper bound definition
  59. Chain definition
  60. Zorn's lemma statement
  61. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  62. Every linearly independent set extends to a basis statement
  63. Proof of the existence of an orthonormal basis by the Gram–Schmidt process proof
  64. Existence of an orthonormal basis statement
  65. Proof of the Riesz representation theorem in finite dimensions proof

Where this leads

13 pages build on this one.

Further reading

  1. Web https://linear.axler.net/LADR4e.pdf, Theorem 6.42
About this page
Tag7MN6S22S2Q
URIm2://7MN6S22S2Q
Kindproof
WritingW0 stub
MSC46C05, 15A04
ProvesRiesz representation theorem in finite dimensions
UsesInner product, Inner product space, Linear form, Existence of an orthonormal basis, Orthonormal basis, Coordinates in an orthonormal basis
Changed4 November 2026

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