Math 2.0

statement theorem

Riesz representation theorem in finite dimensions

Statement

Let VV be a finite-dimensional inner product space over R\R or C\C, with the inner product linear in the first argument. Then, for each linear form f ⁣:V→Kf \colon V \to \mathbb{K}, there is exactly one vector y∈Vy \in V with f(x)=⟨x,y⟩for all x∈V.f(x) = \langle x, y \rangle \qquad \text{for all } x \in V.

Remarks

For an orthonormal basis e1,…,ene_1, \dots, e_n, the vector is y=∑if(ei)‾ eiy = \sum_i \overline{f(e_i)}\, e_i. The map y↦⟨⋅,y⟩y \mapsto \langle \cdot, y \rangle from VV to its dual is bijective; it is linear over R\R and conjugate linear over C\C. The statement holds for continuous linear forms on every Hilbert space.

Explanations

L1 human

In an inner product space, every linear form is an inner product with a fixed vector. On R3\R^3, the form x↦2x1−x2+5x3x \mapsto 2x_1 - x_2 + 5x_3 is the dot product with (2,−1,5)(2, -1, 5). So in finite dimensions, vectors and linear forms correspond one to one.

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  1. Vector space definition
  2. Inner product definition
  3. Linear map definition
  4. Inner product space definition
  5. Linear form definition
  6. Riesz representation theorem in finite dimensions statement

Sources

  1. Web https://en.wikipedia.org/wiki/Riesz_representation_theorem, Example in finite dimensions using matrix transformations