Math 2.0

statement theorem

Parseval's identity

Statement

Let VV be a finite-dimensional inner product space over R\R or C\C, and let (e1,…,en)(e_1, \dots, e_n) be an orthonormal basis of VV. Then, for all x,y∈Vx, y \in V, ⟨x,y⟩=∑i=1n⟨x,ei⟩⟨y,ei⟩‾and∥x∥2=∑i=1n∣⟨x,ei⟩∣2.\langle x, y \rangle = \sum_{i=1}^{n} \langle x, e_i \rangle \overline{\langle y, e_i \rangle} \qquad \text{and} \qquad \norm{x}^2 = \sum_{i=1}^{n} \abs{\langle x, e_i \rangle}^2.

Remarks

It is the case of equality in Bessel's inequality. In coordinates of an orthonormal basis, the inner product becomes the standard inner product of Kn\mathbb{K}^n. For Fourier series, the same identity holds with infinite sums, for square integrable functions.

Explanations

L1 human

In an orthonormal basis, the inner product of two vectors is the standard inner product of their coordinates. In particular, the squared length is the sum of the squared coordinates. This is the Pythagorean theorem in nn dimensions.

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To read this node, read these 15 nodes in this order. The foundations come first, and the list ends with this node.

Each node uses the nodes above it. The colour of the bar on a box shows the evidence level, and the box also gives it as text. The list below has the same nodes.
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  1. Vector space definition
  2. Inner product definition
  3. Linear combination definition
  4. Linear subspace definition
  5. Norm definition
  6. Inner product space definition
  7. Orthogonal vectors definition
  8. Linear independence definition
  9. Linear span definition
  10. Orthonormal family definition
  11. Norm induced by an inner product definition
  12. Spanning set definition
  13. Basis definition
  14. Orthonormal basis definition
  15. Parseval's identity statement

Sources

  1. Web https://en.wikipedia.org/wiki/Parseval's_identity, lead section