Harmonic analysis on Euclidean spaces Definition
Generalized Fourier series
Builds on Inner product spaceOrthogonal vectorsHilbert space
Definition
Let be an inner product space with inner product , linear in the first argument. Let be a sequence of nonzero, pairwise orthogonal vectors of . For , the generalized Fourier coefficients of are the numbers The formal series is the generalized Fourier series of with respect to .
Remarks
If the are orthonormal, . The partial sum is the orthogonal projection of onto the span of , the closest point of that span to . By Bessel's inequality, . In a Hilbert space the series converges to the projection of onto the closed span of the family. It converges to for every exactly when the family is complete, and then Parseval's identity holds.
Example: in , take the Legendre polynomials , , , and so on, and . Then , , , and . So , , , and indeed ; all later coefficients vanish.
Non-example: the formula fails to reconstruct when the family is not orthogonal. In with and , which are not orthogonal, the function gives and , so .
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Hilbert space concept
- Inner product space concept
- Orthogonal vectors concept
- Generalized Fourier series definition
Further reading
About this page
| Tag | 2S6XZCQWY7 |
|---|---|
| URI | m2://2S6XZCQWY7 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 42C15, 42C10, 46C05 |
| Defines | Generalized Fourier series |
| Uses | Inner product space, Orthogonal vectors, Hilbert space |
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