Functional analysis Definition
Hilbert dimension
Definition
Let be a real or complex Hilbert space. An orthonormal basis of is an orthonormal family in that is maximal: no nonzero vector of is orthogonal to all . All orthonormal bases of have the same cardinality. The Hilbert dimension of is this cardinality .
Remarks
Example: in , the unit vectors , , form an orthonormal basis. They are orthonormal, and if for all then . So the Hilbert dimension of is , the cardinality of .
Non-example: the family in is orthonormal but not maximal, since is orthogonal to all of it. So it is not an orthonormal basis, though its cardinality is also .
For every orthonormal basis, each is the sum , with only countably many nonzero terms. For finite-dimensional , the Hilbert dimension is the usual dimension. For , the functions , , form an orthonormal basis, so and are isometrically isomorphic.
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
- Cardinality concept
- Hilbert space concept
- Orthonormal family concept
- Hilbert dimension definition
Further reading
About this page
| Tag | JB02WZSDDW |
|---|---|
| URI | m2://JB02WZSDDW |
| Kind | definition |
| Writing | W0 stub |
| MSC | 46C05 |
| Defines | Hilbert dimension |
| Uses | Hilbert space, Orthonormal family, Cardinality |
| Changed | 2 November 2026 |
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