Functional analysis Hilbert spaces Theorem
Riesz representation theorem
Builds on Hilbert spaceContinuous dual spaceLinear formOrthogonal complementHilbert projection theoremRiesz representation theorem in finite dimensions
Statement
Let be or , and let be a Hilbert space over whose inner product is linear in the first argument. Let be a continuous linear form. Then there is exactly one vector such that for all . Moreover , where is the operator norm of . Hence the map that sends to is a bijective, conjugate-linear isometry from the continuous dual onto .
Remarks
If , take . Otherwise the kernel is a closed subspace different from . By the Hilbert projection theorem, its orthogonal complement contains a vector , and has dimension . Then works, and uniqueness follows because for all forces .
Example: on the form is represented by the constant function , and .
Completeness is necessary. Let be the space of finitely supported sequences with the inner product of . The form is continuous on by the Cauchy–Schwarz inequality. The only candidate is , which is not finitely supported, so no represents .
In finite dimension the result reduces to the Riesz representation theorem in finite dimensions.
Going deeper
For a student
The theorem identifies a Hilbert space with its dual, up to complex conjugation. It gives the adjoint of a bounded operator: defines because is a continuous linear form. It also shows that every Hilbert space is reflexive. The Lax–Milgram theorem, used for weak solutions of elliptic equations, extends it to bounded coercive bilinear forms.
Reading path
To understand this page from the ground up, read these 27 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Closed set concept
- Continuous dual space concept
- Convex set concept
- Hilbert space concept
- Linear form concept
- Orthogonal complement concept
- Vector space definition
- Inner product definition
- Linear map definition
- Linear subspace definition
- Norm definition
- Inner product space definition
- Orthogonal vectors definition
- Endomorphism definition
- Linear form definition
- Sum of subspaces definition
- Norm induced by an inner product definition
- Orthogonal complement definition
- Riesz representation theorem in finite dimensions statement
- Direct sum of subspaces definition
- Parallelogram law statement
- A space is the direct sum of a subspace and its orthogonal complement statement
- Projection definition
- Orthogonal projection definition
- Orthogonal projection is the closest point statement
- Hilbert projection theorem statement
- Riesz representation theorem statement
Where this leads
1 page builds on this one.
Further reading
About this page
| Tag | TTC40N49M6 |
|---|---|
| URI | m2://TTC40N49M6 |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 46C05 |
| Status | This copy of the site has no build data. Run m2 status TTC40N49M6. |
| About | Hilbert space, Continuous dual space |
| Uses | Hilbert space, Continuous dual space, Linear form, Orthogonal complement, Hilbert projection theorem, Riesz representation theorem in finite dimensions |
| Same as | |
| Changed | 2 November 2026 |
Markdown · JSON · Edit on GitHub
What this page needs for W1
- a source with a locator (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.