Fundamental theorem of Hilbert spaces

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In mathematics, specifically in functional analysis and Hilbert space theory, the fundamental theorem of Hilbert spaces gives a necessary and sufficient condition for a Hausdorff pre-Hilbert space to be a Hilbert space in terms of the canonical isometry of a pre-Hilbert space into its anti-dual.

Preliminaries

= Antilinear functionals and the anti-dual =

Suppose that {{mvar|H}} is a topological vector space (TVS).

A function {{math|f : H\mathbb{C}}} is called semilinear or antilinear{{sfn | Trèves | 2006 | pp=112–123}} if for all {{math|x, yH}} and all scalars {{mvar|c}} ,

The vector space of all continuous antilinear functions on {{mvar|H}} is called the anti-dual space or complex conjugate dual space of {{mvar|H}} and is denoted by \overline{H}^{\prime} (in contrast, the continuous dual space of {{mvar|H}} is denoted by H^{\prime}), which we make into a normed space by endowing it with the canonical norm (defined in the same way as the canonical norm on the continuous dual space of {{mvar|H}}).{{sfn | Trèves | 2006 | pp=112–123}}

= Pre-Hilbert spaces and sesquilinear forms =

A sesquilinear form is a map {{math|B : H × H\mathbb{C}}} such that for all {{math|yH}}, the map defined by {{math|xB(x, y)}} is linear, and for all {{math|xH}}, the map defined by {{math|yB(x, y)}} is antilinear.{{sfn | Trèves | 2006 | pp=112–123}}

Note that in Physics, the convention is that a sesquilinear form is linear in its second coordinate and antilinear in its first coordinate.

A sesquilinear form on {{mvar|H}} is called positive definite if {{math|B(x, x) > 0}} for all non-0 {{math|xH}}; it is called non-negative if {{math|B(x, x) ≥ 0}} for all {{math|xH}}.{{sfn | Trèves | 2006 | pp=112–123}}

A sesquilinear form {{mvar|B}} on {{mvar|H}} is called a Hermitian form if in addition it has the property that B(x, y) = \overline{B(y, x)} for all {{math|x, yH}}.{{sfn | Trèves | 2006 | pp=112–123}}

= Pre-Hilbert and Hilbert spaces =

A pre-Hilbert space is a pair consisting of a vector space {{mvar|H}} and a non-negative sesquilinear form {{mvar|B}} on {{mvar|H}};

if in addition this sesquilinear form {{mvar|B}} is positive definite then {{math|(H, B)}} is called a Hausdorff pre-Hilbert space.{{sfn | Trèves | 2006 | pp=112–123}}

If {{mvar|B}} is non-negative then it induces a canonical seminorm on {{mvar|H}}, denoted by \| \cdot \|, defined by {{math|xB(x, x)1/2}}, where if {{mvar|B}} is also positive definite then this map is a norm.{{sfn | Trèves | 2006 | pp=112–123}}

This canonical semi-norm makes every pre-Hilbert space into a seminormed space and every Hausdorff pre-Hilbert space into a normed space.

The sesquilinear form {{math|B : H × H\mathbb{C}}} is separately uniformly continuous in each of its two arguments and hence can be extended to a separately continuous sesquilinear form on the completion of {{mvar|H}}; if {{mvar|H}} is Hausdorff then this completion is a Hilbert space.{{sfn | Trèves | 2006 | pp=112–123}}

A Hausdorff pre-Hilbert space that is complete is called a Hilbert space.

= Canonical map into the anti-dual =

Suppose {{math|(H, B)}} is a pre-Hilbert space. If {{math|hH}}, we define the canonical maps:

::{{math|B(h, •) : H\mathbb{C}}} {{space|5}} where {{space|5}} {{math|yB(h, y)}}, {{space|3}} and

::{{math|B(•, h) : H\mathbb{C}}} {{space|5}} where {{space|5}} {{math|xB(x, h)}}

The canonical map{{sfn | Trèves | 2006 | pp=112–123}} from {{mvar|H}} into its anti-dual \overline{H}^{\prime} is the map

::H \to \overline{H}^{\prime} {{space|5}} defined by {{space|5}} {{math|1=xB(x, •)}}.

If {{math|(H, B)}} is a pre-Hilbert space then this canonical map is linear and continuous;

this map is an isometry onto a vector subspace of the anti-dual if and only if {{math|(H, B)}} is a Hausdorff pre-Hilbert.{{sfn | Trèves | 2006 | pp=112–123}}

There is of course a canonical antilinear surjective isometry H^{\prime} \to \overline{H}^{\prime} that sends a continuous linear functional {{mvar|f}} on {{mvar|H}} to the continuous antilinear functional denoted by {{math|{{overline| f }}}} and defined by {{math|x ↦ {{overline| f (x)}}}}.

Fundamental theorem

:Fundamental theorem of Hilbert spaces:{{sfn | Trèves | 2006 | pp=112–123}} Suppose that {{math|(H, B)}} is a Hausdorff pre-Hilbert space where {{math|B : H × H\mathbb{C}}} is a sesquilinear form that is linear in its first coordinate and antilinear in its second coordinate. Then the canonical linear mapping from {{mvar|H}} into the anti-dual space of {{mvar|H}} is surjective if and only if {{math|(H, B)}} is a Hilbert space, in which case the canonical map is a surjective isometry of {{mvar|H}} onto its anti-dual.

See also

References

{{reflist}}

  • {{Narici Beckenstein Topological Vector Spaces|edition=2}}
  • {{Schaefer Wolff Topological Vector Spaces|edition=2}}
  • {{Trèves François Topological vector spaces, distributions and kernels}}

{{Functional Analysis}}

Category:Topological vector spaces

Category:Linear functionals

Category:Theorems in functional analysis