Strong dual space - Wikipedia
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In functional analysis and related areas of mathematics, the strong dual space of a topological vector space (TVS) is the continuous dual space
of
equipped with the strong (dual) topology or the topology of uniform convergence on bounded subsets of
where this topology is denoted by
or
The coarsest polar topology is called weak topology.
The strong dual space plays such an important role in modern functional analysis, that the continuous dual space is usually assumed to have the strong dual topology unless indicated otherwise.
To emphasize that the continuous dual space,
has the strong dual topology,
or
may be written.
Strong dual topology
[edit]
Throughout, all vector spaces will be assumed to be over the field of either the real numbers
or complex numbers
Definition from a dual system
[edit]
Let be a dual pair of vector spaces over the field
of real numbers
or complex numbers
For any
and any
define
Neither nor
has a topology so say a subset
is said to be bounded by a subset
if
for all
So a subset
is called bounded if and only if
This is equivalent to the usual notion of bounded subsets when
is given the weak topology induced by
which is a Hausdorff locally convex topology.
Let denote the family of all subsets
bounded by elements of
; that is,
is the set of all subsets
such that for every
Then the strong topology
on
also denoted by
or simply
or
if the pairing
is understood, is defined as the locally convex topology on
generated by the seminorms of the form
The definition of the strong dual topology now proceeds as in the case of a TVS.
Note that if is a TVS whose continuous dual space separates point on
then
is part of a canonical dual system
where
In the special case when
is a locally convex space, the strong topology on the (continuous) dual space
(that is, on the space of all continuous linear functionals
) is defined as the strong topology
and it coincides with the topology of uniform convergence on bounded sets in
i.e. with the topology on
generated by the seminorms of the form
where
runs over the family of all bounded sets in
The space
with this topology is called strong dual space of the space
and is denoted by
Definition on a TVS
[edit]
Suppose that is a topological vector space (TVS) over the field
Let
be any fundamental system of bounded sets of
;
that is,
is a family of bounded subsets of
such that every bounded subset of
is a subset of some
;
the set of all bounded subsets of
forms a fundamental system of bounded sets of
A basis of closed neighborhoods of the origin in
is given by the polars:
as
ranges over
).
This is a locally convex topology that is given by the set of seminorms on
:
as
ranges over
If is normable then so is
and
will in fact be a Banach space.
If
is a normed space with norm
then
has a canonical norm (the operator norm) given by
;
the topology that this norm induces on
is identical to the strong dual topology.
The bidual or second dual of a TVS often denoted by
is the strong dual of the strong dual of
:
where
denotes
endowed with the strong dual topology
Unless indicated otherwise, the vector space
is usually assumed to be endowed with the strong dual topology induced on it by
in which case it is called the strong bidual of
; that is,
where the vector space
is endowed with the strong dual topology
Let be a locally convex TVS.
If is a barrelled space, then its topology coincides with the strong topology
on
and with the Mackey topology on generated by the pairing
If is a normed vector space, then its (continuous) dual space
with the strong topology coincides with the Banach dual space
; that is, with the space
with the topology induced by the operator norm. Conversely
-topology on
is identical to the topology induced by the norm on
- Dual topology
- Dual system
- List of topologies – List of concrete topologies and topological spaces
- Polar topology – Dual space topology of uniform convergence on some sub-collection of bounded subsets
- Reflexive space – Locally convex topological vector space
- Semi-reflexive space
- Strong topology
- Topologies on spaces of linear maps
- ^ Schaefer & Wolff 1999, p. 141.
- ^ Schaefer & Wolff 1999, p. 142.
- ^ Schaefer & Wolff 1999, p. 153.
- ^ Narici & Beckenstein 2011, pp. 225–273.
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- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
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