In mathematics, a dual system, dual pair or a duality over a field is a triple consisting of two , and , over and a non-degenerate bilinear map .
In mathematics, duality is the study of dual systems and is important in functional analysis. Duality plays crucial roles in quantum mechanics because it has extensive applications to the theory of Hilbert space.
Definition, notation, and conventions
Pairings
A
or
pair over a field
is a triple
which may also be denoted by
consisting of two vector spaces
and
over
and a
bilinear map called the
bilinear map associated with the pairing, or more simply called the pairing's
map or its
bilinear form. The examples here only describe when
is either the
or the
, but the mathematical theory is general.
For every , define
and for every define
Every is a linear functional on and every is a linear functional on . Therefore both
form vector spaces of linear functionals.
It is common practice to write instead of , in which in some cases the pairing may be denoted by rather than . However, this article will reserve the use of for the canonical Initial topology (defined below) so as to avoid confusion for readers not familiar with this subject.
Dual pairings
A pairing
is called a , a , or a over
if the
bilinear form is non-degenerate, which means that it satisfies the following two separation axioms:
-
separates (distinguishes) points of : if is such that then ; or equivalently, for all non-zero , the map is not identically (i.e. there exists a such that for each );
-
separates (distinguishes) points of : if is such that then ; or equivalently, for all non-zero the map is not identically (i.e. there exists an such that for each ).
In this case
is
non-degenerate, and one can say that
places and in duality (or, redundantly but explicitly, in
separated duality), and
is called the
duality pairing of the triple
.
Total subsets
A subset
of
is called
if for every
,
implies
A total subset of
is defined analogously (see footnote).
[A subset of is total if for all , implies .] Thus
separates points of
if and only if
is a total subset of
, and similarly for
.
Orthogonality
The vectors
and
are
Orthogonality, written
, if
. Two subsets
and
are
Orthogonality, written
, if
; that is, if
for all
and
. The definition of a subset being orthogonal to a vector is defined
Analogy.
The orthogonal complement or annihilator of a subset is
Thus is a total subset of if and only if equals .
Polar sets
Given a triple
defining a pairing over
, the
absolute polar set or
polar set of a subset
of
is the set:
Symmetry, the absolute polar set or polar set of a subset
of
is denoted by
and defined by
To use bookkeeping that helps keep track of the anti-symmetry of the two sides of the duality, the absolute polar of a subset of may also be called the absolute prepolar or prepolar of and then may be denoted by .
The polar is necessarily a Convex set set containing where if is balanced then so is and if is a vector subspace of then so too is a vector subspace of
If is a vector subspace of then and this is also equal to the real polar of If then the bipolar of , denoted , is the polar of the orthogonal complement of , i.e., the set Similarly, if then the bipolar of is
Dual definitions and results
Given a pairing
define a new pairing
where
for all
and
.
There is a consistent theme in duality theory that any definition for a pairing has a corresponding dual definition for the pairing
- : Given any definition for a pairing one obtains a by applying it to the pairing These conventions also apply to theorems.
For instance, if " distinguishes points of " (resp, " is a total subset of ") is defined as above, then this convention immediately produces the dual definition of " distinguishes points of " (resp, " is a total subset of ").
This following notation is almost ubiquitous and allows us to avoid assigning a symbol to
- : If a definition and its notation for a pairing depends on the order of and (for example, the definition of the Mackey topology on ) then by switching the order of and then it is meant that definition applied to (continuing the same example, the topology would actually denote the topology ).
For another example, once the weak topology on is defined, denoted by , then this dual definition would automatically be applied to the pairing so as to obtain the definition of the weak topology on , and this topology would be denoted by rather than .
Identification of with
Although it is technically incorrect and an abuse of notation, this article will adhere to the nearly ubiquitous convention of treating a pairing
interchangeably with
and also of denoting
by
Examples
Restriction of a pairing
Suppose that
is a pairing,
is a vector subspace of
and
is a vector subspace of
. Then the
restriction of
to
is the pairing
If
is a duality, then it's possible for a restriction to fail to be a duality (e.g. if
and
).
This article will use the common practice of denoting the restriction by
Canonical duality on a vector space
Suppose that
is a vector space and let
denote the algebraic dual space of
(that is, the space of all linear functionals on
).
There is a canonical duality
where
which is called the
evaluation map or the
natural or
canonical bilinear functional on
Note in particular that for any
is just another way of denoting
; i.e.
If is a vector subspace of , then the restriction of to is called the canonical pairing where if this pairing is a duality then it is instead called the canonical duality. Clearly, always distinguishes points of , so the canonical pairing is a dual system if and only if separates points of
The following notation is now nearly ubiquitous in duality theory.
The evaluation map will be denoted by (rather than by ) and will be written rather than
- Assumption: As is common practice, if is a vector space and is a vector space of linear functionals on then unless stated otherwise, it will be assumed that they are associated with the canonical pairing
If is a vector subspace of then distinguishes points of (or equivalently, is a duality) if and only if distinguishes points of or equivalently if is total (that is, for all implies ).
Canonical duality on a topological vector space
Suppose
is a topological vector space (TVS) with continuous dual space
Then the restriction of the canonical duality
to
×
defines a pairing
for which
separates points of
If
separates points of
(which is true if, for instance,
is a Hausdorff locally convex space) then this pairing forms a duality.
- Assumption: As is commonly done, whenever is a TVS, then unless indicated otherwise, it will be assumed without comment that it's associated with the canonical pairing
Polars and duals of TVSs
The following result shows that the continuous linear functionals on a TVS are exactly those linear functionals that are bounded on a neighborhood of the origin.
Inner product spaces and complex conjugate spaces
A pre-Hilbert space
is a dual pairing if and only if
is vector space over
or
has dimension
Here it is assumed that the sesquilinear form
is conjugate homogeneous in its second coordinate and homogeneous in its first coordinate.
- If is a Hilbert space then forms a dual system.
- If is a complex Hilbert space then forms a dual system if and only if If is non-trivial then does not even form pairing since the inner product is sesquilinear rather than bilinear.
Suppose that is a complex pre-Hilbert space with scalar multiplication denoted as usual by juxtaposition or by a dot
Define the map
where the right-hand side uses the scalar multiplication of
Let denote the complex conjugate vector space of where denotes the additive group of (so vector addition in is identical to vector addition in ) but with scalar multiplication in being the map (instead of the scalar multiplication that is endowed with).
The map defined by is linear in both coordinates[That is linear in its first coordinate is obvious. Suppose is a scalar. Then which shows that is linear in its second coordinate.] and so forms a dual pairing.
Other examples
- Suppose and for all let Then is a pairing such that distinguishes points of but does not distinguish points of Furthermore,
- Let (where is such that ), and Then is a dual system.
- Let and be vector spaces over the same field Then the bilinear form places and in duality.
- A sequence space and its beta dual with the bilinear map defined as for forms a dual system.
Weak topology
Suppose that
is a pairing of
Vector space over
If
then the
weak topology on induced by (and
) is the weakest TVS topology on
denoted by
or simply
making each map
continuous as a function of
for every
. If
is not clear from context then it should be assumed to be all of
in which case it is called the
weak topology on
(induced by
).
The notation
or (if no confusion could arise) simply
is used to denote
endowed with the weak topology
Importantly, the weak topology depends on the function
the usual topology on
and
's
vector space structure but on the algebraic structures of
Similarly, if then the dual definition of the weak topology on induced by (and ), which is denoted by or simply (see footnote for details).[The weak topology on is the weakest TVS topology on making all maps continuous, as ranges over The dual notation of or simply may also be used to denote endowed with the weak topology If is not clear from context then it should be assumed to be all of in which case it is simply called the weak topology on (induced by ).]
- : If "" is attached to a topological definition (e.g. -converges, -bounded, etc.) then it means that definition when the first space (i.e. ) carries the topology. Mention of or even and may be omitted if no confusion arises. So, for instance, if a sequence in "-converges" or "weakly converges" then this means that it converges in whereas if it were a sequence in , then this would mean that it converges in ).
The topology is locally convex since it is determined by the family of seminorms defined by as ranges over
If and is a net in then -converges to if converges to in
A net -converges to if and only if for all converges to
If is a sequence of orthonormal vectors in Hilbert space, then converges weakly to 0 but does not norm-converge to 0 (or any other vector).
If is a pairing and is a proper vector subspace of such that is a dual pair, then is strictly coarser than
Bounded subsets
A subset
of
is
-bounded if and only if
where
Hausdorffness
If
is a pairing then the following are equivalent:
-
distinguishes points of ;
-
The map defines an injection from into the algebraic dual space of ;
-
is Hausdorff space.
Weak representation theorem
The following theorem is of fundamental importance to duality theory because it completely characterizes the continuous dual space of
Consequently, the continuous dual space of is
With respect to the canonical pairing, if is a TVS whose continuous dual space separates points on (i.e. such that is Hausdorff, which implies that is also necessarily Hausdorff) then the continuous dual space of is equal to the set of all "evaluation at a point " maps as ranges over (i.e. the map that send to ).
This is commonly written as
This very important fact is why results for polar topologies on continuous dual spaces, such as the strong dual topology on for example, can also often be applied to the original TVS ; for instance, being identified with means that the topology on can instead be thought of as a topology on
Moreover, if is endowed with a topology that is finer than then the continuous dual space of will necessarily contain as a subset.
So for instance, when is endowed with the strong dual topology (and so is denoted by ) then
which (among other things) allows for to be endowed with the subspace topology induced on it by, say, the strong dual topology (this topology is also called the strong bidual topology and it appears in the theory of : the Hausdorff locally convex TVS is said to be if and it will be called if in addition the strong bidual topology on is equal to 's original/starting topology).
Orthogonals, quotients, and subspaces
If
is a pairing then for any subset
of
:
- and this set is -closed;
- ;
-
Thus if is a -closed vector subspace of then
If is a family of -closed vector subspaces of then
If is a family of subsets of then
If is a normed space then under the canonical duality, is norm closed in and is norm closed in
Subspaces
Suppose that
is a vector subspace of
and let
denote the restriction of
to
The weak topology
on
is identical to the subspace topology that
inherits from
Also, is a paired space (where means ) where is defined by
The topology is equal to the subspace topology that inherits from
Furthermore, if is a dual system then so is
Quotients
Suppose that
is a vector subspace of
Then
is a paired space where
is defined by
The topology is identical to the usual quotient topology induced by on
Polars and the weak topology
If
is a locally convex space and if
is a subset of the continuous dual space
then
is
-bounded if and only if
for some
Barrelled space in
The following results are important for defining polar topologies.
If is a pairing and then:
- The polar of is a closed subset of
- The polars of the following sets are identical: (a) ; (b) the convex hull of ; (c) the Balanced set of ; (d) the -closure of ; (e) the -closure of the convex balanced hull of
- The bipolar theorem: The bipolar of denoted by is equal to the -closure of the convex balanced hull of
-
The bipolar theorem in particular "is an indispensable tool in working with dualities."
- is -bounded if and only if is Absorbing set in
- If in addition distinguishes points of then is -bounded if and only if it is -totally bounded.
If is a pairing and is a locally convex topology on that is consistent with duality, then a subset of is a Barreled space in if and only if is the Polar set of some -bounded subset of
Transposes
Transposes of a linear map with respect to pairings
Let
and
be pairings over
and let
be a linear map.
For all let be the map defined by
It is said that s transpose or adjoint is well-defined if the following conditions are satisfied:
-
distinguishes points of (or equivalently, the map from into the algebraic dual is Injective map), and
-
where and .
In this case, for any there exists (by condition 2) a unique (by condition 1) such that ), where this element of will be denoted by
This defines a linear map
called the transpose or adjoint of with respect to and (this should not be confused with the Hermitian adjoint).
It is easy to see that the two conditions mentioned above (i.e. for "the transpose is well-defined") are also necessary for to be well-defined.
For every the defining condition for is
that is,
for all
By the conventions mentioned at the beginning of this article, this also defines the transpose of linear maps of the form [If is a linear map then 's transpose, is well-defined if and only if distinguishes points of and In this case, for each the defining condition for is:
]
[If is a linear map then 's transpose, is well-defined if and only if distinguishes points of and In this case, for each the defining condition for is: ]
[If is a linear map then 's transpose, is well-defined if and only if distinguishes points of and In this case, for each the defining condition for is: ]
[If is a linear map then 's transpose, is well-defined if and only if distinguishes points of and In this case, for each the defining condition for is: ] etc. (see footnote).
Properties of the transpose
Throughout,
and
be pairings over
and
will be a linear map whose transpose
is well-defined.
-
is injective (i.e. ) if and only if the range of is dense in
-
If in addition to being well-defined, the transpose of is also well-defined then
-
Suppose is a pairing over and is a linear map whose transpose is well-defined. Then the transpose of which is is well-defined and
-
If is a vector space isomorphism then is bijective, the transpose of which is is well-defined, and
-
Let and let denotes the Polar set of then:
-
;
-
if for some then ;
-
if is such that then ;
-
if and are weakly closed disks then if and only if ;
-
- These results hold when the real polar is used in place of the absolute polar.
If and are normed spaces under their canonical dualities and if is a continuous linear map, then
Weak continuity
A linear map
is
weakly continuous (with respect to
and
) if
is continuous.
The following result shows that the existence of the transpose map is intimately tied to the weak topology.
Weak topology and the canonical duality
Suppose that
is a vector space and that
is its the algebraic dual.
Then every
-bounded subset of
is contained in a finite dimensional vector subspace and every vector subspace of
is
-closed.
Weak completeness
If
is a complete topological vector space say that
is
-complete or (if no ambiguity can arise)
weakly-complete.
There exist
that are not weakly-complete (despite being complete in their norm topology).
If is a vector space then under the canonical duality, is complete.
Conversely, if is a Hausdorff locally convex TVS with continuous dual space then is complete if and only if ; that is, if and only if the map defined by sending to the evaluation map at (i.e. ) is a bijection.
In particular, with respect to the canonical duality, if is a vector subspace of such that separates points of then is complete if and only if
Said differently, there does exist a proper vector subspace of such that is Hausdorff and is complete in the weak-* topology (i.e. the topology of pointwise convergence).
Consequently, when the continuous dual space of a Hausdorff space locally convex TVS is endowed with the weak-* topology, then is complete if and only if (that is, if and only if linear functional on is continuous).
Identification of Y with a subspace of the algebraic dual
If
distinguishes points of
and if
denotes the range of the injection
then
is a vector subspace of the algebraic dual space of
and the pairing
becomes canonically identified with the canonical pairing
(where
is the natural evaluation map).
In particular, in this situation it will be assumed without loss of generality that
is a vector subspace of
's algebraic dual and
is the evaluation map.
- : Often, whenever is injective (especially when forms a dual pair) then it is common practice to assume without loss of generality that is a vector subspace of the algebraic dual space of that is the natural evaluation map, and also denote by
In a completely analogous manner, if distinguishes points of then it is possible for to be identified as a vector subspace of 's algebraic dual space.
Algebraic adjoint
In the special case where the dualities are the canonical dualities
and
the transpose of a linear map
is always well-defined.
This transpose is called the
algebraic adjoint of
and it will be denoted by
;
that is,
In this case, for all
where the defining condition for
is:
or equivalently,
If for some integer is a basis for with dual basis is a linear operator, and the matrix representation of with respect to is then the transpose of is the matrix representation with respect to of
Weak continuity and openness
Suppose that
and
are canonical pairings (so
and
) that are dual systems and let
be a linear map.
Then
is weakly continuous if and only if it satisfies any of the following equivalent conditions:
-
is continuous.
-
-
the transpose of F, with respect to and is well-defined.
If
is weakly continuous then
will be continuous and furthermore,
A map between topological spaces is relatively open if is an , where is the range of
Suppose that and are dual systems and is a weakly continuous linear map.
Then the following are equivalent:
-
is relatively open.
-
The range of is -closed in ;
-
Furthermore,
-
is injective (resp. bijective) if and only if is surjective (resp. bijective);
-
is surjective if and only if is relatively open and injective.
Transpose of a map between TVSs
The transpose of map between two TVSs is defined if and only if
is weakly continuous.
If is a linear map between two Hausdorff locally convex topological vector spaces, then:
-
If is continuous then it is weakly continuous and is both Mackey continuous and strongly continuous.
-
If is weakly continuous then it is both Mackey continuous and strongly continuous (defined below).
-
If is weakly continuous then it is continuous if and only if maps Equicontinuity subsets of to equicontinuous subsets of
-
If and are normed spaces then is continuous if and only if it is weakly continuous, in which case
-
If is continuous then is relatively open if and only if is weakly relatively open (i.e. is relatively open) and every equicontinuous subsets of is the image of some equicontinuous subsets of
-
If is continuous injection then is a TVS-embedding (or equivalently, a topological embedding) if and only if every equicontinuous subsets of is the image of some equicontinuous subsets of
Metrizability and separability
Let
be a
locally convex space with continuous dual space
and let
-
If is equicontinuous or -compact, and if is such that is dense in then the subspace topology that inherits from is identical to the subspace topology that inherits from
-
If is Separable space and is equicontinuous then when endowed with the subspace topology induced by is Metrizable space.
-
If is separable and Metrizable TVS, then is separable.
-
If is a normed space then is separable if and only if the closed unit call the continuous dual space of is metrizable when given the subspace topology induced by
-
If is a normed space whose continuous dual space is separable (when given the usual norm topology), then is separable.
Polar topologies and topologies compatible with pairing
Starting with only the weak topology, the use of
produces a range of locally convex topologies.
Such topologies are called
polar topologies.
The weak topology is the weakest topology of this range.
Throughout, will be a pairing over and will be a non-empty collection of -bounded subsets of
Polar topologies
Given a collection
of subsets of
, the
polar topology on
determined by
(and
) or the
-topology on
is the unique topological vector space (TVS) topology on
for which
forms a
subbasis of neighborhoods at the origin.
When
is endowed with this
-topology then it is denoted by
Y.
Every polar topology is necessarily
locally convex.
When
is a
directed set with respect to subset inclusion (i.e. if for all
there exists some
such that
) then this neighborhood subbasis at 0 actually forms a neighborhood basis at 0.
The following table lists some of the more important polar topologies.
- : If denotes a polar topology on then endowed with this topology will be denoted by or simply (e.g. for we'd have so that and all denote endowed with ).
|
|
finite subsets of (or -closed disked hulls of finite subsets of ) |
| pointwise/simple convergence | Weak topology |
-compact disks | | | Mackey topology |
-compact convex subsets | | compact convex convergence | |
-compact subsets (or balanced -compact subsets) | | compact convergence | |
-bounded subsets |
| bounded convergence | strong topology Strongest polar topology |
Definitions involving polar topologies
Continuity
A linear map is Mackey continuous (with respect to and ) if is continuous.
A linear map is strongly continuous (with respect to and ) if is continuous.
Bounded subsets
A subset of
is
weakly bounded (resp.
Mackey bounded,
strongly bounded) if it is bounded in
(resp. bounded in
bounded in
).
Topologies compatible with a pair
If
is a pairing over
and
is a vector topology on
then
is a
topology of the pairing and that it is
compatible (or
consistent)
with the pairing if it is
locally convex and if the continuous dual space of
[Of course, there is an analogous definition for topologies on to be "compatible it a pairing" but this article will only deal with topologies on ]
If
distinguishes points of
then by identifying
as a vector subspace of
's algebraic dual, the defining condition becomes:
Some authors (e.g. Trèves and Schaefer) require that a topology of a pair also be Hausdorff, which it would have to be if
distinguishes the points of
(which these authors assume).
The weak topology is compatible with the pairing (as was shown in the Weak representation theorem) and it is in fact the weakest such topology.
There is a strongest topology compatible with this pairing and that is the Mackey topology.
If is a normed space that is not Reflexive space then the usual norm topology on its continuous dual space is compatible with the duality
Mackey–Arens theorem
The following is one of the most important theorems in duality theory.
It follows that the Mackey topology which recall is the polar topology generated by all -compact disks in is the strongest locally convex topology on that is compatible with the pairing
A locally convex space whose given topology is identical to the Mackey topology is called a Mackey space.
The following consequence of the above Mackey-Arens theorem is also called the Mackey-Arens theorem.
Mackey's theorem, barrels, and closed convex sets
If
is a TVS (over
or
) then a
half-space is a set of the form
for some real
and some continuous linear functional
on
The above theorem implies that the closed and convex subsets of a locally convex space depend on the continuous dual space. Consequently, the closed and convex subsets are the same in any topology compatible with duality;that is, if and are any locally convex topologies on with the same continuous dual spaces, then a convex subset of is closed in the topology if and only if it is closed in the topology.
This implies that the -closure of any convex subset of is equal to its -closure and that for any -closed disk in
In particular, if is a subset of then is a Barrelled space in if and only if it is a barrel in
The following theorem shows that Barrelled space (i.e. closed Absorbing set disks) are exactly the polars of weakly bounded subsets.
If is a topological vector space, then:
-
A closed Absorbing set and Balanced set subset of absorbs each convex compact subset of (i.e. there exists a real such that contains that set).
-
If is Hausdorff and locally convex then every barrel in absorbs every convex bounded complete subset of
All of this leads to Mackey's theorem, which is one of the central theorems in the theory of dual systems.
In short, it states the bounded subsets are the same for any two Hausdorff locally convex topologies that are compatible with the same duality.
Space of finite sequences
Let
denote the space of all sequences of scalars
such that
for all sufficiently large
Let
and define a bilinear map
by
Then
Moreover, a subset
is
-bounded (resp.
-bounded) if and only if there exists a sequence
of positive real numbers such that
for all
and all indices
(resp. and
).
It follows that there are weakly bounded (that is, -bounded) subsets of that are not strongly bounded (that is, not -bounded).
See also
Notes
Bibliography
-
Michael Reed and Barry Simon, Methods of Modern Mathematical Physics, Vol. 1, Functional Analysis, Section III.3. Academic Press, San Diego, 1980. .
External links