Note that in the case of the reals or complex we have the norm as the absolute value. Also we say that a linear functional is real if and say that it is complex if
The above equates to saying that there exists some such that for all
Dual Space
Suppose that is a normed vector space over a field then we define the the dual space to be the set of all bounded linear functionals, denoted by
The Dual Space Is a Normed Vector Space
Given a vector space then is a normed vector space using the operator norm.
TODO: Add the proof here.
The Dual Space Is a Banach Space
Given a vector space then is a banach space
TODO: Add the proof here.
What's interesting is that the above holds whether or not is a banach space.
The Dual Space of Rn Is Rn
The dual space of is isomorphic to
TODO: Add the proof here.
The Dual of Lp Is Lq
The dual space of is where and
A Schauder basis for is , where as in the preceding example. Then every has a unique representation
(9)
Given any in the dual space of , since it is is linear and bounded we have:
Let be the conjugate of (cf. 1.2-3) and consider with
Thus we have:
We also have, using (11) and ,
(sum from 1 to ). Together,
Dividing by the last factor and using , we get
The Dual Space of l1 Is l Infinity
As per title.
We first recall that a Schauder basis for is given by , that is has 1 in the kth place and zeros everywhere else, so that every has a unique representation of the form
We consider any in the dual space of . Since is linear and bounded then we know
By construction we note that and therefore we have:
Therefore we can conclude that so then . But for every then defined by
where is linear, additionally it is bounded:
Therefore we can conclude that is in the dual of . We will now show that the norm of is the norm on the space
Therefore when we take this supremum over all on the unit circle we attain that:
But earlier in the proof we had the other direction of the above inequality so we have which is the norm, that is we have where , showing that the mapping is a bijective linear mapping of onto therefore it is an isomorphism, as needed.
Hahn Banach
Let be a real vector space, a sublinear functional on a subspace of , and a linear functional on such that for all . Then there exists a linear functional on such that for all and .
We begin by showing that if can be extended to a linear functional on satisfying there. If , we have
or
Hence
Let be any number satisfying
and define by . Then is clearly linear, and , so that for . Moreover, if and .
whereas if ,
Thus for all .
Evidently the same reasoning can be applied to any linear extension of satisfying on its domain, and it shows that the domain of a maximal linear extension satisfying must be the whole space . But the family of all tinear extensions of satisfying is partially ordered by inclusion (maps from subspaces of to being regarded as subsets of ). Since the union of any increasing family of subspaces of is agath a subspace, one casily sees that the union of a linearly ordered subfamily of lies in . The proof is therefore completed by invoking Zom's lemma.
5.6 The Hahn-Banach Theorem.
5.7 The Complex Hahn-Banach Theorem. Let be a complex vector space, a seminorm on a subspace of , and a complex linear functional on such that for . Then there exists a complex linear functional on such that for all and .
Proof. Let . By Theorem 5.6 there is a real linear extension of to such that for all . Let as in Proposition 5.5. Then is a complex linear extension of , and as in the proof of Proposition 5.5, if we have .
5.8 Theorem. Let be a normed vector space.
a. If is a closed subspace of and , there exists such that and . In fact, if can be taken to satisfy and .
b. If , there exists such that and .
c. The bounded linear functionals on separate points.
d. If , define by . Then the map is a linear isometry from into (the dual of ).
Proof. To prove (a), define on by . Then , and for . Thus the Hahn-Banach theorem can be applied, with and replaced by . (b) is the spectal case of (a) with , and (c) follows immediately: if , there exists with , i.e., . As for (d), obviously is a linear functional on and the map is linear. Moroever, , so . On the other hand, (b) implies that .
With notation as in Theorem 5.8d, let . Since is always complete, the closure of in is a Banach space, and the map embeds into as a dense subspace. is called the completion of . In particular, if is itself a Banach space then .
If is finite-dimensional, then of course , since these spaces have the same dimension. For infinite-dimensional Banach spaces it may or may not happen that ; if it does, is called reflexive. The examples of Banach spaces we have examined so far are not reflexive except in trivial cases where they turn out to be finite-dimensional. We shall prove some cases of this assertion and present examples of reflexive Banach spaces in later sections.
Usually we shall identify with and thus regard as a superspace of ; reflexivity then means that
We already know (Background Information):
(Folland)Theorem 5.8 - Let be a normed vector space.
a.) If is a closed subspace of and , there exists such that and . In fact, if can be taken to satisfy and .
Question:
Let be a normed vector space.
a.) If is a closed subspace and then is closed. (Use Theorem 5.8a.)).
b.) Every finite-dimensional subspace of is closed.
Proof a.) - Let be a proper closed subspace of and let . There exists such that and . Let be a sequence in that converges to . Then
since is continuous, so converges to , which implies that converges to . Therefore
which lies in because is closed. It follows that , which shows that is closed.
Proof b.) - Let be a finite dimensional subspace of . Let be a basis of . Now, note that is a closed subspace of . So, by item a.), is a closed subspace of . Again, by item a.) we have that is a closed subspace of . Repeating the argument enough times, we have that is a closed subspace of . But . So we have proved that is a closed subspace of .