Goldstine theorem
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functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (for example, Inner product space#Definition, inner product, Norm (mathematics ...
, a branch of mathematics, the Goldstine theorem, named after Herman Goldstine, is stated as follows: :Goldstine theorem. Let X be a
Banach space In mathematics, more specifically in functional analysis, a Banach space (, ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vectors and ...
, then the image of the closed unit ball B \subseteq X under the canonical embedding into the closed unit ball B^ of the bidual space X^ is a weak*-
dense subset In topology and related areas of mathematics, a subset ''A'' of a topological space ''X'' is said to be dense in ''X'' if every point of ''X'' either belongs to ''A'' or else is arbitrarily "close" to a member of ''A'' — for instance, the ra ...
. The conclusion of the theorem is not true for the norm topology, which can be seen by considering the Banach space of real sequences that converge to zero, c0 space c_0, and its bi-dual space
Lp space In mathematics, the spaces are function spaces defined using a natural generalization of the -norm for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named after Henri Lebesgue , although according to the Bourba ...
\ell^.


Proof


Lemma

For all x^ \in B^, \varphi_1, \ldots, \varphi_n \in X^ and \delta > 0, there exists an x \in (1+\delta)B such that \varphi_i(x) = x^(\varphi_i) for all 1 \leq i \leq n.


Proof of lemma

By the surjectivity of \begin \Phi : X \to \Complex^, \\ x \mapsto \left(\varphi_1(x), \cdots, \varphi_n(x) \right) \end it is possible to find x \in X with \varphi_i(x) = x^(\varphi_i) for 1 \leq i \leq n. Now let Y := \bigcap_i \ker \varphi_i = \ker \Phi. Every element of z \in (x + Y) \cap (1 + \delta)B satisfies z \in (1+\delta)B and \varphi_i(z) = \varphi_i(x)= x^(\varphi_i), so it suffices to show that the intersection is nonempty. Assume for contradiction that it is empty. Then \operatorname(x, Y) \geq 1 + \delta and by the
Hahn–Banach theorem In functional analysis, the Hahn–Banach theorem is a central result that allows the extension of bounded linear functionals defined on a vector subspace of some vector space to the whole space. The theorem also shows that there are sufficient ...
there exists a linear form \varphi \in X^ such that \varphi\big\vert_Y = 0, \varphi(x) \geq 1 + \delta and \, \varphi\, _ = 1. Then \varphi \in \operatorname \left\ and therefore 1+\delta \leq \varphi(x) = x^(\varphi) \leq \, \varphi\, _ \left\, x^\right\, _ \leq 1, which is a contradiction.


Proof of theorem

Fix x^ \in B^, \varphi_1, \ldots, \varphi_n \in X^ and \epsilon > 0. Examine the set U := \left\. Let J : X \rightarrow X^ be the embedding defined by J(x) = \text_x, where \text_x(\varphi) = \varphi(x) is the evaluation at x map. Sets of the form U form a base for the weak* topology, so density follows once it is shown J(B) \cap U \neq \varnothing for all such U. The lemma above says that for any \delta > 0 there exists a x \in (1+\delta)B such that x^(\varphi_i)=\varphi_i(x), 1\leq i\leq n, and in particular \text_x \in U. Since J(B) \subset B^, we have \text_x \in (1+\delta)J(B) \cap U. We can scale to get \frac \text_x \in J(B). The goal is to show that for a sufficiently small \delta > 0, we have \frac \text_x \in J(B) \cap U. Directly checking, one has \left, \left ^ - \frac \text_x\right\varphi_i)\ = \left, \varphi_i(x) - \frac\varphi_i(x)\ = \frac , \varphi_i(x), . Note that one can choose M sufficiently large so that \, \varphi_i\, _ \leq M for 1 \leq i \leq n. Note as well that \, x\, _ \leq (1+\delta). If one chooses \delta so that \delta M < \epsilon, then \frac \left, \varphi_i(x)\ \leq \frac \, \varphi_i\, _ \, x\, _ \leq \delta \, \varphi_i\, _ \leq \delta M < \epsilon. Hence one gets \frac \text_x \in J(B) \cap U as desired.


See also

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References

* {{Functional Analysis Banach spaces Theorems in functional analysis de:Schwach-*-Topologie#Eigenschaften