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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 (e.g. inner product, norm, topology, etc.) and the linear functions defi ...
, a branch of mathematics, the Goldstine theorem, named after
Herman Goldstine Herman Heine Goldstine (September 13, 1913 – June 16, 2004) was a mathematician and computer scientist, who worked as the director of the IAS machine at Princeton University's Institute for Advanced Study and helped to develop ENIAC, th ...
, is stated as follows: :Goldstine theorem. Let X be a
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) 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 vector ...
, 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 In functional analysis and related areas of mathematics, a sequence space is a vector space whose elements are infinite sequences of real or complex numbers. Equivalently, it is a function space whose elements are functions from the natural numb ...
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 Bourb ...
\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 The Hahn–Banach theorem is a central tool in functional analysis. It allows the extension of bounded linear functionals defined on a subspace of some vector space to the whole space, and it also shows that there are "enough" continuous linear f ...
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

* * * * *


References

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