Existence of Support Functional
Theorem
Let $\mathbb F \in \set {\R, \C}$.
Let $\struct {X, \norm \cdot_X}$ be a normed vector space over $\mathbb F$.
Let $\struct {X^\ast, \norm \cdot_{X^\ast} }$ be the normed dual space of $X$.
Let $x \in X$.
Then there exists $f \in X^\ast$ such that:
- $(1): \quad$ $\norm f_{X^\ast} = 1$
- $(2): \quad$ $\map f x = \norm x_X$.
That is:
- there exists a support functional at $x$.
Proof
Let:
- $U = \span {\set x}$
Then $U$ consists precisely of the $u \in X$ of the form:
- $u = \alpha x$
for $\alpha \in \mathbb F$.
From Linear Span is Linear Subspace, we have:
- $U$ is a linear subspace of $X$.
Let $\struct {U^\ast, \norm \cdot_{U^\ast} }$ be the normed dual space of $U$.
Define $f_0 : U \to \R$ by:
- $\map {f_0} {\alpha x} = \alpha \norm x_X$
for each $\alpha \in \mathbb F$.
In particular, we have:
- $\map {f_0} x = \norm x$
We show that this is a linear functional.
Let $u, v \in U$ and $k, l \in \mathbb F$.
Then there exists $\alpha, \beta \in \mathbb F$ such that:
- $u = \alpha x$
and:
- $v = \beta x$
We then have:
\(\ds \map {f_0} {k u + l v}\) | \(=\) | \(\ds \map {f_0} {k \alpha x + l \beta x}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map {f_0} {\paren {k \alpha + l \beta} x}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {k \alpha + l \beta} \norm x_X\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds k \alpha \norm x_X + l \beta \norm x_X\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds k \map {f_0} u + l \map {f_0} v\) |
so $f_0$ is a linear functional.
Now we show that $f_0 \in X^\ast$ and:
- $\norm {f_0}_{U^\ast} = 1$
Let $u \in U$ and write:
- $u = \alpha x$
for $\alpha \in \mathbb F$.
We then have:
\(\ds \size {\map {f_0} u}\) | \(=\) | \(\ds \size {\map {f_0} {\alpha x} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \size {\alpha \norm x_X}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \size \alpha \norm x_X\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \norm {\alpha x}_X\) | Definition of Norm | |||||||||||
\(\ds \) | \(=\) | \(\ds \norm u_X\) |
so we have that $f_0$ is bounded.
That is, $f \in U^\ast$.
We then have:
- $\ds \sup_{\norm u_X = 1} \size {\map {f_0} u} = 1$
That is, from the definition of dual norm, we have:
- $\norm {f_0}_{U^\ast} = 1$
We apply:
- Hahn-Banach Theorem: Real Vector Space: Corollary 2 if $\mathbb F = \R$
- Hahn-Banach Theorem: Complex Vector Space: Corollary if $\mathbb F = \C$
to find that there exists $f \in X^\ast$ such that:
- $f$ extends $f_0$ to $X$
and:
- $\ds \norm f_{X^\ast} = \norm {f_0}_{U^\ast} = 1$
Since $f$ extends $f_0$, we have:
- $\map f x = \map {f_0} x = \norm x$
So $f$ is the required linear functional.
$\blacksquare$
Sources
- 2020: James C. Robinson: Introduction to Functional Analysis ... (previous) ... (next) $20.1$: Existence of a Support Functional