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Basic Analysis – Gently Done Topological Vector Spaces

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9. The Dual Space of a Normed Space<br />

Let X be a normed space over K. The space of all bounded linear functionals<br />

on X, B(X,K), is denoted by X ∗ and called the dual space of X. Since K is<br />

complete, X ∗ is a Banach space.<br />

The Hahn-Banach theorem assures us that X ∗ is non-trivial—indeed, X ∗ separates<br />

the points of X. Now, X ∗ is a normed space in its own right, so we may<br />

consider its dual, X ∗∗ , this is called the bidual or double dual of X.<br />

Let x ∈ X, and consider the mapping<br />

ℓ ∈ X ∗ : ℓ ↦→ ℓ(x).<br />

Evidently, this is a linear map from X ∗ into the field of scalars K. Moreover,<br />

|ℓ(x)| ≤ �ℓ��x�, for every ℓ ∈ X ∗ ,<br />

so we see that this is a bounded linear map from X ∗ into K, that is, it defines an<br />

element of X ∗∗ . It turns out, in fact, that this leads to an isometric embedding of<br />

X into X ∗∗ , as we now show.<br />

Theorem 9.1 Let X be a normed space, and for x ∈ X, let ϕ x : X ∗ → K be<br />

the evaluation map ϕ x (ℓ) = ℓ(x), ℓ ∈ X ∗ . Then x ↦→ ϕ x is an isometric linear<br />

mapping of X into X ∗∗ .<br />

Proof We have seen that ϕ x ∈ X ∗∗ for each x ∈ X. It is easy to see that x ↦→ ϕ x<br />

is linear. We have<br />

for all x,y ∈ X, and t ∈ K. Also<br />

ϕ tx+y (ℓ) = ℓ(tx+y) = tℓ(x)+ℓ(y)<br />

= tϕ x (ℓ)+ϕ y (ℓ)<br />

|ϕ x (ℓ)| = |ℓ(x)| ≤ �ℓ��x�, for all ℓ ∈ X ∗ ,<br />

99

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