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Basic Analysis – Gently Done Topological Vector Spaces

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5: <strong>Vector</strong> <strong>Spaces</strong> 51<br />

We can extend this result to the complex case, but of course one has to take<br />

the modulus of the various quantities appearing in the inequalities. We also need<br />

to know that p behaves well with regard to the extraction of complex scalars from<br />

its argument. The appropriate notion turns out to be that of a seminorm—this<br />

will play a major rôle in the study of topological vector spaces.<br />

Definition 5.21 Let X be a vector space over K. A mapping p : X → R is said to<br />

be a seminorm if<br />

(1) p(x) ≥ 0 for all x ∈ X,<br />

(2) p(x+y) ≤ p(x)+p(y) for all x,y ∈ X,<br />

(3) p(λx) = |λ|p(x) for all x ∈ X and all λ ∈ K.<br />

In words, p is positive, subadditive and absolutely homogeneous. If p has the<br />

additional property that p(x) = 0 implies that x = 0, then p is a norm on X.<br />

The following complex version of the Hahn-Banach theorem will be seen to be<br />

a consequence of the real version by exploiting the relationship between a complex<br />

linear functional and its real part.<br />

Theorem 5.22 (Hahn-Banach theorem (complex version)) Suppose that M is<br />

a linear subspace of a vector space X over K, p is a seminorm on X, and f is a<br />

linear functional on M such that<br />

|f(x)| ≤ p(x) for x ∈ M.<br />

Then there is a linear functional Λ on X that satisfies Λ ↾ M = f and<br />

|Λ(x)| ≤ p(x) for all x ∈ X.<br />

Proof If K = R, then, by the previous theorem, there is a suitable Λ with<br />

−p(−x) ≤ Λ(x) ≤ p(x) for x ∈ X.<br />

However, p(−x) = p(x) since p is a seminorm, and so |Λ(x)| ≤ p(x) for x ∈ X, as<br />

required.<br />

NowsupposethatK = C. ConsiderX asarealvectorspace, andnotethatRef<br />

is a real linear functional on X satisfying Ref(x) ≤ |f(x)| ≤ p(x), for x ∈ M. By<br />

the earlier version of the Hahn-Banach theorem, there is a real linear functional<br />

g : X → R on X such that g ↾ M = Ref and g(x) ≤ p(x) for x ∈ X. Set<br />

Λ(x) = g(x)−ig(ix) for x ∈ X. Then Λ : X → C is a complex linear functional.<br />

Moreover, for any x ∈ M, we have<br />

Λ(x) = g(x)−ig(ix) = Ref(x)−iRef(ix) = f(x)

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