Basic Analysis – Gently Done Topological Vector Spaces
Basic Analysis – Gently Done Topological Vector Spaces
Basic Analysis – Gently Done Topological Vector Spaces
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9: The Dual Space of a Normed Space 101<br />
Now suppose that X ∗ = X ∗∗∗ and suppose that X �= X ∗∗ . Then, by Corollary<br />
7.30, there is λ ∈ X ∗∗∗ such that λ �= 0 but λ vanishes on X in X ∗∗ ,<br />
i.e., λ(ϕ x ) = 0 for all x ∈ X. But then λ can be written as λ = ψ ℓ for some<br />
ℓ ∈ X ∗ , since X ∗ = X ∗∗∗ , and so<br />
λ(ϕ x ) = ψ ℓ (ϕ x )<br />
= ϕ x (ℓ) = ℓ(x)<br />
which gives 0 = λ(ϕ x ) = ℓ(x) for all x ∈ X, i.e., ℓ = 0 in X ∗ .<br />
It follows that ψ ℓ = 0 in X ∗∗∗ and so λ = 0. This is a contradiction and we<br />
conclude that X = X ∗∗ .<br />
Corollary 9.5 Suppose that the Banach space X is not reflexive. Then the<br />
natural inclusions X ⊆ X ∗∗ ⊆ X ∗∗∗∗ ⊆ ... and X ∗ ⊆ X ∗∗∗ ⊆ ... are all strict.<br />
Proof Let X0 = X and, for n ∈ N, set Xn = X∗ n−1 . If Xn = Xn+2 , then it follows<br />
that Xn−1 = Xn+1 . Repeating this argument, we deduce that X0 = X2 , which is<br />
to say that X is reflexive. Note that the equalities here are to be understood as<br />
the linear isometric isomorphisms as introduced above.<br />
We shall now compute the duals of some of the classical Banach spaces. For<br />
any p ∈ Rwith1 ≤ p < ∞, thespace ℓ p isthespaceofcomplex sequences x = (x n )<br />
such that<br />
�x� p = ��∞<br />
n=1 |x n |p�1<br />
p < ∞.<br />
We shall consider the cases 1 < p < ∞ and show that for such p, �·� p is a norm<br />
and that ℓp is a Banach space with respect to this norm. We will also show that<br />
= 1. It therefore follows<br />
the dual of ℓ p is ℓ q , where q is given by the formula 1<br />
p<br />
that these spaces are reflexive. At this stage, it is not even clear that ℓ p is a<br />
linear space, never mind whether or not �·� p is a norm. We need some classical<br />
inequalities.<br />
+ 1<br />
q<br />
Proposition 9.6 Let a, b ≥ 0 and α, β > 0 with α+β = 1. Then<br />
with equality if and only if a = b.<br />
a α b β ≤ αa+βb<br />
Proof We note that the function t ↦→ e t is strictly convex; for any x,y ∈ R,<br />
e (αx+βy) < αe x +βe y . Putting a = e x , b = e y gives the required result.