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duality of Lspaces first bite
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2.1. Duality of Lp-spaces: first bite. An important task in this Chapter will be that of characterizing the duals of Lp-spaces for 1 ≤ p < ∞. The theorem is easier to state than to prove: the dual of Lp “is” Lq , where p−^1 + q−^1 = 1 (and q = ∞ in the case p = 1). The Section B course included proofs of this duality for `p-spaces and for L 2 (which is a Hilbert space).
Theorem 2.1. Let 1 ≤ p ≤ ∞, let q be the conjugate index and let (Ω, F , μ) be a (σ-finite) measure space. There is a linear isometric embedding Uq : Lq → L∗ p given by
(Uq (y))(x) = 〈x, y〉 =
Ω
x(t)y(t) dμ(t).
Proof. By H¨older’s inequality the integral defining (Uq (y))(x) exists and we have
|(Uq (y))(x)| ≤ ‖y‖q ‖x‖p.
Since linearity of Uq (y) is trivial we thus have Uq (y) ∈ L∗ p with
‖Uq (y)‖ ≤ ‖y‖q ,.
The operator Uq (which is also patently linear) is thus of norm at most 1; we need to show it is isometric. So let y ∈ Lq be an element with ‖y‖q = 1. Initially assume that 1 < p < ∞, set x = |y|q/psign y and observe that
‖x‖p = 1 ; (Uq (y))(x) =
xy dμ =
|y|q/p|y| dμ =
|y|q^ dμ = 1.
We deduce that ‖Uq (y)‖ = 1 as required. If p = ∞ we simply set x = sign y and have
‖x‖∞ = 1 ; (U 1 (y))(x) =
xy dμ =
|y| dμ = ‖y‖ 1 = 1.
Finally, in the case p = 1, need to be a little more careful, since σ-finiteness comes into the argument. Let y ∈ L∞ be an element with ‖y‖∞ = 1. For any r < 1 the set [|y| ≥ r] is non null and by σ-finiteness, we can choose a set A ∈ F with A ⊆ [|y| ≥ r], and 0 < μ(A) < ∞. We now set
x = (μ(A))−^1 sign y (^1) A,
and have
x ∈ L 1 , ‖x‖ 1 = 1, (U∞(y))(x) = (μ(A))−^1
A
|y| dμ ≥ r.
The difficult part of our duality proofs will involve proving that Uq is surjective and we defer this to a later section. Let us note that (except in the finite-dimensional case) U 1 is never a surjection from L 1 onto L∗∞. We shall show, in due course, that Uq is surjective in all other cases. Notice, in passing, the use of the angle-brackets notation 〈·, ·〉 for the duality between Lp and Lq. We shall use the same notation in the context of the familiar duality between p andq , putting
〈x, y〉 =
n=
x(n)y(n).
2.2. Disjointness in Lp. Another theme in this chapter is going to be the question: to what extent is Lp(0, 1) “like” p? We know that when p = 2 these spaces are isometrically isomorphic. What happens when p 6 = 2? We start by observing that there is at least some similarity between Lp andp.
Definition 2.2. If x is a scalar-valued function on some set Γ we define the support of x to be
supp x = {γ ∈ Γ : x(γ) 6 = 0}.
We say that two functions x and y are disjointly supported, or just disjoint, if supp x ∩ supp y = ∅. When we are thinking of elements of Lp we say that x and y are disjoint if μ(supp x ∩ supp y) = 0, or equivalently xy = 0 a.e.
Proposition 2.3. Let 1 ≤ p < ∞ and let (xk)k∈N be a disjoint sequence of non-zero vectors in Lp(μ). Then
k∈N
xk‖p =
k∈N
‖xk‖pp
) 1 /p .
The closed linear span X = sp〈{xk : k ∈ N}〉 is isometrically isomorphic to `p and is complemented in Lp(μ) by a projection P of norm 1.
16
17
Proof. We observe that for disjointly supported vectors
|
k
xk|p^ =
k
|xk|p.
Hence
‖
∑^ n
k=
xk‖pp =
∑^ n
k=
xk
p dμ
∫ (^) ∑n
k=
|xk|pdμ by disjointness
∑^ n
k=
|xk|pdμ =
∑^ n
k=
‖xk‖pp.
Replacing xk with the normalized vector ˆxk = ‖xk‖− p 1 xk, we may assume that ‖xk‖p = 1. There is a unique linear mapping T : c 00 → p satisfying t(ek) = xk, and the identity we have just established shows that T is isometric. Hence T extends to an isometry fromp to the closed linear span X of the xk’s. Finally, we have to define a projection P onto X. For each k let yk = x∗ k = |xk|p/q^ sign xk,
where q is the conjugate index. It is easy to check that yk ∈ Lq with ‖yk‖q = 1, that the sequence (yk) is disjoint and that 〈yk, xl〉 = δk,l. We note that, for any z ∈ `p ∑
k
|〈z, yk〉|p^ =
k
〈zk, yk〉p, where zk = zsign yk,
k
‖zk‖pp‖yk‖pq =
k
‖zk‖pp = ‖
k
zk‖pp ≤ ‖z‖pp,
by disjointness. Hence we may well-define P (z) =
k
〈yk, z〉xk
getting our required projection of norm 1.