Chapter 2

Functional Analysis

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Problem 2.1

Let MM be a subspace of a Hilbert space HH and fix λ∈M\lambda \in M. Show directly that there exists some Λ∈H\Lambda \in H such that ⟨x,Λ⟩=⟨x,λ⟩\left\langle x, \Lambda \right\rangle = \left\langle x, \lambda \right\rangle for all x∈Mx \in M and ∥Λ∥=∥λ∥\left\| \Lambda \right\| = \left\| \lambda \right\|.

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Problem 2.2

Suppose that MM is a closed subspace of a Hilbert space H,x0∈H\MH, x_{0} \in H \backslash M, and d=dist⁡(x0,M)d = \operatorname {dist}\left(x_{0}, M\right). Show directly that there exists a μ∈H\mu \in H such that ⟨x0,μ⟩=1,⟨x,μ⟩=0\left\langle x_{0}, \mu \right\rangle = 1, \left\langle x, \mu \right\rangle = 0 for all x∈Mx \in M, and ∥μ∥=1/d\left\| \mu \right\| = 1 / d.

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Problem 2.3

Let XX be a normed space.

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(a)

Show that if X∗X^{*} is separable then XX is separable.

(b)

Show that the converse can fail.

Problem 2.4

The Weierstrass Approximation Theorem implies that {xk}k≥0\left\{ x^{k}\right\}_{k \geq 0} is complete in C[0,1]C[0,1]. Show that {x2k}k≥0\left\{ x^{2 k}\right\}_{k \geq 0} is also complete in C[0,1]C[0,1].

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Problem 2.5

Given a subset AA of a normed space XX, define its orthogonal complement A⊥⊆X∗A^{\perp } \subseteq X^{*} by

A⊥={μ∈X∗:⟨x,μ⟩=0 for all x∈A} A^{\perp } = \left\{ \mu \in X^{*}: \left\langle x, \mu \right\rangle = 0 \text{ for all } x \in A\right\}

Prove that A⊥A^{\perp } is a closed subspace of X∗X^{*}, and explain how this relates to Corollary 2.5.

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Problem 2.6

Let SS be a subspace of a normed space XX, and show that its closure Sˉ\bar{S} is given by

Sˉ=⋂{ker⁡(μ):μ∈X∗ and S⊆ker⁡(μ)}. \bar{S} = \bigcap \left\{ \operatorname {ker}(\mu ): \mu \in X^{*} \text{ and } S \subseteq \operatorname {ker}(\mu )\right\} .
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Problem 2.7

Show that ℓp\ell^{p} is reflexive for each 1<p<∞1 < p < \infty.

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Problem 2.8

Let XX be a Banach space. Show that if XX is separable but X∗X^{*} is not, then XX is not reflexive. Use this to show that ℓ1\ell^{1} is a proper subspace of (ℓ∞)∗\left(\ell^{\infty }\right)^{*}.

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Problem 2.9

Let X,YX, Y be Banach spaces. Given T∈B(X,Y)T \in \mathcal{B}(X, Y), show that there is a unique operator T∗∈B(Y∗,X∗)T^{*} \in \mathcal{B}\left(Y^{*}, X^{*}\right) that satisfies equation (2.4).

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Problem 2.10

Let XX be a Banach space. Given μ∈X∗=B(X,F)\mu \in X^{*} = \mathcal{B}(X, \mathbf{F}), explicitly describe its adjoint μ∗\mu^{*}.

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Problem 2.11

Let MM be a closed subspace MM of a normed space XX, and fix L∈B(X)L \in \mathcal{B}(X). We say that MM is invariant under LL if L(M)⊆ML(M) \subseteq M. Show that if M⊆XM \subseteq X is invariant under LL, then M⊥M^{\perp } is invariant under L∗L^{*}, where M⊥M^{\perp } is the orthogonal complement defined in Exercise 2.5.

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Problem 2.12

Suppose that MM is a closed subspace of a Banach space XX. Let ϵ:M→X\epsilon : M \rightarrow X be the embedding map, i.e., ϵ(x)=x\epsilon (x) = x for x∈Mx \in M. Show that ϵ∗:X∗→M∗\epsilon^{*}: X^{*} \rightarrow M^{*} is the restriction map, i.e., if μ∈X∗\mu \in X^{*}, then ϵ∗μ=μ∣M\epsilon^{*} \mu = \left.\mu \right|_{M}.

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Problem 2.13

Let A:Cn→CmA: \mathbb {C}^{n} \rightarrow \mathbb {C}^{m} be a linear operator, which we identify with its m×nm \times n matrix representation. Show that the adjoint of AA in the Hilbert space sense (Definition 2.10) is the conjugate transpose matrix A∗=AT‾A^{*} = \overline{A^{\mathrm{T}}}, while the adjoint of AA in the Banach space sense (Definition 2.8) is the transpose matrix ATA^{\mathrm{T}}.

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Problem 2.14

Let L,RL, R be the left- and right-shift operators on ℓ2\ell^{2} defined in Exercise 1.64. Show that R=L∗R = L^{*}.

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Problem 2.15

Fix λ∈ℓ∞\lambda \in \ell^{\infty }, and let MλM_{\lambda } be the multiplication operator defined in Exercise 1.66. Find Mλ∗M_{\lambda }^{*}, and determine when MλM_{\lambda } is self-adjoint, positive, or positive definite.

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Problem 2.16

Prove Theorem 2.13.

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Remark.
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Theorem 2.13: Let H,K,LH, K, L be Hilbert spaces, and fix A∈B(H,K)A \in \mathcal{B}(H, K) and B∈B(K,L)B \in \mathcal{B}(K, L). (a) (A∗)∗=A(A^{*})^{*} = A. (b) (BA)∗=A∗B∗(B A)^{*} = A^{*} B^{*}. (c) ker⁡(A)=range⁡(A∗)⊥\ker (A) = \operatorname {range}(A^{*})^{\perp }. (d) ker⁡(A)⊥=range⁡(A∗)‾\ker (A)^{\perp } = \overline{\operatorname {range}(A^{*})}. (e) AA is injective if and only if range⁡(A∗)\operatorname {range}(A^{*}) is dense in HH. (f) ∥A∥=∥A∗∥=∥A∗A∥1/2=∥AA∗∥1/2\left\| A\right\| = \left\| A^{*}\right\| = \left\| A^{*} A\right\|^{1 / 2} = \left\| A A^{*}\right\|^{1 / 2}.

Problem 2.17

Let MM be a closed subspace of a Hilbert space HH, and let P∈B(H)P \in \mathcal{B}(H) be given. Show that PP is the orthogonal projection of HH onto MM if and only if P2=P,P∗=PP^{2} = P, P^{*} = P, and range (P)=M(P) = M.

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Problem 2.18

Let HH be a Hilbert space and suppose that A,B∈B(H)A, B \in \mathcal{B}(H) are self-adjoint.

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(a)

Show that ABAA B A and BABB A B are self-adjoint.

(b)

Show that ABA B is self-adjoint if and only if AB=BAA B = B A.

(c)

Exhibit self-adjoint operators A,BA, B that do not commute.

Problem 2.19

Let HH be a Hilbert space and let A∈B(H)A \in \mathcal{B}(H) be fixed.

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(a)

Show that if AA is self-adjoint then all eigenvalues of AA are real, and eigenvectors of AA corresponding to distinct eigenvalues are orthogonal.

(b)

Show that if AA is a positive operator then all eigenvalues of AA are real and nonnegative.

(c)

Show that if AA is a positive definite operator then all eigenvalues of AA are real and strictly positive.

Problem 2.20

Let H,KH, K be Hilbert spaces. Show that if A∈B(H,K)A \in \mathcal{B}(H, K), then A∗A∈B(H)A^{*} A \in \mathcal{B}(H) and AA∗∈B(K)A A^{*} \in \mathcal{B}(K) are positive operators.

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Problem 2.21

Let HH be a Hilbert space. Given A∈B(H)A \in \mathcal{B}(H),

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(a)

show that ker⁡(A)=ker⁡(A∗A)\operatorname {ker}(A) = \operatorname {ker}\left(A^{*} A\right).

(b)

show that range⁡(A∗A)‾=range⁡(A∗)‾\overline{\operatorname {range}\left(A^{*} A\right)} = \overline{\operatorname {range}\left(A^{*}\right)}.

Problem 2.22

Let H,KH, K be Hilbert spaces, and fix U∈B(H,K)U \in \mathcal{B}(H, K). Show that UU is unitary if and only if UU is a bijection and U−1=U∗U^{-1} = U^{*}.

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Problem 2.23

Fill in the details in the proof of Theorem 2.18.

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(a)

Show that ∥A∥≤1\left\| A\right\| \leq 1 when AA is self-adjoint with 0≤A≤I0 \leq A \leq I.

(b)

Show that for 0<t<∥A∥−10 < t < \left\| A\right\|^{-1}, tA≤It A \leq I; hence AA has a square root if and only if tAt A does.

(c)

Show by induction that Tn+1−TnT_{n+1}-T_{n} is a polynomial in B=I−AB = I-A with all nonnegative coefficients.

(d)

Show that ∥Tn∥≤1\left\| T_{n}\right\| \leq 1 for every nn, so that (⟨Tnx,x⟩)\left( \left\langle T_{n} x, x \right\rangle \right) is a bounded, increasing sequence.

(e)

Show that the limit operator TT (where Tx=lim⁡n→∞TnxT x = \lim_{n \rightarrow \infty } T_{n} x) is linear and bounded (hence positive).

Problem 2.24

Let AA be a positive operator on a Hilbert space HH.

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(a)

Show that ⟨Ax,x⟩=0\left\langle A x, x \right\rangle = 0 if and only if Ax=0A x = 0.

(b)

Show that the operator A1/2A^{1 / 2} constructed in Theorem 2.18 is unique, i.e., there is only one positive operator SS satisfying S2=AS^{2} = A.

Problem 2.25

Prove Lemma 2.20.

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Remark.
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Lemma 2.20: Let EE be a nonempty subset of a Banach space XX. Then EE is nowhere dense if and only if EE contains no nonempty open subsets.

Problem 2.26

Show that Cc(R)C_{c}(\mathbb {R}) is a meager subset of C0(R)C_{0}(\mathbb {R}).

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Problem 2.27

Suppose that ff is an infinitely differentiable function on R\mathbb {R} such that for each t∈Rt \in \mathbb {R} there exists some integer nt≥0n_{t} \geq 0 so that f(nt)(t)=0f^{\left(n_{t}\right)}(t) = 0. Prove that there exists some open interval (a,b)(a, b) and some polynomial pp such that f(t)=p(t)f(t) = p(t) for all t∈(a,b)t \in (a, b).

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Problem 2.28

Let DD be the subset of C[0,1]C[0,1] consisting of all functions f∈C[0,1]f \in C[0,1] that have a right-hand derivative at at least one point in [0,1][0,1]. Show that DD is meager in C[0,1]C[0,1], and conclude that there are functions in C[0,1]C[0,1] that are not differentiable at any point.

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Problem 2.29

Prove Theorem 2.23.

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Remark.
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Theorem 2.23 (Banach--Steinhaus Theorem): Let XX and YY be Banach spaces. If An∈B(X,Y)A_{n} \in \mathcal{B}(X, Y) for n∈Nn \in \mathbb {N} and Ax=lim⁡n→∞AnxA x = \lim_{n \rightarrow \infty } A_{n} x exists for each x∈Xx \in X, then A∈B(X,Y)A \in \mathcal{B}(X, Y) and ∥A∥≤sup⁡n∥An∥<∞\left\| A\right\| \leq \sup_{n}\left\| A_{n}\right\| < \infty.

Problem 2.30

Let {en}\left\{ e_{n}\right\} be an orthonormal basis for a Hilbert space HH, and let PNP_{N} be the orthogonal projection of HH onto span⁡{e1,…,eN}\operatorname {span}\left\{ e_{1}, \ldots , e_{N}\right\}. Show that PNx→xP_{N} x \rightarrow x for every x∈Hx \in H, but ∥I−PN∥↛0\left\| I-P_{N}\right\| \nrightarrow 0 as N→∞N \rightarrow \infty.

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Problem 2.31

Let X,YX, Y be Banach spaces. Suppose An∈B(X,Y)A_{n} \in \mathcal{B}(X, Y) for n∈Nn \in \mathbb {N} and Ax=lim⁡n→∞AnxA x = \lim_{n \rightarrow \infty } A_{n} x exists for each xx in a dense subspace SS of XX.

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(a)

Show that if sup⁡n∥An∥<∞\sup_{n}\left\| A_{n}\right\| < \infty then AA extends to a bounded map on XX, and Ax=lim⁡n→∞AnxA x = \lim_{n \rightarrow \infty } A_{n} x for all x∈Xx \in X.

(b)

Give an example that shows that the hypothesis sup⁡n∥An∥<∞\sup_{n}\left\| A_{n}\right\| < \infty in part (a) is necessary.

Problem 2.32

Prove Theorem 2.24 for the cases p=1p = 1 and p=∞p = \infty.

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Remark.
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Theorem 2.24: Fix 1≤p≤∞1 \leq p \leq \infty and any sequence of scalars y=(yk)y = \left(y_{k}\right). Then ∑xkyk\sum x_{k} y_{k} converges for all x∈ℓpx \in \ell^{p} if and only if y∈ℓp′y \in \ell^{p^{\prime }}. Furthermore, in this case Tyx=(xkyk)T_{y} x = \left(x_{k} y_{k}\right) defines a bounded linear map of ℓp\ell^{p} into ℓ1\ell^{1}, and

∑k∣xkyk∣=∥Tyx∥ℓ1≤∥x∥ℓp∥y∥ℓp′,x∈ℓp. \sum _{k}\left|x_{k} y_{k}\right| = \left\| T_{y} x\right\| _{\ell ^{1}} \leq \left\| x\right\| _{\ell ^{p}}\left\| y\right\| _{\ell ^{p^{\prime }}}, \quad x \in \ell ^{p}.

Here p′p^{\prime } is the dual index, 1p+1p′=1\frac{1}{p}+\frac{1}{p^{\prime }} = 1.

Problem 2.33
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(a)

Let XX be a Banach space. Show that S⊆X∗S \subseteq X^{*} is bounded if and only if sup⁡{∣⟨x,x∗⟩∣:x∗∈S}<∞\sup \left\{ \left| \left\langle x, x^{*} \right\rangle \right|: x^{*} \in S\right\} < \infty for each x∈Xx \in X.

(b)

Let XX be a normed linear space. Show that S⊆XS \subseteq X is bounded if and only if sup⁡{∣⟨x,x∗⟩∣:x∈S}<∞\sup \left\{ \left| \left\langle x, x^{*} \right\rangle \right|: x \in S\right\} < \infty for each x∗∈X∗x^{*} \in X^{*}.

Problem 2.34

Fix 1≤p,q≤∞1 \leq p, q \leq \infty. Let A=[aij]i,j∈NA = \left[a_{i j}\right]_{i, j \in \mathbb {N}} be an infinite matrix and set ai=(aij)j∈Na_{i} = \left(a_{i j}\right)_{j \in \mathbb {N}} for each i∈Ni \in \mathbb {N}. Suppose that

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(a)

(Ax)i=⟨x,ai⟩=∑jaijxj(A x)_{i} = \left\langle x, a_{i} \right\rangle = \sum_{j} a_{i j} x_{j} converges for each x∈ℓpx \in \ell^{p} and i∈Ni \in \mathbb {N}, and

(b)

Ax=((Ax)i)i∈N=(⟨x,ai⟩)i∈N∈ℓqA x = \left((A x)_{i}\right)_{i \in \mathbb {N}} = \left( \left\langle x, a_{i} \right\rangle \right)_{i \in \mathbb {N}} \in \ell^{q} for each x∈ℓpx \in \ell^{p}.

Identifying the matrix AA with the map x↦Axx \mapsto A x, prove that A∈B(ℓp,ℓq)A \in \mathcal{B}\left(\ell^{p}, \ell^{q}\right).

Problem 2.35

Let XX and YY be Banach spaces. Show that A∈B(X,Y)A \in \mathcal{B}(X, Y) is surjective if and only if range⁡(A)\operatorname {range}(A) is not meager in YY.

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Problem 2.36

Show that if T:X→YT: X \rightarrow Y is a topological isomorphism of a normed space XX onto a normed space YY, then a sequence {xn}\left\{ x_{n}\right\} is complete in XX if and only if {Txn}\left\{ T x_{n}\right\} is complete in YY.

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Problem 2.37

Let XX and YY be normed linear spaces. Show that if T:X→YT: X \rightarrow Y is a topological isomorphism, then ∥T−1∥−1∥x∥≤∥Tx∥≤∥T∥∥x∥\left\| T^{-1}\right\|^{-1}\left\| x\right\| \leq \left\| T x\right\| \leq \left\| T\right\| \left\| x\right\| for all x∈Xx \in X.

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Problem 2.38

Let XX be a Banach space and YY a normed linear space. Suppose that L:X→YL: X \rightarrow Y is bounded and linear. Prove that the following two statements are equivalent.

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(a)

There exists c>0c > 0 such that ∥Lx∥≥c∥x∥\left\| L x\right\| \geq c\left\| x\right\| for all x∈Xx \in X.

(b)

LL is injective and range⁡(L)\operatorname {range}(L) is closed.

Show further that, in case these hold, L:X→range⁡(L)L: X \rightarrow \operatorname {range}(L) is a topological isomorphism.

Problem 2.39

Given a sequence of scalars λ=(λk)\lambda = \left(\lambda_{k}\right), define a mapping TλT_{\lambda } on sequences x=(xk)x = \left(x_{k}\right) by Tλx=(λkxk)T_{\lambda } x = \left(\lambda_{k} x_{k}\right). Prove the following statements.

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(a)

TλT_{\lambda } is a bounded map of ℓ2\ell^{2} into itself if and only if λ∈ℓ∞\lambda \in \ell^{\infty }.

(b)

TλT_{\lambda } is a topological isomorphism of ℓ2\ell^{2} onto itself if and only if 0<inf⁡∣λk∣≤sup⁡∣λk∣<∞0 < \inf \left|\lambda_{k}\right| \leq \sup \left|\lambda_{k}\right| < \infty.

(c)

TλT_{\lambda } is an isometric isomorphism of ℓ2\ell^{2} onto itself if and only if ∣λk∣=1\left|\lambda_{k}\right| = 1 for every nn.

Problem 2.40

Let XX be a Banach space. Given T∈B(X)T \in \mathcal{B}(X), define T0=IT^{0} = I. Show that if ∥T∥<1\left\| T\right\| < 1, then I−TI-T is a topological isomorphism of XX onto itself and (I−T)−1=∑n=0∞Tn(I-T)^{-1} = \sum_{n = 0}^{\infty } T^{n}, where the series converges in operator norm (this is called a Neumann series for (I−T)−1(I-T)^{-1}).

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Problem 2.41

Show that if XX is a Banach space, YY is a normed linear space, and T:X→YT: X \rightarrow Y is a topological isomorphism, then YY is a Banach space.

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Problem 2.42

Prove Theorem 2.31.

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(a)

If T:X→YT: X \rightarrow Y is a topological isomorphism, then its adjoint T∗:Y∗→X∗T^{*}: Y^{*} \rightarrow X^{*} is a topological isomorphism.

(b)

If TT is an isometric isomorphism, then so is T∗T^{*}.

Problem 2.43

Show that the operator A†=B−1PA^{\dagger } = B^{-1} P defined in Theorem 2.33 satisfies statements (a)-(c) of that theorem.

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Remark.
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Theorem 2.33: Let HH and KK be Hilbert spaces. Assume that A∈B(H,K)A \in \mathcal{B}(H, K) has closed range, and let PP be the orthogonal projection of KK onto range⁡(A)\operatorname {range}(A). Then the mapping B:ker⁡(A)⊥→range⁡(A)B: \operatorname {ker}(A)^{\perp } \rightarrow \operatorname {range}(A) defined by Bx=AxB x = A x for x∈ker⁡(A)⊥x \in \operatorname {ker}(A)^{\perp } is a topological isomorphism, and A†=B−1P∈B(K,H)A^{\dagger } = B^{-1} P \in \mathcal{B}(K, H) satisfies the following:

  1. AA†y=yA A^{\dagger } y = y for every y∈range⁡(A)y \in \operatorname {range}(A),

  2. AA†A A^{\dagger } is the orthogonal projection of KK onto range⁡(A)\operatorname {range}(A), and

  3. A†AA^{\dagger } A is the orthogonal projection of HH onto range⁡(A∗)\operatorname {range}\left(A^{*}\right).

Problem 2.44

Assume that A∈B(H,K)A \in \mathcal{B}(H, K) has closed range, and let A†A^{\dagger } be its pseudoinverse. Prove the following statements.

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(a)

ker⁡(A†)=range⁡(A)⊥\operatorname {ker}\left(A^{\dagger }\right) = \operatorname {range}(A)^{\perp }.

(b)

range⁡(A†)=ker⁡(A)⊥\operatorname {range}\left(A^{\dagger }\right) = \operatorname {ker}(A)^{\perp }.

(c)

AA†y=yA A^{\dagger } y = y for all y∈range⁡(A)y \in \operatorname {range}(A).

(d)

A†A^{\dagger } is the unique operator in B(K,H)\mathcal{B}(K, H) that satisfies statements (a)-(c) above.

Problem 2.45

Let HH be a Hilbert space. Given a positive definite operator A∈B(H)A \in \mathcal{B}(H), prove the following statements.

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(a)

AA is injective and has dense range.

(b)

AA is a topological isomorphism of HH onto itself if and only if it is surjective. Show by example that a positive definite operator need not be a topological isomorphism.

(c)

If AA is a surjective positive definite operator, then (x,y)=⟨Ax,y⟩(x, y) = \left\langle A x, y \right\rangle defines an inner product that is equivalent to the original inner product ⟨⋅,⋅⟩\left\langle \cdot , \cdot \right\rangle on HH.

Problem 2.46

Prove the claim in Theorem 2.35 that ∣∣∣⋅∣∣∣|||\cdot ||| is a norm on XX and XX is complete with respect to this norm.

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Remark.
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Theorem 2.35 (Closed Graph Theorem): Let XX and YY be Banach spaces. If T:X→YT: X \rightarrow Y is linear, then the following statements are equivalent.

  1. TT is continuous.

  2. If xn→xx_{n} \rightarrow x in XX and Txn→yT x_{n} \rightarrow y in YY, then y=Txy = T x. In the proof of (b) ⇒\Rightarrow (a) one assumes that statement (b) holds and defines ∣∣∣x∣∣∣=∥x∥X+∥Tx∥Y|||x||| = \left\| x\right\|_{X}+\left\| T x\right\|_{Y}, x∈Xx \in X.

Problem 2.47

Use the Closed Graph Theorem to give another proof of Theorem 2.24.

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Problem 2.48

Use the Closed Graph Theorem to give another proof of Exercise 2.34.

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(a)

Using Theorem 2.24, show that ai∈ℓp′a_{i} \in \ell^{p^{\prime }} for each ii.

(b)

Using the Closed Graph Theorem, show that AA is a bounded map of ℓp\ell^{p} into ℓq\ell^{q}.

Problem 2.49

Let Cb(R)C_{b}(\mathbb {R}) and Cb1(R)C_{b}^{1}(\mathbb {R}) be as in Exercise 1.22, and assume that the norm on both of these spaces is the uniform norm. In this case Cb(R)C_{b}(\mathbb {R}) is complete, but Cb1(R)C_{b}^{1}(\mathbb {R}) is not. Show that the differentiation operator D:Cb1(R)→Cb(R)D: C_{b}^{1}(\mathbb {R}) \rightarrow C_{b}(\mathbb {R}) given by Df=f′D f = f^{\prime } is unbounded, but has a closed graph, i.e., if fn→ff_{n} \rightarrow f uniformly and fn′→gf_{n}^{\prime } \rightarrow g uniformly then f′=gf^{\prime } = g.

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Problem 2.50

Prove part (b) of Theorem 2.38.

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Problem 2.51

In this exercise we will denote the components of x∈ℓpx \in \ell^{p} by x=(x(k))x = (x(k)).

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(a)

Given 1<p<∞1 < p < \infty and xn,y∈ℓpx_{n}, y \in \ell^{p}, show that xn→wyx_{n} \xrightarrow {\mathrm{w}} y in ℓp\ell^{p} if and only if sup⁡∥xn∥ℓp<∞\sup \left\| x_{n}\right\|_{\ell^{p}} < \infty and xnx_{n} converges componentwise to yy, i.e., lim⁡n→∞xn(k)=y(k)\lim_{n \rightarrow \infty } x_{n}(k) = y(k) for each k∈Nk \in \mathbb {N}. Does either implication remain valid if p=1p = 1?

(b)

Given 1≤p≤∞1 \leq p \leq \infty and xn,y∈ℓpx_{n}, y \in \ell^{p}, show that xn→w∗yx_{n} \xrightarrow {\mathrm{w}^{*}} y in ℓp\ell^{p} if and only if xnx_{n} converges componentwise to yy and sup⁡∥xn∥ℓp<∞\sup \left\| x_{n}\right\|_{\ell^{p}} < \infty (recall that ℓ1≅c0∗\ell^{1} \cong c_{0}{ }^{*} and ℓp′≅(ℓp)∗\ell^{p^{\prime }} \cong \left(\ell^{p}\right)^{*} for 1≤p<∞1 \leq p < \infty.

Problem 2.52

Show that if {xn}\left\{ x_{n}\right\} is an orthonormal sequence in a Hilbert space HH, then xn→w0x_{n} \xrightarrow {\mathrm{w}} 0.

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