Part 3.I

General Theory

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Problem 3.1.1

Suppose XX is a vector space. All sets mentioned below are understood to be subsets of XX. Prove the following statements from the axioms as given in Section 1.4. (Some of these are tacitly used in the text).

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(a)

If x∈Xx \in X and y∈Xy \in X there is a unique z∈Xz \in X such that x+z=yx+z = y.

(b)

0x=0=α00 x = 0 = \alpha 0 if x∈Xx \in X and α\alpha is a scalar.

(c)

2A⊂A+A2 A \subset A+A; it may happen that 2A≠A+A2 A \neq A+A.

(d)

AA is convex if and only if (s+t)A=sA+tA(s+t) A = s A+t A for all positive scalars ss and tt.

(e)

Every union (and intersection) of balanced sets is balanced.

(f)

Every intersection of convex sets is convex.

(g)

If Γ\Gamma is a collection of convex sets that is totally ordered by set inclusion, then the union of all members of Γ\Gamma is convex.

(h)

If AA and BB are convex, so is A+BA+B.

(i)

if AA and BB are balanced, so is A+BA+B.

(j)

Show that parts (f),(g)(f),(g), and (h) hold with subspaces in place of convex sets.

Problem 3.1.2

The convex hull of a set AA in a vector space XX is the set of all convex combinations of members of AA, that is, the set of all sums

t1x1+⋯+tnxn t_{1} x_{1}+\cdots +t_{n} x_{n}

in which xi∈A,ti≥0,∑ti=1;nx_{i} \in A, t_{i} \geq 0, \sum t_{i} = 1 ; n is arbitrary. Prove that the convex hull of AA is convex and that it is the intersection of all convex sets that contain AA.

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Problem 3.1.3

Let XX be a topological vector space. All sets mentioned below are understood to be the subsets of XX. Prove the following statements.

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(a)

The convex hull of every open set is open.

(b)

If XX is locally convex then the convex hull of every bounded set is bounded. (This is false without local convexity; see Section 1.47).

(c)

If AA and BB are bounded, so is A+BA+B.

(d)

If AA and BB are compact, so is A+BA+B.

(e)

If AA is compact and BB is closed, then A+BA+B is closed.

(f)

The sum of two closed sets may fail to be closed.

Remark.
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In part (f): Theorem 1.13(b) states that if A⊂XA \subset X and B⊂XB \subset X, then A‾+B‾⊂A+B‾\overline{A}+\overline{B} \subset \overline{A+B}; part (f) shows that this inclusion may therefore be strict.

Problem 3.1.4

Let B={(z1,z2)∈C2:∣z1∣≤∣z2∣}B = \left\{ \left(z_{1}, z_{2}\right) \in \mathbb {C}^{2}:\left|z_{1}\right| \leq \left|z_{2}\right|\right\}. Show that BB is balanced but that its interior is not.

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Problem 3.1.5

Consider the definition of "bounded set" given in Section 1.6. Would the content of this definition be altered if it were required merely that to every neighborhood VV of 0 corresponds some t>0t > 0 such that E⊂tVE \subset t V?

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Problem 3.1.6

Prove that a set EE in a topological vector space is bounded if and only if every countable subset of EE is bounded.

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Problem 3.1.7

Let XX be the vector space of all complex functions on the unit interval [0,1][0,1], topologized by the family of seminorms

px(f)=∣f(x)∣(0≤x≤1) p_{x}(f) = \left|f(x)\right| \quad (0 \leq x \leq 1)

This topology is called the topology of pointwise convergence. Justify this terminology.

Show that there is a sequence {fn}\left\{ f_{n}\right\} in XX such that

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(a)

{fn}\left\{ f_{n}\right\} converges to 0 as n→∞n \rightarrow \infty, but

(b)

if {γn}\left\{ \gamma_{n}\right\} is any sequence of scalars such that γn→∞\gamma_{n} \rightarrow \infty then {γnfn}\left\{ \gamma_{n} f_{n}\right\} does not converge to 0.

(Use the fact that the collection of all complex sequences converging to 0 has the same cardinality as [0,1][0,1]).

This shows that metrizability cannot be omitted in (b) of Theorem 1.28.

Problem 3.1.8
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(a)

Suppose P\mathscr {P} is a separating family of seminorms on a vector space XX. Let Q\mathscr {Q} be the smallest family of seminorms on XX that contains P\mathscr {P} and is closed under max. (This means: if p1∈Q,p2∈Qp_{1} \in \mathscr {Q}, p_{2} \in \mathscr {Q}, and p=max⁡(p1,p2)p = \max \left(p_{1}, p_{2}\right), then p∈Qp \in \mathscr {Q}.) If the construction of Theorem 1.37 is applied to P\mathscr {P} and to Q\mathscr {Q}, show that the two resulting topologies coincide. The main difference is that Q\mathscr {Q} leads directly to a base, rather than to a subbase. (See Remark (a) of Section 1.38).

(b)

Suppose Q\mathscr {Q} is as in part (a) and Λ\Lambda is a linear functional on XX. Show that Λ\Lambda is continuous if and only if there exists a p∈Qp \in \mathscr {Q} such that ∣Λx∣≤Mp(x)\left|\Lambda x\right| \leq M p(x) for all x∈Xx \in X and some constant M<∞M < \infty.

Problem 3.1.9

Suppose

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(a)

XX and YY are topological vector spaces,

(b)

Λ:X→Y\Lambda : X \rightarrow Y is linear,

(c)

NN is a closed subspace of XX,

(d)

π:X→X/N\pi : X \rightarrow X / N is the quotient map, and

(e)

Λx=0\Lambda x = 0 for every x∈Nx \in N.

Prove that there is a unique f:X/N→Yf: X / N \rightarrow Y which satisfies Λ=f⋅π\Lambda = f \cdot \pi, that is, Λx=f(π(x))\Lambda x = f(\pi (x)) for all x∈Xx \in X. Prove that this ff is linear and that Λ\Lambda is continuous if and only if ff is continuous. Also, Λ\Lambda is open if and only if ff is open.

Problem 3.1.10

Suppose XX and YY are topological vector spaces, dim⁡Y<∞,Λ:X→Y\operatorname {dim} Y < \infty , \Lambda : X \rightarrow Y is linear, and Λ(X)=Y\Lambda (X) = Y.

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(a)

Prove that Λ\Lambda is an open mapping.

(b)

Assume, in addition, that the null space of Λ\Lambda is closed, and prove that Λ\Lambda is then continuous.

Problem 3.1.11

If NN is a subspace of a vector space XX, the codimension of NN in XX is, by definition, the dimension of the quotient space X/NX / N.

Suppose 0<p<10 < p < 1 and prove that every subspace of finite codimension is dense in LpL^{p}. (See Section 1.47).

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Problem 3.1.12

Suppose d1(x,y)=∣x−y∣,d2(x,y)=∣ϕ(x)−ϕ(y)∣d_{1}(x, y) = \left|x-y\right|, d_{2}(x, y) = \left|\phi (x)-\phi (y)\right|, where ϕ(x)=x/(1+∣x∣)\phi (x) = x /(1+\left|x\right|). Prove that d1d_{1} and d2d_{2} are metrics on R\mathbb {R} which induce the same topology, although d1d_{1} is complete and d2d_{2} is not.

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Problem 3.1.13

Let CC be the vector space of all complex continuous functions on [0,1]. Define

d(f,g)=∫01∣f(x)−g(x)∣1+∣f(x)−g(x)∣dx d(f, g) = \int _{0}^{1} \frac{\left|f(x)-g(x)\right|}{1+\left|f(x)-g(x)\right|} d x

Let (C,σ)(C, \sigma ) be CC with the topology induced by this metric. Let (C,τ)(C, \tau ) be the topological vector space defined by the seminorms

px(f)=∣f(x)∣(0≤x≤1) p_{x}(f) = \left|f(x)\right| \quad (0 \leq x \leq 1)

in accordance with Theorem 1.37.

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(a)

Prove that every τ\tau-bounded set in CC is also σ\sigma-bounded and that the identity map id: (C,τ)→(C,σ)(C, \tau ) \rightarrow (C, \sigma ) therefore carries bounded sets into bounded sets.

(b)

Prove that id: (C,τ)→(C,σ)(C, \tau ) \rightarrow (C, \sigma ) is nevertheless not continuous, although it is sequentially continuous (by Lebesgue's dominated convergence theorem).

Hence (C,τ)(C, \tau ) is not metrizable. (See Appendix A6, or Theorem 1.32). Show also directly that (C,τ)(C, \tau ) has no countable local base.

(c)

Prove that every continuous linear functional on (C,τ)(C, \tau ) is of the form

f→∑i=1ncif(xi) f \rightarrow \sum _{i = 1}^{n} c_{i} f\left(x_{i}\right)

for some choice of x1,…,xnx_1, \ldots , x_n in [0,1][0,1] and some ci∈Cc_i \in C.

(d)

Prove that (C,σ)(C, \sigma ) contains no convex open sets other than ∅\varnothing and CC.

(e)

Prove that id: (C,σ)→(C,τ)(C, \sigma ) \rightarrow (C, \tau ) is not continuous.

Problem 3.1.14

Put K=[0,1]K = [0,1] and define DK\mathscr {D}_{K} as in Section 1.46. Show that the following three families of seminorms (where n=0,1,2,…n = 0,1,2, \ldots) define the same topology on DK\mathscr {D}_{K}, if D=d/dxD = d / d x :

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(a)

∥Dnf∥∞=sup⁡{∣Dnf(x)∣:−∞<x<∞}\left\| D^{n} f\right\|_{\infty } = \sup \left\{ \left|D^{n} f(x)\right|:-\infty < x < \infty \right\}.

(b)

∥Dnf∥1=∫01∣Dnf(x)∣dx\left\| D^{n} f\right\|_{1} = \int_{0}^{1}\left|D^{n} f(x)\right| d x.

(c)

∥Dnf∥2={∫01∣Dnf(x)∣2dx}1/2\left\| D^{n} f\right\|_{2} = \left\{ \int_{0}^{1}\left|D^{n} f(x)\right|^{2} d x\right\}^{1 / 2}.

Problem 3.1.15

Prove that the spaces C(Ω)C(\Omega ) (Section 1.44) do not have the Heine-Borel property.

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Problem 3.1.16

Prove that the topology of C(Ω)C(\Omega ) does not depend on the particular choice of {Kn}\left\{ K_{n}\right\}, as long as this sequence satisfies the conditions specified in Section 1.44. Do the same for C∞(Ω)C^{\infty }(\Omega ) (Section 1.46).

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Problem 3.1.17

In the setting of Section 1.46, prove that f→Dαff \rightarrow D^{\alpha } f is a continuous mapping of C∞(Ω)C^{\infty }(\Omega ) into C∞(Ω)C^{\infty }(\Omega ) and also of DK\mathscr {D}_{K} into DK\mathscr {D}_{K}, for every multi-index α\alpha.

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Problem 3.1.18

Prove the proposition concerning addition in the binary system which was used at the end of the proof of Theorem 1.24.

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Problem 3.1.19

Suppose MM is a dense subspace of a topological vector space X,YX, Y is an FF-space, and Λ:M→Y\Lambda : M \rightarrow Y is continuous (relative to the topology that MM inherits from XX) and linear. Prove that Λ\Lambda has a continuous linear extension Λ‾:X→Y\overline{\Lambda }: X \rightarrow Y.

Suggestion: Let VnV_{n} be balanced neighborhoods of 0 in XX such that Vn+Vn⊂Vn−1V_{n}+V_{n} \subset V_{n-1} and such that d(0,Λx)<2−nd(0, \Lambda x) < 2^{-n} if x∈M∩Vnx \in M \cap V_{n}. If x∈Xx \in X and xn∈(x+Vn)∩Mx_{n} \in \left(x+V_{n}\right) \cap M, show that {Λxn}\left\{ \Lambda x_{n}\right\} is a Cauchy sequence in YY, and define Λ‾x\overline{\Lambda } x to be its limit. Show that Λ‾\overline{\Lambda } is well defined, that Λ‾x=Λx\overline{\Lambda } x = \Lambda x if x∈Mx \in M, and that Λ‾\overline{\Lambda } is linear and continuous.

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Problem 3.1.20

For each real number tt and each integer nn, define en(t)=einte_{n}(t) = e^{i n t}, and define

fn=e−n+nen(n=1,2,3,…) f_{n} = e_{-n}+n e_{n} \quad (n = 1,2,3, \ldots )

Regard these functions as members of L2(−π,π)L^{2}(-\pi , \pi ). Let X1X_{1} be the smallest closed subspace of L2L^{2} that contains e0,e1,e2,…e_{0}, e_{1}, e_{2}, \ldots, and let X2X_{2} be the smallest closed subspace of L2L^{2} that contains f1,f2,f3,…f_{1}, f_{2}, f_{3}, \ldots Show that X1+X2X_{1}+X_{2} is dense in L2L^{2} but not closed. For instance, the vector

x=∑n=1∞n−1e−n x = \sum _{n = 1}^{\infty } n^{-1} e_{-n}

is in L2L^{2} but not in X1+X2X_{1}+X_{2}. (Compare with Theorem 1.42).

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Problem 3.1.21

Let VV be a neighborhood of 0 in a topological vector space XX. Prove that there is a real continuous function ff on XX such that f(0)=0f(0) = 0 and f(x)=1f(x) = 1 outside VV. (Thus XX is a completely regular topological space). Suggestion: Let VnV_{n} be balanced neighborhoods of 0 such that V1+V1⊂VV_{1}+V_{1} \subset V and Vn+1+Vn+1⊊VnV_{n+1}+V_{n+1} \subsetneq V_{n}. Construct ff as in the proof of Theorem 1.24. Show that ff is continuous at 0 and that

∣f(x)−f(y)∣≤f(x−y) \left|f(x)-f(y)\right| \leq f(x-y)
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Problem 3.1.22

If ff is a complex function defined on the compact interval I=[0,1]⊂RI = [0,1] \subset R, define

ωδ(f)=sup⁡{∣f(x)−f(y)∣:∣x−y∣≤δ,x∈I,y∈I} \omega _{\delta }(f) = \sup \left\{ \left|f(x)-f(y)\right|:\left|x-y\right| \leq \delta , x \in I, y \in I\right\}

If 0<α≤10 < \alpha \leq 1, the corresponding Lipschitz space Lip α\alpha consists of all ff for which

∥f∥=∣f(0)∣+sup⁡{δ−αωδ(f):δ>0} \left\| f\right\| = \left|f(0)\right|+\sup \left\{ \delta ^{-\alpha } \omega _{\delta }(f): \delta > 0\right\}

is finite. Define

lip⁡α={f∈Lip⁡α:lim⁡δ→0δ−αωδ(f)=0} \operatorname {lip} \alpha = \left\{ f \in \operatorname {Lip} \alpha : \lim _{\delta \rightarrow 0} \delta ^{-\alpha } \omega _{\delta }(f) = 0\right\}

Prove that Lip⁡α\operatorname {Lip} \alpha is a Banach space and that lip⁡α\operatorname {lip} \alpha is a closed subspace of Lip⁡α\operatorname {Lip} \alpha.

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Problem 3.1.23

Let XX be the vector space of all continuous functions on the open segment (0,1)(0,1). For f∈Xf \in X and r>0r > 0, let V(f,r)V(f, r) consist of all g∈Xg \in X such that ∣g(x)−f(x)∣<r\left|g(x)-f(x)\right| < r for all x∈(0,1)x \in (0,1). Let τ\tau be the topology on XX that these sets V(f,r)V(f, r) generate. Show that addition is τ\tau-continuous but scalar multiplication is not.

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Problem 3.1.24

Show that the set WW that occurs in the proof of Theorem 1.14 need not be convex, and that AA need not be balanced unless UU is convex.

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Problem 3.2.1

If XX is an infinite-dimensional topological vector space which is the union of countably many finite-dimensional subspaces, prove that XX is of the first category in itself. Prove that therefore no infinite-dimensional FF-space has a countable Hamel basis. (A set β\beta is a Hamel basis for a vector space XX if β\beta is a maximal linearly independent subset of XX. Alternatively, β\beta is a Hamel basis if every x∈Xx \in X has a unique representation as a finite linear combination of elements of β\beta).

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Problem 3.2.2

Sets of first and second category are "small" and "large" in a topological sense. These notions are different when "small" and "large" are understood in the sense of measure, even when the measure is intimately related to the topology. To see this, construct a subset of the unit interval which is of the first category but whose Lebesgue measure is 1.

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Problem 3.2.3

Put K=[−1,1]K = [-1,1]; define DK\mathscr {D}_{K} as in Section 1.46 (with R\mathbb {R} in place of Rn\mathbb {R}^{n}). Suppose {fn}\left\{ f_{n}\right\} is a sequence of Lebesgue integrable functions such that

Λϕ=lim⁡n→∞∫−11fn(t)ϕ(t)dt \Lambda \phi = \lim _{n \rightarrow \infty } \int _{-1}^{1} f_{n}(t) \phi (t) d t

exists for every ϕ∈DK\phi \in \mathscr {D}_{K}. Show that Λ\Lambda is a continuous linear functional on DK\mathscr {D}_{K}. Show that there is a positive integer pp and a number M<∞M < \infty such that

∣∫−11fn(t)ϕ(t)dt∣≤M∥Dpϕ∥∞ \left|\int _{-1}^{1} f_{n}(t) \phi (t) d t\right| \leq M\left\| D^{p} \phi \right\| _{\infty }

for all nn. For example, if fn(t)=n3tf_{n}(t) = n^{3} t on [−1/n,1/n][-1 / n, 1 / n] and 0 elsewhere, show that this can be done with p=1p = 1. Construct an example where it can be done with p=2p = 2 but not with p=1p = 1.

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Problem 3.2.4

Let L1L^{1} and L2L^{2} be the usual Lebesgue spaces on the unit interval. Prove that L2L^{2} is of the first category in L1L^{1}, in three ways:

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(a)

Show that {f:∫∣f∣2≤n}\left\{ f: \int \left|f\right|^{2} \leq n\right\} is closed in L1L^{1} but has empty interior.

(b)

Put gn=ng_{n} = n on [0,n−3]\left[0, n^{-3}\right], and show that

∫fgn→0 \int f g_{n} \rightarrow 0

for every f∈L2f \in L^{2} but not for every f∈L1f \in L^{1}.

(c)

Note that the inclusion map of L2L^{2} into L1L^{1} is continuous but not onto.

Do the same for LpL^{p} and LqL^{q} if p<qp < q.

Problem 3.2.5

Prove results analogous to those of Exercise 4 for the spaces ℓp\ell^{p}, where ℓp\ell^{p} is the Banach space of all complex functions xx on {0,1,2,…}\left\{ 0,1,2, \ldots \right\} whose norm

∥x∥p={∑n=0∞∣x(n)∣p}1/p \left\| x\right\| _{p} = \left\{ \sum _{n = 0}^{\infty }\left|x(n)\right|^{p}\right\} ^{1 / p}

is finite.

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Problem 3.2.6

Define the Fourier coefficients f^(n)\hat{f}(n) of a function f∈L2(T)(Tf \in L^{2}(T)(T is the unit circle) by

f^(n)=12π∫−ππf(eiθ)e−inθdθ \hat{f}(n) = \frac{1}{2 \pi } \int _{-\pi }^{\pi } f\left(e^{i \theta }\right) e^{-i n \theta } d \theta

for all n∈Zn \in Z (the integers). Put

Λnf=∑k=−nnf^(k) \Lambda _{n} f = \sum _{k = -n}^{n} \hat{f}(k)

Prove that {f∈L2(T):lim⁡n→∞Λnf exists }\left\{ f \in L^{2}(T): \lim_{n \rightarrow \infty } \Lambda_{n} f \text{ exists }\right\} is a dense subspace of L2(T)L^{2}(T) of the first category.

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Problem 3.2.7

Let C(T)C(T) be the set of all continuous complex functions on the unit circle TT. Suppose {γn}(n∈Z)\left\{ \gamma_{n}\right\} (n \in Z) is a complex sequence that associates to each f∈C(T)f \in C(T) a function Λf∈C(T)\Lambda f \in C(T) whose Fourier coefficients are

(Λf)∧(n)=γnf^(n)(n∈Z) (\Lambda f)^{\wedge }(n) = \gamma _{n} \hat{f}(n) \quad (n \in Z)

(The notation is as in Exercise 6). Prove that {γn}\left\{ \gamma_{n}\right\} has this multiplier property if and only if there is a complex Borel measure μ\mu on TT such that

γn=∫e−inθdμ(θ)(n∈Z) \gamma _{n} = \int e^{-i n \theta } d \mu (\theta ) \quad (n \in Z)

Suggestion: With the supremum norm, C(T)C(T) is a Banach space. Apply the closed graph theorem. Then consider the functional

f→(Λf)(1)=∑−∞∞γnf^(n) f \rightarrow (\Lambda f)(1) = \sum _{-\infty }^{\infty } \gamma _{n} \hat{f}(n)

and apply the Riesz representation theorem ([23], Th. 6.19). (The above series may not converge; use it only for trigonometric polynomials).

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Problem 3.2.8

Define functionals Λm\Lambda_{m} on ℓ2\ell^{2} (see Exercise 5) by

Λmx=∑n=1mn2x(n)(m=1,2,3,…) \Lambda _{m} x = \sum _{n = 1}^{m} n^{2} x(n) \quad (m = 1,2,3, \ldots )

Define xn∈ℓ2x_{n} \in \ell^{2} by xn(n)=1/n,xn(i)=0x_{n}(n) = 1 / n, x_{n}(i) = 0 if i≠ni \neq n. Let K⊂ℓ2K \subset \ell^{2} consist of 0,x1,x20, x_{1}, x_{2}, x3,…x_{3}, \ldots Prove that KK is compact. Compute Λmxn\Lambda_{m} x_{n}. Show that {Λmx}\left\{ \Lambda_{m} x\right\} is bounded for each x∈Kx \in K but {Λmxm}\left\{ \Lambda_{m} x_{m}\right\} is not. Convexity can therefore not be omitted from the hypotheses of Theorem 2.9.

Choose cn>0c_{n} > 0 so that ∑cn=1,∑ncn=∞\sum c_{n} = 1, \sum n c_{n} = \infty. Take x=∑cnxnx = \sum c_{n} x_{n}. Show that xx lies in the closed convex hull of KK (by definition, this is the closure of the convex hull) and that {Λmx}\left\{ \Lambda_{m} x\right\} is not bounded.

Show that the convex hull of KK is not closed.

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Problem 3.2.9

Suppose X,Y,ZX, Y, Z are Banach spaces and

B:X×Y→Z B: X \times Y \rightarrow Z

is bilinear and continuous. Prove that there exists M<∞M < \infty such that

∥B(x,y)∥≤M∥x∥∥y∥(x∈X,y∈Y) \left\| B(x, y)\right\| \leq M\left\| x\right\| \left\| y\right\| \quad (x \in X, y \in Y)

Is completeness needed here?

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Problem 3.2.10

Prove that a bilinear mapping is continuous if it is continuous at the origin (0,0)(0,0).

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Problem 3.2.11

Define B(x1,x2;y)=(x1y,x2y)B\left(x_{1}, x_{2} ; y\right) = \left(x_{1} y, x_{2} y\right). Show that BB is a bilinear continuous mapping of R2×R\mathbb {R}^{2} \times R onto R2\mathbb {R}^{2} which is not open at (1,1;0)(1,1 ; 0). Find all points where this BB is open.

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Problem 3.2.12

Let XX be the normed space of all real polynomials in one variable, with

∥f∥=∫01∣f(t)∣dt \left\| f\right\| = \int _{0}^{1}\left|f(t)\right| d t

Put B(f,g)=∫01f(t)g(t)dtB(f, g) = \int_{0}^{1} f(t) g(t) d t, and show that BB is a bilinear functional on X×XX \times X which is separately continuous but is not continuous.

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Problem 3.2.13

Suppose XX is a topological vector space which is of the second category in itself. Let KK be a closed, convex, absorbing subset of XX. Prove that KK contains a neighborhood of 0. Suggestion: Show first that H=K∩(−K)H = K \cap (-K) is absorbing. By a category argument, HH has interior. Then use

2H=H+H=H−H 2 H = H+H = H-H

Show that the result is false without convexity of KK, even if X=R2X = \mathbb {R}^{2}. Show that the result is false if XX is L2L^{2} topologized by the L1L^{1}-norm (as in Exercise 4).

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Problem 3.2.14
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(a)

Suppose XX and YY are topological vector spaces, {Λn}\left\{ \Lambda_{n}\right\} is an equicontinuous sequence of linear mappings of XX into YY, and CC is the set of all xx at which {Λn(x)}\left\{ \Lambda_{n}(x)\right\} is a Cauchy sequence in YY. Prove that CC is a closed subspace of XX.

(b)

Assume, in addition to the hypotheses of (a), that YY is an FF-space and that {Λn(x)}\left\{ \Lambda_{n}(x)\right\} converges in some dense subset of XX. Prove that then

Λ(x)=lim⁡n→∞Λn(x) \Lambda (x) = \lim _{n \rightarrow \infty } \Lambda _{n}(x)

exists for every x∈Xx \in X and that Λ\Lambda is continuous.

Problem 3.2.15

Suppose XX is an FF-space and YY is a subspace of XX whose complement is of the first category. Prove that Y=XY = X. Hint: YY must intersect x+Yx+Y for every x∈Xx \in X.

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Problem 3.2.16

Suppose that XX and KK are metric spaces, that KK is compact, and that the graph of f:X→Kf: X \rightarrow K is a closed subset of X×KX \times K. Prove that ff is continuous. (This is an analogue of Theorem 2.15 but is much easier). Show that compactness of KK cannot be omitted from the hypotheses, even when XX is compact.

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Problem 3.3.1

Call a set H⊂RnH \subset \mathbb {R}^{n} a hyperplane if there exist real numbers a1,…,an,ca_{1}, \ldots , a_{n}, c (with ai≠0a_{i} \neq 0 for at least one ii) such that HH consists of all points x=(x1,…,xn)x = \left(x_{1}, \ldots , x_{n}\right) that satisfy ∑aixi=c\sum a_{i} x_{i} = c.

Suppose EE is a convex set in Rn\mathbb {R}^{n}, with nonempty interior, and yy is a boundary point of EE. Prove that there is a hyperplane HH such that y∈Hy \in H and EE lies entirely on one side of HH. (State the conclusion more precisely). Suggestion: Suppose 0 is an interior point of EE, let MM be the one-dimensional subspace that contains yy, and apply Theorem 3.2.

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Problem 3.3.2

Suppose L2=L2([−1,1])L^{2} = L^{2}([-1,1]), with respect to Lebesgue measure. For each scalar α\alpha, let EαE_{\alpha } be the set of all continuous functions ff on [−1,1][-1,1] such that f(0)=αf(0) = \alpha. Show that each EαE_{\alpha } is convex and that each is dense in L2L^{2}. Thus EαE_{\alpha } and EβE_{\beta } are disjoint convex sets (if α≠β\alpha \neq \beta) which cannot be separated by any continuous linear functional Λ\Lambda on L2L^{2}. Hint: What is Λ(Eα)\Lambda \left(E_{\alpha }\right)?

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Problem 3.3.3

Suppose XX is a real vector space (without topology). Call a point x0∈A⊂Xx_{0} \in A \subset X an internal point of AA if A−x0A-x_{0} is an absorbing set.

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(a)

Suppose AA and BB are disjoint convex sets in XX, and AA has an internal point. Prove that there is a nonconstant linear functional Λ\Lambda on XX such that Λ(A)∩Λ(B)\Lambda (A) \cap \Lambda (B) contains at most one point. (The proof is similar to that of Theorem 3.4).

(b)

Show (with X=R2X = \mathbb {R}^{2}, for example) that it may not be possible to have Λ(A)\Lambda (A) and Λ(B)\Lambda (B) disjoint, under the hypotheses of (a)(a).

Problem 3.3.4

Let ℓ∞\ell^{\infty } be the space of all real bounded functions xx on the positive integers. Let τ\tau be the translation operator defined on ℓ∞\ell^{\infty } by the equation

(τx)(n)=x(n+1)(n=1,2,3,…) (\tau x)(n) = x(n+1) \quad (n = 1,2,3, \ldots )

Prove that there exists a linear functional Λ\Lambda on ℓ∞\ell^{\infty } (called a Banach limit) such that

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(a)

Λτx=Λx\Lambda \tau x = \Lambda x, and

(b)

lim⁡inf⁡n→∞x(n)≤Λx≤lim⁡sup⁡n→∞x(n)\underset {n \rightarrow \infty }{\lim \inf } x(n) \leq \Lambda x \leq \underset {n \rightarrow \infty }{\lim \sup } x(n) for every x∈ℓ∞x \in \ell^{\infty }.

Suggestion: Define

Λnx=x(1)+⋯+x(n)nM={x∈ℓ∞:lim⁡n→∞Λnx=Λx exists }p(x)=lim sup⁡n→∞Λnx \begin{aligned} \Lambda _{n} x & = \frac{x(1)+\cdots +x(n)}{n} \\ M & = \left\{ x \in \ell ^{\infty }: \lim _{n \rightarrow \infty } \Lambda _{n} x = \Lambda x \text{ exists }\right\} \\ p(x) & = \limsup _{n \rightarrow \infty } \Lambda _{n} x \end{aligned}

and apply Theorem 3.2.

Problem 3.3.5

For 0<p<∞0 < p < \infty, let ℓp\ell^{p} be the space of all functions xx (real or complex, as the case may be) on the positive integers, such that

∑n=1∞∣x(n)∣p<∞ \sum _{n = 1}^{\infty }\left|x(n)\right|^{p} < \infty

For 1≤p<∞1 \leq p < \infty, define ∥x∥p={∑∣x(n)∣p}1/p\left\| x\right\|_{p} = \left\{ \sum \left|x(n)\right|^{p}\right\}^{1 / p}, and define ∥x∥∞=sup⁡n∣x(n)∣\left\| x\right\|_{\infty } = \sup_{n}\left|x(n)\right|.

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(a)

Assume 1≤p<∞1 \leq p < \infty. Prove that ∥x∥p\left\| x\right\|_{p} and ∥x∥∞\left\| x\right\|_{\infty } make ℓp\ell^{p} and ℓ∞\ell^{\infty } into Banach spaces. If p−1+q−1=1p^{-1}+q^{-1} = 1, prove that (ℓp)∗=ℓq\left(\ell^{p}\right)^{*} = \ell^{q}, in the following sense: There is a one-to-one correspondence Λ↔y\Lambda \leftrightarrow y between (ℓp)∗\left(\ell^{p}\right)^{*} and ℓq\ell^{q}, given by

Λx=∑x(n)y(n)(x∈ℓp) \Lambda x = \sum x(n) y(n) \quad \left(x \in \ell ^{p}\right)
(b)

Assume 1<p<∞1 < p < \infty and prove that ℓp\ell^{p} contains sequences that converge weakly but not strongly.

(c)

On the other hand, prove that every weakly convergent sequence in ℓ1\ell^{1} converges strongly, in spite of the fact that the weak topology of ℓ1\ell^{1} is different from its strong topology (which is induced by the norm).

(d)

If 0<p<10 < p < 1, prove that ℓp\ell^{p}, metrized by

d(x,y)=∑n=1∞∣x(n)−y(n)∣p d(x, y) = \sum _{n = 1}^{\infty }\left|x(n)-y(n)\right|^{p}

is a locally bounded FF-space which is not locally convex but that (ℓP)∗\left(\ell^{P}\right)^{*} nevertheless separates points on ℓp\ell^{p}. (Thus there are many convex open sets in ℓp\ell^{p} but not enough to form a base for its topology). Show that (ℓp)∗=ℓ∞\left(\ell^{p}\right)^{*} = \ell^{\infty }, in the same sense as in (a). Show also that the set of all xx with Σ∣x(n)∣<1\Sigma \left|x(n)\right| < 1 is weakly bounded but not originally bounded.

(e)

For 0<p≤10 < p \leq 1, let τp\tau_{p} be the weak*-topology induced on ℓ∞\ell^{\infty } by ℓp\ell^{p}; see (a) and (d). If 0<p<r≤10 < p < r \leq 1, show that τp\tau_{p} and τr\tau_{r} are different topologies (is one weaker than the other?) but that they induce the same topology on each norm-bounded subset of ℓ∞\ell^{\infty }. Hint: The norm-closed unit ball of ℓ∞\ell^{\infty } is weak*-compact.

Problem 3.3.6

Put fn(t)=eint(−π≤t≤π)f_{n}(t) = e^{i n t}(-\pi \leq t \leq \pi ); let Lp=Lp(−π,π)L^{p} = L^{p}(-\pi , \pi ), with respect to Lebesgue measure. If 1≤p<∞1 \leq p < \infty, prove that fn→0f_{n} \rightarrow 0 weakly in LpL^{p}, but not strongly.

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Problem 3.3.7

L∞([0,1])L^{\infty }([0,1]) has its norm topology (∥f∥∞\left(\left\| f\right\|_{\infty }\right. is the essential supremum of ∣f∣)\left.\left|f\right|\right) and its weak*-topology as the dual of L1L^{1}. Show that CC, the space of all continuous functions on [0,1][0,1], is dense in L∞L^{\infty } in one of these topologies but not in the other. (Compare with the corollaries to Theorem 3.12). Show the same with "closed " in place of "dense".

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Problem 3.3.8

Let CC be the Banach space of all complex continuous functions on [0,1], with the supremum norm. Let BB be the closed unit ball of CC. Show that there exist continuous linear functionals Λ\Lambda on CC for which Λ(B)\Lambda (B) is an open subset of the complex plane; in particular, ∣Λ∣\left|\Lambda \right| attains no maximum on BB.

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Problem 3.3.9

Let E⊂L2(−π,π)E \subset L^{2}(-\pi , \pi ) be the set of all functions

fm,n(t)=eimt+meint f_{m, n}(t) = e^{i m t}+m e^{i n t}

where m,nm, n are integers and 0≤m<n0 \leq m < n. Let E1E_{1} be the set of all g∈L2g \in L^{2} such that some sequence in EE converges weakly to gg. (E1E_{1} is called the weak sequential closure of E).

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(a)

Find all g∈E1g \in E_{1}.

(b)

Find all gg in the weak closure Eˉw\bar{E}_{w} of EE.

(c)

Show that 0∈Eˉw0 \in \bar{E}_{w} but 0 is not in E1E_{1}, although 0 lies in the weak sequential closure of E1E_{1}.

This example shows that a weak sequential closure need not be weakly sequentially closed. The passage from a set to its weak sequential closure is therefore not a closure operation, in the sense in which that term is usually used in topology. (See also Exercise 28).

Problem 3.3.10

Represent ℓ1\ell^{1} as the space of all real functions xx on S={(m,n):m≥1,n≥1}S = \left\{ (m, n): m \geq 1, n \geq 1\right\}, such that

∥x∥1=∑∣x(m,n)∣<∞ \left\| x\right\| _{1} = \sum \left|x(m, n)\right| < \infty

Let c0c_{0} be the space of all real functions γ\gamma on SS such that y(m,n)→0y(m, n) \rightarrow 0 as m+n→∞m+n \rightarrow \infty, with norm ∥y∥∞=sup⁡∣y(m,n)∣\left\| y\right\|_{\infty } = \sup \left|y(m, n)\right|.

Let MM be the subspace of ℓ1\ell^{1} consisting of all x∈ℓ1x \in \ell^{1} that satisfy the equations

mx(m,1)=∑n=2∞x(m,n)(m=1,2,3,…) m x(m, 1) = \sum _{n = 2}^{\infty } x(m, n) \quad (m = 1,2,3, \ldots )
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(a)

Prove that ℓ1=(c0)∗\ell^{1} = \left(c_{0}\right)^{*}. (See also Exercise 24, Chapter 4).

(b)

Prove that MM is a norm-closed subspace of ℓ1\ell^{1}.

(c)

Prove that MM is weak*-dense in ℓ1\ell^{1} [relative to the weak*-topology given by (a)](a)].

(d)

Let BB be the norm-closed unit ball of ℓ1\ell^{1}. In spite of (c), prove that the weak*-closure of M∩BM \cap B contains no ball. Suggestion: If δ>0\delta > 0 and m>2/δm > 2 / \delta, then

∣x(m,1)∣≤∥x∥m<δ2 \left|x(m, 1)\right| \leq \frac{\left\| x\right\| }{m} < \frac{\delta }{2}

if x∈M∩Bx \in M \cap B, although x(m,1)=δx(m, 1) = \delta for some x∈δBx \in \delta B. Thus δB\delta B is not in the weak*-closure of M∩BM \cap B. Extend this to balls with other centers.

(e)

Put x0(m,1)=m−2,x0(m,n)=0x_{0}(m, 1) = m^{-2}, x_{0}(m, n) = 0 when n≥2n \geq 2. Prove that no sequence in MM is weak*-convergent to x0x_{0}, in spite of (c). Hint: Weak*-convergence of {xj}\left\{ x_{j}\right\} to x0x_{0} implies that xj(m,n)→x0(m,n)x_{j}(m, n) \rightarrow x_{0}(m, n) for all m,nm, n, as j→∞j \rightarrow \infty, and that {∥xj∥1}\left\{ \left\| x_{j}\right\|_{1}\right\} is bounded.

Problem 3.3.11

Let XX be an infinite-dimensional Fréchet space. Prove that X∗X^{*}, with its weak*topology, is of the first category in itself.

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Problem 3.3.12

Show that the norm-closed unit ball of c0c_{0} is not weakly compact; recall that (c0)∗=ℓ1\left(c_{0}\right)^{*} = \ell^{1} (Exercise 10).

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Problem 3.3.13

Put fN(t)=N−1∑n=1N2eintf_{N}(t) = N^{-1} \sum_{n = 1}^{N 2} e^{i n t}. Prove that fN→0f_{N} \rightarrow 0 weakly in L2(−π,π)L^{2}(-\pi , \pi ).

By Theorem 3.13, some sequence of convex combinations of the fNf_{N} converges to 0 in the L2L^{2}-norm. Find such a sequence. Show that gN=N−1(f1+⋯+fN)g_{N} = N^{-1}\left(f_{1}+\cdots +f_{N}\right) will not do.

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Problem 3.3.14
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(a)

Suppose Ω\Omega is a locally compact Hausdorff space. For each compact K⊂ΩK \subset \Omega define a seminorm pKp_{K} on C(Ω)C(\Omega ), the space of all complex continuous functions on Ω\Omega, by

pK(f)=sup⁡{∣f(x)∣:x∈K} p_{K}(f) = \sup \left\{ \left|f(x)\right|: x \in K\right\}

Give C(Ω)C(\Omega ) the topology induced by this collection of seminorms. Prove that to every Λ∈C(Ω)∗\Lambda \in C(\Omega )^{*} correspond a compact K⊂ΩK \subset \Omega and a complex Borel measure μ\mu on KK such that

Λf=∫Kfdμ[f∈C(Ω)] \Lambda f = \int _{K} f d \mu \quad [f \in C(\Omega )]
(b)

Suppose Ω\Omega is an open set in C\mathscr {C}. Find a countable collection Γ\Gamma of measures with compact support in Ω\Omega such that H(Ω)H(\Omega ) (the space of all holomorphic functions in Ω\Omega) consists of exactly those f∈C(Ω)f \in C(\Omega ) which satisfy ∫fdμ=0\int f d \mu = 0 for every μ∈Γ\mu \in \Gamma.

Problem 3.3.15

Let XX be a topological vector space on which X∗X^{*} separates points. Prove that the weak*-topology of X∗X^{*} is metrizable if and only if XX has a finite or countable Hamel basis. (See Exercise 1, Chapter 2 for the definition).

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Problem 3.3.16

Prove that the closed unit ball of L1L^{1} (relative to Lebesgue measure on the unit interval) has no extreme points but that every point on the "surface" of the unit ball in Lp(1<p<∞)L^{p}(1 < p < \infty ) is an extreme point of the ball.

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Problem 3.3.17

Determine the extreme points of the closed unit ball of CC, the space of all continuous functions on the unit interval, with the supremum norm. (The answer depends on the choice of the scalar field).

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Problem 3.3.18

Let KK be the smallest convex set in R3\mathbb {R}^{3} that contains the points (1,0,1),(1,0(1,0,1),(1,0, −1)-1), and (cos⁡θ,sin⁡θ,0)(\cos \theta , \sin \theta , 0), for 0≤θ≤2π0 \leq \theta \leq 2 \pi. Show that KK is compact but that the set of all extreme points of KK is not compact. Does such an example exist in R2\mathbb {R}^{2}?

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Problem 3.3.19

Suppose KK is a compact convex set in Rn\mathbb {R}^{n}. Prove that every x∈Kx \in K is a convex combination of at most n+1n+1 extreme points of KK. Suggestion: Use induction on nn. Draw a line from some extreme point of KK through xx to where it leaves KK. Use Exercise 1.

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Problem 3.3.20

Let {u1,u2,u3,…}\left\{ u_{1}, u_{2}, u_{3}, \ldots \right\} be a sequence of pairwise orthogonal unit vectors in a Hilbert space. Let KK consist of the vectors 0 and n−1un(n≥1)n^{-1} u_{n}(n \geq 1). Show that

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(a)

KK is compact;

(b)

co⁡(K)\operatorname {co}(K) is bounded;

(c)

co⁡(K)\operatorname {co}(K) is not closed.

Find all extreme points of co‾(K)\overline{co}(K).

Problem 3.3.21

If 0<p<10 < p < 1, every f∈Lpf \in L^{p} (except f=0f = 0) is the arithmetic mean of two functions whose distance from 0 is less than that of ff. (See Section 1.47). Use this to construct an explicit example of a countable compact set KK in LpL^{p} (with 0 as its only limit point) which has no extreme point.

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Problem 3.3.22

If 0<p<10 < p < 1, show that ℓp\ell^{p} contains a compact set KK whose convex hull is unbounded. This happens in spite of the fact that (ℓp)∗\left(\ell^{p}\right)^{*} separates points on ℓp\ell^{p}; see Exercise 5. Suggestion: Define xn∈ℓpx_{n} \in \ell^{p} by

xn(n)=np−1,xn(m)=0 if m≠n x_{n}(n) = n^{p-1}, \quad x_{n}(m) = 0 \quad \text{ if } m \neq n

Let KK consist of 0,x1,x2,x3,…0, x_{1}, x_{2}, x_{3}, \ldots If

yN=N−1(x1+⋯+xN) y_{N} = N^{-1}\left(x_{1}+\cdots +x_{N}\right)

show that {yN}\left\{ y_{N}\right\} is unbounded in ℓp\ell^{p}.

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Problem 3.3.23

Suppose μ\mu is a Borel probability measure on a compact Hausdorff space Q,XQ, X is a Fréchet space, and f:Q→Xf: Q \rightarrow X is continuous. A partition of QQ is, by definition, a finite collection of disjoint Borel subsets of QQ whose union is QQ. Prove that to every neighborhood VV of 0 in XX there corresponds a partition {Ei}\left\{ E_{i}\right\} such that the difference

z=∫Qfdμ−∑iμ(Ei)f(si) z = \int _{Q} f d \mu -\sum _{i} \mu \left(E_{i}\right) f\left(s_{i}\right)

lies in VV for every choice of si∈Eis_{i} \in E_{i}. (This exhibits the integral as a strong limit of "Riemann sums".) Suggestion: Take VV convex and balanced. If Λ∈X∗\Lambda \in X^{*} and if ∣Λx∣≤1\left|\Lambda x\right| \leq 1 for every x∈Vx \in V, then ∣Λz∣≤1\left|\Lambda z\right| \leq 1, provided that the sets EiE_{i} are chosen so that f(s)−f(t)∈Vf(s)-f(t) \in V whenever ss and tt lie in the same EiE_{i}.

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Problem 3.3.24

In addition to the hypotheses of Theorem 3.27, assume that TT is a continuous linear mapping of XX into a topological vector space YY on which Y∗Y^{*} separates points, and prove that

T∫Qfdμ=∫Q(Tf)dμ T \int _{Q} f d \mu = \int _{Q}(T f) d \mu

Hint: ΛT∈X∗\Lambda T \in X^{*} for every Λ∈Y∗\Lambda \in Y^{*}.

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Problem 3.3.25

Let EE be the set of all extreme points of a compact set KK in a topological vector space XX on which X∗X^{*} separates points. Prove that to every y∈Ky \in K corresponds a regular Borel probability measure μ\mu on Q=EˉQ = \bar{E} such that

y=∫Qxdμ(x) y = \int _{Q} x d \mu (x)
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Problem 3.3.26

Suppose Ω\Omega is a region in C,X\mathbb {C}, X is a Fréchet space, and f:Ω→Xf: \Omega \rightarrow X is holomorphic.

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(a)

State and prove a theorem concerning the power series representation of ff, that is, concerning the formula f(z)=∑(z−a)ncnf(z) = \sum (z-a)^{n} c_{n}, where cn∈Xc_{n} \in X.

(b)

Generalize Morera's theorem to XX-valued holomorphic functions.

(c)

For a sequence of complex holomorphic functions in Ω\Omega, uniform convergence on compact subsets of Ω\Omega implies that the limit is holomorphic. Does this generalize to XX-valued holomorphic functions?

Problem 3.3.27

Suppose {αi}\left\{ \alpha_{i}\right\} is a bounded set of distinct complex numbers, f(z)=∑0∞cnznf(z) = \sum_{0}^{\infty } c_{n} z^{n} is an entire function with every cn≠0c_{n} \neq 0, and

gi(z)=f(αiz) g_{i}(z) = f\left(\alpha _{i} z\right)

Prove that the vector space generated by the functions gig_{i} is dense in the Fréchet space H(C)H(\mathbb {C}) defined in Section 1.45.

Suggestion: Assume μ\mu is a measure with compact support such that ∫gidμ=0\int g_{i} d \mu = 0 for all ii. Put

ϕ(w)=∫f(wz)dμ(z)(w∈C) \phi (w) = \int f(w z) d \mu (z) \quad (w \in \mathscr {C})

Prove that ϕ(w)=0\phi (w) = 0 for all ww. Deduce that ∫zndμ(z)=0\int z^{n} d \mu (z) = 0 for n=1,2,3,…n = 1,2,3, \ldots Use Exercise 14.

Describe the closed subspace of H(C)H(\mathbb {C}) generated by the functions gig_{i} if some of the cnc_{n} are 0.

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Problem 3.3.28

Suppose XX is a Fréchet space (or, more generally, a metrizable locally convex space). Prove the following statements:

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(a)

X∗X^{*} is the union of countably many weak*-compact sets EnE_{n}.

(b)

If XX is separable, each EnE_{n} is metrizable. The weak*-topology of X∗X^{*} is therefore separable, and some countable subset of X∗X^{*} separates points on XX. (Compare with Exercise 15).

(c)

If KK is a weakly compact subset of XX and if x0∈Kx_{0} \in K is a weak limit point of some countable set E⊂KE \subset K, then there is a sequence {xn}\left\{ x_{n}\right\} in EE which converges weakly to x0x_{0}.Hint: Let YY be the smallest closed subspace of XX that contains EE. Apply (b) to YY to conclude that the weak topology of K∩YK \cap Y is metrizable.

Remark: The point of (c) is the existence of convergent subsequences rather than subnets. Note that there exist compact Hausdorff spaces in which no sequence of distinct points converges. For an example, see Exercise 18, Chapter 11.

Problem 3.3.29

Let C(K)C(K) be the Banach space of all continuous complex functions on the compact Hausdorff space KK, with the supremum norm. For p∈Kp \in K, define Λp∈C(K)∗\Lambda_{p} \in C(K)^{*} by Λpf=f(p)\Lambda_{p} f = f(p). Show that p→Λpp \rightarrow \Lambda_{p} is a homeomorphism of KK into C(K)∗C(K)^{*}, equipped with its weak*-topology. Part (c) of Exercise 28 can therefore not be extended to weak*-compact sets.

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Problem 3.3.30

Suppose that pp is an extreme point of some convex set KK, and that p=t1x1+⋯+tnxnp = t_{1} x_{1}+\cdots +t_{n} x_{n}, where ∑ti=1,ti>0\sum t_{i} = 1, t_{i} > 0 and xi∈Kx_{i} \in K for all ii. Prove that xi=px_{i} = p for all ii.

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Problem 3.3.31

Suppose that A1,…,AnA_{1}, \ldots , A_{n} are convex sets in a vector space XX. Prove that every x∈co⁡(A1∪⋯∪An)x \in \operatorname {co}\left(A_{1} \cup \cdots \cup A_{n}\right) can be represented in the form

x=t1a1+⋯+tnan x = t_{1} a_{1}+\cdots +t_{n} a_{n}

with ai∈Aia_{i} \in A_{i} and ti≥0t_{i} \geq 0 for all i,∑ti=1i, \sum t_{i} = 1.

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Problem 3.3.32

Let XX be an infinite-dimensional Banach space and let S={x∈X:∥x∥=1}S = \left\{ x \in X: \left\| x\right\| = 1\right\} be the unit sphere of XX. We want to cover SS with finitely many closed balls, none of which contains the origin of XX. Can this be done in

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(a)

every XX,

(b)

some XX,

(c)

no XX?

Problem 3.3.33

Let C(I)C(I) be the Banach space of all continuous complex functions on the closed unit interval II, with the supremum norm. Let M=C(I)∗M = C(I)^{*}, the space of all complex Borel measures on II. Give MM the weak*-topology induced by C(I)C(I).

For each t∈It \in I, let et∈Me_{t} \in M be the "evaluation functional" defined by etf=f(t)e_{t} f = f(t), and define Λ∈M\Lambda \in M by Λf=∫01f(s)ds\Lambda f = \int_{0}^{1} f(s) d s.

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(a)

Show that t−ett-e_{t} is a continuous map from II into MM and that K={et:t∈I}K = \left\{ e_{t}: t \in I\right\} is a compact set in MM.

(b)

Show that Λ∈co‾(K)\Lambda \in \overline{co}(K).

(c)

Find all μ∈co‾(K)\mu \in \overline{co}(K).

(d)

Let XX be the subspace of MM consisting of all finite linear combinations

c0Λ+c1et1+⋯+cnetn c_{0} \Lambda +c_{1} e_{t_{1}}+\cdots +c_{n} e_{t_{n}}

with complex coefficients cjc_{j}. Note that co⁡(K)⊂X\operatorname {co}(K) \subset X and that X∩co‾(K)X \cap \overline{co}(K) is the closed convex hull of KK within XX. Prove that Λ\Lambda is an extreme point of X∩co‾(K)X \cap \overline{co}(K), even though Λ\Lambda is not in KK.

Problem 3.4.1

Let ϕ\phi be the embedding of XX into X∗∗X^{* *} described in Section 4.5. Let τ\tau be the weak topology of XX, and let σ\sigma be the weak*-topology of X∗∗X^{* *}-the one induced by X∗X^{*}.

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(a)

Prove that ϕ\phi is a homeomorphism of (X,τ)(X, \tau ) onto a dense subspace of (X∗∗,σ)\left(X^{* *}, \sigma \right).

(b)

If BB is the closed unit ball of XX, prove that ϕ(B)\phi (B) is σ\sigma-dense in the closed unit ball of X∗∗X^{* *}. (Use the Hahn-Banach separation theorem).

(c)

Use (a), (b), and the Banach-Alaoglu theorem to prove that XX is reflexive if and only if BB is weakly compact.

(d)

Deduce from (c) that every norm-closed subspace of a reflexive space XX is reflexive.

(e)

If XX is reflexive and YY is a closed subspace of XX, prove that X/YX / Y is reflexive.

(f)

Prove that XX is reflexive if and only if X∗X^{*} is reflexive. Suggestion: One half follows from (c); for the other half, apply (d) to the subspace ϕ(X)\phi (X) of X∗∗X^{* *}.

Problem 3.4.2

Which of the spaces c0,ℓ1,ℓp,ℓ∞c_{0}, \ell^{1}, \ell^{p}, \ell^{\infty } are reflexive? Prove that every finitedimensional normed space is reflexive. Prove that CC, the supremum-normed space of all complex continuous functions, on the unit interval, is not reflexive.

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Problem 3.4.3

Prove that a subset EE of B(X,Y)\mathscr {B}(X, Y) is equicontinuous if and only if there exists M<∞M < \infty such that ∥Λ∥≤M\left\| \Lambda \right\| \leq M for every Λ∈E\Lambda \in E.

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Problem 3.4.4

Recall that X∗=B(X,C)X^{*} = \mathscr {B}(X, \mathscr {C}), if C\mathscr {C} is the scalar field. Hence Λ∗∈B(C,X∗)\Lambda^{*} \in \mathscr {B}\left(\mathbb {C}, X^{*}\right) for every Λ∈X∗\Lambda \in X^{*}. Identify the range of Λ∗\Lambda^{*}.

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Problem 3.4.5

Prove that T∈B(X,Y)T \in \mathscr {B}(X, Y) is an isometry of XX onto YY if and only if T∗T^{*} is an isometry of Y∗Y^{*} onto X∗X^{*}.

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Problem 3.4.6

Let σ\sigma and τ\tau be the weak*-topologies of X∗X^{*} and Y∗Y^{*}, respectively, and prove that SS is a continuous linear mapping of (Y∗,τ)\left(Y^{*}, \tau \right) into (X∗,σ)\left(X^{*}, \sigma \right) if and only if S=T∗S = T^{*} for some T∈B(X,Y)T \in \mathscr {B}(X, Y).

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Problem 3.4.7

Let L1L^{1} be the usual space of integrable functions on the closed unit interval JJ, relative to Lebesgue measure. Suppose T∈B(L1,Y)T \in \mathscr {B}\left(L^{1}, Y\right), so that T∗∈B(Y∗,L∞)T^{*} \in \mathscr {B}\left(Y^{*}, L^{\infty }\right). Suppose R(T∗)\mathscr {R}\left(T^{*}\right) contains every continuous function on JJ. What can you deduce about TT?

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Problem 3.4.8

Prove that (ST)∗=T∗S∗(S T)^{*} = T^{*} S^{*}. Supply the hypotheses under which this makes sense.

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Problem 3.4.9

Suppose S∈B(X),T∈B(X)S \in \mathscr {B}(X), T \in \mathscr {B}(X).

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(a)

Show, by an example, that ST=IS T = I does not imply TS=IT S = I.

(b)

However, assume TT is compact, show that

S(I−T)=I if and only if (I−T)S=I S(I-T) = I \text{ if and only if }(I-T) S = I

and show that either of these equalities implies that I−(I−T)−1I-(I-T)^{-1} is compact.

Problem 3.4.10

Assume T∈B(X)T \in \mathscr {B}(X) is compact, and assume either that dim⁡X=∞\operatorname {dim} X = \infty or that the scalar field is C\mathbb {C}. Prove that σ(T)\sigma (T) is not empty. However, σ(T)\sigma (T) may be empty if dim⁡X<∞\operatorname {dim} X < \infty and the scalar field is R\mathbb {R}.

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Problem 3.4.11

Suppose dim⁡X<∞\operatorname {dim} X < \infty and show that the equality β∗=β\beta^{*} = \beta of Theorem 4.25 reduces to the statement that the row rank of a square matrix is equal to its column rank.

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Problem 3.4.12

Suppose T∈B(X,Y)T \in \mathscr {B}(X, Y) and R(T)\mathscr {R}(T) is closed in YY. Prove that

dim⁡N(T)=dim⁡X∗/R(T∗)dim⁡N(T∗)=dim⁡Y/R(T) \begin{aligned} \operatorname {dim} \mathscr {N}(T) & = \operatorname {dim} X^{*} / \mathscr {R}\left(T^{*}\right) \\ \operatorname {dim} \mathscr {N}\left(T^{*}\right) & = \operatorname {dim} Y / \mathscr {R}(T) \end{aligned}

This generalizes the assertions α=β∗\alpha = \beta^{*} and α∗=β\alpha^{*} = \beta of Theorem 4.25.

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Problem 3.4.13
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(a)

Suppose T∈B(X,Y),Tn∈B(X,Y)T \in \mathscr {B}(X, Y), T_{n} \in \mathscr {B}(X, Y) for n=1,2,3,…n = 1,2,3, \ldots, each TnT_{n} has finitedimensional range, and lim⁡∥T−Tn∥=0\lim \left\| T-T_{n}\right\| = 0. Prove that TT is compact.

(b)

Assume YY is a Hilbert space, and prove the converse of (a): Every compact T∈B(X,Y)T \in \mathscr {B}(X, Y) can be approximated in the operator norm by operators with finite-dimensional ranges. Hint: In a Hilbert space there are linear projections of norm 1 onto any closed subspace. (See Theorems 5.16, 12.4).

Problem 3.4.14

Define a shift operator SS and a multiplication operator MM on ℓ2\ell^{2} by

(Sx)(n)={0 if n=0x(n−1) if n≥1(Mx)(n)=(n+1)−1x(n) if n≥0 \begin{aligned} (S x)(n) & = \begin{cases} 0 & \text{ if } n = 0 \\ x(n-1) & \text{ if } n \geq 1\end{cases} \\ (M x)(n) & = (n+1)^{-1} x(n) \quad \text{ if } n \geq 0 \end{aligned}

Put T=MST = M S. Show that TT is a compact operator which has no eigenvalue and whose spectrum consists of exactly one point. Compute ∥Tn∥\left\| T^{n}\right\|, for n=1,2,3,…n = 1,2,3, \ldots, and compute lim⁡n→∞∥Tn∥1/n\lim_{n \rightarrow \infty }\left\| T^{n}\right\|^{1 / n}.

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Problem 3.4.15

Suppose μ\mu is a finite (or σ\sigma-finite) positive measure on a measure space Ω,μ×μ\Omega , \mu \times \mu is the corresponding product measure on Ω×Ω\Omega \times \Omega, and K∈L2(μ×μ)K \in L^{2}(\mu \times \mu ). Define

(Tf)(s)=∫ΩK(s,t)f(t)dμ(t)[f∈L2(μ)] (T f)(s) = \int _{\Omega } K(s, t) f(t) d \mu (t) \quad \left[f \in L^{2}(\mu )\right]
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(a)

Prove that T∈B(L2(μ))T \in \mathscr {B}\left(L^{2}(\mu )\right) and that

∥T∥2≤∬ΩΩ∣K(s,t)∣2dμ(s)dμ(t) \left\| T\right\| ^{2} \leq \iint _{\Omega \Omega }\left|K(s, t)\right|^{2} d \mu (s) d \mu (t)
(b)

Suppose ai,bia_{i}, b_{i} are members of L2(μ)L^{2}(\mu ), for 1≤i≤n1 \leq i \leq n, put K1(s,t)=∑ai(s)bi(t)K_{1}(s, t) = \sum a_{i}(s) b_{i}(t), and define T1T_{1} in terms of K1K_{1} as TT was defined in terms of KK. Prove that dim⁡R(T1)≤n\operatorname {dim} \mathscr {R}\left(T_{1}\right) \leq n.

(c)

. Deduce that TT is a compact operator on L2(μ)L^{2}(\mu ). Hint: Use Exercise 13.

(d)

Suppose λ∈C,λ≠0\lambda \in \mathbb {C}, \lambda \neq 0. Prove: Either the equation

Tf−λf=g T f-\lambda f = g

has a unique solution f∈L2(μ)f \in L^{2}(\mu ) for every g∈L2(μ)g \in L^{2}(\mu ) or there are infinitely many solutions for some gg and none for others. (This is known as the Fredholm alternative).

(e)

Describe the adjoint of TT.

Problem 3.4.16

Define

K(s,t)={(1−s)t if 0≤t≤s(1−t)s if s≤t≤1 K(s, t) = \begin{cases} (1-s) t & \text{ if } 0 \leq t \leq s \\ (1-t) s & \text{ if } s \leq t \leq 1\end{cases}

and define T∈B(L2(0,1))T \in \mathscr {B}\left(L^{2}(0,1)\right) by

(Tf)(s)=∫01K(s,t)f(t)dt(0≤s≤1) (T f)(s) = \int _{0}^{1} K(s, t) f(t) d t \quad (0 \leq s \leq 1)
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(a)

Show that the eigenvalues of TT are (nπ)−2,n=1,2,3,…(n \pi )^{-2}, n = 1,2,3, \ldots, that the corresponding eigenfunctions are sin⁡nπx\sin n \pi x, and that each eigenspace is onedimensional. Hint: If λ≠0\lambda \neq 0, the equation Tf=λfT f = \lambda f implies that ff is infinitely differentiable, that λf′′+f=0\lambda f^{\prime \prime }+f = 0, and that f(0)=f(1)=0f(0) = f(1) = 0. The case λ=0\lambda = 0 can be treated separately.

(b)

Show that the above eigenfunctions form an orthogonal basis for L2(0,1)L^{2}(0,1).

(c)

Suppose g(t)=∑cnsin⁡nπtg(t) = \sum c_{n} \sin n \pi t. Discuss the equation Tf−λf=gT f-\lambda f = g.

(d)

Show that TT is also a compact operator on CC, the space of all continuous functions on [0,1]. Hint: If {fi}\left\{ f_{i}\right\} is uniformly bounded, then {Tfi}\left\{ T f_{i}\right\} is equicontinuous.

Problem 3.4.17

If L2=L2(0,∞)L^{2} = L^{2}(0, \infty ) relative to Lebesgue measure, and if

(Tf)(s)=1s∫0sf(t)dt(0<s<∞) (T f)(s) = \frac{1}{s} \int _{0}^{s} f(t) d t \quad (0 < s < \infty )

prove that T∈B(L2)T \in \mathscr {B}\left(L^{2}\right) and that TT is not compact. (The fact that ∥T∥≤2\left\| T\right\| \leq 2 is a special case of Hardy's inequality. See p. 72 of [23]).

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Problem 3.4.18

Prove the following statements:

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(a)

If {xn}\left\{ x_{n}\right\} is a weakly convergent sequence in XX, then {∥xn∥}\left\{ \left\| x_{n}\right\| \right\} is bounded.

(b)

If T∈B(X,Y)T \in \mathscr {B}(X, Y) and xn→xx_{n} \rightarrow x weakly, then Txn→TxT x_{n} \rightarrow T x weakly.

(c)

If T∈B(X,Y)T \in \mathscr {B}(X, Y), if xn→xx_{n} \rightarrow x weakly, and if TT is compact, then ∥Txn−Tx∥→0\left\| T x_{n}-T x\right\| \rightarrow 0.

(d)

Conversely, if XX is reflexive, if T∈B(X,Y)T \in \mathscr {B}(X, Y), and if ∥Txn−Tx∥→0\left\| T x_{n}-T x\right\| \rightarrow 0 whenever xn→xx_{n} \rightarrow x weakly, then TT is compact. Hint: Use (c) of Exercise 1, and part (c) of Exercise 28 in Chapter 3.

(e)

If XX is reflexive and T∈B(X,ℓ1)T \in \mathscr {B}\left(X, \ell^{1}\right), then TT is compact. Hence R(T)≠ℓ1\mathscr {R}(T) \neq \ell^{1}. Hint: Use (c) of Exercise 5 of Chapter 3.

(f)

If YY is reflexive and T∈B(c0,Y)T \in \mathscr {B}\left(c_{0}, Y\right), then TT is compact.

Problem 3.4.19

Suppose YY is a closed subspace of XX, and x0∗∈X∗x_{0}^{*} \in X^{*}. Put

μ=sup⁡{∣⟨x,x0∗⟩∣:x∈Y,∥x∥≤1}δ=inf⁡{∥x∗−x0∗∥:x∗∈Y⊥} \begin{aligned} & \mu = \sup \left\{ \left| \left\langle x, x_{0}^{*} \right\rangle \right|: x \in Y, \left\| x\right\| \leq 1\right\} \\ & \delta = \inf \left\{ \left\| x^{*}-x_{0}^{*}\right\| : x^{*} \in Y^{\perp }\right\} \end{aligned}

In other words, μ\mu is the norm of the restriction of x0∗x_{0}^{*} to YY, and δ\delta is the distance from x0∗x_{0}^{*} to the annihilator of YY. Prove that μ=δ\mu = \delta. Prove also that δ=∥x∗−x0∗∥\delta = \left\| x^{*}-x_{0}^{*}\right\| for at least one x∗∈Y⊥x^{*} \in Y^{\perp }.

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Problem 3.4.20

Extend Sections 4.6 to 4.9 to locally convex spaces. (The word "isometric" must of course be deleted from the statement of Theorem 4.9).

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Problem 3.4.21

Let BB and B∗B^{*} be the closed unit balls in XX and X∗X^{*}, respectively. The following is a converse of the Banach-Alaoglu theorem: If EE is a convex set in X∗X^{*} such that E∩(rB∗)E \cap \left(r B^{*}\right) is weak*-compact for every r>0r > 0, then EE is weak*-closed. (Corollary: A subspace of X∗X^{*} is weak*-closed if and only if its intersection with B∗B^{*} is weak*-compact).

Complete the following outline of the proof.

(i) EE is norm-closed.

(ii) Associated to each F⊂XF \subset X its polar

P(F)={x∗:∣⟨x,x∗⟩∣≤1 for all x∈F} P(F) = \left\{ x^{*}:\left| \left\langle x, x^{*} \right\rangle \right| \leq 1 \text{ for all } x \in F\right\}

The intersection of all sets P(F)P(F), as FF ranges over the collection of all finite subsets of r−1Br^{-1} B, is exactly rB∗r B^{*}.

(iii) The theorem is a consequence of the following proposition: If, in addition to the stated hypotheses, E∩B∗=∅E \cap B^{*} = \varnothing, then there exists x∈Xx \in X such that Re(⟨x,x∗⟩)≥1\mathrm{Re}\left( \left\langle x, x^{*} \right\rangle \right) \geq 1 for every x∗∈Ex^{*} \in E.

(iv) Proof of the proposition: Put F0={0}F_{0} = \left\{ 0\right\}. Assume finite sets F0,…,Fk−1F_{0}, \ldots , F_{k-1} have been chosen so that iFi⊂Bi F_{i} \subset B and so that

P(F0)∩⋯∩P(Fk−1)∩E∩kB∗=∅(1) P\left(F_{0}\right) \cap \cdots \cap P\left(F_{k-1}\right) \cap E \cap k B^{*} = \varnothing \tag {1}

Note that (1) is true for k=1k = 1. Put

Q=P(F0)∩⋯∩P(Fk−1)∩E∩(k+1)B∗ Q = P\left(F_{0}\right) \cap \cdots \cap P\left(F_{k-1}\right) \cap E \cap (k+1) B^{*}

If P(F)∩Q≠∅P(F) \cap Q \neq \varnothing for every finite set F⊂k−1BF \subset k^{-1} B, the weak*-compactness of QQ, together with (ii), implies that (kB∗)∩Q≠∅\left(k B^{*}\right) \cap Q \neq \varnothing, which contradicts (1). Hence there is a finite set Fk⊂k−1BF_{k} \subset k^{-1} B such that (1) holds with k+1k+1 in place of kk. The construction can thus proceed. It yields

E∩⋂k=1∞P(Fk)=∅(2) E \cap \bigcap _{k = 1}^{\infty } P\left(F_{k}\right) = \varnothing \tag {2}

Arrange the members of ⋃Fk\bigcup F_{k} in a sequence {xn}\left\{ x_{n}\right\}. Then ∥xn∥→0\left\| x_{n}\right\| \rightarrow 0. Define T:X∗→c0T: X^{*} \rightarrow c_{0} by

Tx∗={⟨xn,x∗⟩} T x^{*} = \left\{ \left\langle x_{n}, x^{*} \right\rangle \right\}

Then T(E)T(E) is a convex subset of c0c_{0}. By (2),

∥Tx∗∥=sup⁡n∣⟨xn,x∗⟩∣≥1 \left\| T x^{*}\right\| = \sup _{n}\left| \left\langle x_{n}, x^{*} \right\rangle \right| \geq 1

for every x∗∈Ex^{*} \in E. Hence there is a scalar sequence {αn}\left\{ \alpha_{n}\right\}, with ∑∣αn∣<∞\sum \left|\alpha_{n}\right| < \infty, such that

Re(∑n=1∞αn⟨xn,x∗⟩)≤1 \mathrm{Re}\left(\sum _{n = 1}^{\infty } \alpha _{n} \left\langle x_{n}, x^{*} \right\rangle \right) \leq 1

for every x∗∈Ex^{*} \in E. To complete the proof, put x=∑αnxnx = \sum \alpha_{n} x_{n}.

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Problem 3.4.22

Suppose T∈B(X),TT \in \mathscr {B}(X), T is compact, λ≠0\lambda \neq 0, and S=T−λIS = T-\lambda I.

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(a)

If N(Sn)=N(Sn+1)\mathscr {N}\left(S^{n}\right) = \mathscr {N}\left(S^{n+1}\right) for some nonnegative integer nn, prove that N(Sn)=N(Sn+k)\mathscr {N}\left(S^{n}\right) = \mathscr {N}\left(S^{n+k}\right) for k=1,2,3,…k = 1,2,3, \ldots

(b)

Prove that (a) must happen for some n. (Hint: Consider the proof of Theorem 4.24).

(c)

Let nn be the smallest nonnegative integer for which (a) holds. Prove that dim⁡N(Sn)\operatorname {dim} \mathscr {N}\left(S^{n}\right) is finite, that

X=N(Sn)⊕R(Sn) X = \mathscr {N}\left(S^{n}\right) \oplus \mathscr {R}\left(S^{n}\right)

and that the restriction of SS to R(Sn)\mathscr {R}\left(S^{n}\right) is a one-to-one mapping of R(Sn)\mathscr {R}\left(S^{n}\right) onto R(Sn)\mathscr {R}\left(S^{n}\right).

Problem 3.4.23

Suppose {xn}\left\{ x_{n}\right\} is a sequence in a Banach space XX, and

∑n=1∞∥xn∥=M<∞ \sum _{n = 1}^{\infty }\left\| x_{n}\right\| = M < \infty

Prove that the series ∑xn\sum x_{n} converges to some x∈Xx \in X. Explicitly, prove that

lim⁡n→∞∥x−(x1+⋯+xn)∥=0 \lim _{n \rightarrow \infty }\left\| x-\left(x_{1}+\cdots +x_{n}\right)\right\| = 0

Prove also that ∥x∥≤M\left\| x\right\| \leq M. (These facts were used in the proof of Theorem 4.13).

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Problem 3.4.24

Let cc be the space of all complex sequences

x={x1,x2,x3,…} x = \left\{ x_{1}, x_{2}, x_{3}, \ldots \right\}

for which x∞=lim⁡xnx_{\infty } = \lim x_{n} exists (in C\mathbb {C}). Put ∥x∥=sup⁡∣xn∣\left\| x\right\| = \sup \left|x_{n}\right|. Let c0c_{0} be the subspace of cc that consists of all xx with x∞=0x_{\infty } = 0.

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(a)

Describe explicitly two isometric isomorphisms uu and vv, such that uu maps c∗c^{*} onto ℓ1\ell^{1} and vv maps c0∗c_{0}^{*} onto ℓ1\ell^{1}.

(b)

Define SS : c0→cc_{0} \rightarrow c by Sf=fS f = f. Describe the operator vS∗u−1v S^{*} u^{-1} that maps ℓ1\ell^{1} to ℓ1\ell^{1}.

(c)

Define T:c→c0T: c \rightarrow c_{0} by setting

y1=x∞,yn+1=xn−x∞ if n≥1 y_{1} = x_{\infty }, \quad y_{n+1} = x_{n}-x_{\infty } \quad \text{ if } n \geq 1

Prove that TT is one-to-one and that Tc=c0T c = c_{0}. Find ∥T∥\left\| T\right\| and ∥T−1∥\left\| T^{-1}\right\|. Describe the operator uT∗v−1u T^{*} v^{-1} that maps ℓ1\ell^{1} to ℓ1\ell^{1}.

Problem 3.4.25

If T∈B(X,Y)T \in \mathscr {B}(X, Y) and R(T∗)=N(T)⊥\mathscr {R}\left(T^{*}\right) = \mathscr {N}(T)^{\perp }, prove that R(T)\mathscr {R}(T) is closed.

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Problem 3.4.26

Assume T∈B(X,Y)T \in \mathscr {B}(X, Y) and T(X)=YT(X) = Y. Show that there exists δ>0\delta > 0 such that S(X)=YS(X) = Y for all S∈B(X,Y)S \in \mathscr {B}(X, Y) with ∥S−T∥<δ\left\| S-T\right\| < \delta.

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Problem 3.4.27

Suppose T∈B(X)T \in \mathscr {B}(X). Prove that λ∈σ(T)\lambda \in \sigma (T) if and only if there is a sequence {xn}\left\{ x_{n}\right\} in X,∥xn∥=1X,\left\| x_{n}\right\| = 1, for which

lim⁡n→∞∥Txn−λxn∥=0 \lim _{n \rightarrow \infty }\left\| T x_{n}-\lambda x_{n}\right\| = 0
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Remark.
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Thus every λ∈σ(T)\lambda \in \sigma (T) which is not an eigenvalue of TT is an "approximate" eigenvalue.

Problem 3.5.1

Define measures μ1,μ2\mu_{1}, \mu_{2} on the unit circle by

dμ1=cos⁡θdθ,dμ2=sin⁡θdθ d \mu _{1} = \cos \theta d \theta , \quad d \mu _{2} = \sin \theta d \theta

and find the range of the measure μ=(μ1,μ2)\mu = \left(\mu_{1}, \mu_{2}\right).

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Problem 3.5.2

Construct two functions ff and gg on [0,1][0,1] with the following property: If

dμ1=f(x)dx,dμ2=g(x)dx,μ=(μ1,μ2) d \mu _{1} = f(x) d x, \quad d \mu _{2} = g(x) d x, \quad \mu = \left(\mu _{1}, \mu _{2}\right)

then the range of μ\mu is the square with vertices at (1,0),(0,1),(−1,0),(0,−1)(1,0),(0,1),(-1,0),(0,-1).

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Problem 3.5.3

Suppose that the hypotheses of Theorem 5.9 are satisfied, that ϕ∈C(S),ϕ>0\phi \in C(S), \phi > 0, g∈C(K)g \in C(K), and ∣g∣<ϕ∣K\left|g\right| < \left.\phi \right|_{K}. Prove that there exists f∈Yf \in Y such that f∣K=g\left.f\right|_{K} = g and ∣f∣<ϕ\left|f\right| < \phi on S. Hint: Apply Theorem 5.9 to the space of all functions f/ϕf / \phi, with f∈Yf \in Y.

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Problem 3.5.4

Supply the details of the proof that every extreme point of PP has its support at a single point. (This refers to the end of proof of Theorem 5.10).

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Problem 3.5.5

Prove the analogues of Theorems 1.10 to 1.12 that are alluded to in Section 5.12. (Do not assume that GG is commutative).

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Problem 3.5.6

Suppose GG is a topological group and HH is the largest connected subset of GG that contains the identity element ee. Prove that HH is a normal subgroup of GG, that is, a subgroup that satisfies x−1Hx=Hx^{-1} H x = H for every x∈Gx \in G. Hint: If AA and BB are connected subsets of GG, so are ABA B and A−1A^{-1}.

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Problem 3.5.7

Prove that every open subgroup of a topological group is closed. (The converse is obviously false).

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Problem 3.5.8

Suppose mm is the Haar measure of a compact group GG, and VV is a nonempty open set in GG. Prove that m(V)>0m(V) > 0.

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Problem 3.5.9

Put en(θ)=einθe_{n}(\theta ) = e^{i n \theta }. Let L2L^{2} refer to the Haar measure of the unit circle. Let AA be the smallest closed subspace of L2L^{2} that contains ene_{n} for n=0,1,2,…n = 0,1,2, \ldots, let BB be the smallest closed subspace of L2L^{2} that contains e−n+nene_{-n}+n e_{n} for n=1,2,3,…n = 1,2,3, \ldots Prove the following:

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(a)

A∩B={0}A \cap B = \left\{ 0\right\}.

(b)

If X=A+BX = A+B then XX is dense in L2L^{2}, but X≠L2X \neq L^{2}.

(c)

Although X=A⊕BX = A \oplus B, the projection in XX with range AA and null space BB is not continuous. (The topology of XX is, of course, the one that XX inherits from L2L^{2}. Compare with Theorem 5.16).

Problem 3.5.10

Suppose XX is a Banach space, P∈B(X),Q∈B(X)P \in \mathscr {B}(X), Q \in \mathscr {B}(X), and PP and QQ are projections.

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(a)

Show that the adjoint P∗P^{*} of PP is a projection in X∗X^{*}.

(b)

Show that ∥P−Q∥≥1\left\| P-Q\right\| \geq 1 if PQ=QPP Q = Q P and P≠QP \neq Q.

Problem 3.5.11

Suppose PP and QQ are projections in a vector space XX.

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(a)

Prove that P+QP+Q is a projection if and only if PQ=QP=0P Q = Q P = 0. In that case,

N(P+Q)=N(P)∩N(Q)R(P+Q)=R(P)+R(Q)R(P)∩R(Q)={0} \begin{aligned} \mathscr {N}(P+Q) & = \mathscr {N}(P) \cap \mathscr {N}(Q) \\ \mathscr {R}(P+Q) & = \mathscr {R}(P)+\mathscr {R}(Q) \\ \mathscr {R}(P) \cap \mathscr {R}(Q) & = \left\{ 0\right\} \end{aligned}
(b)

If PQ=QPP Q = Q P, prove that PQP Q is a projection and that

N(PQ)=N(P)+N(Q)R(PQ)=R(P)∩R(Q) \begin{aligned} \mathscr {N}(P Q) & = \mathscr {N}(P)+\mathscr {N}(Q) \\ \mathscr {R}(P Q) & = \mathscr {R}(P) \cap \mathscr {R}(Q) \end{aligned}
(c)

What do the matrices

[1000] and [1−100] \left[\begin{smallmatrix} 1 & 0 \\ 0 & 0 \end{smallmatrix}\right] \quad \text{ and } \quad \left[\begin{smallmatrix} 1 & -1 \\ 0 & 0 \end{smallmatrix}\right]

show about part (b)(b)?

Problem 3.5.12

Prove that the translation operators τs\tau_{s} used in Example 5.19 satisfy the continuity property described in Section 5.17. Explicitly, prove that

∥τrg−τsf∥1→0 \left\| \tau _{r} g-\tau _{s} f\right\| _{1} \rightarrow 0

if r→sr \rightarrow s and g→fg \rightarrow f in L1L^{1}.

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Problem 3.5.13

Use the following example to show that the compactness of GG cannot be omitted from the hypotheses of Theorem 5.18. Take X=L1X = L^{1} on the real line R\mathbb {R}, relative to Lebesgue measure; f∈Yf \in Y if and only if ∫Rf=0;G=R\int_{\mathbb {R}} f = 0 ; G = \mathbb {R} with the usual topology; GG acts on L1L^{1} by translation: (τsf)(x)=f(s+x)\left(\tau_{s} f\right)(x) = f(s+x). The joint continuity property is satisfied (see Exercise 12), τsY=Y\tau_{s} Y = Y for every ss, and YY is complemented in XX. Yet there is no projection of XX onto YY (continuous or not) that commutes with every τs\tau_{s}.

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Problem 3.5.14

Suppose SS and TT are continuous linear operators in a topological vector space, and

T=TST T = T S T

Prove that TT has closed range. (See Theorem 5.16 for the case S=IS = I).

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Problem 3.5.15

Suppose AA is a closed subspace of C(S)C(S), where SS is a compact Hausdorff space; suppose μ\mu is an extreme point of the unit ball of A⊥A^{\perp }; and suppose f∈C(S)f \in C(S) is a real function such that

∫sgfdμ=0 \int _{s} g f d \mu = 0

for every g∈Ag \in A. Prove that ff is then constant on the support of μ\mu. (Compare with Theorem 5.7). Show, by an example, that the conclusion is false if the word "real" is omitted from the hypotheses.

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Problem 3.5.16

Suppose XX is a vector space, E⊂X,T:co⁡(E)→XE \subset X, T: \operatorname {co}(E) \rightarrow X is affine, and T(E)⊂ET(E) \subset E. Prove that T(co⁡(E))⊂co⁡(E)T(\operatorname {co}(E)) \subset \operatorname {co}(E). (This was tacitly used in the proof of Theorem 5.11).

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Problem 3.5.17

If XX and YY are vector spaces and T:X→YT: X \rightarrow Y is affine, prove that T−T(0)T-T(0) is linear.

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Problem 3.5.18

Suppose KK is a compact set in a Fréchet space XX and f:X→Kf: X \rightarrow K is continuous. Prove that ff fixes some point of KK.

Do the same if Ω\Omega is a convex open set in X,Ω⊃KX, \Omega \supset K, and f:Ω→Kf: \Omega \rightarrow K is continuous.

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Problem 3.5.19

Prove the existence of a continuous function ff on I=[0,1]I = [0,1] which satisfies the equation

f(x)=∫01sin⁡(x+f2(t))dt f(x) = \int _{0}^{1} \sin \left(x+f^{2}(t)\right) d t

for all x∈Ix \in I. Hint: Denoting the right side by (Tf)(x)(T f)(x), show that the set {Tf:f∈C(I)}\left\{ T f: f \in C(I)\right\} is uniformly bounded and equicontinuous and that its closure is therefore compact in C(I)C(I). Apply Schauder's fixed point theorem (via Exercise 18).

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