Part 4

Real Analysis

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Problem 4.1.1

Let S⊂[0,1]S \subset [0,1] be the set defined by the property that x∈Sx \in S if and only if in the decimal representation of xx the first appearance of the digit 22 precedes the first appearance of the digit 33. Prove that SS is Lebesgue measurable and find its measure.

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Problem 4.1.2

Define S1=R/ZS^1 = \mathbb {R} / \mathbb {Z} endowed with the natural Lebesgue measure. Consider on S1S^1 the equivalence relation [x]∼[y]  ⟺  x−y∈Q[x] \sim [y] \iff x - y \in \mathbb {Q}, for x,y∈Rx, y \in \mathbb {R} and [⋅][\cdot ] denoting the class in S1S^1. For each ξ∈S1/ ⁣∼\xi \in S^1/\! \sim, choose a representative ξˉ∈S1\bar{\xi } \in S^1, and let E⊂S1E \subset S^1 be the set of these points, i.e.,

E={ξˉ∣ξˉ∈ξ, ∀ξ∈S1/ ⁣∼}. E = \left\{ \bar{\xi } \mid \bar{\xi } \in \xi , \ \forall \xi \in S^1/\! \sim \right\} .

Show that EE is not measurable.

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Problem 4.1.3

Let XX be a set and D⊂P(X)\mathcal{D} \subset \mathcal{P}(X), D\mathcal{D} closed under finite intersection. Denote by R\mathcal{R} the ring generated by D\mathcal{D}. Furthermore, let π\pi be the smallest system, D⊂π⊂P(X)\mathcal{D} \subset \pi \subset \mathcal{P}(X) such that π\pi is closed under the following operations:

  1. finite disjoint unions;

  2. differences A∖BA \setminus B, B⊂AB \subset A. Prove that π=R\pi = \mathcal{R}.

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Problem 4.1.4

Let μ∗\mu^* be the Lebesgue outer measure on R\mathbb {R} and A,BA, B subsets of R\mathbb {R} such that

inf⁡{∣x−y∣∣x∈A,y∈B}>0. \inf \{ \left|x-y\right| \mid x \in A, y \in B\} > 0.

Prove or disprove that

μ∗(A∪B)=μ∗(A)+μ∗(B). \mu ^*(A \cup B) = \mu ^*(A) + \mu ^*(B).
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Problem 4.1.5
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(a)

Consider a measurable space (X,μ)(X, \mu ) with a finite, positive, finitely additive measure μ\mu. Finite additivity means that whenever {Bi}\{ B_i\} is a finite collection of mutually disjoint measurable sets, then μ(⋃Bi)=∑μ(Bi)\mu (\bigcup B_i) = \sum \mu (B_i). Prove that μ\mu is countably additive if and only if it satisfies the following condition: if AnA_n is a decreasing sequence of sets with empty intersection then

lim⁡n→∞μ(An)=0. \lim _{n \to \infty } \mu (A_n) = 0.
(b)

Now suppose XX is a locally compact Hausdorff space, that BB is the Borel σ\sigma-algebra, and that μ\mu is a finite, positive, finitely additive measure on BB. Suppose moreover that μ\mu is regular, that is for each B∈BB \in \mathcal{B},

μ(B)=sup⁡{μ(K)∣K⊂B and K is compact}. \mu (B) = \sup \{ \mu (K) \mid K \subset B \text{ and } K \text{ is compact}\} .

Prove that μ\mu is countably additive.

Problem 4.1.6

For f:[0,1]→Rf : [0,1] \to \mathbb {R}, let E⊂{x∣f′(x) exists}E \subset \{ x \mid f'(x) \text{ exists}\}. If m(E)=0m(E) = 0, show that m(f(E))=0m(f(E)) = 0.

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Problem 4.1.7

Suppose A⊂RA \subset \mathbb {R} is Lebesgue measurable and assume that

m(A∩(a,b))≤b−a2 m(A \cap (a,b)) \leq \frac{b-a}{2}

for any a,b∈Ra, b \in \mathbb {R}, a<ba < b. Prove that m(A)=0m(A) = 0.

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Problem 4.1.8

Choose 0<λ<10 < \lambda < 1 and construct the Cantor set KλK_\lambda as follows: remove from [0,1][0,1] its middle part of length λ\lambda; we are left with two intervals I1I_1 and I2I_2. Remove from each of them their middle parts of lengths λ∣I1∣\lambda \left|I_1\right|, λ∣I2∣\lambda \left|I_2\right|, etc.and keep doing this ad infinitum. We are left with the set KλK_\lambda. Prove that the set KλK_\lambda has Lebesgue measure zero.

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Problem 4.1.9

Suppose μ\mu is a positive Borel measure on R\mathbb {R} such that (i) μ([0,1])=1\mu ([0,1]) = 1, and (ii) μ(E)=μ(x+E)\mu (E) = \mu (x+E) for any Borel set EE of R\mathbb {R} and every x∈Rx \in \mathbb {R}. Does this imply that μ\mu is the Lebesgue measure? Justify your answer.

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Problem 4.1.10

Let U\mathcal{U} be a σ\sigma-algebra of subsets of a set XX and μn:U→R\mu_n : \mathcal{U} \to \mathbb {R} be signed measures such that μ(E)=lim⁡n→∞μn(E)\mu (E) = \lim_{n \to \infty } \mu_n(E) exists for every E∈UE \in \mathcal{U}. Prove that μ\mu is a signed measure.

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Problem 4.1.11

Let λ\lambda be Lebesgue measure on R\mathbb {R}. Show that for any Lebesgue measurable set E⊂RE \subset \mathbb {R} with λ(E)=1\lambda (E) = 1, there is a Lebesgue measurable set A⊂EA \subset E with λ(A)=12\lambda (A) = \frac{1}{2}.

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Problem 4.1.12

Let μ\mu be a complex Borel measure on [0,∞)[0, \infty ). Show that if

∫e−nx dμ(x)=0 \int e^{-nx} \, d\mu (x) = 0

for all n=0,1,2,…n = 0, 1, 2, \ldots, then μ=0\mu = 0.

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Problem 4.1.13

Let A⊂[0,1]A \subset [0,1] be a measurable set of positive measure. Show that there exist two points x′≠x′′x' \neq x'' in AA with x′−x′′x' - x'' rational.

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Problem 4.1.14

Let E={∑n=1∞xn3n∣xn=0 or 1}E = \left\{ \sum_{n=1}^{\infty } \frac{x_n}{3^n} \mid x_n = 0 \text{ or } 1\right\}. Prove that EE is Lebesgue measurable with Lebesgue measure 00. Also show that E+E=[0,1]E + E = [0,1].

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Problem 4.1.15

Let f:R→R+f : \mathbb {R} \to \mathbb {R}^+ be measurable, and let ε>0\varepsilon > 0. Show that there exists g:R→R+g : \mathbb {R} \to \mathbb {R}^+ measurable such that (i) ∥f−g∥∞<ε\left\| f-g\right\|_{\infty } < \varepsilon, (ii) for every r∈Rr \in \mathbb {R}, ∣{x∣g(x)=r}∣=0\left|\{ x \mid g(x) = r\} \right| = 0.

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Problem 4.1.16

Let ff be the function on [0,1][0,1] defined as follows: f(x)=0f(x) = 0 if xx is a point on the Cantor ternary set and f(x)=3−pf(x) = 3^{-p} if xx is in one of the complementary intervals of length 3−p3^{-p}.

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(a)

Prove that ff is measurable.

(b)

Evaluate ∫01f(x) dx\int_0^1 f(x) \, dx.

Problem 4.1.17

Let EE be a Lebesgue measurable subset of R\mathbb {R} with m(E)<∞m(E) < \infty and let

f(x)=m((E+x)∩E). f(x) = m((E+x) \cap E).

Show that

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(a)

f(x)f(x) is a continuous function on R\mathbb {R}.

(b)

lim⁡x→+∞f(x)=0\lim_{x \to +\infty } f(x) = 0.

Problem 4.1.18

Let A⊂RA \subset \mathbb {R} be a set of positive Lebesgue measure. Prove that

φ(x)=∫χA(tx)χA(t) dt \varphi (x) = \int \chi _A(tx) \chi _A(t) \, dt

is continuous at x=1x = 1. Use this result to prove that there exists an ε>0\varepsilon > 0 such that for any m∈Rm \in \mathbb {R} with ∣m−1∣<ε\left|m - 1\right| < \varepsilon, the line y=mxy = mx has a non-void intersection with A×AA \times A.

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Problem 4.1.19

Let μ\mu be a countably additive measure on a set SS with μ(S)<+∞\mu (S) < +\infty that is without atoms, i.e., if AA is a measurable set with μ(A)>0\mu (A) > 0, then there is a measurable set B⊂AB \subset A such that 0<μ(B)<μ(A)0 < \mu (B) < \mu (A). Prove that the range of μ\mu is the closed interval [0,μ(S)][0, \mu (S)].

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Problem 4.1.20

Let XX be a compact Hausdorff space. Consider the σ\sigma-algebra B\mathcal{B} generated by the compact GδG_\delta sets. Show that any positive measure μ\mu on B\mathcal{B} which is finite on compact sets is automatically regular.

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Problem 4.1.21

Suppose that μ\mu is a non-negative Borel measure on Rn\mathbb {R}^n. Let

f(r)=sup⁡{μ(B(x,r))∣x∈Rn}. f(r) = \sup \{ \mu (B(x,r)) \mid x \in \mathbb {R}^n\} .

Assume f(r)f(r) is finite for all r>0r > 0 and assume

lim⁡r→0f(r)rn=0. \lim _{r \to 0} \frac{f(r)}{r^n} = 0.

Prove that μ\mu is identically 00.

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Problem 4.1.22

Let μ\mu be a finite Borel measure defined on Rn\mathbb {R}^n, and define a function ff on Rn\mathbb {R}^n by f(x)=μ(B(x,1))f(x) = \mu (B(x,1)) where B(x,1)B(x,1) denotes the open ball centered at xx of radius 11. Prove that ff attains its minimum on each compact set of Rn\mathbb {R}^n.

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Problem 4.1.23

Let EE be the set of all numbers in [0,1][0,1] which can be written in a decimal expansion with no sevens appearing. Thus,

13=0.333…,27100=0.2699…,28100=0.2800…∈E. \frac{1}{3} = 0.333\ldots , \quad \frac{27}{100} = 0.2699\ldots , \quad \frac{28}{100} = 0.2800\ldots \in E.
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(a)

Compute the Lebesgue measure of EE.

(b)

Determine whether EE is a Borel set.

Problem 4.1.24

Let f:R→Rnf : \mathbb {R} \to \mathbb {R}^n be a function such that for all x,y∈Rx, y \in \mathbb {R}

∣f(x)−f(y)∣n≤c∣x−y∣.(*) \left|f(x) - f(y)\right|^n \leq c \left|x-y\right|. \tag {*}

Show that if E⊂RE \subset \mathbb {R} is a measurable set with m1(E)=0m_1(E) = 0 then mn(f(E))=0m_n(f(E)) = 0.

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Problem 4.1.25

Let f:Rn→Rf : \mathbb {R}^n \to \mathbb {R} be an arbitrary function having the property that for each ε>0\varepsilon > 0, there is an open set UU with λ(U)<ε\lambda (U) < \varepsilon such that ff is continuous on Rn∖U\mathbb {R}^n \setminus U (in the relative topology). Prove that ff is measurable.

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Problem 4.1.26

Let A⊂RA \subset \mathbb {R} be a Lebesgue measurable set and let rA={rx∣x∈A}rA = \{ rx \mid x \in A\} where rr is a real number. Assume that rA=ArA = A for every non-zero rational number rr. Prove that either AA or R∖A\mathbb {R} \setminus A has Lebesgue measure zero.

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Problem 4.1.27

Let μ\mu be a σ\sigma-finite measure on the measure space (X,m)(X, \mathfrak {m}). Prove that there exists a probability measure ν\nu on (X,m)(X, \mathfrak {m}) (ν(X)=1\nu (X) = 1) such that μ\mu is absolutely continuous with respect to ν\nu, and ν\nu is absolutely continuous with respect to μ\mu.

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Problem 4.1.28

Give an example of first category subset of [0,1][0,1] which is of Lebesgue measure 11.

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Problem 4.1.29

Let (X,X,μ)(X, \mathfrak {X}, \mu ) be a measure space and suppose (fn:X→C)(f_n : X \to \mathbb {C}) is a sequence of measurable functions with the property that for all n≥1n \geq 1 and all λ>0\lambda > 0,

μ({x∈X:∣fn(x)∣>λ})≤ce−λ2/n \mu (\{ x \in X : \left|f_n(x)\right| > \lambda \} ) \leq c e^{-\lambda ^2/n}

where cc is a constant independent of nn. Let nk=2kn_k = 2^k. Prove that

lim‾⁡k→∞∣fnk∣nklog⁡log⁡nk≤1,a.e. \varlimsup _{k \to \infty } \frac{\left|f_{n_k}\right|}{\sqrt{n_k \log \log n_k}} \leq 1, \quad \text{a.e.}
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Problem 4.1.30
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(a)

Let (X,F,μ)(X, \mathcal{F}, \mu ) be a finite measure space. Let fnf_n be a sequence of measurable functions. Prove that fn→ff_n \to f in measure if and only if every subsequence {fnk}\{ f_{n_k}\} contains a further subsequence {fnkj}\{ f_{n_{k_j}}\} that converges almost everywhere to ff.

(b)

Let (X,F,μ)(X, \mathcal{F}, \mu ) be a finite measure space. Let F:R→RF : \mathbb {R} \to \mathbb {R} be a continuous function and fn→ff_n \to f in measure. Prove that F(fn)→F(f)F(f_n) \to F(f) in measure. (You may assume, of course, that fn,f,F(fn)f_n, f, F(f_n) and F(f)F(f) are all measurable.)

Problem 4.1.31

Let f∈L1[0,1]f \in L^1[0,1] and let g(x)=∫0xf(t) dtg(x) = \int_0^x f(t) \, dt. If EE is a measurable subset of [0,1][0,1], show that (i) g(E)={y:∃x∈E with y=g(x)}g(E) = \{ y : \exists x \in E \text{ with } y = g(x)\} is measurable, (ii) m(g(E))≤∫E∣f(t)∣ dtm(g(E)) \leq \int_E \left|f(t)\right| \, dt.

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Problem 4.1.32

Given a function f:R→Zf : \mathbb {R} \to \mathbb {Z}, show that {x:f is not continuous at x}\{ x : f \text{ is not continuous at } x\} is a Borel set.

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Problem 4.1.33

Let AA and BB be (not necessarily Lebesgue measurable) subsets of R\mathbb {R} and let ∣⋅∣e\left|\cdot \right|_e stand for Lebesgue outer measure. Prove that if ∣A∣e=1\left|A\right|_e = 1 and ∣B∣e=1\left|B\right|_e = 1 and ∣A∪B∣e=2\left|A \cup B\right|_e = 2 then ∣A∩B∣e=0\left|A \cap B\right|_e = 0.

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Problem 4.1.34

Let ff be a bounded Lebesgue measurable function on R\mathbb {R}. Put

g(x)=sup⁡{a∈R:∣{y∈(x,x+1)∣f(y)>a}∣>0}, g(x) = \sup \{ a \in \mathbb {R} : \left|\{ y \in (x, x+1) \mid f(y) > a\} \right| > 0\} ,

where ∣⋅∣\left|\cdot \right| is the Lebesgue measure (i.e., g(x)g(x) equals the essential supremum of ff over (x,x+1)(x, x+1)). Prove lim‾⁡x→0g(x)≥g(0)\varliminf_{x \to 0} g(x) \geq g(0).

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Problem 4.1.35
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(a)

Prove that a continuous function T:Rn→RnT : \mathbb {R}^n \to \mathbb {R}^n maps sets FσF_\sigma into sets FσF_\sigma.

(b)

Prove that a Lipschitz map T:Rn→RnT : \mathbb {R}^n \to \mathbb {R}^n, i.e., a map satisfying ∣T(x)−T(y)∣≤L∣x−y∣\left|T(x) - T(y)\right| \leq L\left|x-y\right| for every x,y∈Rnx, y \in \mathbb {R}^n, and for some L>0L > 0, maps measurable sets into measurable sets. You can take for granted here that a Lipschitz map preserves sets of measure zero.

Problem 4.1.36

Show that if E⊂RE \subset \mathbb {R} and if ∣⋅∣e\left|\cdot \right|_e stands for outer measure then

∣E∣e=∑n=−∞+∞∣E∩[n,n+1)∣e. \left|E\right|_e = \sum _{n=-\infty }^{+\infty } \left|E \cap [n, n+1)\right|_e.

Also prove that if OiO_i, i≥1i \geq 1, are open subsets of R\mathbb {R} satisfying ⋃i=1∞Oi=R\bigcup_{i=1}^{\infty } O_i = \mathbb {R} then

∣E∣e≤∑i=1∞∣E∩Oi∣e. \left|E\right|_e \leq \sum _{i=1}^{\infty } \left|E \cap O_i\right|_e.
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Problem 4.1.37

If ν\nu and μ\mu are measures on a measurable space (X,M)(X, \mathcal{M}), we say that ν≤μ\nu \leq \mu if ν(A)≤μ(A)\nu (A) \leq \mu (A) for all A∈MA \in \mathcal{M}. Assume that (νn)(\nu_n) is a sequence of measures on (X,M)(X, \mathcal{M}) such that ν1≤ν2≤⋯\nu_1 \leq \nu_2 \leq \cdots. Define ν(A)=lim⁡n→∞νn(A)\nu (A) = \lim_{n \to \infty } \nu_n(A), A∈MA \in \mathcal{M}.

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(a)

Show that ν\nu defines a measure.

(b)

Assume there exists a measure μ\mu so that for each nn, νn≪μ\nu_n \ll \mu. Show that ν≪μ\nu \ll \mu also and dνndμ→dνdμ\frac{d\nu_n}{d\mu } \to \frac{d\nu }{d\mu }, μ\mu-a.e.

Here ν≪μ\nu \ll \mu means that if μ(A)=0\mu (A) = 0 then ν(A)=0\nu (A) = 0 for all measurable set AA.

Problem 4.1.38

Define f:[0,1]→Rf : [0,1] \to \mathbb {R} as follows: if x∈[0,1]x \in [0,1] has decimal expansion x=0.a1a2a3⋯x = 0.a_1a_2a_3\cdots then f(x)=max⁡kakf(x) = \max_k a_k. Prove that the function ff is measurable.

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Problem 4.1.39

Let mm and μ\mu be, respectively, the Lebesgue measure and the counting measure on the Borel σ\sigma-algebra on [0,1][0,1].

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(a)

Show that m≪μm \ll \mu but dm≠f dμdm \neq f \, d\mu for any ff.

(b)

State the Lebesgue--Radon--Nikodym Theorem for signed measures, and explain why part (a) is not a counter-example!

Problem 4.2.1

Prove or disprove that the composition of any two Lebesgue integrable functions with compact support f,g:R→Rf, g : \mathbb {R} \to \mathbb {R} is still integrable.

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Problem 4.2.2

Let f∈L1(0,1)f \in L^1(0,1). Assume that for any x∈(0,1)x \in (0,1) and every ε>0\varepsilon > 0, there is an open interval Jx⊂(0,1)J_x \subset (0,1) such that

x∈Jx,m(Jx)<ε,and∫Jxf dm=0. x \in J_x, \qquad m(J_x) < \varepsilon , \qquad \text{and} \qquad \int _{J_x} f \, dm = 0.

Prove that for every open interval I⊂(0,1)I \subset (0,1)

∫If dm=0. \int _I f \, dm = 0.
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Problem 4.2.3

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a positive measure space with μ(X)<∞\mu (X) < \infty. Show that a measurable function f:X→[0,∞)f : X \to [0,\infty ) is integrable (i.e., one has ∫Xf dμ<∞\int_X f \, d\mu < \infty) if and only if the series

∑n=0∞μ({x∣f(x)>n}) \sum _{n=0}^{\infty } \mu (\{ x \mid f(x) > n\} )

converges.

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Problem 4.2.4
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(a)

Is there a Borel measure μ\mu (positive or complex) on R\mathbb {R} with the property that

∫f dμ=f(0) \int f \, d\mu = f(0)

for all continuous f:R→Cf : \mathbb {R} \to \mathbb {C} of compact support? Justify.

(b)

Is there a Borel measure μ\mu (positive or complex) on R\mathbb {R} with the property that

∫f dμ=f′(0) \int f \, d\mu = f'(0)

for all continuously differentiable f:R→Cf : \mathbb {R} \to \mathbb {C} of compact support? Justify.

Problem 4.2.5

Let EE be a Banach space, (X,π,μ)(X, \pi , \mu ) a probability space, and f:X→Ef : X \to E such that g∘fg \circ f is μ\mu-integrable for every g∈E′g \in E'.

Define

L:E′→C,L(g)=∫Xg∘f dμ. L : E' \to \mathbb {C}, \qquad L(g) = \int _X g \circ f \, d\mu .

Does L∈E′′L \in E''? Justify your answer.

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Problem 4.2.6

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a positive measure space with μ(X)<∞\mu (X) < \infty, and let ff and gg be real-valued measurable functions with

∫Xf dμ=∫Xg dμ. \int _X f \, d\mu = \int _X g \, d\mu .

Show that either (a) f=gf = g a.e., or (b) there exists an E∈ME \in \mathcal{M} such that

∫Ef dμ>∫Eg dμ. \int _E f \, d\mu > \int _E g \, d\mu .
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Problem 4.2.7

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a positive measure space, and SS a closed set in C\mathbb {C}. Suppose that

1μ(E)∫Ef dμ∈S \frac{1}{\mu (E)} \int _E f \, d\mu \in S

whenever E∈ME \in \mathcal{M} and μ(E)>0\mu (E) > 0. Show that {x∈X∣f(x)∉S}\{ x \in X \mid f(x) \notin S\} has measure 00.

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Problem 4.2.8

Let f:[0,1]→(0,∞)f : [0,1] \to (0,\infty ) and let 0<α<10 < \alpha < 1. Show that

inf⁡m(E)≥α∫Ef>0 \inf _{m(E) \geq \alpha } \int _E f > 0

where inf⁡\inf is extended over all measurable E⊂[0,1]E \subset [0,1] with m(E)≥αm(E) \geq \alpha.

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Problem 4.2.9

Let {fn}\{ f_n\} be a sequence of real-valued functions in L1(R)L^1(\mathbb {R}) and suppose that for some f∈L1(R)f \in L^1(\mathbb {R})

∫−∞+∞∣fn+1−fn∣(t) dt<1n2,n≥1. \int _{-\infty }^{+\infty } \left|f_{n+1} - f_n\right|(t) \, dt < \frac{1}{n^2}, \qquad n \geq 1.

Prove that fn→ff_n \to f almost everywhere with respect to Lebesgue measure.

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Problem 4.2.10

Let μ\mu be a finite measure on R\mathbb {R}, and define

f(x)=∫Rln⁡∣x−t∣∣x−t∣1/2 dμ(t),x∈R. f(x) = \int _{\mathbb {R}} \frac{\ln \left|x-t\right|}{\left|x-t\right|^{1/2}} \, d\mu (t), \qquad x \in \mathbb {R}.

Show that f(x)f(x) is finite a.e.with respect to the Lebesgue measure on R\mathbb {R}.

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Problem 4.2.11

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a positive measure space, fn:X→[0,∞]f_n : X \to [0,\infty ] a sequence of integrable functions, and f:X→[0,∞]f : X \to [0,\infty ] an integrable function. Suppose that fn→ff_n \to f a.e.[μ][\mu ], and that

lim⁡n→∞∫Xfn dμ=∫Xf dμ. \lim _{n \to \infty } \int _X f_n \, d\mu = \int _X f \, d\mu .

Prove that

lim⁡n→∞∫X∣fn−f∣ dμ=0. \lim _{n \to \infty } \int _X \left|f_n - f\right| \, d\mu = 0.
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Problem 4.2.12

Let μ\mu be a σ\sigma-finite, positive measure on a σ\sigma-algebra M\mathcal{M} in a set XX.

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(a)

Show that there exists W∈L1(μ)W \in L^1(\mu ) which takes its values in the open interval (0,1)(0,1). Show also that

μ~(E)=∫EW dμ \tilde{\mu }(E) = \int _E W \, d\mu

is a positive, finite measure on M\mathcal{M}, and that

μ(E)=0  ⟺  μ~(E)=0 \mu (E) = 0 \iff \tilde{\mu }(E) = 0

for E∈ME \in \mathcal{M}.

(b)

Show that if ff is a complex function on XX which is measurable with respect to M\mathcal{M}, then

∫Xf dμ=∫XfW dμ~. \int _X f \, d\mu = \int _X f W \, d\tilde{\mu }.
Problem 4.2.13

Let mm denote the Lebesgue measure on [0,1][0,1] and let (fn)(f_n) be a sequence in L1(m)L^1(m) and hh a non-negative element of L1(m)L^1(m). Suppose that

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(a)

∫fng dm→0\int f_n g \, dm \to 0 for each g∈C([0,1])g \in C([0,1]) and

(b)

∣fn∣≤h\left|f_n\right| \leq h for all nn.

Show that

lim⁡n→∞∫Afn dm=0 \lim _{n \to \infty } \int _A f_n \, dm = 0

for each Borel subset A⊂[0,1]A \subset [0,1].

Problem 4.2.14

Let {fn}\{ f_n\} be a sequence of non-negative measurable functions in Lp(R)L^p(\mathbb {R}) for some 1≤p<∞1 \leq p < \infty. Show that fn→ff_n \to f (Lp)(L^p) if and only if fnp→fpf_n^p \to f^p (L1)(L^1).

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Problem 4.2.15

Let 1≤p<∞1 \leq p < \infty. All parts refer to Lebesgue measure on R\mathbb {R}.

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(a)

Give an example where {fn}\{ f_n\} converges to ff pointwise, ∥fn∥p≤M\left\| f_n\right\|_{p} \leq M, ∀n\forall n, and ∥fn−f∥p↛0\left\| f_n - f\right\|_{p} \not\to 0.

(b)

If {fn}\{ f_n\} converges to ff pointwise and ∥fn∥p→M<+∞\left\| f_n\right\|_{p} \to M < +\infty, what can you conclude about ∫∣f∣p\int \left|f\right|^p? Justify this conclusion.

(c)

Show that if {fn}\{ f_n\} converges to ff pointwise and ∥fn∥p→∥f∥p\left\| f_n\right\|_{p} \to \left\| f\right\|_{p}, then ∥fn−f∥p→0\left\| f_n - f\right\|_{p} \to 0.

Problem 4.2.16

Suppose fnf_n is a sequence of measurable functions on [0,1][0,1] with fn→0f_n \to 0 a.e.on [0,1][0,1] and ∫01fn2 dm≤1\int_0^1 f_n^2 \, dm \leq 1 for all nn. Prove

lim⁡n→∞∫01∣fn∣1/2 dm=0. \lim _{n \to \infty } \int _0^1 \left|f_n\right|^{1/2} \, dm = 0.
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Problem 4.2.17

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a probability space (a positive measure space with μ(X)=1\mu (X) = 1). Show that if ff is an integrable function with values in [1,∞)[1, \infty ), then

lim⁡n→∞n∫X(f1/n−1) dμ=∫Xlog⁡f dμ. \lim _{n \to \infty } n \int _X \bigl(f^{1/n} - 1\bigr) \, d\mu = \int _X \log f \, d\mu .
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Problem 4.2.18

Let {an}n≥2\{ a_n\}_{n \geq 2} be a sequence of real numbers with ∣an∣≤log⁡n\left|a_n\right| \leq \log n. Consider

∑n=2∞ann−x,2≤x<∞. \sum _{n=2}^{\infty } a_n n^{-x}, \qquad \sqrt{2} \leq x < \infty .
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(a)

Prove that this series converges in L1[2,∞)L^1[\sqrt{2}, \infty ).

(b)

Prove that

∫2∞∑n=2∞ann−x dx=∑n=2∞∫2∞ann−x dx, \int _{\sqrt{2}}^{\infty } \sum _{n=2}^{\infty } a_n n^{-x} \, dx = \sum _{n=2}^{\infty } \int _{\sqrt{2}}^{\infty } a_n n^{-x} \, dx,

where the sum on the right is the pointwise limit (you need not prove that this pointwise limit exists).

Problem 4.2.19

Let SS be a bounded Lebesgue measurable set in R\mathbb {R}, and let {cn}\{ c_n\} be a sequence in R\mathbb {R}. Show that

lim⁡n→∞∫Scos⁡2(nt+cn) dλ(t)=12λ(S) \lim _{n \to \infty } \int _S \cos ^2(nt + c_n) \, d\lambda (t) = \frac{1}{2} \lambda (S)

where λ\lambda is Lebesgue measure.

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Problem 4.2.20
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(a)

Is the function

f(x,y) = \begin{cases} \dfrac {x^2 - y^2}{(x^2+y^2)^2}, & (x,y) \neq (0,0), \\ ]1ex] 0, & (x,y) = (0,0), \end{cases} \[ Lebesgue integrable on the unit square $0 \leq x \leq 1$, $0 \leq y \leq 1$? \]
(b)

Compute the repeated integrals in the two orders.

(c)

Does the integral

∫01(∫01∣f(x,y)∣ dx)dy \int _0^1 \left(\int _0^1 \left|f(x,y)\right| \, dx\right) dy

exist? (If you use a theorem, be explicit!)

Problem 4.2.21

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a measure space and f∈L(μ)f \in L(\mu ). Evaluate

lim⁡n→∞∫Xnln⁡(1+(fn)2)dμ. \lim _{n \to \infty } \int _X n \ln \left(1 + \left(\frac{f}{n}\right)^2\right) d\mu .
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Problem 4.2.22

Suppose that ff is a measurable real valued function on R\mathbb {R} such that t↦etxf(t)t \mapsto e^{tx} f(t) is in L1(R)L^1(\mathbb {R}) for all x∈(−1,1)x \in (-1,1). Define the function

φ(x)=∫−∞+∞etxf(t) dt \varphi (x) = \int _{-\infty }^{+\infty } e^{tx} f(t) \, dt

for all x∈(−1,1)x \in (-1,1). Prove that φ\varphi is differentiable on (−1,1)(-1,1).

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Problem 4.2.23

Evaluate

lim⁡n→∞∫0n(1+xn)ne−2x dx, \lim _{n \to \infty } \int _0^n \left(1 + \frac{x}{n}\right)^n e^{-2x} \, dx,

justifying any interchange of limits you use.

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Problem 4.2.24

Let (X,A,μ)(X, \mathcal{A}, \mu ) be a probability space and f:X→[1,∞)f : X \to [1,\infty ) a measurable function. Prove or disprove:

∫Xfln⁡f dμ≥∫Xf dμ∫Xln⁡f dμ. \int _X f \ln f \, d\mu \geq \int _X f \, d\mu \int _X \ln f \, d\mu .
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Problem 4.2.25

For i=1,2i = 1,2, let Xi=NX_i = \mathbb {N}, let Mi=2N\mathcal{M}_i = 2^{\mathbb {N}} (the σ\sigma-algebras of all subsets of N\mathbb {N}) and let μi\mu_i be the counting measure. For the function f:X1×X2→Rf : X_1 \times X_2 \to \mathbb {R} defined by

f(i,j)={−2−i,j=i,2−i,j=i+1,0,otherwise, f(i,j) = \begin{cases} -2^{-i}, & j = i, \\ 2^{-i}, & j = i+1, \\ 0, & \text{otherwise}, \end{cases}

compute the iterated integrals

∫X1(∫X2f dμ2)dμ1and∫X2(∫X1f dμ1)dμ2. \int _{X_1} \left(\int _{X_2} f \, d\mu _2\right) d\mu _1 \qquad \text{and} \qquad \int _{X_2} \left(\int _{X_1} f \, d\mu _1\right) d\mu _2.

How do you reconcile your answers with Fubini's Theorem?

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Problem 4.2.26

Let (Ω,μ)(\Omega , \mu ) be any measure space. For f∈L1(Ω,μ)f \in L^1(\Omega , \mu ), and for λ>0\lambda > 0 define

φ(λ)=μ({x∈Ω∣f(x)>λ}) \varphi (\lambda ) = \mu (\{ x \in \Omega \mid f(x) > \lambda \} )

and

ψ(λ)=μ({x∈Ω∣f(x)>−λ}). \psi (\lambda ) = \mu (\{ x \in \Omega \mid f(x) > -\lambda \} ).

Show that the functions φ\varphi and ψ\psi are Borel measurable and that

∥f∥1=∫0∞(φ(λ)+ψ(λ)) dλ. \left\| f\right\| _{1} = \int _0^{\infty } \bigl(\varphi (\lambda ) + \psi (\lambda )\bigr) \, d\lambda .
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Problem 4.2.27

Let f∈L2(0,1)f \in L^2(0,1). Set

F(x)=∫0xf(t) dt. F(x) = \int _0^x f(t) \, dt.

Show that

(∫01−h∣F(x+h)−F(x)h∣2dx)1/2≤c∥f∥2 \left( \int _0^{1-h} \left| \frac{F(x+h) - F(x)}{h} \right|^2 dx \right)^{1/2} \leq c \left\| f\right\| _{2}

for each hh, 0<h<10 < h < 1, where cc is a positive number independent of ff.

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Problem 4.2.28

Let f,g∈L1([0,1])f, g \in L^1([0,1]) and assume that f(x)g(y)=f(y)g(x)f(x)g(y) = f(y)g(x) for all x,y∈[0,1]x, y \in [0,1]. Show that

∫01∫01f(x)g(y) dx dy=2∫Af(x)g(y) dA, \int _0^1 \int _0^1 f(x) g(y) \, dx \, dy = 2 \int _A f(x) g(y) \, dA,

where

A={(x,y)∣0≤x≤y≤1} A = \{ (x,y) \mid 0 \leq x \leq y \leq 1\}

and dAdA denotes the planar Lebesgue measure.

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Problem 4.2.29

Give an example of a Baire-1 function which is not Riemann integrable. Explain why such a function would have to be Lebesgue integrable.

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Problem 4.2.30

Let (Ω,A,μ)(\Omega , \mathcal{A}, \mu ) be a σ\sigma-finite measure space, f:Ω→Rf : \Omega \to \mathbb {R} measurable. Suppose there is a c∈Rc \in \mathbb {R} such that for all X⊂ΩX \subset \Omega of finite measure ∣∫Xf dμ∣≤c\left|\int_X f \, d\mu \right| \leq c holds. Prove that f∈L1(Ω,A,μ)f \in L^1(\Omega , \mathcal{A}, \mu ).

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Problem 4.2.31

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a measure space. Two functions f,g:X→Rf, g : X \to \mathbb {R} are said to be comonotone if

(f(x)−f(y))(g(x)−g(y))≥0 (f(x) - f(y))(g(x) - g(y)) \geq 0

for every (x,y)∈X×X(x,y) \in X \times X. If μ(X)=1\mu (X) = 1 and f,g∈L1(μ)f, g \in L^1(\mu ) are comonotone, show that

∫Xf dμ∫Xg dμ≤∫Xfg dμ. \int _X f \, d\mu \int _X g \, d\mu \leq \int _X fg \, d\mu .
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Problem 4.2.32

Let f:R+→R+f : \mathbb {R}^+ \to \mathbb {R}^+, R+={x∈R:x>0}\mathbb {R}^+ = \{ x \in \mathbb {R} : x > 0\}. Assume that f∈L1(R+)f \in L^1(\mathbb {R}^+) satisfies

f(x)≤c∫0xf(t) dt:x>0 f(x) \leq c \int _0^x f(t) \, dt : x > 0

with cc independent of xx. Show that f(x)=0f(x) = 0 for every x∈R+x \in \mathbb {R}^+.

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Problem 4.2.33

Show that the following limit exists

lim⁡n→∞n∫1/n1cos⁡(x+1/n)−cos⁡xx3/2 dx. \lim _{n \to \infty } n \int _{1/n}^{1} \frac{\cos (x + 1/n) - \cos x}{x^{3/2}} \, dx.
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Problem 4.2.34

A Lebesgue integrable function f:R→Rf : \mathbb {R} \to \mathbb {R} has the property that

∫Ef(x) dx=0 \int _E f(x) \, dx = 0

for all Lebesgue measurable sets E⊂RE \subset \mathbb {R} with m(E)=πm(E) = \pi. Prove or disprove that f=0f = 0 a.e.

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Problem 4.2.35

Prove that the following limit exists

lim⁡n→∞∫0∞exp⁡(−x)cos⁡xnx2+1n dx, \lim _{n \to \infty } \int _0^{\infty } \frac{\exp (-x) \cos x}{nx^2 + \frac{1}{n}} \, dx,

and find it, justifying all your steps.

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Problem 4.2.36

Let (X,X,μ)(X, \mathcal{X}, \mu ) be a measure space and let fk:X→Rf_k : X \to \mathbb {R} be a sequence of measurable functions on it satisfying

∫Xfk2 dμ≤c,for all k, \int _X f_k^2 \, d\mu \leq c, \qquad \text{for all } k,

where cc is a finite constant independent of kk, and

∫Xfjfk dμ=0,for all j≠k. \int _X f_j f_k \, d\mu = 0, \qquad \text{for all } j \neq k.

For each n=1,2,…n = 1, 2, \ldots, set gn=∑k=1nfkg_n = \sum_{k=1}^{n} f_k. Prove that

lim⁡n→∞gn2nα=0,a.e. \lim _{n \to \infty } \frac{g_n^2}{n^{\alpha }} = 0, \quad \text{a.e.}

for all α>3/2\alpha > 3/2.

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Problem 4.2.37
?
(a)

Let f∈L1(0,∞)f \in L^1(0,\infty ). Prove that there exists a sequence xkx_k increasing to ∞\infty such that lim⁡k→∞xkf(xk)=0\lim_{k \to \infty } x_k f(x_k) = 0.

(b)

Let f∈L1(Rn)f \in L^1(\mathbb {R}^n) with n≥2n \geq 2. Prove that there exists a sequence rkr_k increasing to ∞\infty such that lim⁡k→∞rk∫S(rk)∣f∣ dσ=0\lim_{k \to \infty } r_k \int_{S(r_k)} \left|f\right| \, d\sigma = 0, where S(r)={x∈Rn:∣x∣=r}S(r) = \{ x \in \mathbb {R}^n : \left|x\right| = r\}, and dσd\sigma represents the (n−1)(n-1)-dimensional Lebesgue measure on the sphere S(r)S(r).

Problem 4.2.38

Let (S,Ω,m)(S, \Omega , m) be a measure space satisfying m(S)<∞m(S) < \infty. Let f:S→Rf : S \to \mathbb {R} be a measurable function satisfying ∣f∣≤1\left|f\right| \leq 1. Prove that either lim⁡n→∞∫S(1+f+f2+⋯+fn) dm\lim_{n \to \infty } \int_S (1 + f + f^2 + \cdots + f^n) \, dm exists or that this limit is +∞+\infty.

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Problem 4.2.39

If {rk}\{ r_k\} denotes the rational numbers in [0,1][0,1] and {ak}\{ a_k\} satisfies ∑k=1∞∣ak∣<∞\sum_{k=1}^{\infty } \left|a_k\right| < \infty, prove that ∑k=1∞ak∣x−rk∣1/2\sum_{k=1}^{\infty } \dfrac {a_k}{\left|x-r_k\right|^{1/2}} converges absolutely a.e.[0,1][0,1].

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Problem 4.2.40

Prove that the series

∑n=0∞∫0π/2(sin⁡x)ncos⁡x dx \sum _{n=0}^{\infty } \int _0^{\pi /2} (\sin x)^n \cos x \, dx

is summable and find its sum.

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Problem 4.2.41

Let {an,k∣n,k=1,2,…}⊂R\{ a_{n,k} \mid n, k = 1, 2, \ldots \} \subset \mathbb {R} with ∣an,k∣≤1\left|a_{n,k}\right| \leq 1 for n,k≥1n, k \geq 1. Assume that for each nn, lim⁡k→∞an,k=0\lim_{k \to \infty } a_{n,k} = 0. Let p>1p > 1. Show that lim⁡k→∞∑n=1∞an,knp=0\lim_{k \to \infty } \sum_{n=1}^{\infty } \dfrac {a_{n,k}}{n^p} = 0.

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Problem 4.2.42

Prove that if ff and gg are positive continuous functions on (−∞,+∞)(-\infty , +\infty ) which are periodic of period 11 that

lim⁡n→∞∫01f(x)g(nx) dx=∫01f(x) dx∫01g(x) dx. \lim _{n \to \infty } \int _0^1 f(x) g(nx) \, dx = \int _0^1 f(x) \, dx \int _0^1 g(x) \, dx.
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Problem 4.2.43

Given functions {fn:[0,1]→[−1,1]}\{ f_n : [0,1] \to [-1,1]\} such that lim⁡n→∞∫abfn(x) dx=0\lim_{n \to \infty } \int_a^b f_n(x) \, dx = 0 for all 0≤a<b≤10 \leq a < b \leq 1, show that

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(a)

for every Lebesgue measurable subset A⊂[0,1]A \subset [0,1], lim⁡n→∞∫Afn(x) dx=0\lim_{n \to \infty } \int_A f_n(x) \, dx = 0;

(b)

for every Lebesgue measurable ff on [0,1][0,1] such that ∫01∣f(x)∣ dx<∞\int_0^1 \left|f(x)\right| \, dx < \infty, lim⁡n→∞∫01ffn dx=0\lim_{n \to \infty } \int_0^1 f f_n \, dx = 0.

Problem 4.2.44

Let ff be a Lebesgue integrable function on R2\mathbb {R}^2, that is ∫R2∣f(x)∣ dx<∞\int_{\mathbb {R}^2} \left|f(x)\right| \, dx < \infty. Assume that ∫Bf(x) dx=0\int_B f(x) \, dx = 0 for all square subsets B⊂R2B \subset \mathbb {R}^2. Prove that f(x)=0f(x) = 0 almost everywhere.

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Problem 4.2.45

Let f∈L1[0,1]f \in L^1[0,1] and ε>0\varepsilon > 0. Prove the existence of a compact set KK and a polynomial pp such that the Lebesgue measure of KK exceeds 1−ε1 - \varepsilon and

∣f(x)−p(x)∣<ε:∀x∈K. \left|f(x) - p(x)\right| < \varepsilon : \forall x \in K.
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Problem 4.2.46

Assume that fn≤gn≤hnf_n \leq g_n \leq h_n are real-valued Lebesgue integrable functions converging almost everywhere to Lebesgue integrable functions f,gf, g and hh respectively. Assume that lim⁡n→∞∫fn(x) dx=∫f(x) dx\lim_{n \to \infty } \int f_n(x) \, dx = \int f(x) \, dx and lim⁡n→∞∫hn(x) dx=∫h(x) dx\lim_{n \to \infty } \int h_n(x) \, dx = \int h(x) \, dx. Prove that lim⁡n→∞∫gn(x) dx=∫g(x) dx\lim_{n \to \infty } \int g_n(x) \, dx = \int g(x) \, dx.

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Problem 4.2.47

Let fn:[0,1]→[0,∞)f_n : [0,1] \to [0,\infty ) be Lebesgue integrable for n=1,2,…n = 1, 2, \ldots. Assume that

∫01fn(x) dx=1,∫1/n1fn(x) dx≤1−1n,n≥1. \int _0^1 f_n(x) \, dx = 1, \qquad \int _{1/n}^1 f_n(x) \, dx \leq 1 - \frac{1}{n}, \quad n \geq 1.

Let g(x)=sup⁡{fn(x):n≥1}g(x) = \sup \{ f_n(x) : n \geq 1\}. Prove that ∫01g(x) dx=∞\int_0^1 g(x) \, dx = \infty.

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Problem 4.2.48

Let λ\lambda be Lebesgue measure and μ\mu be counting measure both regarded as Borel measures on I=[0,1]I = [0,1]. Let Δ={(x,x)∣x∈I}\Delta = \{ (x,x) \mid x \in I\}, the diagonal of I×II \times I.

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(a)

Show that Δ\Delta is a Borel subset of I×II \times I.

(b)

Let ff be the characteristic function of the diagonal Δ\Delta. Compute the integrals ∫I(∫If dλ)dμ\int_I \bigl(\int_I f \, d\lambda \bigr) d\mu and ∫I(∫If dμ)dλ\int_I \bigl(\int_I f \, d\mu \bigr) d\lambda.

(c)

Explain why the result of part (b) does not contradict Fubini's Theorem. As part of the explanation, you should compute the double integral ∫I×If d(μ×λ)\int_{I \times I} f \, d(\mu \times \lambda ).

Problem 4.3.1

Let XX be a positive measure space of total measure 11. Show that for any [0,∞)[0,\infty )-valued measurable function ff on XX,

I(p):=(∫Xfp)1/p I(p) := \left(\int _X f^p\right)^{1/p}

is a non-decreasing function of p∈(1,∞)p \in (1,\infty ). Under what circumstances is I(p)I(p) strictly increasing as a function of pp?

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Problem 4.3.2

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a fixed measure space, let {pi}i=1n\{ p_i\}_{i=1}^{n} be positive numbers such that pi>1p_i > 1, i=1,…,ni = 1, \ldots , n, p>1p > 1 and

∑i=1n1pi=1p. \sum _{i=1}^{n} \frac{1}{p_i} = \frac{1}{p}.

If, for i∈{1,…,n}i \in \{ 1, \ldots , n\}, fi∈Lpi(μ)f_i \in L^{p_i}(\mu ), must it be the case that

f1f2⋯fn∈Lp(μ)? f_1 f_2 \cdots f_n \in L^p(\mu )?

Justify.

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Problem 4.3.3

Let X={a,b,c}X = \{ a,b,c\}, let M\mathcal{M} be the σ\sigma-algebra of all subsets of XX, and let μ\mu be the measure determined by μ({a})=0\mu (\{ a\} ) = 0, μ({b})=1\mu (\{ b\} ) = 1 and μ({c})=∞\mu (\{ c\} ) = \infty. What are the dimensions of the vector spaces L1(μ)L^1(\mu ), L2(μ)L^2(\mu ), and L∞(μ)L^{\infty }(\mu )? Justify your answers.

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Problem 4.3.4

Let f,g∈L2([0,1])f, g \in L^2([0,1]),

∫01f dm=0. \int _0^1 f \, dm = 0.

Show that

(∫01fg dm)2≤(∫01f2 dm)(∫01g2 dm−(∫01g dm)2). \left(\int _0^1 fg \, dm\right)^2 \leq \left(\int _0^1 f^2 \, dm\right) \left(\int _0^1 g^2 \, dm - \left(\int _0^1 g \, dm\right)^2\right).
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Problem 4.3.5

Let ff be a non-negative function in Lp(R)L^p(\mathbb {R}) for some 1≤p<∞1 \leq p < \infty and let r+s=pr+s = p, r>0r > 0, s>0s > 0. Also let fh(x)=f(x+h)f_h(x) = f(x+h).

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(a)

Show that fhrfs∈L1(R)f_h^r f^s \in L^1(\mathbb {R}).

(b)

Investigate what happens to ∥fhrfs∥1\left\| f_h^r f^s\right\|_{1} as ∣h∣→∞\left|h\right| \to \infty.

Problem 4.3.6

Let f:R→R+f : \mathbb {R} \to \mathbb {R}_+ be measurable, and let 0<r<∞0 < r < \infty. Show that for any interval II,

11∣I∣∫If≤(1∣I∣∫I1fr)1/r. \frac{1}{\frac{1}{\left|I\right|} \int _I f} \leq \left(\frac{1}{\left|I\right|} \int _I \frac{1}{f^r}\right)^{1/r}.
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Problem 4.3.7

Let ff be a bounded measurable function on (0,1)(0,1). Prove that

lim⁡p→∞(∫01∣f(x)∣p dx)1/p=∥f∥∞, \lim _{p \to \infty } \left(\int _0^1 \left|f(x)\right|^p \, dx\right)^{1/p} = \left\| f\right\| _{\infty },

where

∥f∥∞=inf⁡{t∣m({∣f∣>t})=0}. \left\| f\right\| _{\infty } = \inf \{ t \mid m(\{ \left|f\right| > t\} ) = 0\} .
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Problem 4.3.8

Let ff be a non-negative measurable function on [0,1][0,1] satisfying

m({x∣f(x)>t})≤11+t2,t>0. m(\{ x \mid f(x) > t\} ) \leq \frac{1}{1+t^2}, \qquad t > 0.

Determine those values of pp, 1≤p<∞1 \leq p < \infty, for which f∈Lpf \in L^p and find the minimum value of pp for which ff may fail to be in LpL^p.

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Problem 4.3.9

With Lebesgue measure on [0,1][0,1], prove that

S={f∈C[0,1]∣∥f∥∞≤1} S = \{ f \in C[0,1] \mid \left\| f\right\| _{\infty } \leq 1\}

is not compact in L1[0,1]L^1[0,1].

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Problem 4.3.10

Let H\mathcal{H} be Hilbert space L2(0,2π)L^2(0,2\pi ), with inner product defined by

(u,v)=∫02πu(x)v(x) dx,u,v∈H. (u,v) = \int _0^{2\pi } u(x)v(x) \, dx, \qquad u, v \in \mathcal{H}.

Consider the elements un∈Hu_n \in \mathcal{H}, n=1,2,…n = 1, 2, \ldots, defined by un(x)=sin⁡(nx)u_n(x) = \sin (nx) for x∈(0,2π)x \in (0,2\pi ). Show that

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(a)

the set (un)n=1∞(u_n)_{n=1}^{\infty } is closed and bounded, but not compact, in the strong (i.e., norm) topology of H\mathcal{H}.

(b)

un→0u_n \to 0 as n→∞n \to \infty in the weak topology of H\mathcal{H}, i.e., for every v∈Hv \in \mathcal{H},

lim⁡n→∞(un,v)=0. \lim _{n \to \infty } (u_n, v) = 0.
Problem 4.3.11

Let H1H^1 be the Sobolev space on the unit interval [0,1][0,1], i.e., the Hilbert space consisting of functions f∈L2[0,1]f \in L^2[0,1] such that

∥f∥H12:=∑n=−∞∞(1+n2)∣f^(n)∣2<∞, \left\| f\right\| _{H^1}^2 := \sum _{n=-\infty }^{\infty } (1+n^2) \left|\hat{f}(n)\right|^2 < \infty ,

where

f^(n)=12π∫01f(x)exp⁡(−2πinx) dx \hat{f}(n) = \frac{1}{2\pi } \int _0^1 f(x) \exp (-2\pi i n x) \, dx

are Fourier coefficients of ff. Show that there exists constant C>0C > 0 such that ∥f∥∞≤C∥f∥H1\left\| f\right\|_{\infty } \leq C\left\| f\right\|_{H^1}.

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Problem 4.3.12

Let ff be a periodic function on R\mathbb {R} with period 2π2\pi such that f∣[0,2π]f|_{[0,2\pi ]} belongs to L2(0,2π)L^2(0,2\pi ). Suppose

f(x)=∑n=−∞+∞aneinx. f(x) = \sum _{n=-\infty }^{+\infty } a_n e^{inx}.

For each h∈Rh \in \mathbb {R} define the function fhf_h by fh(x)=f(x−h)f_h(x) = f(x-h).

?
(a)

Give the Fourier expansion of fhf_h.

(b)

Find the L2L^2-norm ∥fh−f∥2\left\| f_h - f\right\|_{2} in terms of the ana_n and hh.

(c)

Prove that

lim⁡h→0∥fh−f∥2h=∞ \lim _{h \to 0} \frac{\left\| f_h - f\right\| _{2}}{h} = \infty

unless ff is constant almost everywhere.

Problem 4.3.13

Let fn(x)f_n(x) be an orthonormal family of functions in the Hilbert space L2(0,1)L^2(0,1). Prove that

∑n∣∫0xfn(t) dt∣2≤x \sum _n \left| \int _0^x f_n(t) \, dt \right|^2 \leq x

for all x∈[0,1]x \in [0,1], and that this inequality is sharp (equality) if and only if {fn∣n=1,…}\{ f_n \mid n = 1, \ldots \} span a dense subspace of L2(0,1)L^2(0,1).

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Problem 4.3.14

If ff is a function on R\mathbb {R}, let ftf_t be the translate ft(x)=f(t+x)f_t(x) = f(t+x). Prove that if ff is square integrable with respect to Lebesgue measure, then

lim⁡t→0∥ft−f∥L2(R)=0. \lim _{t \to 0} \left\| f_t - f\right\| _{L^2(\mathbb {R})} = 0.
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Problem 4.3.15

A trigonometric polynomial is a function pp on R\mathbb {R} of the form

p(θ)=∑n=−NNcneinθ, p(\theta ) = \sum _{n=-N}^{N} c_n e^{in\theta },

for some cn∈Cc_n \in \mathbb {C}, N≥0N \geq 0. Suppose ff is continuous and 2π2\pi-periodic on R\mathbb {R}, and let

an=∫−ππf(θ)e−inθ dθ. a_n = \int _{-\pi }^{\pi } f(\theta ) e^{-in\theta } \, d\theta .

Show that for every ε>0\varepsilon > 0, there exists a trigonometric polynomial

p(θ)=∑n=−NNcneinθ p(\theta ) = \sum _{n=-N}^{N} c_n e^{in\theta }

such that

∥f−p∥∞<ε \left\| f-p\right\| _{\infty } < \varepsilon

and

∣cn∣≤∣an∣for all n. \left|c_n\right| \leq \left|a_n\right| \qquad \text{for all } n.
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Problem 4.3.16

Prove or disprove the following statements:

?
(a)

the set of continuous functions on the interval [0,1][0,1] is dense in L∞([0,1])L^{\infty }([0,1]).

(b)

L∞([0,1])L^{\infty }([0,1]) is a separable metric space.

Problem 4.3.17

Let {fn}n=1∞\{ f_n\}_{n=1}^{\infty } be a sequence in Lp([0,1])L^p([0,1]) (with Lebesgue measure) and {gn}n=1∞\{ g_n\}_{n=1}^{\infty } a sequence in Lq([0,1])L^q([0,1]), where 1p+1q=1\frac{1}{p}+\frac{1}{q}=1. If lim⁡n→∞fn=f\lim_{n \to \infty } f_n = f in LpL^p and lim⁡n→∞gn=g\lim_{n \to \infty } g_n = g in LqL^q, is it true that fngn→fgf_n g_n \to fg in measure? Justify.

?
Problem 4.3.18

Let XX be a measure space with measure μ\mu and suppose that μ(X)<∞\mu (X) < \infty. Let

S={(equivalence class) of measurable complex functions on X}. S = \{ (\text{equivalence class}) \text{ of measurable complex functions on } X\} .

(Here, as usual, two measurable complex functions are equivalent if they agree a.e.) For f∈Sf \in S, define

ρ(f)=∫X∣f∣1+∣f∣ dμ. \rho (f) = \int _X \frac{\left|f\right|}{1+\left|f\right|} \, d\mu .

Show that d(f,g)=ρ(f−g)d(f,g) = \rho (f-g) is a metric on SS, and that fn→ff_n \to f in this metric if and only if fn→ff_n \to f in measure.

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Problem 4.3.19

Let gg be a measurable function such that ∫R∣fg∣<∞\int_{\mathbb {R}} \left|fg\right| < \infty for every f∈Lp(R)f \in L^p(\mathbb {R}) (fixed p≥1p \geq 1). Prove that there is a constant MM such that

∫R∣fg∣≤M∥f∥p \int _{\mathbb {R}} \left|fg\right| \leq M \left\| f\right\| _{p}

for all f∈Lp(R)f \in L^p(\mathbb {R}).

?
Problem 4.3.20

Let S1S^1 denote the unit circle (the set of complex numbers with modulus one, or the real numbers modulo 2π2\pi). The convolution of two functions on S1S^1 is

f∗g(θ)=12π∫02πf(ϑ)g(θ−ϑ) dϑ. f * g(\theta ) = \frac{1}{2\pi } \int _0^{2\pi } f(\vartheta ) g(\theta - \vartheta ) \, d\vartheta .

Suppose that ff is an element of L2(S1)L^2(S^1) with the property that its Fourier coefficient

f^(n)=∫02πf(θ)e−inθ dθ \hat{f}(n) = \int _0^{2\pi } f(\theta ) e^{-in\theta } \, d\theta

is non-zero for all n∈Zn \in \mathbb {Z}. Show that the linear space {f∗k∣k∈L2(S1)}\{ f * k \mid k \in L^2(S^1)\} is dense in L2(S1)L^2(S^1).

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Problem 4.3.21

For functions f,g∈L2(R)f, g \in L^2(\mathbb {R}), define the convolution f∗gf*g by

f∗g(x)=∫−∞+∞f(y)g(x−y) dy, f*g(x) = \int _{-\infty }^{+\infty } f(y) g(x-y) \, dy,

where the integral is with respect to Lebesgue measure.

?
(a)

Show that f∗g∈L∞(R)f*g \in L^{\infty }(\mathbb {R}). Do not neglect to check the measurability of f∗gf*g.

(b)

Suppose that ff has the property that for all g∈L2(R)g \in L^2(\mathbb {R}) the convolution f∗gf*g is also an element of L2(R)L^2(\mathbb {R}). Define Tf:L2(R)→L2(R)T_f : L^2(\mathbb {R}) \to L^2(\mathbb {R}) by Tf(g)=f∗gT_f(g) = f*g. It is evident that TfT_f is a linear operator; you need not check this. Show that TfT_f is a bounded linear operator.

Problem 4.3.22

If f∈L1(R)f \in L^1(\mathbb {R}), define

f^(ξ)=∫−∞∞f(x)eiξx dx. \hat{f}(\xi ) = \int _{-\infty }^{\infty } f(x) e^{i\xi x} \, dx.

Prove that, for any f∈L1(R)f \in L^1(\mathbb {R}), f^(ξ)→0\hat{f}(\xi ) \to 0 as ∣ξ∣→∞\left|\xi \right| \to \infty.

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Problem 4.3.23

Let f:[0,1]→[0,∞)f : [0,1] \to [0,\infty ) be an essentially bounded function, ∥f∥∞>0\left\| f\right\|_{\infty } > 0. Show that

lim⁡n→∞∫01f(x)n+1 dx∫01f(x)n dx=∥f∥∞. \lim _{n \to \infty } \frac{\int _0^1 f(x)^{n+1} \, dx}{\int _0^1 f(x)^n \, dx} = \left\| f\right\| _{\infty }.
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Problem 4.3.24

Let (X,M,μ)(X, \mathcal{M}, \mu ) be a measure space for which μ(X)<∞\mu (X) < \infty. Let 1<p<∞1 < p < \infty. Suppose that {fk}\{ f_k\} is a sequence in Lp(X)L^p(X) such that sup⁡k∥fk∥p<∞\sup_k \left\| f_k\right\|_{p} < \infty and lim⁡n→∞fk(x)\lim_{n \to \infty } f_k(x) exists for μ\mu-a.e.xx. Prove that

lim⁡k→∞∥fk−f∥1=0. \lim _{k \to \infty } \left\| f_k - f\right\| _{1} = 0.
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Problem 4.3.25

Give an example of a derivative on [0,1][0,1] which is not Lebesgue integrable.

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Problem 4.3.26

Let (X,F,μ)(X, \mathcal{F}, \mu ) be a finite measure space. Let fnf_n be a sequence of measurable functions with f1∈L1(μ)f_1 \in L^1(\mu ) and with the property that

μ({x∈X:∣fn(x)∣>λ})≤μ({x∈X:∣f1(x)∣>λ}) \mu (\{ x \in X : \left|f_n(x)\right| > \lambda \} ) \leq \mu (\{ x \in X : \left|f_1(x)\right| > \lambda \} )

for all nn and all λ>0\lambda > 0. Prove that

lim⁡n→∞1n∫X(max⁡j≤n∣fj∣) dμ=0. \lim _{n \to \infty } \frac{1}{n} \int _X \Bigl(\max _{j \leq n} \left|f_j\right|\Bigr) \, d\mu = 0.
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Problem 4.3.27

Let g:Rn→Rg : \mathbb {R}^n \to \mathbb {R} be non-negative with ∫Rng(y) dy=1\int_{\mathbb {R}^n} g(y) \, dy = 1, let gε(x)=ε−ng(x/ε)g_{\varepsilon }(x) = \varepsilon^{-n} g(x/\varepsilon ) for ε>0\varepsilon > 0, and define

(gε∗f)(x)=∫Rngε(y)f(x−y) dy. (g_{\varepsilon } * f)(x) = \int _{\mathbb {R}^n} g_{\varepsilon }(y) f(x-y) \, dy.

If f:Rn→Rf : \mathbb {R}^n \to \mathbb {R} is continuous and bounded, then show that fε→ff_{\varepsilon } \to f as ε→0\varepsilon \to 0 uniformly on compact subsets of Rn\mathbb {R}^n.

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Problem 4.3.28

Fix p≥1p \geq 1. Assume without proof that the set of continuous functions with compact support is dense in Lp(Rn)L^p(\mathbb {R}^n). Let f∈Lp(Rn)f \in L^p(\mathbb {R}^n) and, for t∈Rnt \in \mathbb {R}^n, let ft(x)=f(x+t)f_t(x) = f(x+t) be the translate of ff by tt. Show

?
(a)

the map t↦ftt \mapsto f_t is continuous from Rn\mathbb {R}^n to Lp(Rn)L^p(\mathbb {R}^n), and

(b)

gε∗f→fg_{\varepsilon } * f \to f in LpL^p as ε→0\varepsilon \to 0.

Problem 4.3.29

This problem concerns Lebesgue integration of functions from R\mathbb {R} to R\mathbb {R}. For such functions, a trivial form of Holder's inequality says that if f∈L∞(R)f \in L^{\infty }(\mathbb {R}) and g∈L1(R)g \in L^1(\mathbb {R}) then

∫Rfg≤∥f∥∞∥g∥1.(*) \int _{\mathbb {R}} fg \leq \left\| f\right\| _{\infty } \left\| g\right\| _{1}. \tag {*}
?
(a)

Prove that for each g∈L1(R)g \in L^1(\mathbb {R}) there is an f∈L∞(R)f \in L^{\infty }(\mathbb {R}) such that ∥f∥∞=1\left\| f\right\|_{\infty } = 1 such that equality holds in (*).

(b)

Prove that for each f∈L∞(R)f \in L^{\infty }(\mathbb {R}) and each ε>0\varepsilon > 0 there is a g∈L1(R)g \in L^1(\mathbb {R}) with ∥g∥1=1\left\| g\right\|_{1} = 1 such that

∫Rfg>∥f∥∞−ε. \int _{\mathbb {R}} fg > \left\| f\right\| _{\infty } - \varepsilon .
Problem 4.4.1

Let f:[0,1]→Rf : [0,1] \to \mathbb {R} and g:[0,1]×[0,1]→Rg : [0,1] \times [0,1] \to \mathbb {R} satisfy the inequality

f(y)−f(x)≤g(y,x)(y−x)(for all x,y∈(0,1)).(*) f(y) - f(x) \leq g(y,x)(y-x) \qquad \text{(for all } x, y \in (0,1)\text{).} \tag {*}

Assume also that gg is non-decreasing in each variable, i.e., u≤xu \leq x, v≤y  ⟹  g(u,v)≤g(x,y)v \leq y \implies g(u,v) \leq g(x,y). Show that lim⁡y→xg(x,y)=ϕ(x)\lim_{y \to x} g(x,y) = \phi (x) exists except in a countable set and that for 0<x<y<10 < x < y < 1 we have

f(y)−f(x)=∫xyϕ(t) dt. f(y) - f(x) = \int _x^y \phi (t) \, dt.
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Problem 4.4.2

Prove that a function f:[0,1]→Rf : [0,1] \to \mathbb {R} is Lipschitz, with

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

for all x,y∈[0,1]x, y \in [0,1], if and only if there is a sequence of continuously differentiable functions fn:[0,1]→Rf_n : [0,1] \to \mathbb {R} such that

?
(a)

∣fn′(x)∣≤M\left|f_n'(x)\right| \leq M for all x∈[0,1]x \in [0,1];

(b)

fn(x)→f(x)f_n(x) \to f(x) for all x∈[0,1]x \in [0,1].

Problem 4.4.3

Let {fn}\{ f_n\} be a sequence of absolutely continuous real-valued functions on [0,1][0,1] such that

?
(a)

f(x)=∑n=1∞fn(x)f(x) = \sum_{n=1}^{\infty } f_n(x) converges for every x∈[0,1]x \in [0,1].

(b)

∫01(∑n=1∞∣fn′(t)∣)dt<+∞\int_0^1 \left(\sum_{n=1}^{\infty } \left|f_n'(t)\right|\right) dt < +\infty.

Show that ff is absolutely continuous on [0,1][0,1].

Problem 4.4.4

Assume that f∈AC(I)f \in AC(I) for every I⊂RI \subset \mathbb {R}. If both ff and f′f' are in L1(R)L^1(\mathbb {R}) show that (i) ∫Rf′=0\int_{\mathbb {R}} f' = 0, (ii) f(x)→0f(x) \to 0 as ∣x∣→∞\left|x\right| \to \infty.

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Problem 4.4.5

Let {fn}⊂AC([0,1])\{ f_n\} \subset AC([0,1]), fn(0)=0f_n(0) = 0 for every nn. If {fn′}\{ f_n'\} is Cauchy (L1)(L^1), show that there is f∈AC([0,1])f \in AC([0,1]) such that fn→ff_n \to f uniformly on [0,1][0,1].

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Problem 4.4.6
?
(a)

Assume that f∈AC(I)f \in AC(I) and f′∈L∞(I)f' \in L^{\infty }(I). Show that ff is Lipschitz.

(b)

Show that the following two statements are equivalent.

  1. f:I→Rf : I \to \mathbb {R} is Lipschitz.

  2. ε>0  ⟹  ∃δ=δ(ε)>0\varepsilon > 0 \implies \exists \delta = \delta (\varepsilon ) > 0 such that {Ij=[aj,bj]}⊂I\{ I_j = [a_j,b_j]\} \subset I with

    ∑j∣Ij∣<δ  ⟹  ∑j∣f(bj)−f(aj)∣<ε. \sum _j \left|I_j\right| < \delta \implies \sum _j \left|f(b_j) - f(a_j)\right| < \varepsilon .
Problem 4.4.7

Let GnG_n, n=1,2,…n = 1, 2, \ldots be open subsets of [0,1][0,1] such that

G1⊃G2⊃⋯ ,∣Gn∣<12n. G_1 \supset G_2 \supset \cdots , \qquad \left|G_n\right| < \frac{1}{2^n}.

Let

f(x)=∑n≥1∣Gn∩[0,x]∣. f(x) = \sum _{n \geq 1} \left|G_n \cap [0,x]\right|.

Show that

?
(a)

f∈AC([0,1])f \in AC([0,1]).

(b)

∣f(x′)−f(x′′)∣≤M∣x′−x′′∣\left|f(x') - f(x'')\right| \leq M\left|x'-x''\right|, x′,x′′∈[0,1]x', x'' \in [0,1] iff there exists n0n_0 such that Gn=∅G_n = \emptyset, n≥n0n \geq n_0.

Problem 4.4.8

For what values $a$'' and bb'' is the function

f(x)={0,x=0,∣x∣asin⁡∣x∣b,x≠0 f(x) = \begin{cases} 0, & x = 0, \\ \left|x\right|^a \sin \left|x\right|^b, & x \neq 0 \end{cases}
?
(a)

of bounded variation in (−1,1)(-1,1);

(b)

differentiable at ``00''?

Problem 4.4.9

Prove or disprove

?
(a)

Let ff be a real function on [0,2π][0,2\pi ] satisfying ∣f(x)−f(y)∣≤∣x−y∣\left|f(x)-f(y)\right| \leq \left|x-y\right|, all x,y∈[0,2π]x, y \in [0,2\pi ] and f′(x)=0f'(x) = 0 a.e.on [0,2π][0,2\pi ]. Then ff must be constant.

(b)

Let ff be a real valued function of bounded variation on [0,2π][0,2\pi ] with f′(x)=0f'(x) = 0 a.e. Then ff must be constant.

Problem 4.4.10

Let f,g∈L1(R)f, g \in L^1(\mathbb {R}). Show

?
(a)
lim⁡h→01h∫tt+hf(x) dx=f(t),a.e. \lim _{h \to 0} \frac{1}{h} \int _t^{t+h} f(x) \, dx = f(t), \quad \text{a.e.}
(b)

if

lim⁡h→01h∫aa+hf(x) dx=c, \lim _{h \to 0} \frac{1}{h} \int _a^{a+h} f(x) \, dx = c,

then

lim⁡h→0∫aa+tf(x+h)−f(x)h dx=f(a+t)−ca.e. \lim _{h \to 0} \int _a^{a+t} \frac{f(x+h)-f(x)}{h} \, dx = f(a+t) - c \quad \text{a.e.}
(c)

if

lim⁡h→0∫R∣f(x+h)−f(x)h−g(x)∣dx=0 \lim _{h \to 0} \int _{\mathbb {R}} \left| \frac{f(x+h)-f(x)}{h} - g(x) \right| dx = 0

then there are constants a,ca, c such that

f(a+t)=∫aa+tg(x) dx+ca.e. f(a+t) = \int _a^{a+t} g(x) \, dx + c \quad \text{a.e.}

Can you deduce that f′(x)=g(x)f'(x) = g(x) a.e.? State explicitly the theorems you use.

Problem 4.4.11

Let F:(a,b)→RF : (a,b) \to \mathbb {R} be measurable.

?
(a)

Prove that the following two statements are equivalent

  1. There is an f∈L2(a,b)f \in L^2(a,b) such that

    F(x)=∫axf dm(m the Lebesgue measure); F(x) = \int _a^x f \, dm \qquad (m \text{ the Lebesgue measure});
  2. There is an M>0M > 0 such that

    ∑k∣F(xk)−F(xk−1)∣2xk−xk−1≤M \sum _k \frac{\left|F(x_k)-F(x_{k-1})\right|^2}{x_k-x_{k-1}} \leq M

    for any finite partition x0<x1<⋯<xnx_0 < x_1 < \cdots < x_n of (a,b)(a,b).

(b)

Show that the smallest constant MM in (ii) is equal to ∥f∥22\left\| f\right\|_{2}^2.

Problem 4.4.12

Let X=[0,1]X = [0,1], M\mathcal{M} the σ\sigma-algebra of Borel subsets of XX. Let α(t)=t2\alpha (t) = t^2, β(t)=t3\beta (t) = t^3 and define measures μ\mu and ϕ\phi on M\mathcal{M} by

μ(E)=∫Edαandϕ(E)=∫Edβ. \mu (E) = \int _E d\alpha \qquad \text{and} \qquad \phi (E) = \int _E d\beta .

Does dμdϕ\dfrac {d\mu }{d\phi } exist? Does dϕdμ\dfrac {d\phi }{d\mu } exist? Compute the value of the Radon--Nikodym derivatives that exist. Justify.

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Problem 4.4.13

Let λ\lambda be the Lebesgue measure on R\mathbb {R} and μ\mu and ν\nu the Borel measures on R\mathbb {R} defined by:

μ(A)=∑n=1∞12nλ((n,2n)∩A), \mu (A) = \sum _{n=1}^{\infty } \frac{1}{2^n} \lambda \bigl((n,2n) \cap A\bigr), ν(A)=∑n=1∞13nλ((n,32n)∩A). \nu (A) = \sum _{n=1}^{\infty } \frac{1}{3^n} \lambda \left(\left(n, \frac{3}{2}n\right) \cap A\right).

Is μ≪ν\mu \ll \nu or ν≪μ\nu \ll \mu? Find the corresponding derivatives if they exist.

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Problem 4.4.14

Let μ\mu be the Lebesgue measure on [0,∞][0,\infty ]. Define

μ1(E)=∑n=1∞1n3∫E∩[n,n+1)x dμ, \mu _1(E) = \sum _{n=1}^{\infty } \frac{1}{n^3} \int _{E \cap [n,n+1)} x \, d\mu , μ2(E)=∫E∩[1,∞)1x2 dμ \mu _2(E) = \int _{E \cap [1,\infty )} \frac{1}{x^2} \, d\mu

for any Lebesgue measurable subset EE of [0,∞][0,\infty ]. Is μ1≪μ2\mu_1 \ll \mu_2 or/and μ2≪μ1\mu_2 \ll \mu_1? If so, find the corresponding derivatives.

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Problem 4.4.15

Let ϕ:R→R\phi : \mathbb {R} \to \mathbb {R} be a bounded, continuously differentiable function with a bounded derivative, and assume g∈L(R)g \in L(\mathbb {R}). Define

f(t)=∫ϕ(tg(x)) dx,t∈R. f(t) = \int \phi (tg(x)) \, dx, \qquad t \in \mathbb {R}.
?
(a)

What additional assumption on ϕ\phi will insure that ff is well defined? (That is, that ϕ(tg(⋅))∈L(R)\phi (tg(\cdot )) \in L(\mathbb {R}) for all t∈Rt \in \mathbb {R}).

(b)

Under the additional assumption in (a) above, show that ff is differentiable, i.e., f′(t)f'(t) exists for all t∈Rt \in \mathbb {R}.

Problem 4.4.16

Let {fk}\{ f_k\} denote a sequence of non-decreasing functions defined on (0,1)(0,1) with the property that lim⁡k→∞fk(x)=x\lim_{k \to \infty } f_k(x) = x for almost every x∈(0,1)x \in (0,1). Prove that lim⁡k→∞fk′(x)=1\lim_{k \to \infty } f_k'(x) = 1 for almost every x∈(0,1)x \in (0,1).

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Problem 4.4.17

Describe a function which is of bounded variation on [0,1][0,1] but not monotone on any subinterval of [0,1][0,1].

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Problem 4.4.18

Let f:[0,1]→Rf : [0,1] \to \mathbb {R} be strictly increasing and

g(x)=lim⁡h→0−f(x+h)−f(x)h,0<x<1. g(x) = \lim _{h \to 0^-} \frac{f(x+h)-f(x)}{h}, \qquad 0 < x < 1.

Prove that if A={x∈(0,1):g(x)<1}A = \{ x \in (0,1) : g(x) < 1\}, then m∗(A)≤2f(1)−2f(0)m^*(A) \leq 2f(1) - 2f(0), where m∗m^* denotes the outer measure of the Lebesgue measure mm.

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Problem 4.4.19

Find all the functions f:[0,1]→Rf : [0,1] \to \mathbb {R} of bounded variation satisfying

f(x)=1−⋁0x(f),∀x∈[0,1], f(x) = 1 - \bigvee _0^x(f), \qquad \forall x \in [0,1],

and

∫01f=13. \int _0^1 f = \frac{1}{3}.
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Problem 4.4.20

Let c(x)c(x) be the Cantor function on [0,1][0,1] (so c(x)c(x) is a continuous non-decreasing function which equals 12\frac{1}{2} on [13,23][\frac{1}{3},\frac{2}{3}], equals 14\frac{1}{4} on [19,29][\frac{1}{9},\frac{2}{9}], equals 34\frac{3}{4} on [79,89][\frac{7}{9},\frac{8}{9}], etc.) Clearly c′(x)=0c'(x) = 0 for x∈(0,1)x \in (0,1), x∉Cx \notin C, where CC, the Cantor set, is the complement of the union of (13,23)(\frac{1}{3},\frac{2}{3}), (19,29)(\frac{1}{9},\frac{2}{9}), (79,89)(\frac{7}{9},\frac{8}{9}) and all the rest of the middle thirds. Are there any x∈(0,1)∩Cx \in (0,1) \cap C such that c′(x)c'(x) exists and is finite? Prove your answer.

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Problem 4.4.21
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(a)

Prove that if ff is a continuous function on [0,1][0,1] such that f′(x)=0f'(x) = 0 for all but perhaps a finite number of xx then ff is a constant function, i.e.f(x)=f(y)f(x) = f(y), x,y∈[0,1]x, y \in [0,1].

(b)

Prove that if gg is a continuous function on [0,1][0,1] satisfying g(s)≤g(t)g(s) \leq g(t) if s≤ts \leq t such that g′(x)=0g'(x) = 0 for all but perhaps a countable number of xx then gg is a constant function.

Problem 4.5.1

Let S⊂RS \subset \mathbb {R} be a set of real numbers with the property that ∣s1+⋯+sn∣≤1\left|s_1+\cdots +s_n\right| \leq 1 for every finite subset {s1,…,sn}⊂S\{ s_1,\ldots ,s_n\} \subset S. Show that SS is countable.

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Problem 4.5.2

Let {Iα}\{ I_{\alpha }\}, α∈Γ\alpha \in \Gamma, be a collection of closed intervals in R\mathbb {R}. Show that

⋃α∈ΓIα∖⋃α∈ΓIα0 \bigcup _{\alpha \in \Gamma } I_{\alpha } \setminus \bigcup _{\alpha \in \Gamma } I_{\alpha }^0

is countable.

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Problem 4.5.3

Show that any infinite set of non-empty, mutually disjoint, open sets in a separable metric space XX is countable.

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Problem 4.5.4

Prove that for almost every x∈[0,2π]x \in [0,2\pi ]

lim‾⁡n→∞sin⁡(nx)=1. \varlimsup _{n \to \infty } \sin (nx) = 1.
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Problem 4.5.5

Let f∈C(I)f \in C(I). Show that there exists a sequence of polynomials {pn}\{ p_n\} such that pn→fp_n \to f uniformly on II and p1(x)≤p2(x)≤⋯p_1(x) \leq p_2(x) \leq \cdots for every x∈Ix \in I.

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Problem 4.5.6

Let f∈C([0,1])f \in C([0,1]). Show that there is a sequence of odd polynomials pn(x)p_n(x) with pn→fp_n \to f uniformly on [0,1][0,1] iff f(0)=0f(0) = 0.

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Problem 4.5.7
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(a)

Show that the mapping I:C[0,1]→C[0,1]I : C[0,1] \to C[0,1]

(If)(x)=ex+12∫0x2f(t) dt (If)(x) = e^x + \frac{1}{2} \int _0^{x^2} f(t) \, dt

is a contracting mapping on C[0,1]C[0,1], with the supremum norm.

(b)

Show that there exists one and only one smooth function ff on [0,1][0,1] satisfying the conditions:

ddxf(x)=ex+xf(x2), \frac{d}{dx} f(x) = e^x + xf(x^2), f(0)=1. f(0) = 1.
Problem 4.5.8

Given f:R→Rf : \mathbb {R} \to \mathbb {R} bounded and uniformly continuous and {Kn}\{ K_n\}, n=1,2,3,…n = 1, 2, 3, \ldots, Kn∈L1K_n \in L^1 such that

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(a)

∥Kn∥1≤M<∞\left\| K_n\right\|_{1} \leq M < \infty, n=1,2,3,…n = 1,2,3,\ldots

(b)

∫Kn→1\int K_n \to 1 as n→∞n \to \infty.

(c)

∫{x:∣x∣>h}∣Kn∣→0\int_{\{ x : \left|x\right| > h\} } \left|K_n\right| \to 0 as n→∞n \to \infty for all h>0h > 0.

Show Kn∗f→fK_n * f \to f uniformly.

Problem 4.5.9

Let f:R→(−∞,∞)f : \mathbb {R} \to (-\infty ,\infty ) be upper semicontinuous and define m:R→[−∞,∞)m : \mathbb {R} \to [-\infty ,\infty ) by m(x)=lim‾⁡y→xf(y)m(x) = \varliminf_{y \to x} f(y). Let S={x∣f(x)−m(x)≥1}S = \{ x \mid f(x) - m(x) \geq 1\}.

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(a)

Show SS is closed.

(b)

Show: if II is an open interval contained in SS, then m(x)=−∞m(x) = -\infty on II.

(c)

Show that SS is nowhere dense.

Problem 4.5.10

Prove that any topological metric space is homeomorphic to a bounded metric space.

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Problem 4.5.11

Let MM be a metric space with distance function dd, suppose A:M→MA : M \to M is a distance non-increasing periodic map of order 33, i.e.,

A∘A∘A=Id⁡andd(Ax,Ay)≤d(x,y). A \circ A \circ A = \operatorname {Id} \qquad \text{and} \qquad d(Ax,Ay) \leq d(x,y).
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(a)

Show that AA is a continuous bijective isometry.

(b)

Give an example of a complete metric space MM and an isometry AA on MM, periodic of order 33, which has exactly two fixed points.

Problem 4.5.12

Let HH be a Hilbert space and let f:H→Rf : H \to \mathbb {R} be a continuous convex function such that f(xn)→∞f(x_n) \to \infty whenever ∥xn∥→∞\left\| x_n\right\| \to \infty. Prove that ff attains a minimum.

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Problem 4.5.13

AA is the subset of L1(R)L^1(\mathbb {R}) consisting of all functions ff satisfying ∣f(x)∣≤1\left|f(x)\right| \leq 1 a.e.on R\mathbb {R}. Prove that AA is closed in the norm topology of L1(R)L^1(\mathbb {R}).

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Problem 4.5.14

Let AA be a bounded linear operator on Hilbert space HH. Recall that the adjoint A∗A^* is the unique bounded linear operator on HH such that (Ax,y)=(x,A∗y)(Ax,y) = (x,A^*y) for all x,y∈Hx, y \in H.

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(a)

Show that ∥A∗∥=∥A∥\left\| A^*\right\| = \left\| A\right\|, where ∥A∥\left\| A\right\| is the norm of AA.

(b)

Show that AA∗−A∗AAA^* - A^*A cannot be the identity on HH. (You may wish to use (a) to prove this.)

Problem 4.5.15

Suppose that A,B⊂RA, B \subset \mathbb {R} are Lebesgue measurable, with m(A)>0m(A) > 0, m(B)>0m(B) > 0. Show that

A+B={x∈R∣x=a+b,a∈A,b∈B} A+B = \{ x \in \mathbb {R} \mid x = a+b, a \in A, b \in B\}

contains an interval of positive Lebesgue measure.

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Problem 4.5.16

Let XX be a compact Hausdorff topological space and let μ\mu be a finite regular Borel measure on XX. Is it true that if f:X→Rf : X \to \mathbb {R} is μ\mu-measurable then there exists a sequence {fn}n=1∞\{ f_n\}_{n=1}^{\infty } of continuous real-valued functions such that lim⁡n→∞fn=f\lim_{n \to \infty } f_n = f a.e.[μ][\mu ]? Justify.

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Problem 4.5.17

Consider a complete metric space (X,d)(X,d) and a sequence F1⊃F2⊃⋯F_1 \supset F_2 \supset \cdots of non-empty and closed subsets of XX. Assume that for each nn, the set FnF_n can be covered by a finite number of balls of radius 1/n1/n. For each nn, select a point xn∈Fnx_n \in F_n. Prove that the sequence (xn)n=1∞(x_n)_{n=1}^{\infty } has a convergent subsequence.

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Problem 4.5.18

Let u:R→Ru : \mathbb {R} \to \mathbb {R} be arbitrary, and χ(x)=inf⁡∣x−y∣<1u(y)\chi (x) = \inf_{\left|x-y\right|<1} u(y). Show that χ\chi is upper semi-continuous.

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Problem 4.5.19

Let XX be a Banach space and YY a closed subspace of XX. Show that every extreme point gg of the unit ball of the dual Y∗Y^* extends to an extreme point of the unit ball of X∗X^*.

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Problem 4.5.20
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(a)

Prove that span⁡{x2n:n≥0}\operatorname {span}\{ x^{2n} : n \geq 0\} is norm dense in C[0,1]C[0,1].

(b)

Deduce that the norm closure of span⁡{x2n+1∣n≥0}\operatorname {span}\{ x^{2n+1} \mid n \geq 0\} is {f∈C[0,1]:f(0)=0}\{ f \in C[0,1] : f(0) = 0\}.

Problem 4.5.21

Let f∈L1[0,1]f \in L^1[0,1], En⊂[0,1]E_n \subset [0,1] be measurable subsets, and

gn(x)=∫0xχEn(t)f(t) dt. g_n(x) = \int _0^x \chi _{E_n}(t) f(t) \, dt.

Prove that there exists {nk}\{ n_k\} and a continuous function g(x)g(x) on [0,1][0,1] such that gnk(x)g_{n_k}(x) converges uniformly to g(x)g(x) on [0,1][0,1].

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Problem 4.5.22

Prove or disprove: if KK and MM are metric spaces, f:K×M→Rf : K \times M \to \mathbb {R} is a continuous function, and KK is compact, then the function g:M→Rg : M \to \mathbb {R} defined by

g(x)=max⁡{f(k,x)∣k∈K} g(x) = \max \{ f(k,x) \mid k \in K\}

is continuous.

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