Section 4.1

Measurability and Measure

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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!