Chapter 7

Integrals Relative to Lebesgue Measure

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Problem 7.1.1

(SC4b) If f(x)=−∞f(\boldsymbol {x})=-\infty, then ff is USC at x\boldsymbol {x} iff lim⁡y→xf(y)=−∞\lim_{\boldsymbol {y} \rightarrow \boldsymbol {x}} f(\boldsymbol {y})= -\infty. (SC7b) fˉ\bar{f} is USC, and is the minimal USC function ⩾f\geqslant f. (SC9) Let AA denote a generic nonempty index set. For each α∈A\alpha \in A, suppose that fαf_{\alpha } is a function from Rk\mathbb {R}^{k} into R‾\overline{\mathbb {R}}. We have the following:

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(a)

If fαf_{\alpha } is LSC for each α∈A\alpha \in A, then sup⁡α∈Afα\sup_{\alpha \in A} f_{\alpha } is LSC.

(b)

If fαf_{\alpha } is USC for each α∈A\alpha \in A, then inf⁡α∈Afα\inf_{\alpha \in A} f_{\alpha } is USC.

Problem 7.1.2

Let E⊂R‾kE \subset \overline{\mathbb {R}}^{k}.

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(a)

EE is open iff   1E\; \mathbb {1}_{E} is LSC.

(b)

EE is closed iff   1E\; \mathbb {1}_{E} is USC.

(c)

We have   1E‾=  1E∘\underline{\; \mathbb {1}_{E}}=\; \mathbb {1}_{E^{\circ }} and   1E‾=  1Eˉ\overline{\; \mathbb {1}_{E}}=\; \mathbb {1}_{\bar{E}}.

Problem 7.1.3
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(a)

If f1f_{1} and f2f_{2} are LSC [or USC] and finite on Rk\mathbb {R}^{k}, then f1+f2f_{1}+f_{2} is LSC [or USC].

(b)

If {fn}n=1∞\left\{ f_{n}\right\}_{n=1}^{\infty } is a sequence of nonnegative LSC [or USC] functions, is ∑n=1∞fn\sum_{n=1}^{\infty } f_{n} necessarily LSC [or USC]?

Problem 7.1.4

Let KK denote a compact subset of Rk\mathbb {R}^{k}.

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(a)

If ff is a real-valued function that is USC on KK, then ff obtains a local maximum on KK.

(b)

If ff is a real-valued function that is LSC on KK, then ff obtains a local minimum on KK.

Problem 7.1.5

Let AA denote a generic nonempty index set, and suppose for each α∈A\alpha \in A that fαf_{\alpha } is continuous.

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(a)

It is not necessarily the case that sup⁡α∈Afα\sup_{\alpha \in A} f_{\alpha } is continuous.

(b)

sup⁡α∈Afα\sup_{\alpha \in A} f_{\alpha } is Borel measurable.

(c)

It is not necessarily the case that inf⁡α∈Afα\inf_{\alpha \in A} f_{\alpha } is continuous, but at any rate it is still Borel measurable.

Problem 7.1.6

For each x∈Rk\boldsymbol {x} \in \mathbb {R}^{k} and δ>0\delta >0, define ϕ(x)=inf⁡δ>0sup⁡s,t∈B(x,δ)∣f(s)−f(t)∣\phi (\boldsymbol {x})=\inf_{\delta >0} \sup_{\boldsymbol {s}, \boldsymbol {t} \in B(\boldsymbol {x}, \delta )}\left|f(\boldsymbol {s})-f(\boldsymbol {t})\right|.

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(a)

ϕ\phi is USC, hence Borel measurable.

(b)

ff is continuous at x\boldsymbol {x} iff ϕ(x)=0\phi (\boldsymbol {x})=0.

(c)

{x∈Rk:f is continuous at x}\left\{ \boldsymbol {x} \in \mathbb {R}^{k}: f \text{ is continuous at } \boldsymbol {x}\right\} is a Borel set. This shows that for any ff, the continuity set of ff [as well as the set of points where ff is discontinuous] is a Borel set.

Problem 7.2.1

Complete the proof of (SC4).

(SC4): We have the following: (a) If f(x)=+∞f(\boldsymbol {x})=+\infty, then ff is LSC at x\boldsymbol {x} iff lim⁡y→xf(y)=+∞\lim_{\boldsymbol {y} \rightarrow \boldsymbol {x}} f(\boldsymbol {y})=+\infty. (b) If f(x)=−∞f(\boldsymbol {x})=-\infty, then ff is USC at x\boldsymbol {x} iff lim⁡y→xf(y)=−∞\lim_{\boldsymbol {y} \rightarrow \boldsymbol {x}} f(\boldsymbol {y})=-\infty.

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Remark.
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Part (a) of (SC4) is proved in the text; part (b) is left as an easy exercise there, and is precisely what this exercise asks to be completed.

Problem 7.2.2

Give a formal writeup of the proof of the following [intuitively obvious] assertion: the set of x∈I\boldsymbol {x} \in I such that x\boldsymbol {x} is a boundary point of some subrectangle of II at some stage is λk\lambda_{k}-null. This assertion was made at the end of the proof of (SC3).

(SC3): If f(x)=−∞f(\boldsymbol {x})=-\infty, then ff is LSC at x\boldsymbol {x}. If f(x)=+∞f(\boldsymbol {x})=+\infty, then ff is USC at x\boldsymbol {x}. [Vacuously true.]

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Problem 7.3.1

BIk\mathcal{B}_{I}^{k} is the σ\sigma-field on II generated by the kk-dimensional right semiclosed subrectangles (c,d](\boldsymbol {c}, \boldsymbol {d}] of II, and LIk=BIk‾\mathcal{L}_{I}^{k}=\overline{\mathcal{B}_{I}^{k}}, where the completion is with respect to λk∣BIk\lambda_{k}|_{\mathcal{B}_{I}^{k}}. This exercise justifies using the notation we have used.

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Problem 7.4.1

Focus attention on a closed and bounded kk-dimensional rectangle I=[a,b]I=[\boldsymbol {a}, \boldsymbol {b}]. Suppose that ff and gg are RI on II. Using the main results of this section, quickly show that af+bgaf+bg [where a,b∈Ra, b \in \mathbb {R}] and fgfg are also RI. [The idea is to not regurgitate the calculus-based proofs. Observe by Claim 1 or Claim 2 (of this section) that af+bgaf+bg and fgfg are continuous almost everywhere on II if ff and gg are RI.]

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Problem 7.4.2

Here, take I=[0,1]I=[0,1], and let ff denote the indicator function of the set of rational numbers in [0,1][0,1].

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(a)

ff is not RI on [0,1][0,1].

(b)

We have that ∫[0,1]f dλ\int_{[0,1]} f \, d\lambda exists and equals 00, so that this is an example of where the Lebesgue integral of ff exists while the Riemann integral doesn't exist.

Problem 7.4.3

Work the following parts:

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(a)

lim⁡n→+∞∫0nπsin⁡xx dx\lim_{n \rightarrow +\infty } \int_{0}^{n \pi } \frac{\sin x}{x} \, dx exists and equals π/2\pi /2. [Show that ∫(n−1)πnπsin⁡xx dx\int_{(n-1) \pi }^{n \pi } \frac{\sin x}{x} \, dx alternates in sign and has absolute value decreasing to zero.] In calculus, this limit would be written as an improper Riemann integral: ∫0+∞sin⁡xx dx=π/2\int_{0}^{+\infty } \frac{\sin x}{x} \, dx=\pi /2.

(b)

The Lebesgue integral ∫(0,+∞)sin⁡xx dλ(x)\int_{(0,+\infty )} \frac{\sin x}{x} \, d\lambda (x) does not exist, as both the Lebesgue integrals ∫(0,+∞)(sin⁡x/x)+ dλ(x)\int_{(0,+\infty )} \left(\sin x/x\right)^{+} \, d\lambda (x) and ∫(0,+∞)(sin⁡x/x)− dλ(x)\int_{(0,+\infty )} \left(\sin x/x\right)^{-} \, d\lambda (x) equal +∞+\infty.

Problem 7.4.4

Obtain ∫(0,1)1x dλ(x)\int_{(0,1)} \frac{1}{\sqrt{x}} \, d\lambda (x) if it exists, otherwise show that it fails to exist. Observe that 1x\frac{1}{\sqrt{x}} is not bounded on (0,1)(0,1), so that one cannot immediately appeal to Claim 1 or Claim 2 (of this section).

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Problem 7.4.5

∫R11+x2 dλ(x)\int_{\mathbb {R}} \frac{1}{1+x^{2}} \, d\lambda (x) exists and equals π\pi. [Be more careful here than merely stating that the improper Riemann integral ∫−∞+∞11+x2 dx\int_{-\infty }^{+\infty } \frac{1}{1+x^{2}} \, dx exists and equals π\pi.]

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Problem 7.4.6

Is a RI function necessarily Borel measurable?

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Problem 7.4.7

Show that ∫1+∞1x dλ(x)=+∞\int_{1}^{+\infty } \frac{1}{x} \, d\lambda (x)=+\infty. [Be careful here.]

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Problem 7.4.8

Let f:R→R‾f: \mathbb {R} \rightarrow \overline{\mathbb {R}} be such that ∫Rf dλˉ\int_{\mathbb {R}} f \, d\bar{\lambda } exists, is finite. Further suppose that ∫(a,b)f dλˉ=0\int_{(a,b)} f \, d\bar{\lambda }=0 for every −∞<a<b<+∞-\infty <a<b<+\infty. Then f=0f=0 λˉ\bar{\lambda }-a.e. on R\mathbb {R}. [Work from indicators to simple functions, then to nonnegative functions, then to general integrable functions.]

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Problem 7.4.9

Assume the result of Exercise 8 [problem 7.4.8 above]. Show that there cannot exist a set E∈BE \in \mathcal{B} such that λ(E∩[a,b])=12(b−a)\lambda \left(E \cap [a, b]\right)=\frac{1}{2}(b-a) for all real a<ba<b. [Write the left side as ∫[a,b]  1E dλ\int_{[a,b]} \; \mathbb {1}_{E} \, d\lambda, and write the right side as ∫[a,b]12 dλ\int_{[a,b]} \frac{1}{2} \, d\lambda. Use the previous exercise, working by contradiction.]

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Problem 7.4.10

There exists a real valued ff on [0,1][0,1] such that ff is continuous on (0,1](0,1], lim⁡δ→0+∫[δ,1]f dλˉ\lim_{\delta \rightarrow 0^{+}} \int_{[\delta , 1]} f \, d\bar{\lambda } exists and is finite, but ∫[0,1]f dλˉ\int_{[0,1]} f \, d\bar{\lambda } is undefined.

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Problem 7.4.11

Suppose that ff is improperly Riemann integrable over the real line, so that

∫−∞+∞f(x) dx=lim⁡a→−∞, b→+∞∫abf(x) dx \int _{-\infty }^{+\infty } f(x) \, dx=\lim _{a \rightarrow -\infty , \, b \rightarrow +\infty } \int _{a}^{b} f(x) \, dx

exists as a real number. [Observe that this implies that ff is RI over each interval [a,b][a, b].] Give sufficient conditions for ff so that ∫Rf dλ=∫−∞+∞f(x) dx\int_{\mathbb {R}} f \, d\lambda =\int_{-\infty }^{+\infty } f(x) \, dx.

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Problem 7.5.1

For general elements f∈L1f \in L^{1}, define ∥f∥1=∫∣f∣ dλˉk\left\| f\right\|_{1}=\int \left|f\right| \, d\bar{\lambda }_{k}. Then

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(a)

0⩽∥f∥1<+∞0 \leqslant \left\| f\right\|_{1}<+\infty.

(b)

∥f∥1=0\left\| f\right\|_{1}=0 iff f=0f=0 λˉk\bar{\lambda }_{k}-a.e.

(c)

∥cf∥1=∣c∣∥f∥1\left\| cf\right\|_{1}=\left|c\right|\left\| f\right\|_{1} for every real cc.

(d)

∥f+g∥1⩽∥f∥1+∥g∥1\left\| f+g\right\|_{1} \leqslant \left\| f\right\|_{1}+\left\| g\right\|_{1} [where g∈L1g \in L^{1} as well].

Remark.
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Parts (a)-(c) are nearly trivial. Use the triangle inequality in (d).

Problem 7.5.2

For elements f,g∈L1f, g \in L^{1} write f∼gf \sim g iff f=gf=g λˉk\bar{\lambda }_{k}-a.e. Then ∼\sim is an equivalence relation.

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Remark.
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We can't formally say that ∥⋅∥1\left\| \cdot \right\|_{1} is a norm on L1L^{1} because it is not the case that ∥f∥1=0\left\| f\right\|_{1}=0 forces ff to be the zero element --- the function identically zero --- of L1L^{1}. However, if we agree by fiat to identify elements of L1L^{1} that are equal λˉk\bar{\lambda }_{k}-a.e., and if we view ∥⋅∥1\left\| \cdot \right\|_{1} as being defined on the collection of equivalence classes L1/∼L^{1}/\sim of L1L^{1} induced by ∼\sim, then ∥⋅∥1\left\| \cdot \right\|_{1} is a norm on L1/∼L^{1}/\sim, where the "zero element" is the equivalence class of functions that are equal to zero λˉk\bar{\lambda }_{k}-a.e. We ignore this distinction, and instead talk about "the norm ∥⋅∥1\left\| \cdot \right\|_{1} defined on L1L^{1}" or "the L1L^{1}-norm ∥⋅∥1\left\| \cdot \right\|_{1}," applying ∥⋅∥1\left\| \cdot \right\|_{1} to functions instead of equivalence classes. That is, we write ∥f∥1\left\| f\right\|_{1} [which is slightly incorrect] in place of the much more cumbersome [but completely correct] ∥{g∈L1:g∼f}∥1\left\| \left\{ g \in L^{1}: g \sim f\right\} \right\|_{1}.

Problem 7.5.3

For f,g∈L1f, g \in L^{1}, define the L1L^{1}-distance between ff and gg to be ∥f−g∥1\left\| f-g\right\|_{1}. Show that this distance function is a metric if we agree to identify functions that are equal almost everywhere.

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Problem 7.5.4

Here we will show that the collection CcC_{c} of continuous functions with compact support is dense in L1L^{1}, where the notion of distance is as given in the previous exercise. That is, given f∈L1f \in L^{1} and ε>0\varepsilon >0, there is g∈Ccg \in C_{c} such that ∥f−g∥1<ε\left\| f-g\right\|_{1}<\varepsilon. Work in the following stages.

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(a)

f=  1Af=\; \mathbb {1}_{A}, where AA is a bounded Lebesgue subset of Rk\mathbb {R}^{k}. [Find compact KK and bounded open GG with K⊆A⊆GK \subseteq A \subseteq G and λˉk(G−K)<ε\bar{\lambda }_{k}(G-K)<\varepsilon; use the approximation theorem in Section 4.2. Use Urysohn's Lemma in Section 5.7 to find gg on Rk\mathbb {R}^{k} that is continuous with 0⩽g⩽10 \leqslant g \leqslant 1, g=1g=1 on KK, and g=0g=0 on GcG^{c}. Argue that g−  1A=0g-\; \mathbb {1}_{A}=0 for all x∈K∪Gc\boldsymbol {x} \in K \cup G^{c} and ∣g−  1A∣⩽1\left|g-\; \mathbb {1}_{A}\right| \leqslant 1 on G−KG-K. Show that this gives ∥g−  1A∥1<ε\left\| g-\; \mathbb {1}_{A}\right\|_{1}<\varepsilon.]

(b)

ff is a nonnegative finite-valued Lebesgue measurable simple function that is zero outside a bounded set, say f=∑i=1nci  1Aif=\sum_{i=1}^{n} c_{i} \; \mathbb {1}_{A_{i}}, where 0⩽c1,…,cn<+∞0 \leqslant c_{1}, \ldots , c_{n}<+\infty and A1,…,AnA_{1}, \ldots , A_{n} are disjoint bounded Lk\mathcal{L}^{k}-sets. [This follows from (a); approximate each   1Ai\; \mathbb {1}_{A_{i}} by some gi∈Ccg_{i} \in C_{c}. Show that ∑i=1ncigi∈Cc\sum_{i=1}^{n} c_{i} g_{i} \in C_{c} approximates ∑i=1nci  1Ai\sum_{i=1}^{n} c_{i} \; \mathbb {1}_{A_{i}}.]

(c)

ff is a nonnegative measurable function that is zero outside a bounded set. [Find a nonnegative finite-valued nondecreasing sequence {sn}n=1∞\left\{ s_{n}\right\}_{n=1}^{\infty } of Lebesgue measurable simple functions as in (b) that are zero outside of some bounded set with sn→fs_{n} \rightarrow f. Show that lim⁡n∥sn−f∥1=0\lim_{n} \left\| s_{n}-f\right\|_{1}=0 by using DCT. Therefore, ff may be approximated by the types of functions given in (b).]

(d)

ff is a measurable function that is zero outside a bounded set. [Write ff as f+−f−f^{+}-f^{-}; use (c). This part shows that ff may be approximated by functions as given in (c).]

(e)

ff a completely general element of L1L^{1}. [Use DCT to show the limit relation lim⁡n∥f  1B(0,n)−f∥1=0\lim_{n} \left\| f \; \mathbb {1}_{B(\boldsymbol {0}, n)}-f\right\|_{1}=0. Thus ff may be approximated by functions of the type given in (d). Here B(0,n)B(\boldsymbol {0}, n) is the open ball centered at the origin with radius nn.]

(f)

Work backward from (e) to (a) to prove the claim given at the beginning of this problem.

Remark.
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Approximation theorem for Lebesgue measure (Section 4.2), the part needed here: given A∈LkA \in \mathcal{L}^{k} and ε>0\varepsilon >0, there exist a closed set CC and open set G1G_{1} with C⊆A⊆G1C \subseteq A \subseteq G_{1} and λk(G1−C)<ε/2\lambda_{k}\left(G_{1}-C\right)<\varepsilon /2; combined with the analogous statement for AcA^{c}, this yields compact KK and bounded open GG with K⊆A⊆GK \subseteq A \subseteq G and λk(G−K)<ε\lambda_{k}(G-K)<\varepsilon whenever AA is itself bounded. Urysohn's Lemma (Section 5.7): let ∅⊊F⊆G⊆Rk\varnothing \subsetneq F \subseteq G \subseteq \mathbb {R}^{k}, where FF is closed and GG is open. Then there exists a continuous function ϕ:Rk→R\phi : \mathbb {R}^{k} \rightarrow \mathbb {R} such that (i) 0⩽ϕ(x)⩽10 \leqslant \phi (\boldsymbol {x}) \leqslant 1 for each x∈Rk\boldsymbol {x} \in \mathbb {R}^{k}, (ii) ϕ(x)=1\phi (\boldsymbol {x})=1 for each x∈F\boldsymbol {x} \in F, (iii) ϕ(x)=0\phi (\boldsymbol {x})=0 for each x∈Gc\boldsymbol {x} \in G^{c}, and (iv) 0<ϕ(x)<10<\phi (\boldsymbol {x})<1 for each x∈G−F\boldsymbol {x} \in G-F. The support of a function ff is the set supp⁡(f)={ω∈Rk:f(ω)≠0}‾\operatorname {supp}(f)=\overline{\left\{ \boldsymbol {\omega } \in \mathbb {R}^{k}: f(\boldsymbol {\omega }) \neq 0\right\} }; if this closed set is bounded, and hence compact, we say that ff has compact support.

Problem 7.5.5

We know that if f∈L1f \in L^{1}, then τyf∈L1\tau_{\boldsymbol {y}} f \in L^{1} for every y∈Rk\boldsymbol {y} \in \mathbb {R}^{k}. [τy\tau_{\boldsymbol {y}} is the translation operator given in Claim 2.] Show that lim⁡y→0∥τyf−f∥1=0\lim_{\boldsymbol {y} \rightarrow \boldsymbol {0}} \left\| \tau_{\boldsymbol {y}} f-f\right\|_{1}=0.

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Remark.
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Claim 2 (of this section): let f:Rk→R‾f: \mathbb {R}^{k} \rightarrow \overline{\mathbb {R}} be Lebesgue measurable, and let τy\tau_{\boldsymbol {y}} denote translation by some y∈Rk\boldsymbol {y} \in \mathbb {R}^{k}: τyf(x)=f(x+y)\tau_{\boldsymbol {y}} f(\boldsymbol {x})=f(\boldsymbol {x}+\boldsymbol {y}) for every x∈Rk\boldsymbol {x} \in \mathbb {R}^{k}. Then: (a) τyf\tau_{\boldsymbol {y}} f is Lebesgue measurable; (b) if ff is nonnegative, then ∫f dλk=∫τyf dλk\int f \, d\lambda_{k}=\int \tau_{\boldsymbol {y}} f \, d\lambda_{k}; (c) if f∈L1(Rk,Lk,λk)f \in L^{1}\left(\mathbb {R}^{k}, \mathcal{L}^{k}, \lambda_{k}\right), then τyf∈L1(Rk,Lk,λk)\tau_{\boldsymbol {y}} f \in L^{1}\left(\mathbb {R}^{k}, \mathcal{L}^{k}, \lambda_{k}\right), and again ∫f dλk=∫τyf dλk\int f \, d\lambda_{k}=\int \tau_{\boldsymbol {y}} f \, d\lambda_{k}.