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Homework Assignments

Homework is collected at the beginning of lecture of the specified day. No late homework will be accepted. Please write your name and the homework number on each assignment. If you would like to try writing your homework with LaTeX, here is a template that produces this output.

Homework 10, due Wednesday, December 8th (Sections 3.5, 6.1) Solutions
  • 1. Let G:[a,b][c,d] be a continuous increasing surjection.
    • (a) For a Borel set E[c,d], show that m(E)=μG(G1(E)).
      [Hint: first consider when E is an open then closed.]
    • (b) For fL1([c,d],B[c,d],m), show that [c,d]f dm=[a,b]fG dμG.
    • (c) Suppose G is absolutely continuous. Show that the above integrals also equal [a,b](fG)G dm.
  • 2. We say F:RC is Lipschitz continuous if there exists M>0 so that |F(x)F(y)|M|xy| for all x,yR. Show that a function F is Lipschitz continuous with constant M if and only if F is absolutely continuous and |F|M m-almost everywhere.
  • 3. For (a,b)R (possibly equal), we say a function F:(a,b)R is convex if F(λs+(1λ)t)λF(s)+(1λ)F(t) for all s,t(a,b) and λ(0,1).
    • (a) Show that F is convex if and only if for all s,s,t,t(a,b) satisfying ss<t and s<tt one has F(t)F(s)tsF(t)F(s)ts.
    • (b) Show that F is convex if and only if F is absolutely continuous on every compact subinterval of (a,b) and F is increasing on the set where it is defined.
    • (c) For convex F and t0(a,b), show that there exists βR satisfying F(t)F(t0)β(tt0) for all t(a,b).
    • (d) (Jensen's Inequality) Let (X,M,μ) be a measure space with μ(X)=1. Suppose gL1(X,μ) is valued in (a,b) and F is convex on this interval. Show that F(Xg dμ)Fg dμ. [Hint: use part (c) with t0=g dμ and t=g(x).]
  • 4. Let (X,M,μ) be a measure space and let 0<p<q<.
    • (a) Show that Lp(X,μ) if and only if for all \epsilon>0 there exists E\in \mathcal{M} with 0<\mu(E)<\epsilon.
    • (b) Show that L^q(X,\mu)\not\subset L^p(X,\mu) if and only if for all R>0 there exists E\in \mathcal{M} with R<\mu(E)<\infty.
    [Hint: for the backwards direction of both parts, construct a function of the form f= \sum a_n 1_{E_n} for a disjoint family (E_n)_{n\in \mathbb{N}}\subset \mathcal{M}.]
  • 5. Let (X,\mathcal{M},\mu) be a measure space. For a measurable function f\colon X\to \mathbb{C}, we say z\in \mathbb{C} is in the essential range of f if \mu(\{x\in X\colon |f(x) - z|<\epsilon\})>0 for all \epsilon>0. Denote the essential range of f by R_f.
    • (a) Show that R_f is closed.
    • (b) For f\in L^\infty(X,\mu), show that R_f is compact with \|f\|_\infty = \max\{|z|\colon z\in R_f\}.
Homework 9, due Wednesday, December 1st (Sections 3.4, 3.5) Solutions
  • 1. Let f\in L^1(\mathbb{R}^n,m) be such that m(\{x\in \mathbb{R}^n\colon f(x)\neq 0\})>0.
    • (a) Show that there exists C,R>0 so that Hf(x)\geq C|x|^{-n} for |x|>R.
    • (b) Show that there exists C'>0 so that m(\{x\in \mathbb{R}^n\colon Hf(x)> \epsilon\}) \geq \frac{C'}{\epsilon} for all sufficiently small \epsilon>0.
      [Note: this shows that the Hardy–Littlewood maximal inequality is sharp up to the choice of constant.]
  • 2. For a Borel set E\subset \mathbb{R}^n, the density of E at a point x is defined as D_E(x):= \lim_{r\to 0} \frac{m(E\cap B(x,r))}{m(B(x,r))} whenever the limit exists.
    • (a) Show that D_E is defined m-almost everywhere and D_E=1_E m-almost everywhere.
    • (b) For 0<\alpha<1, find an example of an E and so that D_E(0)=\alpha. [Hint: use a sequence of annuli.]
    • (c) Find an example of an E so that D_E(0) does not exist. [Hint: use another sequence of annuli.]
  • 3. Let \nu be a regular signed or complex Borel measure on \mathbb{R}^n with Lebesgue decomposition \nu=\lambda +\rho with respect to the Lebesgue measure m, where \lambda\perp m and \rho\ll m. Show that \lambda and \rho are both regular. [Hint: first show |\nu|=|\lambda|+|\rho|.]
  • 4. Define F(x):=\begin{cases}x^2 \sin(\frac1x) &\text{if }x\neq 0\\ 0 & \text{otherwise} \end{cases} \qquad\text{and}\qquad G(x):=\begin{cases}x^2 \sin(\frac{1}{x^2}) &\text{if }x\neq 0\\ 0 & \text{otherwise} \end{cases}.
    • (a) Compute F' and G'.
    • (b) Show that F\in BV([-1,1]) but G\not\in BV([-1,1]).
  • 5. Suppose (F_n)_{n\in \mathbb{N}}\subset NBV converges pointwise to a function F. Show that T_F\leq \displaystyle\liminf_{n\to\infty} T_{F_n}.
Homework 8, due Wednesday, November 10th (Sections 3.2, 3.3) Solutions
  • 1. For j=1,2, let \mu_j, \nu_j be \sigma-finite measures on (X_j,\mathcal{M}_j) with \nu_j\ll \mu_j. Show that \nu_1\times \nu_2 \ll \mu_1\times \mu_2 with \frac{ d(\nu_1\times \nu_2)}{d(\mu_1\times \mu_2)}(x_1,x_2) = \frac{d\nu_1}{d\mu_1}(x_1) \frac{d\nu_2}{d\mu_2}(x_2) for (\mu_1\times \mu_2)-almost every (x_1,x_2)\in X_1\times X_2.
  • 2. On ([0,1],\mathcal{B}_{[0,1]}), let m be the Lebesgue measure and let \nu be the counting measure.
    • (a) Show that m\ll \nu, but dm\neq f\ d\nu for any function f.
    • (b) Show that there does not exist \lambda\perp m and \rho\ll m so that \nu=\lambda+\rho.
    [Note: this shows the \sigma-finiteness assumption in the Lebesgue–Radon–Nikodym theorem is necessary.]
  • 3. Let (X,\mathcal{M},\mu) be a \sigma-finite measure space, and let \nu be a \sigma-finite signed measure on (X,\mathcal{M}) with \nu \ll \mu.
    • (a) Show that \left| \frac{d\nu}{d\mu} \right| = \frac{d|\nu|}{d \mu}.
    • (b) Show that \frac{d\nu}{d\mu}\in L^1(X,\mu) if and only if \nu is finite.
    • (c) Suppose \nu is positive and let \lambda:=\nu+\mu. Show that 0\leq \frac{d \nu}{d\lambda}<1 \mu-almost everywhere and that \frac{d\nu}{d\mu} = \frac{\frac{d \nu}{d\lambda}}{1-\frac{d \nu}{d\lambda}}.
  • 4. Let \nu be a complex measure on (X,\mathcal{M}). Show that \nu=|\nu| iff \nu(X)=|\nu|(X).
  • 5. Let \nu be a complex measure on (X,\mathcal{M}). For E\in \mathcal{M}, show \begin{align*} |\nu|(E) &= \sup\left\{ \sum_{j=1}^n |\nu(E_j)| \colon E=E_1\cup\cdots \cup E_n \text{ is a partition}\right\}\\ &= \sup\left\{ \sum_{j=1}^\infty |\nu(E_j)| \colon E=\bigcup_{j=1}^\infty E_j \text{ is a partition}\right\}\\ &= \sup\left\{ \left|\int_E f\ d\nu \right| \colon |f|\leq 1\right\}. \end{align*}
  • 6. Let M(X,\mathcal{M}) denote the set of complex measures on a measurable space (X,\mathcal{M}).
    • (a) Show that \| \nu\|:=|\nu|(X) defines a norm on M(X,\mathcal{M}).
    • (b) Show that M(X,\mathcal{M}) is complete with respect to the metric \|\nu-\mu\|.
    • (c) Suppose \mu is a \sigma-finite measure on (X,\mathcal{M}) and (\nu_n)_{n\in \mathbb{N}} \subset M(X,\mathcal{M}) satisfies \nu_n\ll \mu for all n\in \mathbb{N}. For \nu\in M(X,\mathcal{M}), show that \|\nu_n - \nu\|\to 0 if and only if \nu\ll \mu and \frac{d\nu_n}{d\mu}\to \frac{d\nu}{d\mu} in L^1(\mu).
Homework 7, due Wednesday, November 3rd (Sections 2.5, 3.1) Solutions
  • 1. On ([0,1],\mathcal{B}_{[0,1]}), let m be the Lebesgue measure and let \nu be the counting measure. For the diagonal set D:=\{(t,t)\in [0,1]^2\colon 0\leq t\leq 1\}, show that \iint 1_D\ dmd\nu, \iint 1_D\ d\nu dm, and \int 1_D\ d(m\times \nu) are all distinct.
    [Note: this shows the \sigma-finiteness assumption in the Fubini–Tonelli theorem is necessary.]
  • 2. Let (X,\mathcal{M},\mu) be a \sigma-finite measure space and f\in L^+(X,\mu).
    • (a) Show that G_f:=\{(x,t)\in X\times [0,\infty)\colon t\leq f(x)\} is \mathcal{M}\otimes \mathcal{B}_{\mathbb{R}}-measurable with \mu\times m(G_f) = \int_X f\ d\mu.
    • (b) Prove the layer cake formula: \int_X f\ d\mu = \int_{[0,\infty)} \mu(\{x\in X\colon f(x)\geq t\})\ dm(t).
    • (c) Use part (a) and continuity from below to give an alternate (albeit circular) proof of the monotone convergence theorem.
  • 3. Suppose f\in L^1( (0,1),m), and define g(x):=\int_{(x,1)} \frac{1}{t} f(t)\ dm(t) \qquad 0 < x < 1. Show that g\in L^1((0,1),m) with \int_{(0,1)} g\ dm = \int_{(0,1)} f\ dm.
  • 4. Let \nu and \mu be signed measures on a measurable space (X,\mathcal{M}).
    • (a) Show that E is \nu-null if and only if |\nu|(E)=0.
    • (b) Show the following are equivalent:
      • (i) \nu\perp \mu
      • (ii) |\nu|\perp \mu
      • (iii) \nu^+\perp \mu and \nu^-\perp \mu.
  • 5. Let \nu be a signed measure on a measurable space (X,\mathcal{M}).
    • (a) Show L^1(X,\nu) = L^1(X,|\nu|).
    • (b) For f\in L^1(X,\nu), show |\int_X f\ d\nu|\leq \int_X |f|\ d|\nu|.
    • (c) For E\in \mathcal{M}, prove the following formulas:
      • (i) \nu^+(E)= \sup\{\nu(F)\colon F\subset E, F\in \mathcal{M}\}
      • (ii) \nu^-(E)= -\inf\{\nu(F)\colon F\subset E, F\in \mathcal{M}\}
      • (iii) |\nu|(E) = \sup\{ |\int_E f\ d\nu|\colon |f|\leq 1\}
      • (iv) |\nu|(E)=\sup\{|\nu(E_1)|+\cdots +|\nu(E_n)|\colon n\in \mathbb{N},\ E=E_1\cup\cdots\cup E_n\text{ is a} \text{partition}\}
Homework 6, due Wednesday, October 20th (Sections 2.3, 2.4) Solutions
  • 1. Let f\in L^1(\mathbb{R},m). Show that F\colon \mathbb{R}\to\mathbb{C} is continuous where F(t)=\int_{(-\infty,t]} f\ dm.
  • 2. Let f\colon [a,b]\to \mathbb{R} be a bounded function and consider h,H\colon [a,b]\to\mathbb{R} defined by h(t):= \lim_{\delta\to 0} \inf_{|s-t|\leq \delta} f(s) \qquad H(t):= \lim_{\delta\to 0} \sup_{|s-t|\leq \delta} f(s).
    • (a) Show that f is continuous at t\in [a,b] if and only if h(t)=H(t).
    • (b) Show that \int_{[a,b]} h\ dm and \int_{[a,b]} H\ dm equal the lower and upper Darboux integrals of f, respectively.
      [Hint: show that h=g and H=G m-almost everywhere, where g and G are as in the proof of the Riemann–Lebesgue theorem.]
    • (c) Deduce that f is Riemann integrable if and only if m(\{t\in [a,b]\colon f\text{ is discontinuous at }t\})=0.
  • 3. Let \{q_n\colon n\in\mathbb{N}\} =\mathbb{Q} be an enumeration of the rationals, and for x\in \mathbb{R} define g(x):= \sum_{n=1}^\infty \frac{1}{2^n \sqrt{x-q_n}} 1_{(q_n,q_n+1)}
    • (a) Show that g\in L^1(\mathbb{R},m) and hence g<\infty m-almost everywhere.
    • (b) Show that g is discontinuous everywhere and unbounded on every open interval.
    • (c) Show that the conclusions of (b) hold for any function equal to g m-almost everywhere.
    • (d) Show that g^2<\infty m-almost everywhere, but g^2 is not integrable on any interval.
  • 4. Let (X,\mathcal{M},\mu) be a measure space with \mu(X)<\infty. For f,g\colon X\to \mathbb{C} \mathcal{M}-measurable define \rho(f,g) = \int_X \frac{|f-g|}{1+|f-g|}\ d\mu.
    • (a) Show that \rho defines a metric on equivalence classes of \mathbb{C}-valued \mathcal{M}-measurable functions under the relation of \mu-almost everywhere equality.
    • (b) Show that f_n\to f in measure if and only if \rho(f_n,f)\to 0.
  • 5. (Lusin's Theorem) Let f\colon [a,b]\to \mathbb{C} be Lebesgue measurable. Show that for all \epsilon>0 there exists a compact set K\subset [a,b] with m(K)>(b-a)-\epsilon such that f|_K is continuous.
    [Hint: use Egoroff's theorem and the L^1-density of continuous functions.]
Exercises 1, 3, 4, and 5 were graded.
Homework 5, due Wednesday, October 13th (Sections 2.2, 2.3) Solutions
  • 1. Let f\colon [0,1]\to [0,1] be the Cantor function, and define g(x):=f(x)+x.
    • (a) Show that g\colon [0,1]\to [0,2] is a bijection with continuous inverse.
    • (b) If C\subset [0,1] is the Cantor set, show that m(g(C))=1. [Hint: compute m(g(C)^c).]
    • (c) Show that there exists A\subset g(C) such that A\not\in \mathcal{L} and g^{-1}(A)\in \mathcal{L}\setminus \mathcal{B}_\mathbb{R}.
    • (d) Deduce that there exists a Lebesgue measurable function F and a continuous function G such that F\circ G is not Lebesgue measurable.
  • 2. Let f\in L^+(X,\mathcal{M},\mu) with \int_X f\ d\mu<\infty.
    • (a) Show that \{x\in X\colon f(x)=\infty\} is a \mu-null set.
    • (b) Show that \{x\in X\colon f(x)>0\} is \sigma-finite.
    • (c) Show that for all \epsilon>0, there exists E\in \mathcal{M} with \mu(E)<\infty and such that \int_X f\ d\mu < \int_E f\ d\mu + \epsilon.
    • (d) Suppose (f_n)_{n\in \mathbb{N}}\subset L^+(X,\mu) decreases to f and \int_X f_1\ d\mu <\infty. Show that \lim_{n\to\infty} \int_X f_n\ d\mu = \int_X f\ d\mu.
  • 3. For f\in L^+(X,\mathcal{M},\mu), define \nu\colon \mathcal{M}\to [0,\infty] by \nu(E):= \int_E f\ d\mu. Show that \nu is a measure satisfying \int_X g\ d\nu = \int_X gf\ d\mu for all g\in L^+(X,\mathcal{M},\mu).
  • 4. Let (f_n)_{n\in \mathbb{N}}, (g_n)_{n\in \mathbb{N}} \in L^1(X,\mu) be sequences converging \mu-almost everywhere to f,g\in L^1(X,\mu), respectively. Suppose |f_n|\leq g_n for each n\in \mathbb{N} and \int g_n\ d\mu\to \int g\ d\mu. Show that \lim_{n\to\infty} \int_X f_n\ d\mu = \int_X f\ d\mu.
  • 5. Suppose (f_n)_{n\in \mathbb{N}} \subset L^1(X,\mu) converges \mu-almost everywhere to f\in L^1(X,\mu). Show that \lim_{n\to\infty} \int_X |f_n - f|\ d\mu=0 \qquad\Longleftrightarrow\qquad \lim_{n\to\infty} \int_X |f_n|\ d\mu = \int_X |f|\ d\mu.
Exercises 2-5 were graded.
Homework 4, due Wednesday, September 29th (Sections 1.5, 2.1) Solutions
  • 1. Let \mu be a Lebesgue--Stieltjes measure with domain \mathcal{M}, and let E\in \mathcal{M} with \mu(E)<\infty. Show that for any \epsilon>0 there exists a finite union of open intervals A so that \mu(E\Delta A)<\epsilon.
  • 2. Let N\subset [0,1) be the non-measurable set constructed in Section 1.1 and denote N_q:= \{x+q\colon x\in N\cap [0,1-q)\} \cup \{x+q-1\colon x\in N\cap [1-q,1)\}, for all q\in \mathbb{Q}\cap [0,1). Let E\subset \mathbb{R} be Lebesgue measurable.
    • (a) Show that E\subset N implies m(E)=0.
    • (b) Show that m(E)>0 implies E contains a subset that is not Lebesgue measurable. [Hint: for E'\subset [0,1) one has E'=\bigcup_q E'\cap N_q.]
  • 3. Let E\subset\mathbb{R} be Lebesgue measurable with m(E)>0.
    • (a) Show that for any 0<\alpha<1 there exists an interval I satisfying m(E\cap I) > \alpha m(I).
    • (b) Show that the set E-E:=\{x-y\colon x,y\in E\} contains an open interval centered at 0.
  • 4. Let (X,\mathcal{M}) be a measurable space and f,g\colon X\to\overline{\mathbb{R}}.
    • (a) Show that f is \mathcal{M}-measurable if and only if f^{-1}(\{\infty\}), f^{-1}(\{-\infty\}), f^{-1}(B)\in \mathcal{M} for all Borel sets B\subset \mathbb{R}.
    • (b) Show that f is \mathcal{M}-measurable if and only if f^{-1}((q,\infty])\in \mathcal{M} for all q\in \mathbb{Q}.
    • (c) Suppose f,g are \mathcal{M}-measurable. Fix a\in \overline{\mathbb{R}} and define h\colon X\to \overline{\mathbb{R}} by h(x) = \begin{cases} a & \text{if }f(x)=-g(x)=\pm \infty \\ f(x)+g(x) & \text{otherwise} \end{cases}. Show that h is \mathcal{M}-measurable.
  • 5. Let (X,\mathcal{M}) be a measurable space, and let f_n\colon X\to \overline{\mathbb{R}} be \mathcal{M}-measurable for each n\in \mathbb{N}. Show that \{x\in X\colon {\displaystyle \lim_{n\to\infty} } f_n(x) \text{ exists}\}\in \mathcal{M}.
Exercises 1, 2, 3, and 5 were graded, and 4 was checked for completion.
Homework 3, due Wednesday, September 22nd (Sections 1.4-1.5) Solutions
  • 1. Let \mathcal{A} be an algebra on X, let \mu_0 be a premeasure on (X,\mathcal{A}), and let \mu^* be the outer measure defined by \mu^*(E):= \inf \left\{ \sum_{n=1}^\infty \mu_0(A_n)\colon A_n\in \mathcal{A}\text{ for each $n\in\mathbb{N}$ and }E\subset \bigcup_{n=1}^\infty A_n\right\}. We will call \mu^* the outer measure induced by \mu_0.
    • (a) Let A_\sigma denote the collection of all countable unions of sets in \mathcal{A}. For E\subset X and \epsilon>0 show that there exists A\in \mathcal{A}_\sigma satisfying E\subset A and \mu^*(A)\leq \mu^*(E)+\epsilon.
    • (b) Let A_{\sigma\delta} denote the collection of all countable intersections of sets in \mathcal{A}_\sigma. For E\subset X with \mu^*(E)<\infty, show that E is \mu^*-measurable if and only if there exists B\in \mathcal{A}_{\sigma\delta} satisfying E\subset B and \mu^*(B\setminus E)=0.
    • (c) Suppose \mu_0 is \sigma-finite. Show that E is \mu^*-measurable if and only if there exists B\in A_{\sigma\delta} satisfying E\subset B and \mu^*(B\setminus E)=0.
  • 2. Let \mathcal{A} be an algebra on X, let \mu_0 be a finite premeasure on (X,\mathcal{A}), and let \mu^* be the outer measure induced by \mu_0. The inner measure induced by \mu_0 is the map defined by \mu_*(E):=\mu_0(X) - \mu^*(E^c) for E\subset X. Show that A\subset X is \mu^*-measurable if and only if \mu^*(A)=\mu_*(A). [Hint: use Exercise 1.(b).]
  • 3. Let (X,\mathcal{M},\mu) be a \sigma-finite measure space and let \mu^* be the outer measure induced by \mu.
    • (a) Show that the \sigma-algebra \mathcal{M}^* of \mu^*-measurable sets equals \overline{\mathcal{M}}, the completion of \mathcal{M}. [Hint: use Exercise 1.(c).]
    • (b) Show that \mu^*|_{\mathcal{M}^*} = \overline{\mu}, the completion of \mu.
  • 4. Let \mathcal{A} be the collection of finite disjoint unions of sets of the form (a,b]\cap \mathbb{Q} with -\infty\leq a< b\leq \infty.
    • (a) Show \mathcal{A} is an algebra on \mathbb{Q} by showing \mathcal{E}:=\{\emptyset\}\cup\{ (a,b]\cap \mathbb{Q}\colon -\infty\leq a < b\leq b\} is an elementary family.
    • (b) Show that \mathcal{M}(\mathcal{A}) = \mathcal{P}(\mathbb{Q}).
    • (c) Define \mu_0 on \mathcal{A} by \mu_0(\emptyset)=0 and \mu_0(A)=\infty for all nonempty A\in \mathcal{A}. Show that \mu_0 is a premeasure.
    • (d) Show that there exists more than one measure on (\mathbb{Q},\mathcal{P}(\mathbb{Q})) extending \mu_0.
  • 5. Let F\colon \mathbb{R}\to \mathbb{R} be increasing and right-continuous, and let \mu_F be the associated Borel measure on \mathbb{R}. For -\infty < a < b < \infty, prove the following equalities: \begin{align*} \mu_F(\{a\}) &= F(a) - \lim_{x\nearrow a} F(x)\\ \mu_F([a,b]) &= F(b) - \lim_{x\nearrow a} F(x)\\ \mu_F((a,b)) &= \lim_{x\nearrow b} F(x) - F(a)\\ \mu_F([a,b)) &= \lim_{x\nearrow b} F(x) - \lim_{y\nearrow a} F(y). \end{align*}
Exercises 1,3, and 4 were graded, 2 and 5 were checked for completion.
Homework 2, due Wednesday, September 15th (Sections 1.2-1.3) Solutions
  • 1. Fix n\in \mathbb{N} and denote the Borel \sigma-algebra on \mathbb{R}^n by \mathcal{B}.
    • (a) Show that \mathcal{B} is generated by the collection of open boxes (a_1,b_1)\times \cdots \times (a_n,b_n) for a_1,b_1,\ldots, a_n,b_n\in \mathbb{R} with a_1 < b_1,\ldots a_n < b_n.
    • (b) Fix \mathbf{t}=(t_1,\ldots, t_n)\in \mathbb{R}^n. For a Borel set E\subset \mathbb{R}^n, show that E+\mathbf{t}:= \{ (x_1+t_1,\ldots, x_n+t_n)\colon (x_1,\ldots, x_n)\in E\} is also a Borel set. We say \mathcal{B} is translation invariant. [Hint: Consider the collection \{E\in \mathcal{B}\colon E+\mathbf{t}\in \mathcal{B}\}.]
    • (c) Fix \mathbf{t}=(t_1,\ldots, t_n)\in \mathbb{R}^n. For a Borel set E\subset \mathbb{R}^n, show that E\cdot \mathbf{t}:=\{ (x_1t_1,\ldots, x_nt_n)\colon (x_1,\ldots, x_n)\in E\} is also a Borel set. We say \mathcal{B} is dilation invariant.
  • 2. Let (X,\mathcal{M},\mu) be a measure space with E_n\in \mathcal{M} for each n\in \mathbb{N}.
    • (a) Show that \mu(\liminf E_n) \leq \liminf_{n\to\infty} \mu(E_n).
    • (b) Suppose \mu(\bigcup_n E_n)<\infty. Show that \mu(\limsup E_n) \geq \limsup_{n\to\infty} \mu(E_n).
  • 3. Let \mu be a finitely additive measure on a measurable space (X,\mathcal{M}).
    • (a) Show that \mu is a measure if and only if it satisfies continuity from below.
    • (b) If \mu(X)<\infty, show that \mu is a measure if and only if it satisfies continuity from above.
  • 4. Let (X,\mathcal{M},\mu) be a measure space.
    • (a) Suppose \mu is \sigma-finite. Show that \mu is semifinite.
    • (b) Suppose \mu is semifinite. Show that for E\in \mathcal{M} with \mu(E)=\infty and any C > 0, there exists F\subset E with C < \mu(F) < \infty.
  • 5. Let (X,\mathcal{M},\mu) be a measure space and for E\in \mathcal{M} define \mu_0(E):= \sup\{ \mu(F)\colon F\subset E \text{ with } \mu(F)<\infty\}. We call \mu_0 the seminfinite part of \mu.
    • (a) Show that \mu_0 is a semifinite measure.
    • (b) Show that if \mu is itself semifinite, then \mu=\mu_0.
    • (c) [Not Collected] We say E\in \mathcal{M} is \mu-semifinite if for any F\subset E with \mu(F)=\infty there exists G\subset F with 0 < \mu(G) < \infty. Show that \nu(E):=\begin{cases} 0 & \text{if $E$ is $\mu$-semifinite} \\ \infty & \text{otherwise} \end{cases} defines a measure on (X,\mathcal{M}) satisfying \mu=\mu_0+\nu.
Exercises 1,2,3, and 5 were graded, and 4 was checked for completion.
Homework 1, due Wednesday, September 8th (Sections 1.1-1.2) Solutions
  • 1. Consider f\colon \mathbb{R}\to \mathbb{R} defined by f(t) = \begin{cases} \frac{1}{n} & \text{if }t=\frac{m}{n}\text{ with $m\in \mathbb{Z}$, $n\in \mathbb{N}$ sharing no common factors}\\ 0 & \text{if }t\in \mathbb{R}\setminus\mathbb{Q}\end{cases}.
    • (a) Show that f is discontinuous at every t\in \mathbb{Q}.
    • (b) Show that f is continuous at every t\in \mathbb{R}\setminus \mathbb{Q}.
    • (c) Show that 1_\mathbb{Q} is discontinuous at every t\in \mathbb{R}.
  • 2. Show that if E\subset \mathbb{R} is countable then E is a null set.
  • 3. Let X be a set and let (E_n)_{n\in \mathbb{N}} be a sequence of subsets. Recall that the limit inferior and limit superior of this sequence of sets are defined as \liminf E_n := \bigcup_{n=1}^\infty \bigcap_{k=n}^\infty E_k \qquad\text{and}\qquad \limsup E_n:= \bigcap_{n=1}^\infty \bigcup_{k=n}^\infty E_k, respectively. Show that for all x\in X, 1_{\liminf E_n}(x) =\liminf_{n\to\infty} 1_{E_{n}}(x) \qquad \text{and}\qquad 1_{\limsup E_n}(x) = \limsup_{n\to\infty} 1_{E_n}(x).
  • 4. Let X be an uncountable set. Show that \mathcal{C}:=\{E\subset X\colon E \text{ or } E^c \text{ is countable}\} is a \sigma-algebra on X.
  • 5. Let \mathcal{B}_\mathbb{R} be the Borel \sigma-algebra on \mathbb{R}, and consider the following collections of subsets of \mathbb{R}: \begin{align*} \mathcal{E}_1 &:=\{ (a,b)\colon a,b\in \mathbb{R},\ a < b\}\\ \mathcal{E}_2 &:=\{ [a,\infty) \colon a\in \mathbb{R}\}. \end{align*} Show that \mathcal{M}(\mathcal{E}_1)= \mathcal{M}(\mathcal{E}_2)=\mathcal{B}_\mathbb{R}.
Exercises 1-5 were graded.

Midterm Exams

Midterm 1 is in class on Wednesday, October 6th. This covers Chapter 1 and Section 2.1 in the textbook. Solutions.

Midterm 2 is in class on Wednesday, November 17th. This covers Sections 2.2 - 2.5, and 3.1 - 3.3 in the textbook. Solutions.

Final Exam

The Final exam will be administered through D2L during a 3-hour window of you choosing between Wednesday, December 8th, 12:00 pm (noon) and Friday, December 17th, 11:59 pm. This covers Chapters 1-3 and Section 6.1 of the textbook.