REAL ANALYSIS GENERAL EXAM SPRING 2023

Solve as many problems as you can. Full solutions on a smaller number of problems will be worth more than partial solutions on several problems.

Problem 1.

Let ( X,μX, \mu ) be a σ\sigma-finite measure space and p[1,+)p \in[1,+\infty). Let (fn)n=1\left(f_{n}\right)_{n=1}^{\infty} be a sequence in Lp(X,μ)L^{p}(X, \mu) and suppose that fnp1\left\|f_{n}\right\|_{p} \leq 1, and that fnf_{n} converges a.e. to a measurable function ff. Show that fp1\|f\|_{p} \leq 1.

Problem 2.

Let μ\mu be a Borel probability measure on \mathbb{R} without atoms. Suppose that EE \subseteq \mathbb{R} is a Borel set with μ(E)>0\mu(E)>0. Show that there is a tt \in \mathbb{R} with μ(E(,t))=12μ(E)\mu(E \cap(-\infty, t))=\frac{1}{2} \mu(E).

Problem 3.

Let XX be a set equipped with a σ\sigma-algebra of sets Σ\Sigma. Suppose that μ,ν:Σ[0,+)\mu, \nu: \Sigma \rightarrow [0,+\infty) are finite measures. Set λ=μ+ν\lambda=\mu+\nu. Let f:Xf: X \rightarrow \mathbb{R} be any Σ\Sigma-measurable function so that

ν(E)=Efdλ\nu(E)=\int_{E} f d \lambda

for all EΣE \in \Sigma.
(i) Show that 0f1λ0 \leq f \leq 1 \,\lambda-a.e.
(ii) If F={x:f(x)=1}F=\{x: f(x)=1\}, show that μ(F)=0\mu(F)=0.
(iii) If A{x:0f(x)<1}A \subseteq\{x: 0 \leq f(x)<1\} and μ(A)=0\mu(A)=0, show that ν(A)=0\nu(A)=0.

Problem 4.

Fix p[1,+)p \in[1,+\infty). Let Wp([0,1])W^{p}([0,1]) consist of all absolutely continuous functions f:[0,1]f:[0,1] \rightarrow \mathbb{C} so that fLp([0,1])f^{\prime} \in L^{p}([0,1]). For fWp([0,1])f \in W^{p}([0,1]) define

f=|f(0)|+fp\|f\|=|f(0)|+\left\|f^{\prime}\right\|_{p}

Show that \|\cdot\| is a norm which makes Wp([0,1])W^{p}([0,1]) into a Banach space. (You are allowed to use that Lp([0,1])L^{p}([0,1]) is a Banach space).

Problem 5.

Let mm be Lebesgue measure on \mathbb{R}. Let Ω={1E:E\Omega=\left\{1_{E}: E \subseteq \mathbb{R}\right. is Borel and m(E)<+}m(E)< +\infty\} regarded as a subset of L1()L^{1}(\mathbb{R}) (recall that we identify two elements of L1L^{1} if they agree almost everywhere). Throughout this problem regard Ω\Omega as a metric space equipped with the L1L^{1}-distance.
(i) If a<ba<b are real numbers, show that the function Ω\Omega \rightarrow \mathbb{R} given by

1Em(E[a,b])1_{E} \mapsto m(E \cap[a, b])

is a continuous function.
(ii) If a<ba<b are real numbers, let Ua,bU_{a, b} be the subset of Ω\Omega consiting of all 1E1_{E} where EE \subseteq \mathbb{R} is Borel and

0<m(E[a,b])<ba0<m(E \cap[a, b])<b-a

Show that Ua,bU_{a, b} is open and dense in Ω\Omega.
(iii) Let DD be the set of all 1E1_{E} where EE \subseteq \mathbb{R} is Borel and so that for every interval II of positive measure we have

0<m(EI)<m(I)0<m(E \cap I)<m(I)

Show that there is a countable collection {Uj}jJ\left\{U_{j}\right\}_{j \in J} of open and dense subsets of Ω\Omega with

DjJUj.D \supseteq \bigcap_{j \in J} U_{j} .