REAL ANALYSIS GENERAL EXAM FALL 2022

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,μ)(X, \mu) be a measure space, and for nn \in \mathbb{N}, let fn:X[0,+)f_{n}: X \rightarrow[0,+\infty) be measurable and satisfy fndμ=1\int f_{n} d \mu=1.
(a) Show that n=1n2fndμ<+\int \sum_{n=1}^{\infty} n^{-2} f_{n} d \mu<+\infty.
(b) Use the previous part to show that for almost every xXx \in X, we have that

limnfn(x)n2=0\lim _{n \rightarrow \infty} \frac{f_{n}(x)}{n^{2}}=0

Problem 2.

Let fL1([0,1])f \in L^{1}([0,1]).
(a) Show that 01x1|f(t)|tdtdx<+\int_{0}^{1} \int_{x}^{1} \frac{|f(t)|}{t} d t d x<+\infty.
(b) Show that x1|f(t)|tdt<+\int_{x}^{1} \frac{|f(t)|}{t} d t<+\infty for almost every x[0,1]x \in[0,1] and that if g(x)=x1f(t)tdtg(x)= \int_{x}^{1} \frac{f(t)}{t} d t, then gL1([0,1])g \in L^{1}([0,1]) and 01g(x)dx=01f(x)dx\int_{0}^{1} g(x) d x=\int_{0}^{1} f(x) d x.

Problem 3.

Let (X,μ),(Y,ν)(X, \mu),(Y, \nu) be σ\sigma-finite measure spaces. Suppose that

B:L2(X,μ)×L2(Y,ν)B: L^{2}(X, \mu) \times L^{2}(Y, \nu) \rightarrow \mathbb{C}

satisfies the following:

B(f,g)=T(f)gdν, for all gL2(Y,ν)B(f, g)=\int T(f) g d \nu, \text { for all } g \in L^{2}(Y, \nu)

Show that such a T(f)T(f) is unique up to equality almost everywhere.
(b) the map TT constructed in part (a) is linear, and

T(f)2Cf2 for all fL2(X,μ)\|T(f)\|_{2} \leq C\|f\|_{2} \text { for all } f \in L^{2}(X, \mu)

Problem 4.

Let XX be a set and Σ\mathcal{F} \subseteq \Sigma be σ\sigma-algebras of subsets of XX. Let μ:Σ[0,1]\mu: \Sigma \rightarrow[0,1] be a probability measure.
(a) Given fL1(X,Σ,μ)f \in L^{1}(X, \Sigma, \mu) show that there is gL1(X,,μ)g \in L^{1}(X, \mathcal{F}, \mu) (i.e. a g:Xg: X \rightarrow \mathbb{C} which is L1L^{1} and \mathcal{F}-measurable) so that

Efdμ=Egdμ\int_{E} f d \mu=\int_{E} g d \mu

for all EE \in \mathcal{F}. If g̃L1(X,,μ)\widetilde{g} \in L^{1}(X, \mathcal{F}, \mu) is another such function, show that g=g̃g=\widetilde{g} almost everywhere.
(b) For fL1(X,Σ,μ)f \in L^{1}(X, \Sigma, \mu), denote the gg in part (a) by 𝔼(f)\mathbb{E}_{\mathcal{F}}(f). Show that for all hL(X,,μ),fL1(X,Σ,μ)h \in L^{\infty}(X, \mathcal{F}, \mu), f \in L^{1}(X, \Sigma, \mu) we have

fhdμ=𝔼(f)hdμ\int f h d \mu=\int \mathbb{E}_{\mathcal{F}}(f) h d \mu

Problem 5.

Let E[0,1]E \subseteq[0,1] be a Borel set with 0<m(E[a,b])<ba0<m(E \cap[a, b])<b-a for all 0a<b10 \leq a< b \leq 1 (you may assume the existence of such a set for this problem). Define f:[0,1][0,1]f:[0,1] \rightarrow[0,1] by f(x)=m(E[0,x])f(x)=m(E \cap[0, x]) (here mm is Lebesgue measure). Show that ff is continuous, strictly increasing, and that for almost every xEcx \in E^{c} we have that f(x)f^{\prime}(x) exists and is 0 . (It will be helpful to use the Lebesgue differentiation theorem).