REAL ANALYSIS GENERAL EXAM AUGUST 2024

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 AA \subset \mathbb{R} be a Lebesgue measurable set of finite measure. For r{0}r \in \mathbb{R} \backslash\{0\}, let rA:={x:r1xA}r A:=\left\{x \in \mathbb{R}: r^{-1} x \in A\right\} and let ArA:=(ArA)(rAA)A \triangle r A:=(A \backslash r A) \cup(r A \backslash A). Show that

limr1m(ArA)=0\lim _{r \rightarrow 1} m(A \triangle r A)=0

Problem 2

Let μ\mu be a finite Borel measure on \mathbb{R}. For ξ\xi \in \mathbb{R}, define

μ̂(ξ):=e2πixξdμ(x)\widehat{\mu}(\xi):=\int_{\mathbb{R}} e^{-2 \pi i x \xi} d \mu(x)

Suppose that

limξ0μ̂(ξ)μ̂(0)ξ2=0\lim _{\xi \rightarrow 0} \frac{\widehat{\mu}(\xi)-\widehat{\mu}(0)}{\xi^{2}}=0

(a) Show that

x2dμ(x)=0\int_{\mathbb{R}} x^{2} d \mu(x)=0

(b) Deduce that for any open interval (a,b)(a, b) \subseteq \mathbb{R}, we have that

μ((a,b))={μ() if 0(a,b),0 if 0(a,b).\mu((a, b))= \begin{cases}\mu(\mathbb{R}) & \text { if } 0 \in(a, b), \\ 0 & \text { if } 0 \notin(a, b) .\end{cases}

(The measure μ\mu is a scalar multiple of the Dirac delta mass, though you do not need to prove this fact.)

Problem 3

Fix α(0,1]\alpha \in(0,1]. The space C0,α([0,1])C^{0, \alpha}([0,1]) of Hölder continuous functions consists of functions f:[0,1]f:[0,1] \rightarrow \mathbb{C} for which

f:=|f(0)|+supx,y[0,1]xy|f(x)f(y)||xy|α\|f\|:=|f(0)|+\sup _{\substack{x, y \in[0,1] \\ x \neq y}} \frac{|f(x)-f(y)|}{|x-y|^{\alpha}}

is finite. This is a vector space (though you do not need to prove this fact).
(a) Show that \|\cdot\| is a norm on C0,α([0,1])C^{0, \alpha}([0,1]).
(b) Show that (C0,α([0,1]),)\left(C^{0, \alpha}([0,1]),\|\cdot\|\right) is a Banach space.

Problem 4

Let ( X,,μX, \mathcal{M}, \mu ) be a σ\sigma-finite measure space. Let p[1,)p \in[1, \infty) and fLp(X,,μ)f \in L^{p}(X, \mathcal{M}, \mu). In what follows, you may freely use without proof the fact that the sets {xX:|f(x)|>α}\{x \in X:|f(x)|>\alpha\} and {(x,α)X×(0,):|f(x)|>α}\{(x, \alpha) \in X \times(0, \infty):|f(x)|>\alpha\} are measurable.
(a) Show that

X|f(x)|pdμ(x)=0αp1μ({xX:|f(x)|>α})dα\int_{X}|f(x)|^{p} d \mu(x)=\int_{0}^{\infty} \alpha^{p-1} \mu(\{x \in X:|f(x)|>\alpha\}) d \alpha

(b) Show that for all α>0\alpha>0,

μ({xX:|f(x)|>α})fppαp.\mu(\{x \in X:|f(x)|>\alpha\}) \leq \frac{\|f\|_{p}^{p}}{\alpha^{p}} .

Problem 5

Let ϕ𝒮(n)\phi \in \mathscr{S}\left(\mathbb{R}^{n}\right) be a fixed Schwartz function. The Fourier multiplier MM acts on functions fL2(n)f \in L^{2}\left(\mathbb{R}^{n}\right) according to the formula

Mf̂(ξ):=ϕ(ξ)f̂(ξ).\widehat{M f}(\xi):=\phi(\xi) \widehat{f}(\xi) .

That is, MM is the operation of taking the Fourier transform of ff, multiplying by the function ϕ(ξ)\phi(\xi), and then taking the inverse Fourier transform. Show that MM is a bounded linear map from L2(n)L^{2}\left(\mathbb{R}^{n}\right) to L2(n)L^{2}\left(\mathbb{R}^{n}\right).