\[
\newcommand{\C}{\mathbb{C}}
\newcommand{\haar}{\mathsf{m}}
\newcommand{\B}{\mathscr{B}}
\newcommand{\D}{\mathscr{D}}
\newcommand{\P}{\mathcal{P}}
\newcommand{\Q}{\mathbb{Q}}
\newcommand{\R}{\mathbb{R}}
\newcommand{\N}{\mathbb{N}}
\newcommand{\Z}{\mathbb{Z}}
\newcommand{\g}{>}
\newcommand{\l}{<}
\newcommand{\intd}{\,\mathsf{d}}
\newcommand{\Re}{\mathsf{Re}}
\newcommand{\area}{\mathop{\mathsf{Area}}}
\newcommand{\met}{\mathop{\mathsf{d}}}
\newcommand{\emptyset}{\varnothing}
\DeclareMathOperator{\borel}{\mathsf{Bor}}
\DeclareMathOperator{\baire}{\mathsf{Baire}}
\newcommand{\symdiff}{\mathop\triangle}
\]
Week 3 Coursework Test
- Put $X = \{0,1\}^\N$. For each finite subset $I$ of $\N$ and every function $\epsilon : I \to \{0,1\}$ define
\[
\mathsf{C}(I,\epsilon) = \bigcap_{i \in I} \, \{ x \in X : x(i) = \epsilon(i) \}
\]
and call any such subset of $X$ a cylinder set.
- Thinking of $X$ as the sample space for an infinite sequence of fair coin-tosses, what value in $[0,1]$ would you consider appropriate as the probability of $\mathsf{C}(I,\epsilon)$?
- Use your answer to i. to define an outer measure $\Xi$ on $\mathcal{P}(X)$ using cylinder sets. Verify that you have indeed defined an outer measure.
- It is proved in the notes that the collection of subsets of $\R$ satisfying the Carathéodory criterion for $\Lambda$ is a σ-algebra and that $\Lambda$ is a measure on that σ-algebra. Does that proof need to be changed in order to show that the collection $\mathscr{B}$ of subsets of $X$ satisfying the Carathéodory criterion for your $\Xi$ is a σ-algebra and that $\Xi$ is a measure on $\mathscr{B}$?
- Verify that every cylinder set belongs to $\mathscr{B}$ and that $\Xi(\mathsf{C}(I,\epsilon))$ agrees with your answer to i.
- Fix $f : \R \to [0,\infty)$ continuous and non-decreasing. Prove for every $a \l b$ that
\[
\int 1_{[a,b]} \cdot f \intd \lambda
\]
is equal to the Riemann integral of $f$ on $[a,b]$.