% ================================================================= % Lecture 4 % Primary source: handwritten notes (Mathpix mmd) % Fallback: kashlak.pdf (only for OCR/notation/curriculum clarity) % ================================================================= \section[Lecture 4 -- Lebesgue Measure; Non-Measurable Sets]{Lecture 4 \textemdash{} Lebesgue Measure; Non-Measurable Sets; Product Measures and Independence} \label{sec:lec04} The Carath\'eodory and Dynkin machinery of Lecture~3 is now put to work. We build Lebesgue measure on \((0,1]\) (and on \(\R\)), exhibit a Vitali set that no translation-invariant measure can size, then sketch how the same toolkit yields product measures and independence of \(\sigma\)-fields. \subsection{Lebesgue measure on \texorpdfstring{$(0,1]$}{(0,1]} and \texorpdfstring{$\R$}{R}} Take \(\Omega=(0,1]\) (or \(\Omega=\R\)) and let \(\Acal\) be the collection of all finite unions of half-open intervals \((a,b]\), together with \(\emptyset\). The target is a set function with \[ \lambda\bigl((a,b]\bigr) \;=\; b-a, \] extended by additivity to \(\Acal\). \begin{proposition}{$\Acal$ is a $\pi$-system and a ring}{halfopen-ring} The collection \(\Acal\) of finite (disjoint) unions of half-open intervals \((a,b]\subseteq(0,1]\), together with \(\emptyset\), is a \(\pi\)-system: intersections of half-open intervals are again half-open intervals, \[ (a,b]\cap(c,d] \;=\; \begin{cases} \emptyset & \text{if } b\le c,\\ (c,b] & \text{if } a\le c1. \end{cases} \] For \(A\subseteq(0,1]\) and \(x\in(0,1]\), set \(A+x=\{y\in(0,1]: y-x\in A\}\), with subtraction taken mod~\(1\). \end{definition} \begin{figure}[h] \centering \begin{tikzpicture}[>=Stealth] \draw[thick, deepnavy] (0,0) circle (1.6); \node[above] at (0,1.6) {\small \(\tfrac12\)}; \node[below] at (0,-1.6) {\small \(0\equiv 1\)}; \draw[->, thick, exampleblue] (1.6,0) arc[start angle=0, end angle=120, radius=1.6]; \node at (-0.95,1.05) {\small \(\bullet\)}; \node at (-1.35,1.30) {\small \(x\oplus y\)}; \node[right=2pt] at (1.6,0) {\small \(\tfrac14\)}; \end{tikzpicture} \caption{Addition mod \(1\) wraps \((0,1]\) onto a circle: shifts \(A\mapsto A+x\) become rotations.} \label{fig:circle-mod-one} \end{figure} \begin{lemma}{Translation invariance on Borel sets}{translation-invariance} Let \(\Lcal=\{A\in\Mcal_\lambda:\lambda(A+x)=\lambda(A)\text{ for all }x\in(0,1]\}\). Then \(\Lcal\) is a \(\lambda\)-system, and \(\Acal\subseteq\Lcal\) since \(\lambda((a,b]+x)=\lambda((a+x,b+x])=b-a\). By Dynkin's \(\pi\)-\(\lambda\) theorem, \(\Bcal=\sigma(\Acal)\subseteq\Lcal\); equivalently, \(\lambda\) is translation invariant on every Borel set. \end{lemma} \begin{example}[Vitali set] Define an equivalence relation on \((0,1]\) by \(x\sim y \iff x-y\in\Q\); for instance \(\tfrac1{\sqrt2}\sim \tfrac1{\sqrt2}+\tfrac1{100}\). By the Axiom of Choice pick a set \(H\subseteq(0,1]\) containing exactly one representative from each equivalence class. Then for distinct \(r_1,r_2\in\Q\cap(0,1]\) we have \((H+r_1)\cap(H+r_2)=\emptyset\), and \[ (0,1] \;=\; \bigsqcup_{r\in\Q\cap(0,1]}(H+r). \] If \(H\) were Lebesgue measurable, countable additivity together with \cref{lem:translation-invariance} would give \[ 1 \;=\; \lambda\bigl((0,1]\bigr) \;=\; \sum_{r\in\Q\cap(0,1]}\lambda(H+r) \;=\; \sum_{r\in\Q\cap(0,1]}\lambda(H), \] which is \(0\) if \(\lambda(H)=0\) and \(\infty\) if \(\lambda(H)>0\)\,---\,either way a contradiction. Hence \(H\notin\Mcal_\lambda\). \end{example} \begin{remark} This shows the strict inclusion \(\Mcal_\lambda\subsetneq\Pcal((0,1])\). A related fun fact: there is no infinite-dimensional analogue of Lebesgue measure: the only locally finite, translation-invariant Borel measure on an infinite-dimensional separable Banach space is the trivial one. \end{remark} \subsection{Product measures, briefly} The half-open construction generalises directly to \(\R^p\) using half-open rectangles. \begin{definition}{Lebesgue measure on $\R^p$}{lebesgue-rp} On \(\R^p\), define \[ \lambda^{(p)}\bigl((a_1,b_1]\times\cdots\times(a_p,b_p]\bigr) \;=\; \prod_{i=1}^{p}\lambda\bigl((a_i,b_i]\bigr) \;=\; \prod_{i=1}^{p}(b_i-a_i). \] The collection of half-open rectangles is a \(\pi\)-system, and the extension theorem gives a unique measure on \(\Bcal(\R^p)\). For \(p=2\), \[ \lambda^{(2)}\bigl((a,b]\times(c,d]\bigr) \;=\; (b-a)(d-c) \;=\; \lambda\bigl((a,b]\bigr)\,\lambda\bigl((c,d]\bigr). \] \end{definition} \begin{definition}{Product measure}{product-measure} Given two \(\sigma\)-finite measure spaces \((\Xset,\Xcal,\mu)\) and \((\Yset,\Ycal,\nu)\), the \emph{product measure space} is \((\Xset\times\Yset,\,\Xcal\times\Ycal,\,\pi)\), where the product \(\sigma\)-field is \[ \Xcal\times\Ycal \;=\; \sigma\bigl(\{A\times B:A\in\Xcal,\,B\in\Ycal\}\bigr), \] and \(\pi\) is uniquely determined by \[ \pi(A\times B)\;=\;\mu(A)\,\nu(B),\qquad A\in\Xcal,\;B\in\Ycal. \] \end{definition} \begin{remark} The product of two Borel \(\sigma\)-fields satisfies \(\Bcal(\Xset)\times\Bcal(\Yset)\subseteq\Bcal(\Xset\times\Yset)\), and equality holds in ``nice'' (e.g.\ second-countable) settings, including \(\Xset=\Yset=\R\). \end{remark} \subsection{Independence} Switch perspective from measure theory to probability: let \((\Omega,\Fcal,\mu)\) be a probability space. \begin{definition}{Independence for sets}{indep-sets} A countable collection \(\{A_i\}_{i\in I}\subseteq\Fcal\) is \emph{independent} if, for every finite \(J\subseteq I\), \[ \mu\!\left(\bigcap_{j\in J}A_j\right) \;=\; \prod_{j\in J}\mu(A_j). \] \end{definition} \begin{example}[Standard 52-card deck] Draw one card uniformly at random and let \(A_1=\{\text{red}\}\), \(A_2=\{\text{heart or club}\}\), \(A_3=\{\text{queen}\}\). Then \[ \mu(A_1)=\tfrac12,\quad \mu(A_2)=\tfrac12,\quad \mu(A_3)=\tfrac1{13}, \] and one checks \(\mu(A_1\cap A_2)=\tfrac14\), \(\mu(A_1\cap A_3)=\tfrac1{26}\), \(\mu(A_2\cap A_3)=\tfrac1{26}\), \(\mu(A_1\cap A_2\cap A_3)=\tfrac1{52}\), so the three events are independent. \end{example} \begin{definition}{Independence for $\sigma$-fields}{indep-sigma-fields} A countable collection \(\{\Fcal_i\}_{i\in I}\) of sub-\(\sigma\)-fields of \(\Fcal\) is \emph{independent} if every selection \(\{A_i\in\Fcal_i:i\in I\}\) is an independent collection of sets in the sense of \cref{def:indep-sets}. \end{definition} The next theorem is the workhorse result: independence on a generating \(\pi\)-system already forces independence of the generated \(\sigma\)-fields. \begin{theorem}{Independence from $\pi$-systems}{indep-pi} Let \(\Acal_1,\Acal_2\subseteq\Fcal\) be \(\pi\)-systems. If \[ \mu(A_1\cap A_2) \;=\; \mu(A_1)\,\mu(A_2) \quad\text{for all } A_1\in\Acal_1,\;A_2\in\Acal_2, \] then \(\sigma(\Acal_1)\) and \(\sigma(\Acal_2)\) are independent. \end{theorem}