Remark 11.1.1 (General Plan).label

  1. (1)

    General Measure Theory

    1. (a)

      Caratheodory Construction


  2. (2)

    Integration

    1. (a)

      Measurable Sets and Functions

    2. (b)

      Fatou Lemma

    3. (c)

      Monotone/Dominated Convergence


  3. (3)

    Radon-Nikodym Derivative

Let $E\suf \R^{n}$ be a bounded domain and suppose $\pd\cl{E}$ is piecewise smooth, then $E$ is regular and the volume of $E$ is given by

\begin{align*}\text{vol}(E)=\abs{E}=\integral{E}{}dx_{1}\cds dx_{n}\end{align*}

interpreted as a Riemann Integral. The extension of $\text{vol}(E)=\abs{E}$ to Lebesgue measurable sets is denoted by $m(E)$ called the Lebesgue measure of $E$ with several properties:

  1. (1)

    If $E$ is regular then $\abs{E}=m(E)$

  2. (2)

    $E\supf E'\implies m(E)\geq m(E')$

  3. (3)

    Countable Additivity

The set of measurable functions is closed under taking limits and for $E\suf\R^{n}$ regular, $f\in C^{0}(\cl{E})$ then $\integral{E}{}fdm=\integral{E}{}f(x_{1},...,x_{n})dx_{1}\cds dx_{n}$ Let $P=\curl{x_i}_{0}^{n}$ be partition of $[a,b]$ then $a=x_{0}<x_{1}<\cds<x_{n}=b$. Let $f:[a,b]\to\R$ be bounded then the lower and upper Riemann Sums are given by

\begin{align*}L(f,P)=\sums{n }{j=1}(x_{j}-x_{j-1})\parens{\INF{[x_{j-1},x_j]}f(x)}&&U(f,P)=\sums{n }{j=1}(x_{j}-x_{j-1})\parens{\SUP{[x_{j-1},x_j]}f(x)}\end{align*}

and for any refinement $P'=P\cup \curl{y_1,...,y_m}\supf P$ we have

\begin{align*}L(f,P)\leq L(f,P')\leq U(f,P')\leq U(f,P)\end{align*}

By monotonicity $L(f)=\define \SUP{P}L(f,P),U(f)\define\INF{P}U(f,P)$ exists. Given $f:[a,b]\to \R$ bounded we say that $f$ is Riemann Integrable and write $f\in RI([a,b])$ if $L(f)=U(f)$. If $f\in C^{0}*([a,b])$ then $f\in RI([a,b])$. Indeed for any $\e>0$ there exists a partition such that $\abs{U(f,P_\e)-L(f,P_\e)}<\e$ hence by taking limit $\abs{U(f)-L(f)}<\e$ and since $\e>0$ was arbitrary, $U(f)=L(f)$. [1]

  1. ”Counter Examples for these always comes from AC, which I found rather disturbing”- Tothkeyboard_return

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