Proof of [tex]\int\limits_{A}f=\int\limits_{\mathbb{R}}f{1}_A[/tex]

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Discussion Overview

The discussion revolves around proving the equality of integrals over a set \( A \) and the entire real line \( \mathbb{R} \) using the characteristic function of \( A \). The focus is on the Lebesgue integral and its properties, particularly in relation to simple functions and the application of the Monotone Convergence Theorem (MCT).

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant asserts that the property can be proven for simple functions and seeks to extend this to non-simple functions by showing a specific equality involving supremums.
  • Another participant references an external proof link, suggesting that the proof exists elsewhere.
  • A different participant proposes using the Monotone Convergence Theorem to construct a sequence of simple functions that converge to the nonnegative measurable function, leading to the desired equality.
  • Another participant introduces a continuity argument involving step functions and the L1 norm, suggesting that since the property holds for step functions, it extends to all functions due to the density of step functions in L1.

Areas of Agreement / Disagreement

Participants express various approaches to proving the statement, but there is no consensus on a single method or resolution of the proof. Multiple competing views and methods remain present in the discussion.

Contextual Notes

The discussion includes assumptions about the properties of measurable functions and the applicability of the Monotone Convergence Theorem, which may not be universally accepted without further clarification.

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\text{ Let }f:\mathbb{R}\to [0,\infty] \text{ be a measurable function and }A\subset \mathbb{R}Then, show that
\begin{equation}
\int\limits_{A}f=\int\limits_{\mathbb{R}}f{1}_A \tag{1}
\end{equation}
\text{ where ${1}_A$ is the characteristic function of $A$ defined as }
\begin{equation}
{1}_A(x)=\begin{cases}1 & \text{if $x\in A$,}
\\
0 &\text{if $x\notin A$.}
\end{cases} \tag{2}
\end{equation}
\text{ and $\int\limits_{A}f$ is the Lebesgue integral of $f$ on $A$ defined as:}
\begin{equation}
\int\limits_{A}f=\sup\left\{\int\limits_{A}s:0\le s\le f\text{ and }s\text{ is simple}\right\} \tag{3}
\end{equation}

I can easily prove this property for simple functions so take this for granted:

\begin{equation}
\int\limits_{A}s=\int\limits_{\mathbb{R}}s{1}_A \tag{4}
\end{equation}

\text{where $s:\mathbb{R}\to [0,\infty]$ is a simple function. Thus to prove (1) we need to show that:}
\begin{gather}
\sup\left\{\int\limits_{A}s:0\le s\le f\text{ and }s\text{ is simple}\right\}=\sup\left\{\int\limits_{\mathbb{R}}s:0\le s\le f{1}_A\text{ and }s\text{ is simple}\right\}\notag\\
\sup\left\{\int\limits_{\mathbb{R}}s{1}_A:0\le s\le f\text{ and }s\text{ is simple}\right\}=\sup\left\{\int\limits_{\mathbb{R}}s:0\le s\le f{1}_A\text{ and }s\text{ is simple}\right\} \tag{5}
\end{gather}

My question is how do we prove (5)?
 
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The statement can be easily shown via the MCT.
 
Specifically, I was thinking something like this:

the statement is obvious for simple functions. Let f be some nonnegative measurable function on \mathbb{R}. Construct a sequence of simple functions \{s_n\}_{n=1}^{\infty} so that s_n(x) \uparrow f(x) as n \to \infty. Then we also have that (s_n 1_A)(x) \uparrow (f 1_A)(x).

By the monotone convergence theorem, we have that \int_A s_n \to \int_A f as n \to \infty and that \int_{\mathbb{R}} s_n 1_A \to \int_{\mathbb{R}} f 1_A as n \to \infty.

But we know that for each n, \int_{\mathbb{R}} s_n 1_A = \int_A s_n. So we have that \int_A s_n \to \int_{\mathbb{R}} f 1_A. But limits of real sequences are unique, so it follows that \int_A f = \int_{\mathbb{R}} f 1_A.
 
Let L(f) = ∫Af-∫ℝf1A. We note L(s) = 0 for all step maps. Since L is continuous in the L1 norm and step maps are dense in L1 we have that L(f) = 0 for all f.
 

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