Lebesgue Integration of Simple Functions .... Lindstrom, Lemma 7.4.6 ...

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SUMMARY

The discussion focuses on the proof of Lemma 7.4.6 from Tom L. Lindstrom's book, "Spaces: An Introduction to Real Analysis," specifically regarding the limit of integrals of simple functions. The key assertion is that for any numbers \(a < b\) and \(m < \mu(B)\), the limit \(\lim_{n \to \infty} \int_B f_n d\mu \geq b \mu(B)\) must hold. Participants clarify that the notation \(f_n(x) \uparrow b\) indicates a non-decreasing sequence of functions, which is crucial for the proof's validity. The discussion emphasizes the importance of understanding limits and inequalities in measure theory.

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  • Understanding of Lebesgue integration and measure theory.
  • Familiarity with the concepts of limits and inequalities in mathematical analysis.
  • Knowledge of simple functions and their properties in the context of integration.
  • Experience with the notation and terminology used in real analysis, particularly in the context of sequences of functions.
NEXT STEPS
  • Study the proof of the Monotone Convergence Theorem in measure theory.
  • Explore the properties of non-decreasing sequences of functions in Lebesgue integration.
  • Review the concept of limits in the context of integrals and their implications in analysis.
  • Examine additional examples of simple functions and their integrals to solidify understanding.
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Students and researchers in real analysis, particularly those studying measure theory and Lebesgue integration, as well as educators seeking to clarify the concepts of limits and inequalities in mathematical proofs.

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I need help in order to fully understand Lindstrom's proof of Lemma 7.4.6 concerning the Lebesgue integration of an increasing sequence of simple functions ...
I am reading Tom L. Lindstrom's book: Spaces: An Introduction to Real Analysis ... and I am focused on Chapter 7: Measure and Integration ...

I need help with the proof of Lemma 7.4.6 ...

Lemma 7.4.6 and its proof read as follows:
Lindstrom - Lemma  7.4.6 .png


In the above proof by Lindstrom we read the following:

" ... ... Since this holds for any number ##a## less than ##b## and any number ##m## less than ##\mu (B)##, we must have ##\lim_{ n \to \infty } \int_B f_n d \mu \geq b \mu (B)##. ... ... "I need help in order to show, formally and rigorously, that ##\lim_{ n \to \infty } \int_B f_n d \mu \geq b \mu (B)## ... ...My thoughts are that we could assume that ##\lim_{ n \to \infty } \int_B f_n d \mu \lt b \mu (B)## ... ... and proceed to demonstrate a contradiction ... but I'm not sure how to formally proceed ... ...

Help will be much appreciated ...

Peter

=================================================================================================================


Readers of the above post may be assisted by access to Lindstrom's introduction to the integration of simple functions ... so I am providing access to the relevant text ... as follows:
Lindstrom - 1 - Section 7.4 ... Integration of Simple Functions ... Part 1... .png

Lindstrom - 2 - Section 7.4 ... Integration of Simple Functions ... Part 2 ... .png


Hope that helps ...

Peter
 
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Note that ##L:= \lim_n \int_B f_n d \mu## always exists (possibly with value ##\infty##), because it is the limit of an increasing sequence.

The claim the proof makes is:

$$\forall m < \mu(B), \forall a < b : am \leq L \implies b\mu(B) \leq L$$

Fix ##a < b##, taking the limit ##m \to \mu(B)-## (limit from the left) of ##am \leq L##, we obtain ##a \mu(B) \leq L##. Since this holds for all ##a < b##, you can take the limit ##a \to b-## (again limit from the left) to obtain ##b \mu(B) \leq L##.

Basically, this boils down to showing that limits preserve (non-strict) inequalities of functions, which you probably already know since you are studying measure theory.
 
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The answer lies in our total freedom to choose both ##a\in(0,b)## and ##m\in(0,\mu(B))##. Let ##a=b-h## and ##m=\mu(B)-h## where we can choose any ##h## such that ##0<h<\min(b,\mu(B))##.
Then

\begin{align*}
\lim_{n\to\infty} \int_B f_n\ d\mu
&\ge \lim_{n\to\infty} am
=am
= (b-h)(\mu(B)-h)
= (b\mu(B)-h\mu(B) -bh +h^2)\\
& =b\mu(B)-h\mu(B) -bh +h^2
> b\mu(B)-h(\mu(B)+b)
\end{align*}

whence
\begin{equation*}
\lim_{n\to\infty} \int_B f_n\ d\mu > b\mu(B)-h(\mu(B)+b)\ \ \ \textrm{(A)}
\end{equation*}
Now suppose the contrary of the theorem's result, that ##\lim_{n\to\infty} \int_B f_n\ d\mu = b\mu(B)-k## for some ##k>0##.

Then choose ##h= \min\left(b/2,\mu(B)/2, \frac k{2(\mu(B)+b)}\right)##, which we noted above that we are free to do. Substitute that expression for ##h## into RHS of (A) and you will get a contradiction:
$$\lim_{n\to\infty} \int_B f_n\ d\mu > b\mu(B)-k/2
> b\mu(B)-k = \lim_{n\to\infty} \int_B f_n\ d\mu$$
 
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Thanks to Andrew and Math_QED for most helpful posts ...

Working carefully through your proofs now ...

BUT ... I have another question ...

In the above proof by Lindstrom we read the following:

" ... ... Since ##f_n (x) \uparrow b## for all ##x \in B## ... ... "Unless I am misunderstanding the notation, ##f_n (x) \uparrow b## means ##f_n## tends to ##b## from below ... but ... all we are given is that ##\lim_{n \to \infty } f_n (x) \geq b## which surely is not the same ...

Can someone please clarify this issue ...

Peter
 
Last edited:
Math Amateur said:
Thanks to Andrew and Math_QED for most helpful posts ...

Working carefully through your proofs now ...

BUT ... I have another question ...

In the above proof by Lindstrom we read the following:

" ... ... Since ##f_n (x) \uparrow b## for all ##x \in B## ... ... "Unless I am misunderstanding the notation, ##f_n (x) \uparrow b## means ##f_n## tends to ##b## from below ... but ... all we are given is that ##\lim_{n \to \infty } f_n (x) \geq b## which surely is not the same ...

Can someone please clarify this issue ...

Peter

That notation means that the sequence is non-decreasing, which is a hypothesis.
 
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Oh ... OK ... thanks ...

Peter
 
Math Amateur said:
In the above proof by Lindstrom we read the following:

" ... ... Since ##f_n (x) \uparrow b## for all ##x \in B## ... ... "Unless I am misunderstanding the notation, ##f_n (x) \uparrow b## means ##f_n## tends to ##b## from below
It is justified by the theorem stating that ##\{f_n\}## is an "increasing sequence of non-negative simple functions." By "increasing", it means that ##\forall x:\ \forall n:\ f_{n+1}(x) > f_n(x)##.
 

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