F is integrable if and only if its positive and negative parts are

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SUMMARY

The discussion centers on the integrability of measurable functions as defined in Avner Friedman's "Foundations of Modern Analysis." It establishes that a measurable function f is integrable if and only if its positive part f+ and negative part f- are integrable, or equivalently, if the absolute value |f| is integrable. The participants explore the proof structure, focusing on sequences of integrable simple functions that converge almost everywhere (a.e.) and the implications of Cauchy sequences in the L1 norm. The conversation highlights the necessity of precise ε-N arguments to demonstrate convergence in the context of integrability.

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Homework Statement



Problem 2.6.3. in "Foundations of modern analysis", by Avner Friedman. Let f be a measurable function. Prove that f is integrable if and only if f+ and f- are integrable, or if and only if |f| is integrable.

Homework Equations



Friedman defines "integrable" like this: An a.e. real-valued measurable function ##f:X\to\overline{\mathbb R}## is said to be integrable if there's a sequence ##\langle f_n\rangle## of integrable simple functions that's Cauchy in the mean and such that ##f_n\to f## a.e.

"Cauchy in the mean" means that it's a Cauchy sequence with respect to the L1 norm (which hasn't been defined at this point). In other words, ##\langle f_n\rangle## is Cauchy in the mean if for all ##\varepsilon>0## there's an ##N\in\mathbb Z^+## such that for all ##n,m\in\mathbb Z^+##,
$$\newcommand{\dmu}{\ \mathrm{d}\mu}
n,m\geq N\ \Rightarrow\ \int|f_n-f_m|\dmu<\varepsilon.$$

The Attempt at a Solution



I haven't looked at the "Cauchyness" yet. I'm still just focusing on the part about convergence a.e. If ##f^+, f^-## are integrable, it's easy to show that f is, because there are sequences ##\langle (f^\pm)_n\rangle## that converge a.e. to ##f^\pm##, and we just need to find another sequence ##\langle f_n\rangle## that converges a.e. to f. All we have to do is to define ##f_n=(f^+)_n-(f^-)_n##, and the result ##f_n\to f## a.e. follows from
$$|f_n-f|=|(f^+)_n-(f^-)_n-f^+-f^-|\leq|(f^+)_n-f^+|+|(f^-)_n-f^-|.$$ The proof that |f| is integrable is very similar. It's the converses of these results that I'm struggling with. In particular, how do I prove that if f is integrable, then its positive and negative parts are integrable too?

It actually looks impossible to me. At least if I start with the "obvious" idea. Let ##\langle f_n\rangle## be a sequence of integrable simple functions that's Cauchy in the mean and such that ##f_n\to f## a.e. Then break each ##f_n## into positive and negative parts, and define the sequences ##\langle (f^\pm)_n\rangle## by ##(f^\pm)_n=(f_n)^\pm##. (I'll just write ##f^\pm_n## from now on).

Consider an x such that f(x)=0. We have ##f^\pm(x)=0##, but I don't see a reason why we can't have something like ##f^\pm_n\to\pm 1##.

On the other hand, if I assume that both f and |f| are integrable (instead of just f), I can prove that f+ and f- are integrable with a simple triangle inequality argument. :confused:
 
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So your problem is: If f_n\rightarrow f a.e. with f_n simple, then also f_n^+\rightarrow f^+ a.e.

This is what you want to prove right??

But f^+=f\vee 0. So what you actually need to prove is that if x_n\rightarrow x, then x_n\vee 0\rightarrow x\vee 0. That doesn't sound too complicated to prove.

Am I missing something?
 
Yes, that's what I want to prove, and no I don't think you missed anything. I kept getting confused by inequalities like
$$|f^+_n(x)-f^+(x)|\leq |f_n(x)-f(x)|+|f^-_n(x)-f^-(x)|.$$ I see now that when x is such that f(x)>0, I can make the second term =0, not just <ε, by choosing ε<f(x) and N such that n≥N implies ##|f_n(x)-f(x)|<\varepsilon##. So it looks like what I missed is that I have to choose ε small enough. Thanks for helping me figure that out.
 

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