Sequence of integrable functions (f_n) conv. to f

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Homework Help Overview

The discussion revolves around the integrability of a limit function \( f \) derived from a sequence of integrable functions \( f_n \) on the interval \([a,b]\). Participants explore the implications of uniform convergence and the conditions under which \( f \) remains integrable.

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Approaches and Questions Raised

  • Participants discuss the need to establish a partition \( P \) for \( f \) to show integrability, drawing parallels to the integrability of \( f_n \). There is mention of using upper and lower sums in the context of Riemann integrability. Some suggest leveraging measure theory concepts to argue about the continuity of the limit function.

Discussion Status

Several approaches are being explored, including measure-theoretic arguments and Riemann integrability conditions. Participants are actively questioning how to apply these concepts to demonstrate the integrability of \( f \) and are sharing insights on the implications of uniform convergence.

Contextual Notes

There are references to the properties of functions that are Riemann integrable, including boundedness and the measure of discontinuities. Some participants express uncertainty about the application of these concepts in their current coursework.

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Homework Statement
Let ##(f_n)## be a sequence of integrable functions on ##[a,b]##, and suppose ##f_n \rightarrow f## uniformly on ##[a,b]##. Prove that ##f## is integrable and
$$\int_a^b f = \lim_{n\rightarrow\infty} \int_a^b f_n$$
Relevant Equations
.
##\textbf{Attempt at solution}##: If I can show that ##f## is integrable on ##[a,b]##, then for the second part I get :

Let ##\frac{\varepsilon}{b-a} > 0##. By definition of uniform convergence, there exists ##N = N(\varepsilon) > 0## such that for all ##x \in [a,b]## we have ##\vert f(x) - f_n(x) \vert < \frac{\varepsilon}{b-a}##. This gives us,

$$\vert \int_a^b f(x)dx - \int_a^b f_n(x)dx \vert = \vert \int_a^b f(x) - f_n(x) dx \vert \le \int_a^b \vert f(x) - f_n(x) \vert dx < \int_a^b \frac{\varepsilon}{b-a}dx = \varepsilon$$ when ##n > N##.

It follows ##\lim_{n\rightarrow\infty} \int_a^b f_n(x) dx = \int_a^b f(x) dx## for all ##x \in [a,b]##. []

For the first part I am stuck. Let ##\varepsilon > 0##. Then I need a partition ##P## of ##[a,b]## such that ##U(f, P) - L(f, P) < \varepsilon##. We're given that for any ##n##, there is a partition ##P## such that ##U(f_n, P) - L(f_n, P) < \varepsilon##. How can I proceed?
 
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fishturtle1 said:
For the first part I am stuck. Let ##\varepsilon > 0##. Then I need a partition ##P## of ##[a,b]## such that ##U(f, P) - L(f, P) < \varepsilon##. We're given that for any ##n##, there is a partition ##P## such that ##U(f_n, P) - L(f_n, P) < \varepsilon##. How can I proceed?

The upper and lower sums work like integrals in a way, so you can use a similar technique for these as you used to show part b).
 
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Here is a measure theoretic solution which you may appreciate later (maybe you treat this theorem in a first course, probably not).

We use the following result (see any text on measure theory or more advanced texts on Riemann-integration).
A function is Riemann-integrable if and only if it is bounded and its set of discontinuities has (Lebesgue) measure ##0##.

The points where atleast one ##f_n## is discontinuous has measure zero so the limit of the ##f_n's## is almost surely continuous as uniform convergence preserves continuity. Hence the limit is integrable.
 
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PeroK said:
The upper and lower sums work like integrals in a way, so you can use a similar technique for these as you used to show part b).
We'll show ##f## is integrable on ##[a,b]##.

Proof: Let ##\frac{\varepsilon}{4(b-a)} > 0##. Then there is ##N = N(\frac{\varepsilon}{4(b-a)}) > 0## such that for ##x \in [a,b]## and ##n > N## implies $$\vert f_n(x) - f(x) \vert < \frac{\varepsilon}{4(b-a)}$$ i.e
$$-\frac{\varepsilon}{4(b-a)} < f(x) - f_n(x) < \frac{\varepsilon}{4(b-a)} $$
Fix ##n > N##. For ##\frac{\varepsilon}{2} > 0##, there exists partition ##P = \lbrace a = t_0 < t_1 < \dots < t_k = b \rbrace## such that ##U(f_n, P) - L(f_n, P) < \frac{\varepsilon}{2}##.

Now, $$U(f - f_n, P) = \sum_{i=1}^{k} M(f - f_n, [t_{i-1}, t_i]) \cdot (t_i - t_{i-1}) < \sum_{i=1}^{k} \frac{\varepsilon}{4(b-a)} \cdot (t_i - t_{i-1}) = \frac{\varepsilon}{4(b-a)} \sum_{i=1}^{k} (t_i - t_{i-1}) = \frac{\varepsilon}{4}$$

Also, $$L(f - f_n, P) = \sum_{i=1}^{k}m(f - f_n, [t_{i-1}, t_i])\cdot (t_i - t_{-1}) > \sum_{i-1}^{k} -\frac{\varepsilon}{4(b-a)}\cdot(t_i - t_{i-1}) = - \frac{\varepsilon}{4}$$

Thus, $$U(f, P) - L(f, P) \le U(f - f_n, P) + U(f_n, P) - (L(f - f_n, P) + L(f_n, P)) < \varepsilon$$
It follows that ##f## is integrable on ##[a,b]##. []
 
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Math_QED said:
Here is a measure theoretic solution which you may appreciate later (maybe you treat this theorem in a first course, probably not).

We use the following result (see any text on measure theory or more advanced texts on Riemann-integration.The points where atleast one ##f_n## is discontinuous has measure zero so the limit of the ##f_n's## is almost surely continuous as uniform convergence preserves continuity. Hence the limit is integrable.
Thanks for posting this. I think I am learning about this, this upcoming semester.
 
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fishturtle1 said:
Thanks for posting this. I think I am learning about this, this upcoming semester.

It's a very powerful tool and actually weird it doesn't occur in much places. For example, it immediately implies that continuous functions, monotonic functions, step-functions, functions with countably many discontinuities (e.g. https://en.wikipedia.org/wiki/Thomae's_function) are all Riemann-integrable. It can also be used to quickly show that something is not Riemann-integrable. For example, an indicator function on the rationals or the Cantor set can not be Riemann-integrable (note that these become integrable if one considers the Lebesgue integral instead of the Riemann-integral).
 
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