Solve Rudin Remark 11.23: Proving Lebesgue Integrability

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Homework Help Overview

The discussion revolves around proving the Lebesgue integrability of a measurable and bounded function on a set with finite measure, as stated in Rudin's Remark 11.23. The participants are exploring the implications of the definitions and properties of Lebesgue integrals.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to connect the definition of Lebesgue integrability to the properties of the function and the measure, questioning how to establish bounds for the integral. Some participants suggest invoking the monotonicity of the integral and clarify the nature of simple functions, noting that disjoint sets can be formed from overlapping ones.

Discussion Status

The discussion is active, with participants providing insights into the definitions and properties relevant to the problem. There is an ongoing exploration of the necessary conditions for proving integrability, and some guidance has been offered regarding the structure of simple functions.

Contextual Notes

Participants are navigating the definitions and properties of Lebesgue integrals, particularly focusing on the implications of boundedness and measurability, as well as the countable additivity of measures. There is an acknowledgment of potential assumptions regarding the disjoint nature of sets involved in the integral.

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[SOLVED] Rudin Remark 11.23

Homework Statement


Prove: If f is measurable and bounded on E, and if [itex]\mu(E) < + \infty[/itex], then f is Lebesgue integrable on E.

Homework Equations


Here is how Rudin defines the Lebesgue integral. Everyone probably already knows this but anyway:

Suppose
(51) [tex]s(x) = \sum_{i=1}^n c_i K_{E_i} (x) \mbox{ (for x \in X, c_i >0)}[/tex]

(where K is the indicator function) is measurable, and suppose E is a measurable set. We define

(52) [tex]I_E (s) = \sum_{i=1}^n c_i \mu(E \cap E_i)[/tex]

If f is measurab;e and nonnegative, we define the Lebesgue integral of f over the set E as

(53) [tex]\int_E f d\mu = \sup I_E (s)[/tex]

where the sup is taken over all measurable simple functions s such that 0 \leq s \leq f.

Let f be measurable, and consider the two integrals

(55) [tex]\int_E f^+ d\mu \mbox{ and} \int_E f^- d\mu[/tex]

where [itex]f^+ = max(f,0)[/itex] and [itex]f^-= min(f,0)[/itex]. If at least one of the two integrals is finite, we define

(56) [tex]\int_E f d\mu = \int_E f^+ d\mu - \int_E f^- d\mu[/tex]

If both integrals on the RHS are finite, we say the f is Lebesgue integrable.

The Attempt at a Solution


Apparently this should follow directly from the definition, although I am having trouble figuring out why. Assume B is a bound for f. Then all of the c_i have to less then or equal to B (at least if E_i is nonempty). Then we someone need to get a bound for the I_E. So, we probably want to invoke the countable additivity of the set function mu but we then need to know that all of the [itex]E_i \cap E[/itex] are disjoint and we do not know that, right?
 
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Try to invoke the monotonicity of the integral.
 
The definition of a simple function is that the Ei are disjoint. If they're not, you can split them into new Ei that are disjoint. For instance, if
E1 = (0,1/2), c1 = 1
E2 = (1/4, 3/4), c2 = 2
E3 = (1/2, 1), c3 = 1.
you can easily separate the Ei and ci so that the new Ei are disjoint.
 
Also, the reason that this follows directly from the definition is that it is the definition. What are you trying to prove?
 

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