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Exercise 1.3.14 (Uniqueness of the Lebesgue integral)
Show that the Lebesgue integral is the only map from the unsigned Lebesgue measurable functions to that obeys the following properties:
- (i)
- (Compatibility with the simple integral) If is simple, then .
- (ii)
- (Finite additivity) .
- (iii)
- (Horizontal truncation) .
- (iv)
- (Vertical truncation) .
Answers
Recall that (ii) implies whenever almost everywhere. Also, we can immediate yet another few useful properties:
- (i)
- (Monotonicity) If then .derived using (ii) by observing .
- (ii)
- (Divisibility) If is a Lebesgue measurable set, then follows directly from (ii) by noting that .
- (iii)
- (Equivalence) If
almost everywhere, then .
Let be the null set on which . We then have . Similarly . But we also have by additivity (ii) that .
Now we somehow need to connect the area where two integrals and agree (i.e., simple functions) with the rest of the domain (i.e., Lebesgue measurable functions). We will try to construct a sequence such that . That way the value of will be always dependent on the value of , and thus unique.
Pick an arbitrary . By properties (iii) and (iv) we can find a such that
The key observation at this point (somehow I missed this for a whole day) is that is a bounded Lebesgue measurable function. By Exercise 1.3.4 we thus can find a sequence of simple functions which uniformly converges to and is increasing. In other words, for the given we have a simple function such that . The big difference is that the uniform convergence (unlike pointwise convergence) allows us to draw conclusions about the corresponding integrals using the few properties given in the theorem:
We thus conclude
Since our choice of was arbitrary, we can easily construct a sequence of increasing simple functions whose simple integrals converge to . Notice that we also have the pointwise convergence of to . This is very important, since for any other integral satisfying the above properties, we can construct a similar sequence using the steps above, and the result will be
since for finite simple functions pointwise convergence necessarily implies uniform convergence, and thus convergence in measure .