Homepage Solution manuals Terence Tao An Introduction to Measure Theory Exercise 1.3.14 (Uniqueness of the Lebesgue integral)

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 [0,+] that obeys the following properties:

(i)
(Compatibility with the simple integral) If f is simple, then df = Simpdf.
(ii)
(Finite additivity) df + g =df +dg.
(iii)
(Horizontal truncation) lim n d min {f,n} = df.
(iv)
(Vertical truncation) lim n df 1{xd:xn} = df.

Answers

Recall that (ii) implies (f g) =f g whenever f g almost everywhere. Also, we can immediate yet another few useful properties:

(i)
(Monotonicity) If f g then df dg.derived using (ii) by observing g =f + (g f) =f +g f f.
(ii)
(Divisibility) If E d is a Lebesgue measurable set, then df =df 1E +df 1dEfollows directly from (ii) by noting that f = f 1E + f 1dE.
(iii)
(Equivalence) If f = g almost everywhere, then df =dg.
Let E be the null set on which fg. We then have f1E sup f1E = Simp d sup f1E = sup fSimp d1E = sup fm(E) = sup f0 = 0. Similarly g 1E = 0. But we also have by additivity (ii) that f =f1E+f1dE =f1dE =g1dE =g1dE+g1dE =g.

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 (hn)n such that f = lim nSimp dhn. That way the value of will be always dependent on the value of Simp d, and thus unique.

Pick an arbitrary 𝜖 > 0. By properties (iii) and (iv) we can find a n such that

f min {f,n} 1{xd:xN} 𝜖 2

The key observation at this point (somehow I missed this for a whole day) is that min {f,n} is a bounded Lebesgue measurable function. By Exercise 1.3.4 we thus can find a sequence of simple functions which uniformly converges to min {f,n} and is increasing. In other words, for the given 𝜖 we have a simple function h such that d (min {f,n} 1B(0,n),h) 𝜖(2 m(B(0,n))). 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:

min {f,n} 1B(0,n) h =min {f,n} 1B(0,n) h 1B(0,n) = (min {f,n} h) 1B(0,n) d (min {f,n} 1B(0,n),h) 1B(0,n) = d (min {f,n} 1B(0,n),h) ×1B(0,n) = d (min {f,n} 1B(0,n),h) × m(B(0,n)) 𝜖 2

We thus conclude

f Simpdh f min {f,n} 1{xd:xN} + 𝜖 2 𝜖

Since our choice of 𝜖 > 0 was arbitrary, we can easily construct a sequence (hn)n of increasing simple functions whose simple integrals converge to f. Notice that we also have the pointwise convergence of (hn)n to f. This is very important, since for any other integral satisfying the above properties, we can construct a similar sequence (hn)n f using the steps above, and the result will be

f = lim nSimpdhn = lim nSimpdhn =f

since for finite simple functions pointwise convergence lim nhn = lim nhn necessarily implies uniform convergence, and thus convergence in measure lim n hn = lim n hn.

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2020-08-30 00:00
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