Homepage Solution manuals Terence Tao An Introduction to Measure Theory Exercise 1.3.4 (Bounded unsigned Lebesgue measurable functions)

Exercise 1.3.4 (Bounded unsigned Lebesgue measurable functions)

Let f : d [0,+]. Show that f is bounded unsigned measurable function if and only if f is the uniform limit of bounded simple functions.

Answers

  • Suppose that (fn)n is a sequence of unsigned bounded functions which converge to f:

    𝜖 > 0N n N : d(fn,f) 𝜖

    and we also assumed that d(fn,0) Mn for all n . By the triangle inequality we thus have

    d(f,0) d(f,fn) + d(fn,0)

    and since both quantities are finite, we conclude that f is bounded by as well. Since uniform convergence implies pointwise convergence, f must be unsigned Lebesgue measurable.

  • By Lemma 1.3.9 (iv) f is the supremum of an increasing sequence (fn)n of (1) unsigned simple (2) bounded functions with (3) finite measure support. This has already proven most of the properties of (fn)n that we needed to demonstrate. The only thing that is left to verify is the uniform convergence. The only additional assumption that we have here and did not have in Lemma 1.3.9 (iv) is that f is bounded; obviously we need to profit from this. Pick an arbitrary 𝜖 > 0. By the finiteness of f we have for all x d:

    𝜖 > 0n : d(fn(x),f(x)) 𝜖

    But we only have finite number of values c1,,cm that fn can take on, and we can divide the domain d into f1(c1) f1(cn). By the pointwise convergence (supremum) we can find m values n1,,nm such that d(fn(x),f(x)) 𝜖 for all x f1(ci). Set N := max {n1, ,nm}. We then have

    𝜖 > 0N : d(fn(x),f(x)) 𝜖 for all x d

    Using the countable axiom of choice we can construct a subsequence (fNi)i such that Ni and x d we have d(fNi(x),f(x)) 1i. Since fn are increasing, we also have this property for all n > Ni. In other words,

    1 i > 0Ni n > Ni : d(fn,f) 1 i

    as desired.

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2020-08-30 00:00
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  • In the forward implication, in the line that starts "By pointwise convergence (suprenum), are you missing a (sub) subscript on the $d(f_n(x), f(x))$? Should it be $d(f_{n_i}(x),f(x))$?
    kvanvels2022-03-31

For the backward implication, I follow the solution by Yaver Gulusoy.

For the forward implication, define M = sup xdf(x). Consider a sequence of simple functions {fn}n defined by

fn(x) = M 2n2n Mf(x).

Where 𝜃 is the "floor" of 𝜃, the greatest integer less than or equal to 𝜃.

This functions in this sequence are simple because for each n , fn only can take on the values between 0 and M in steps of M2n.

I claim that this sequence converges uniformly to f. Indeed, for 𝜖 > 0, let N be such that M2N 𝜖. Then for n > N and x d we have

|f(x) fn(x)| M 2n |2n Mf(x) 2n Mf(x) | M 2n M 2N 𝜖
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2022-03-31 17:20
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  • f_n is not necessarily simple because f_n^{-1}(a) may not be Lebesgue measurable
    hash2024-03-27

Proof

Let f : d [ 0 , + ] . We aim to show that f is a bounded unsigned measurable function if and only if f is the uniform limit of bounded simple functions.

Construction of an Exemplary Sequence f n

By f being bounded, we have that A f ( x ) B . Let n and partition [ A , B ] into n half-open slices of width

M = | B A | n ,

with A i = [ A + ( i 1 ) M , A + iM ) for 1 i < n and A n = [ A + ( n 1 ) M , B ] .

It holds that

i = 1 n A i = [ A , B ] .

Using the property of f , it follows that

i = 1 n f 1 ( A i ) = f 1 ( i = 1 n A i ) = d ,

because for each x d , the property A f ( x ) B implies that f 1 ( [ A , B ] ) covers all of the domain. Hence, i = 1 n f 1 ( A i ) is a partition of d . Name f 1 ( A i ) = E i .

Now, denote the lower point of each A i as

c n i = A + ( i 1 ) M ,

and set

f n = i = 1 n c n i 1 E i .

By MTP3.9(9), E i , as the preimage of an interval, is Lebesgue measurable.

Convergence Analysis

For any x d , x must also belong to some f 1 ( A i ) , and thus:

| f ( x ) f n ( x ) | = | f ( x ) i = 1 n c n i 1 A i ( x ) | .

Since x f 1 ( A i ) , this simplifies to:

| f ( x ) f n ( x ) | = | f ( x ) c n i | ,

where f ( x ) c n i . Hence:

f ( x ) c n i M ,

because f ( x ) A + iM and c n i = A + ( i 1 ) M . Subtracting these, we have:

A + iM ( A + ( i 1 ) M ) = M .

Now consider an arbitrary 𝜀 > 0 and let n be the ceiling integer for | B A | 𝜀 . Then:

n𝜀 > | B A | 𝜀 > | B A | n = M .

For an arbitrary x d , let x f 1 ( A i ) for some 1 i n . Then:

| f ( x ) f n ( x ) | M < 𝜀 .

Hence, f n converges uniformly to f . □

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2024-11-19 20:36
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