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Math4121Introduction to Lebesgue Integration (Lecture 33)

Math4121 L33

Continue on Lebegue integration

Sequence of functions

Proposition 6.4

Let fnf_n be a sequence of measurable functions, then supnfn,infnfn,lim supnfn,lim infnfn\sup_n f_n,\inf_n f_n, \limsup_n f_n, \liminf_n f_n are measurable.

Proof:

Consider the set {xR,supnfnc}\{x\in \mathbb{R}, \sup_n f_n\leq c\}. This is the set of xx such that fn(x)cf_n(x)\leq c for all nn.

n=1{xR,fn(x)c}{xR,supnfn(x)c}\bigcap_{n=1}^{\infty} \{x\in \mathbb{R}, f_n(x)\leq c\} \subset \{x\in \mathbb{R}, \sup_n f_n(x)\leq c\}, by the definition of least upper bound.

Since the set on the right is intersection of measurable sets, it is measurable.

Therefore, supnfn\sup_n f_n is measurable.

The proof for infnfn,lim supnfn,lim infnfn\inf_n f_n, \limsup_n f_n, \liminf_n f_n are similar.

Consider xR,infnfnc=n=1{xR,fn(x)c}{x\in \mathbb{R}, \inf_n f_n\leq c}=\bigcap_{n=1}^{\infty} \{x\in \mathbb{R}, f_n(x)\geq c\}.

lim supnfn(x)=infnsupknfk(x)\limsup_n f_n(x)=\inf_n \sup_{k\geq n} f_k(x) is measurable by supknfk(x)\sup_{k\geq n} f_k(x) is measurable.

lim infnfn(x)=supninfknfk(x)\liminf_n f_n(x)=\sup_n \inf_{k\geq n} f_k(x) is measurable by infknfk(x)\inf_{k\geq n} f_k(x) is measurable.

QED

Lemma of function of almost everywhere

If ff is measurable function and f(x)=g(x)f(x)=g(x) for almost every xx (on a set which the complement has Lebesgue measure 00), then gg is measurable.

Proof:

Let cRc\in \mathbb{R}, F1={xR,f(x)>c}F_1=\{x\in \mathbb{R}, f(x)>c\}, F2={xR,g(x)>c}F_2=\{x\in \mathbb{R}, g(x)>c\}.

Recall the symmetric difference F1F2={xR,f(x)g(x)}F_1\triangle F_2=\{x\in \mathbb{R}, f(x)\neq g(x)\}. By the definition of gg, F1F2F_1\triangle F_2 has a measure 00.

In particular, all subsets of the F1F2F_1\triangle F_2 are measurable.

Notice that F2=(F1F2)(F1(F1F2))F_2=(F_1\setminus F_2)\cup (F_1\setminus (F_1\setminus F_2)).

Since F1F2F_1\setminus F_2 is measurable and F1F_1 is measurable, then F2F_2 is measurable.

QED

Example of measurable functions:

  • Continuous functions are measurable.

{x:f(x)>c}={x:f(x)(c,)}=f1(c,)\{x:f(x)>c\}=\{x:f(x)\in (c,\infty)\}=f^{-1}(c,\infty) is open (by open mapping theorem, or the definition of continuity in topology).

  • Riemann integrable functions are measurable.

Outer content of the discontinuity of the function is 00.

σ>0\forall \sigma>0, where Sσ={x[a,b]:w(f,x)>σ}S_\sigma=\{x\in [a,b]: w(f,x)>\sigma\}, m(Sσ)=0m(S_\sigma)=0.

S=n=1S1nS=\bigcup_{n=1}^{\infty} S_{\frac{1}{n}} has a measure 00. So ff is continuous outside a set of measure 00.

m(S)n=1m(S1n)=0m(S)\leq \sum_{n=1}^{\infty} m(S_{\frac{1}{n}})=0. So ff agrees with a continuous function outside a set of measure 00. (almost everywhere) (detailed proof in the textbook)

Theorem 6.6

Let fnf_n be a sequence of measurable functions and ff is a function satisfying limnfn(x)=f(x)\lim_{n\to\infty} f_n(x)=f(x) for almost every xx (holds for sets which the complement has Lebesgue measure 00).

Then f(x)=limnfn(x)f(x)=\lim_{n\to\infty} f_n(x) is a measurable function.

Notice that f(x)f(x) is defined “everywhere”

Proof:

Apply the lemma of function of almost everywhere to the sequence fnf_n.

QED

Definition of simple function

A measurable function ϕ:RR\phi:\mathbb{R}\to\mathbb{R} is called a simple function if it takes only finitely many values.

range(ϕ)={d(x):xR}R\text{range}(\phi)=\{d(x):x\in \mathbb{R}\}\subset \mathbb{R}

has finitely many values.

Equivalently, {a1,a2,,an}R\exists \{a_1,a_2,\cdots,a_n\}\subset \mathbb{R} and disjoint measurable sets S1,S2,,SnS_1,S_2,\cdots,S_n such that

ϕ(x)=i=1naiχSi(x)\phi(x)=\sum_{i=1}^{n} a_i \chi_{S_i}(x)

where χSi\chi_{S_i} is the indicator function of SiS_i.

Theorem 6.7

A function ff is measurable if and only if there exists a sequence of simple functions {ϕn}\{\phi_n\} such that limnϕn(x)=f(x)\lim_{n\to\infty} \phi_n(x)=f(x) for almost every xx.

ff is a limit of almost everywhere convergent sequence of simple functions.

(already proved backward direction)

Continue on Monday.

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