5.1 Definition
Let (X,F) and (Y,G) be measurable spaces. A function f:X→Y is measurable if f−1(G)∈F for every G∈G. When Y=R, we equip R with B(R).
Proposition 5.1. f:X→R is measurable if and only if f−1((a,∞))∈F for every a∈R.
Proof. Since (a,∞) generates B(R), the σ-algebra f−1(B(R)) equals the σ-algebra generated by f−1((a,∞)). ■
Proposition 5.2. Compositions of measurable functions are measurable.
Proposition 5.3. If f,g:X→R are measurable, then f+g, fg, f/g (when defined), ∣f∣, max(f,g), and min(f,g) are all measurable.
5.2 Simple Functions
A simple function is a finite linear combination of indicator functions:
s(x)=∑i=1naiχAi(x)
where ai∈R and Ai∈F are measurable sets.
Theorem 5.4 (Approximation Theorem). For every non-negative measurable function f:X→[0,∞], there exists an increasing sequence of simple functions 0≤s1≤s2≤⋯ converging pointwise to f.
Proof. For each n, partition [0,n) into n⋅2n subintervals of length 2−n. Define
sn(x)={2nk−1nif 2nk−1≤f(x)<2nk, k=1,…,n2nif f(x)≥n
Each sn is a simple function, sn≤sn+1, and sn(x)→f(x) for every x. ■
5.3 Egorov”s Theorem and Lusin’s Theorem
Theorem 5.5 (Egorov’s Theorem). Let (X,F,μ) be a finite measure space and let fn:X→R be measurable functions converging pointwise to f a.e. Then for every ε>0, there exists A∈F with μ(A)<ε such that fn→f uniformly on X∖A.
Theorem 5.6 (Lusin’s Theorem). Let f:[a,b]→R be Lebesgue measurable. Then for every ε>0, there exists a compact set K⊆[a,b] with m([a,b]∖K)<ε such that f∣K is continuous.