4.II .25 J. 25 \mathrm{~J} \quad

Probability and Measure
Part II, 2006

Let (Ω,A,μ)(\Omega, \mathcal{A}, \mu) be a measure space and f:ΩRf: \Omega \rightarrow \mathbb{R} a measurable function.

(a) Explain what is meant by saying that ff is integrable, and how the integral Ωfdμ\int_{\Omega} f d \mu is defined, starting with integrals of A\mathcal{A}-simple functions.

[Your answer should consist of clear definitions, including the ones for A\mathcal{A}-simple functions and their integrals.]

(b) For f:Ω[0,)f: \Omega \rightarrow[0, \infty) give a specific sequence (gn)nN\left(g_{n}\right)_{n \in \mathbb{N}} of A\mathcal{A}-simple functions such that 0gnf0 \leqslant g_{n} \leqslant f and gn(x)f(x)g_{n}(x) \rightarrow f(x) for all xΩx \in \Omega. Justify your answer.

(c) Suppose that that μ(Ω)<\mu(\Omega)<\infty and let f1,f2,:ΩRf_{1}, f_{2}, \ldots: \Omega \rightarrow \mathbb{R} be measurable functions such that fn(x)0f_{n}(x) \rightarrow 0 for all xΩx \in \Omega. Prove that, if

limcsupnNfn>cfndμ=0\lim _{c \rightarrow \infty} \sup _{n \in \mathbb{N}} \int_{\left|f_{n}\right|>c}\left|f_{n}\right| d \mu=0

then Ωfndμ0\int_{\Omega} f_{n} d \mu \rightarrow 0.

Give an example with μ(Ω)<\mu(\Omega)<\infty such that fn(x)0f_{n}(x) \rightarrow 0 for all xΩx \in \Omega, but Ωfndμ0\int_{\Omega} f_{n} d \mu \nrightarrow 0, and justify your answer.

(d) State and prove Fatou's Lemma for a sequence of non-negative measurable functions.

[Standard results on measurability and integration may be used without proof.]