Paper 2, Section II, 26K26 K

Probability and Measure
Part II, 2014

State and prove the monotone convergence theorem.

Let (E1,E1,μ1)\left(E_{1}, \mathcal{E}_{1}, \mu_{1}\right) and (E2,E2,μ2)\left(E_{2}, \mathcal{E}_{2}, \mu_{2}\right) be finite measure spaces. Define the product σ\sigma-algebra E=E1E2\mathcal{E}=\mathcal{E}_{1} \otimes \mathcal{E}_{2} on E1×E2E_{1} \times E_{2}.

Define the product measure μ=μ1μ2\mu=\mu_{1} \otimes \mu_{2} on E\mathcal{E}, and show carefully that μ\mu is countably additive.

[You may use without proof any standard facts concerning measurability provided these are clearly stated.]