Measure, Integration & Real Analysis · Problem 12.10

Probability Measures — Sheldon Axler

Mathematics — Measure Theory · total-probability-formula

Problem

Suppose (Ω,F,P)(\Omega, \mathcal{F}, P) is a probability space and A∈FA \in \mathcal{F} is an event such that 0<P(A)<10 < P(A) < 1. Prove that P(B)=PA(B)⋅P(A)+PΩ∖A(B)⋅P(Ω∖A)P(B) = P_A(B) \cdot P(A) + P_{\Omega \setminus A}(B) \cdot P(\Omega \setminus A) for every event B∈FB \in \mathcal{F}.

Related theory

Browse the problem library