Suppose (Ω, 𝒜, 𝑃) is a probability space and 𝐵 is an event with 𝑃(𝐵) > 0. Prove that (Ω, 𝒜, 𝑃(⋅ |𝐵)), where 𝑃(⋅ |𝐵) is the conditional probability given 𝐵, is a probability space.
Please provide step by step solutions and logical explanations :)
A probability space is defined if the following components are defined and the following relations/properties are satisfied:
1) A sample space is to be defined as a set. The sample space is .
2) An event space is to be defined as a sigma-algebra of subsets of the sample space. The event space is 𝒜. This is a sigma-algebra of subsets of .
3) A probability function is to be defined as a non-negative sigma-additive function P' which has the event space as a domain and which is normalized by the condition P'(Ω)=1. The candidate to this function is 𝑃(⋅ |𝐵), the necessary properties of which are to be verified:
3.1) The domain of P'=𝑃(⋅ |𝐵) must be the event space 𝒜. - Valid.
3.2) The function P' is non-negative. - Valid, because of , and .
3.3) The function P' is normalized. - Valid, because of .
3.4) The function P' is additive. Indeed, if are two events such that , then and
(the 3rd equality is provided by additivity of the probability function P).
3.5) The function P' is sigma-additive. Indeed, if is a countable sequence od non-intersecting sets, then and
(the 3rd equality is provided by sigma-additivity of the probability function P).
As all conditions are satisfied, therefore, (Ω, 𝒜, 𝑃(⋅ |𝐵)) is indeed a probability space.
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