Paper 2, Section II, 26 K26 \mathrm{~K}

Probability and Measure | Part II, 2020

Let XX be a set. Recall that a Boolean algebra B\mathcal{B} of subsets of XX is a family of subsets containing the empty set, which is stable under finite union and under taking complements. As usual, let σ(B)\sigma(\mathcal{B}) be the σ\sigma-algebra generated by B\mathcal{B}.

(a) State the definitions of a σ\sigma-algebra, that of a measure on a measurable space, as well as the definition of a probability measure.

(b) State Carathéodory's extension theorem.

(c) Let (X,F,μ)(X, \mathcal{F}, \mu) be a probability measure space. Let BF\mathcal{B} \subset \mathcal{F} be a Boolean algebra of subsets of XX. Let C\mathcal{C} be the family of all AFA \in \mathcal{F} with the property that for every ϵ>0\epsilon>0, there is BBB \in \mathcal{B} such that

μ(AB)<ϵ,\mu(A \triangle B)<\epsilon,

where ABA \triangle B denotes the symmetric difference of AA and BB, i.e., AB=(AB)\(AB)A \triangle B=(A \cup B) \backslash(A \cap B).

(i) Show that σ(B)\sigma(\mathcal{B}) is contained in C\mathcal{C}. Show by example that this may fail if μ(X)=+\mu(X)=+\infty.

(ii) Now assume that (X,F,μ)=([0,1],L[0,1],m)(X, \mathcal{F}, \mu)=\left([0,1], \mathcal{L}_{[0,1]}, m\right), where L[0,1]\mathcal{L}_{[0,1]} is the σ\sigma-algebra of Lebesgue measurable subsets of [0,1][0,1] and mm is the Lebesgue measure. Let B\mathcal{B} be the family of all finite unions of sub-intervals. Is it true that C\mathcal{C} is equal to L[0,1]\mathcal{L}_{[0,1]} in this case? Justify your answer.

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