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Exercise 4.16 Show that the class F of subsets A of R such that A or Ac is discrete (finite or countably infinite) is a σ-field. Define on F a set function P by P(A) = 0 if A is discrete and P(A) = 1 if Ac is discrete. Show that P so defined is a probability measure. Proof. Firstly, recall that the set of real numbers R is uncountable, so if A ⊂ R is discrete, then Ac is uncountable and vice versa. Secondly, the union of countably many countable sets is countable. Take F as defined above. We want to show that F is a σ-algebra, so we need to show that (i) ∅ ∈ F (ii) if A1 , A2 , · · · ∈ F then S∞ ∈F i=1 Ai (iii) if A ∈ F then Ac ∈ F By definition, the empty set is finite so condition (i) holds trivially. For the second condition, recall that the union of countably many countable sets is countable. Hence, if A1 , A2 , . . . are all countable so is their union, so ∪∞ i=1 Ai ∈ F. If at least one of the sets is uncountable, then the union is uncountable so its complement is discrete. In either c case, ∪∞ i=1 Ai ∈ F. For the third condition, if A ∈ F then either A is discrete or A is discrete. If A is discrete, then Ac is uncountable. But the complement of Ac is A, which is discrete so Ac ∈ F. The other ways follows by a similar argument. This proves that F is a σ-algebra. Next, let P(A) = 0 if A is discrete and P(A) = 1 is Ac is discrete, where A ∈ F. To show that P is a probability measure on (Ω, F) we need to show that (i) P(∅) = 0 and P(Ω) = 1 (ii) if A1 , A2 , . . . is a collection of pairwise disjoint members of F, so that Ai ∩ Aj = ∅ for all pairs i, j satisfying i 6= j, then P ∞ [ ∞ X Ai = P (Ai ). i=1 i=1 For the first condition, the empty set is finite and Ω = R is uncountable, so P(∅) = 0 and P(Ω) = 1. For the second condition, note that if A1 , A2 , . . . are all countable than both sides are equal to zero so the equality holds. Assume that Ak is uncountable for some k (i.e. Ack is finite). Since the sets are pairwise disjoint it follows that Ai ⊆ Ack for all i 6= k. But every subset of a countable set is also countable, so Ai is countable for all i 6= k. Hence, 1=P ∞ [ Ai i=1 = P (Ak ) + | {z } =1 | {z } uncountable Hence, P is a probability measure on (Ω,F). 1 X i6=k P (Ai ) = 1 | {z } =0