Let be (Omega,A,P) a probability space and A_1,…,A_n in A. For sake of convenience we define A^1:=A and A^c:=Omega∖A.

Joglxym

Joglxym

Answered question

2022-11-12

Show lemma on probability of n independent sets
Let be ( Ω , A , P ) a probability space and A 1 , , A n A . For sake of convenience we define A 1 := A and A c := Ω A. Let be ( k 1 , , k n ) { 1 , c } n . Show that
A 1 , , A n  are stochastically independent  P ( j = 1 n A j k j ) = j = 1 n P ( A j k j ) .

Answer & Explanation

Hector Hamilton

Hector Hamilton

Beginner2022-11-13Added 13 answers

Step 1
The induction on m is sufficient: we show by induction on m that for each number n m, stochastically independent sets A 1 , , A n A and k { 1 , c } n containing m-many complement symbols the equality from the question holds.
For m = 0 the claim is trivial. Fix m 1, assume the claim holds for m 1 and take A 1 , , A n and k { 1 , c } n as in the statement. By symmetry we can assume that k n = c. We have that
j = 1 n 1 A j k j = ( j = 1 n 1 A j k j A n ) ( j = 1 n 1 A j k j A n c )
and the sets on the right are disjoint, so
P ( j = 1 n 1 A j k j ) = P ( j = 1 n 1 A j k j A n ) + P ( j = 1 n 1 A j k j A n c ) .
Step 2
The first two probabilities can be computed using the induction hypothesis since among the "exponents" there are exactly m 1-many complement signs:
j = 1 n 1 P ( A j k j ) = j = 1 n 1 P ( A j k j ) P ( A n ) + P ( j = 1 n 1 A j k j A n c ) .
It follows that
P ( j = 1 n A j k j ) = P ( j = 1 n 1 A j k j A n c ) = j = 1 n 1 P ( A j k j ) ( 1 P ( A n ) ) = j = 1 n P ( A j k j ) ,
as desired

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