Limit of the intersection of events

AI Thread Summary
The discussion revolves around proving that the probability of the intersection of an infinite decreasing sequence of events equals the limit of the probabilities of the events as n approaches infinity. Participants explore the relationship between the intersection and the complements of the events, leading to the conclusion that the probability of the intersection can be expressed in terms of the union of the complements. They confirm that the limit of the probabilities of the complements relates directly to the original statement. The conversation highlights the importance of understanding sigma-additivity and the manipulation of disjoint events to arrive at the desired proof. Overall, the participants successfully clarify the proof process for the limit of the intersection of events.
stukbv
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Hi, I keep seeing this come up
A1 ⊇ A2 ⊇ A3 ... is an infinite decreasing sequence of events. Prove from first principles
that
P(intersection of Ai from i=1 to infinity) = Lim P(An) as n--> infinity

All i can think of is that since each is a subset of the preceding, then A1 ∩ A2...∩An = An
So clearly P(A1 ∩ A2...∩An) = P(An) and thus the same for limits.
I think this is too simplistic though, is it or isn't it ?

Thanks a lot
 
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Hi stukbv! :smile:

Did you already encounter the dual version of this? That is, if

A_0\subseteq A_1\subseteq A_2\subseteq ...

then

P\left(\bigcup_{i=0}^{+\infty}{A_i}\right)=\lim_{n\rightarrow +\infty}{P(A_n)}

It is the easiest if we prove this first. Now, this statement actually follows from the \sigma-additivity. However, the \sigma-additivity requires the events to be disjoint, which is not the case here. Is there a way to make the events disjoint, though?
 
Yeah I've done it that way I think
Let B1 = A1
B2 = A2∩A1C
B3=A3∩A2C
And so on,
Then the Bi are disjoint and the union Bi (up to n) = An, but also U Bi up to ∞ = Union of Ai upto ∞ (since preceding ones are subsets!) so P(An) = P(U Bi) (to n) = Sum P(Bi (to n) as all bi are disjoint, then let RHS and LHS n tend to infinity and we get sum to infinity of P(Bi) = P(U Bi) to ∞ = P(U Ai) to ∞.
according to my lecturer!
 
Ah yes, that's very good! So now for your question. You need to prove that

P\left(\bigcap{A_n}\right)=\lim_{n\rightarrow +\infty}{P(A_n)}

Now what happens if you take the complements of these events?
 
what like B1 = A1
B2 = A2\A1
B2 = A3\A2
and so on ?
 
No, take the complements. What is

P\left(\left(\bigcap{A_n}\right)^c\right)
 
P((U An^c)?
 
stukbv said:
P((U An^c)?

Yes, carry on...
 
SO P(U An^c) is equal to the sum since they are disjoint?
But i don't see how you can relate the 2 like we did before
 
  • #10
stukbv said:
SO P(U An^c) is equal to the sum since they are disjoint?
But i don't see how you can relate the 2 like we did before

No, they are not disjoint. But you have a formula for

P\left(\bigcup{A_n^c}\right)

Right? You've proven the formula above...
 
  • #11
ok so the limit = p(An^c)
 
  • #12
stukbv said:
ok so the limit = p(An^c)

And what the probability of a complement?
 
  • #13
1-p(An).
I see , but then how do i relate it to my initial statement?
 
  • #14
Well, you know already that the statement

P\left(\bigcup{A_n^c}\right)=1-\lim_{n\rightarrow +\infty}{P(A_n)}

is true. Now try to evaluate the left side.
 
  • #15
surely if they are all subsets of their preceding ones then the union of the complements is just a1^c ?
 
  • #16
We have

A_1\supseteq A_2\supseteq ...

and thus

A_1^c\subseteq A_2^c\subseteq ...

So that doesn't really work.
 
  • #17
ohh so is the LHS 1 - P( intersection of Ai)
 
  • #18
Then you can get rid of the ones and then take limits ?
 
  • #19
so we can say lhs = 1-P(intersection Ai) ?
 
  • #20
Yes, that is correct! Just eliminate the ones and you have the result you wanted to prove!
 
  • #21
Perfect! just in time... thanks again!
 

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