Understanding Borel-Cantelli Lemma

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In summary, the conversation discusses the relationship between events in a probability space and their probabilities. It is shown that if the sum of the probabilities of the events is finite, then the probability of their limsup is 0. If the events are also independent, then the probability of the limsup is less than 1. The conversation also considers the possibility that the probability of the limsup is strictly between 0 and 1, and concludes that it must be either 0 or 1 in any case. However, using the condition of "<1" instead of "=0" may make it easier to apply the second theorem.
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e12514
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Let (A_n)_n>=1 be any event in some probability space { Omega, F, P }, then

(i) SUM_n (P(A_n)) < oo => P( limsup_n->oo (A_n) ) = 0

(ii) If in addition the A_n are independent then
P( limsup_n->oo (A_n) ) <1 => SUM_n (P(A_n)) < oo




Does that mean if the A_n are independent then P( limsup_n->oo (A_n)) must be either 0 or 1??

If so, why bother using "<1" in (ii) and not just use "=0" instead?

If not, then when it is strictly between 0 and 1 we have
from (ii) that SUM_n (P(A_n)) < oo
and then from (i) we get P( limsup_n->oo (A_n) ) = 0, a contradiction.
 
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Does that mean if the A_n are independent then P( limsup_n->oo (A_n)) must be either 0 or 1??

It must be zero or one in any case.
 
  • #3
e12514 said:
Does that mean if the A_n are independent then P( limsup_n->oo (A_n)) must be either 0 or 1??

If so, why bother using "<1" in (ii) and not just use "=0" instead?

It's a weaker condition, and so could (potentially) be easier to employ. That said, I suspect the specific phrasing is an artifact. I.e., the usual way of phrasing the second theorem is to say that if the sum diverges, then the probability of the limsup is 1. The phrasing you've used is the contrapositive of that.
 
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FAQ: Understanding Borel-Cantelli Lemma

What is the Borel-Cantelli Lemma?

The Borel-Cantelli Lemma is a fundamental theorem in probability theory that describes the behavior of a sequence of events. It states that if a series of events is independent and occurs with a decreasing probability, then the probability of infinitely many of these events occurring is either 0 or 1.

What is the significance of the Borel-Cantelli Lemma?

The Borel-Cantelli Lemma has many important applications in probability theory, including in the study of random variables and the convergence of series. It is also used in many areas of science, such as in genetics, where it can be used to study the occurrence of certain genetic mutations.

What is the difference between the Borel-Cantelli Lemma and the Strong Law of Large Numbers?

The Borel-Cantelli Lemma and the Strong Law of Large Numbers are two different theorems that describe the behavior of a sequence of events. The Borel-Cantelli Lemma focuses on the occurrence of events with decreasing probability, while the Strong Law of Large Numbers deals with the behavior of the average of a sequence of random variables as the number of variables increases.

How is the Borel-Cantelli Lemma used in practice?

The Borel-Cantelli Lemma is used in many practical applications, such as in risk assessment, reliability analysis, and quality control. It is also used in the study of random processes, such as in the analysis of stock market trends or the spread of diseases.

What are the assumptions of the Borel-Cantelli Lemma?

The Borel-Cantelli Lemma makes several assumptions, including that the events in the sequence are independent, that the probability of each event decreases as the sequence progresses, and that the events are all subsets of a larger probability space. Additionally, the lemma only applies to infinite sequences of events, not finite ones.

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