Borel–Cantelli lemmas
E1041768
The Borel–Cantelli lemmas are fundamental results in probability theory that characterize when events occur infinitely often or only finitely often, based on the convergence or divergence of the sum of their probabilities.
Observed surface forms (4)
| Surface form | Occurrences |
|---|---|
| Borel–Cantelli lemma | 1 |
| Borel’s strong law of large numbers formulation | 1 |
| first Borel–Cantelli lemma | 0 |
| second Borel–Cantelli lemma | 0 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical lemma
ⓘ
probability theory theorem ⓘ probability theory theorem ⓘ probability theory theorem ⓘ |
| appearsIn | graduate-level probability textbooks ⓘ |
| appliesTo | countable sequences of events ⓘ |
| assumption |
no independence assumption required
ⓘ
pairwise independence or independence of events ⓘ |
| characterizes |
conditions for events to occur infinitely often
ⓘ
conditions for events to occur only finitely often ⓘ |
| concerns |
almost sure behavior of events
ⓘ
divergence of sum of probabilities ⓘ events occurring infinitely often ⓘ events occurring only finitely often ⓘ sequences of events in probability spaces ⓘ sum of probabilities of events ⓘ |
| conclusionType | almost sure statement ⓘ |
| field | probability theory ⓘ |
| formalizedIn | measure-theoretic probability ⓘ |
| generalizedBy | Kochen–Stone theorem NERFINISHED ⓘ |
| hasGeneralization | Borel–Cantelli lemma for dependent events NERFINISHED ⓘ |
| hasPart |
first Borel–Cantelli lemma
ⓘ
second Borel–Cantelli lemma NERFINISHED ⓘ |
| implies | zero-one law for limsup of events under independence ⓘ |
| importance | fundamental tool in proving almost sure convergence results ⓘ |
| logicalForm | implication between series of probabilities and limsup event probability ⓘ |
| namedAfter |
Francesco Paolo Cantelli
NERFINISHED
ⓘ
Émile Borel NERFINISHED ⓘ |
| relatedTo |
Kolmogorov zero–one law
NERFINISHED
ⓘ
almost sure convergence of random variables ⓘ law of the iterated logarithm NERFINISHED ⓘ strong law of large numbers ⓘ |
| states |
if events are independent and the sum of their probabilities diverges then the probability that infinitely many occur is one
ⓘ
if the sum of probabilities of events is finite then the probability that infinitely many of them occur is zero ⓘ |
| typicalCondition |
sum_{n=1}^∞ P(A_n) < ∞
ⓘ
sum_{n=1}^∞ P(A_n) = ∞ ⓘ |
| typicalNotation | limsup A_n ⓘ |
| usedIn |
ergodic theory
ⓘ
limit theorems in probability ⓘ number theory ⓘ random series analysis ⓘ |
| usesConcept |
almost sure convergence
ⓘ
independence of events ⓘ limsup of events ⓘ probability measure ⓘ sigma-algebra ⓘ |
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Borel–Cantelli lemma
this entity surface form:
Borel’s strong law of large numbers formulation