Difference between revisions of "Borel-Cantelli lemma"
From Encyclopedia of Mathematics
m (correction) |
|||
| (4 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
| + | {{TEX|done}} | ||
{{MSC|60-01|60F15,60F20}} | {{MSC|60-01|60F15,60F20}} | ||
| − | A frequently used statement on infinite sequences of random events. Let | + | A frequently used statement on infinite sequences of random events. Let $A_1,\dots, A_n, \dots$ be a sequence of events from a certain probability space and let $A$ be the event consisting in the occurrence of (only) a finite number out of the events $A_n$, $n=1,2\dots$. Then, according to the Borel–Cantelli lemma, if |
| − | + | \begin{equation}\label{eq1} | |
| + | \sum\limits_{n=1}^{\infty}\mathbb P(A_n) < \infty | ||
| + | \end{equation} | ||
then | then | ||
| − | + | $$ | |
| + | \mathbb P(A) = 1. | ||
| + | $$ | ||
| − | If the events | + | If the events $A_n$ are mutually independent, then $\mathbb{P}(A) = 1$ or $0$, depending on whether the series $\sum\limits_{n=1}^{\infty}\mathbb P(A_n)$ converges or diverges, i.e. in this case the condition \eqref{eq1} is necessary and sufficient for $\mathbb P(A) = 1$; this is the so-called Borel criterion for "zero or one" (cf. [[Zero-one law|Zero-one law]]). This last criterion can be generalized to include certain classes of dependent events. The Borel–Cantelli lemma is used, for example, to prove the [[Strong law of large numbers|strong law of large numbers]]. |
====References==== | ====References==== | ||
| Line 21: | Line 26: | ||
====Comments==== | ====Comments==== | ||
| − | The Borel–Cantelli lemma can be used in number theory to prove the so-called [[Normal number|"normality"]] of almost-all | + | The Borel–Cantelli lemma can be used in number theory to prove the so-called [[Normal number|"normality"]] of almost-all real numbers, cf. {{Cite|F}}, Chapt. 8, Sect. 6. |
====References==== | ====References==== | ||
Latest revision as of 17:51, 7 March 2021
2020 Mathematics Subject Classification: Primary: 60-01 Secondary: 60F1560F20 [MSN][ZBL]
A frequently used statement on infinite sequences of random events. Let $A_1,\dots, A_n, \dots$ be a sequence of events from a certain probability space and let $A$ be the event consisting in the occurrence of (only) a finite number out of the events $A_n$, $n=1,2\dots$. Then, according to the Borel–Cantelli lemma, if
\begin{equation}\label{eq1} \sum\limits_{n=1}^{\infty}\mathbb P(A_n) < \infty \end{equation}
then
$$ \mathbb P(A) = 1. $$
If the events $A_n$ are mutually independent, then $\mathbb{P}(A) = 1$ or $0$, depending on whether the series $\sum\limits_{n=1}^{\infty}\mathbb P(A_n)$ converges or diverges, i.e. in this case the condition \eqref{eq1} is necessary and sufficient for $\mathbb P(A) = 1$; this is the so-called Borel criterion for "zero or one" (cf. Zero-one law). This last criterion can be generalized to include certain classes of dependent events. The Borel–Cantelli lemma is used, for example, to prove the strong law of large numbers.
References
| [B] | E. Borel, "Les probabilités dénombrables et leurs applications arithmetiques" Rend. Circ. Mat. Palermo (2) , 27 (1909) pp. 247–271 Zbl 40.0283.01 |
| [C] | F.P. Cantelli, "Sulla probabilità come limite della frequenza" Atti Accad. Naz. Lincei , 26 : 1 (1917) pp. 39–45 Zbl 46.0779.02 |
| [L] | M. Loève, "Probability theory" , Princeton Univ. Press (1963) MR0203748 Zbl 0108.14202 |
Comments
The Borel–Cantelli lemma can be used in number theory to prove the so-called "normality" of almost-all real numbers, cf. [F], Chapt. 8, Sect. 6.
References
| [F] | W. Feller, "An introduction to probability theory and its applications", 1 , Wiley (1957) pp. Chapt.14 |
How to Cite This Entry:
Borel-Cantelli lemma. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Borel-Cantelli_lemma&oldid=33507
Borel-Cantelli lemma. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Borel-Cantelli_lemma&oldid=33507
This article was adapted from an original article by A.V. Prokhorov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article