<?xml version="1.0" encoding="UTF-8"?>

<record version="4" id="3686">
 <title>Kolmogorov's strong law of large numbers</title>
 <name>KolmogorovsStrongLawOfLargeNumbers</name>
 <created>2002-12-08 05:39:29</created>
 <modified>2006-09-28 02:51:10</modified>
 <type>Theorem</type>
 <creator id="127" name="Koro"/>
 <author id="127" name="Koro"/>
 <classification>
	<category scheme="msc" code="60F15"/>
 </classification>
 <synonyms>
	<synonym concept="Kolmogorov's strong law of large numbers" alias="Kolmogorov's criterion"/>
 </synonyms>
 <related>
	<object name="MartingaleProofOfKolmogorovsStrongLawForSquareIntegrableVariables"/>
	<object name="ProofOfKolmogorovsStrongLawForIIDRandomVariables"/>
 </related>
 <preamble>% this is the default PlanetMath preamble.  as your knowledge
% of TeX increases, you will probably want to edit this, but
% it should be fine as is for beginners.

% almost certainly you want these
\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}

% used for TeXing text within eps files
%\usepackage{psfrag}
% need this for including graphics (\includegraphics)
%\usepackage{graphicx}
% for neatly defining theorems and propositions
%\usepackage{amsthm}
% making logically defined graphics
%\usepackage{xypic}

% there are many more packages, add them here as you need them

% define commands here</preamble>
 <content>Let $X_1,X_2,\dots$ be a sequence of independent random variables, with finite expectations. The strong law of large numbers holds if one of the following conditions is satisfied:

\begin{enumerate} 
\item The random variables are identically distributed;
\item For each $n$, the variance of $X_n$ is finite, and 
\[\sum_{n=1}^\infty \frac{\operatorname{Var}[X_n]}{n^2} &lt;\infty.\]
\end{enumerate}</content>
</record>
