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<record version="2" id="7176">
 <title>sample function</title>
 <name>SampleFunction</name>
 <created>2005-06-20 19:42:04</created>
 <modified>2008-12-17 21:58:28</modified>
 <type>Definition</type>
<parent id="6244">stochastic process</parent>
 <creator id="22282" name="gel"/>
 <author id="22282" name="gel"/>
 <author id="3771" name="CWoo"/>
 <classification>
	<category scheme="msc" code="60G05"/>
	<category scheme="msc" code="60G17"/>
 </classification>
 <defines>
	<concept>sample path</concept>
 </defines>
 <preamble>\usepackage{amssymb,amscd}
\usepackage{amsmath}
\usepackage{amsfonts}

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%\usepackage{psfrag}
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%\usepackage{graphicx}
% for neatly defining theorems and propositions
%\usepackage{amsthm}
% making logically defined graphics
%\usepackage{xypic}

% define commands here</preamble>
 <content>Let $\lbrace X(t)\mid t\in T \rbrace$ be a stochastic process, where
$X(t)$ is a random variable on the probability space
$(\Omega,\mathcal{F},\textbf{P})$.  Writing $X(t)$ as $X(t,\omega)$,
where $t\in T$ and $\omega\in\Omega$, we see that if we fix the
sample point $\omega$, we have a function in $t$: $X_{\omega}(t)
\colon t\mapsto X(t)$. This function $X_{\omega}(t)$ of $t$ is
called a \emph{sample function}, or \emph{sample path} of the
stochastic process.</content>
</record>
