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

<record version="7" id="1949">
 <title>ergodic</title>
 <name>ErgodicTransformation</name>
 <created>2002-02-14 01:21:11</created>
 <modified>2008-05-20 22:06:09</modified>
 <type>Definition</type>
 <creator id="17536" name="asteroid"/>
 <author id="3771" name="CWoo"/>
 <author id="17536" name="asteroid"/>
 <author id="72" name="drummond"/>
 <classification>
	<category scheme="msc" code="28D05"/>
	<category scheme="msc" code="37A25"/>
 </classification>
 <synonyms>
	<synonym concept="ergodic" alias="ergodicity"/>
	<synonym concept="ergodic" alias="ergodic transformation"/>
	<synonym concept="ergodic" alias="ergodic map"/>
 </synonyms>
 <related>
	<object name="Measure"/>
	<object name="ErgodicTheorem"/>
	<object name="MeasurePreserving"/>
 </related>
 <keywords>
	<term>ergodic</term>
 </keywords>
 <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
\newcommand{\mv}[1]{\mathbf{#1}}	% matrix or vector
\newcommand{\cov}{\mathrm{cov}}
\newcommand{\mvt}[1]{\mv{#1}^{\mathrm{T}}}
\newcommand{\mvi}[1]{\mv{#1}^{-1}}
\newcommand{\mpderiv}[1]{\frac{\partial}{\partial {#1}}}
\newcommand{\borel}{\mathfrak{B}}
\newcommand{\defined}{:=}</preamble>
 <content>\PMlinkescapephrase{invariant}

\section{Ergodicity}

{\bf Definition -} Let $(X, \mathfrak{B}, \mu)$ be a probability space and $T:X \longrightarrow X$ a measure-preserving transformation.  We say that $T$ is \emph{ergodic} if all the subsets $A \in \mathfrak{B}$ such that $T^{-1}(A)=A$ have measure $0$ or $1$.

In other words, if $A \in \mathfrak{B}$ is \PMlinkname{invariant}{InvariantByAMeasurePreservingTransformation} by $T$ then $\mu(A) = 0$ or $\mu(A)=1$.\\

\subsubsection{Motivation}

Suppose $(X, \mathfrak{B}, \mu)$ is a probability space and $T:X \longrightarrow X$ is a measure-preserving transformation. If $A \in \mathfrak{B}$ is an \PMlinkname{invariant}{InvariantByAMeasurePreservingTransformation} measurable subset, with $0 &lt; \mu(A) &lt; 1$, 
then $X \setminus A$ is also invariant and $0 &lt; \mu(X \setminus A) &lt; 1$. Thus, in this situation, we can study the transformation $T$ by studying the two simpler transformations $T|_{A}$ and $T|_{X \setminus A}$ in the spaces $A$ and $X \setminus A$, respectively.

The transformation $T$ is ergodic precisely when $T$ cannot be decomposed into simpler transformations. Thus, ergodic transformations are the \emph{\PMlinkescapetext{irreducible}} measure-preserving transformations, in the sense described above.

{\bf Remark:} When the invariant \PMlinkescapetext{subset} $A \in \mathfrak{B}$ has measure $\mu(A)=0$ we can ignore it (as usual in measure theory), as its presence does not affect $T$ significantly. Thus, the study of $T$ is not simplified when restricting to $X \setminus A$.

\section{Examples}

\begin{itemize}
\item The identity transformation in a probability space $(X, \mathfrak{B}, \mu)$ is ergodic if (and only if) all measurable sets have measure $0$ or $1$.
\end{itemize}
\begin{itemize}
\item Let $\mathbb{T}$ be the unit circle in $\mathbb{C}$, endowed with the arc length Lebesgue measure (or Haar measure). The transformation of $\mathbb{T}$ given by $S(x)= ax$, where $a \in \mathbb{T}$, is ergodic if and only if $a$ is not a root of unity.
\end{itemize}</content>
</record>
