ergodic
\PMlinkescapephrase
invariant
1 Ergodicity
Definition - Let be a probability space and a measure-preserving transformation. We say that is ergodic if all the subsets such that have measure or .
In other words, if is invariant (http://planetmath.org/InvariantByAMeasurePreservingTransformation) by then or .
1.0.1 Motivation
Suppose is a probability space and is a measure-preserving transformation. If is an invariant (http://planetmath.org/InvariantByAMeasurePreservingTransformation) measurable subset, with , then is also invariant and . Thus, in this situation, we can study the transformation by studying the two simpler transformations and in the spaces and , respectively.
The transformation is ergodic precisely when cannot be decomposed into simpler transformations. Thus, ergodic transformations are the measure-preserving transformations, in the sense described above.
Remark: When the invariant has measure we can ignore it (as usual in measure theory), as its presence does not affect significantly. Thus, the study of is not simplified when restricting to .
2 Examples
-
•
The identity transformation in a probability space is ergodic if (and only if) all measurable sets have measure or .
-
•
Let be the unit circle in , endowed with the arc length Lebesgue measure (or Haar measure). The transformation of given by , where , is ergodic if and only if is not a root of unity.
Title | ergodic |
Canonical name | Ergodic |
Date of creation | 2013-03-22 12:19:38 |
Last modified on | 2013-03-22 12:19:38 |
Owner | asteroid (17536) |
Last modified by | asteroid (17536) |
Numerical id | 10 |
Author | asteroid (17536) |
Entry type | Definition |
Classification | msc 28D05 |
Classification | msc 37A25 |
Synonym | ergodicity |
Synonym | ergodic transformation |
Synonym | ergodic map |
Related topic | Measure |
Related topic | ErgodicTheorem |
Related topic | MeasurePreserving |