ergodic
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invariant
1 Ergodicity
Definition - Let (X,𝔅,μ) be a probability space and T:X⟶X a measure-preserving transformation. We say that T is ergodic if all the subsets A∈𝔅 such that T-1(A)=A have measure 0 or 1.
In other words, if A∈𝔅 is invariant (http://planetmath.org/InvariantByAMeasurePreservingTransformation) by T then μ(A)=0 or μ(A)=1.
1.0.1 Motivation
Suppose (X,𝔅,μ) is a probability space and T:X⟶X is a measure-preserving transformation. If A∈𝔅 is an invariant (http://planetmath.org/InvariantByAMeasurePreservingTransformation) measurable subset, with 0<μ(A)<1,
then X∖A is also invariant and 0<μ(X∖A)<1. Thus, in this situation, we can study the transformation T by studying the two simpler transformations T|A and T|X∖A in the spaces A and X∖A, respectively.
The transformation T is ergodic precisely when T cannot be decomposed into simpler transformations. Thus, ergodic transformations are the measure-preserving transformations, in the sense described above.
Remark: When the invariant A∈𝔅 has measure μ(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∖A.
2 Examples
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•
The identity transformation in a probability space (X,𝔅,μ) is ergodic if (and only if) all measurable sets
have measure 0 or 1.
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•
Let 𝕋 be the unit circle
in ℂ, endowed with the arc length Lebesgue measure
(or Haar measure). The transformation of 𝕋 given by S(x)=ax, where a∈𝕋, is ergodic if and only if a 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 |