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Definition - Let
be a probability space and
a measure-preserving transformation. We say that is ergodic if all the subsets
such that
have measure 0 or .
In other words, if
is invariant by then
or .
Suppose
is a probability space and
is a measure-preserving transformation. If
is an invariant 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 irreducible measure-preserving transformations, in the sense described above.
Remark: When the invariant subset
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
.
- The identity transformation in a probability space
is ergodic if (and only if) all measurable sets have measure 0 or .
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Cross-references: root of unity, Haar measure, Lebesgue measure, arc length, unit circle, measurable sets, identity, theory, transformations, transformation, measurable, measure, subsets, measure-preserving transformation, probability space
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This is version 7 of ergodic, born on 2002-02-14, modified 2008-05-20.
Object id is 1949, canonical name is ErgodicTransformation.
Accessed 7614 times total.
Classification:
| AMS MSC: | 28D05 (Measure and integration :: Measure-theoretic ergodic theory :: Measure-preserving transformations) | | | 37A25 (Dynamical systems and ergodic theory :: Ergodic theory :: Ergodicity, mixing, rates of mixing) |
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Pending Errata and Addenda
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