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In [[mathematics]], a '''Kolmogorov automorphism''', '''''K''-automorphism''', '''''K''-shift''' or '''''K''-system''' is an invertible, [[measure-preserving]] [[automorphism]] defined on a [[standard probability space]] that obeys [[Kolmogorov's zero-one law]].<ref>Peter Walters, ''An Introduction to Ergodic Theory'', (1982) Springer-Verlag ISBN 0-387-90599-5</ref> All [[Bernoulli automorphism]]s are ''K''-automorphisms (one says they have the '''''K''-property'''), but not vice versa. Many [[ergodic]] [[dynamical system]]s have been shown to have the ''K''-property, although more recent research has shown that many of these are in fact Bernoulli automorphisms. | |||
Although the definition of the ''K''-property seems reasonably general, it stands in sharp distinction to the Bernoulli automorphism. In particular, the [[Ornstein isomorphism theorem]] does not apply to ''K''-systems, and so the [[Kolmogorov entropy|entropy]] is not sufficient to classify such systems – there exist uncountably many non-isomorphic ''K''-systems with the same entropy. In essence, the collection of ''K''-systems is large, messy and uncategorized; whereas the ''B''-automorphisms are 'completely' described by [[Ornstein theory]]. | |||
==Formal definition== | |||
Let <math>(X, \mathcal{B}, \mu)</math> be a [[standard probability space]], and let <math>T</math> be an invertible, [[measure-preserving transformation]]. Then <math>T</math> is called a ''K''-automorphism, ''K''-transform or ''K''-shift, if there exists a sub-[[sigma algebra]] <math>\mathcal{K}\subset\mathcal{B}</math> such that the following three properties hold: | |||
:<math>\mbox{(1) }\mathcal{K}\subset T\mathcal{K}</math> | |||
:<math>\mbox{(2) }\bigvee_{n=0}^\infty T^n \mathcal{K}=\mathcal{B}</math> | |||
:<math>\mbox{(3) }\bigcap_{n=0}^\infty T^{-n} \mathcal{K} = \{X,\varnothing\}</math> | |||
Here, the symbol <math>\vee</math> is the [[join (sigma algebra)|join of sigma algebras]], while <math>\cap</math> is [[set intersection]]. The equality should be understood as holding [[almost everywhere]], that is, differing at most on a set of [[measure zero]]. | |||
==Properties== | |||
Assuming that the sigma algebra is not trivial, that is, if <math>\mathcal{B}\ne\{X,\varnothing\}</math>, then <math>\mathcal{K}\ne T\mathcal{K}.</math> It follows that ''K''-automorphisms are [[strong mixing]]. | |||
All [[Bernoulli automorphism]]s are ''K''-automorphisms, but not ''vice-versa''. | |||
==References== | |||
{{reflist}} | |||
==Further reading== | |||
* Christopher Hoffman, "[http://www.ams.org/journals/tran/1999-351-10/S0002-9947-99-02446-0/ A K counterexample machine]", ''Trans. Amer. Math. Soc.'' '''351''' (1999), pp 4263–4280. | |||
[[Category:Ergodic theory]] |
Latest revision as of 18:00, 27 January 2014
In mathematics, a Kolmogorov automorphism, K-automorphism, K-shift or K-system is an invertible, measure-preserving automorphism defined on a standard probability space that obeys Kolmogorov's zero-one law.[1] All Bernoulli automorphisms are K-automorphisms (one says they have the K-property), but not vice versa. Many ergodic dynamical systems have been shown to have the K-property, although more recent research has shown that many of these are in fact Bernoulli automorphisms.
Although the definition of the K-property seems reasonably general, it stands in sharp distinction to the Bernoulli automorphism. In particular, the Ornstein isomorphism theorem does not apply to K-systems, and so the entropy is not sufficient to classify such systems – there exist uncountably many non-isomorphic K-systems with the same entropy. In essence, the collection of K-systems is large, messy and uncategorized; whereas the B-automorphisms are 'completely' described by Ornstein theory.
Formal definition
Let be a standard probability space, and let be an invertible, measure-preserving transformation. Then is called a K-automorphism, K-transform or K-shift, if there exists a sub-sigma algebra such that the following three properties hold:
Here, the symbol is the join of sigma algebras, while is set intersection. The equality should be understood as holding almost everywhere, that is, differing at most on a set of measure zero.
Properties
Assuming that the sigma algebra is not trivial, that is, if , then It follows that K-automorphisms are strong mixing.
All Bernoulli automorphisms are K-automorphisms, but not vice-versa.
References
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Further reading
- Christopher Hoffman, "A K counterexample machine", Trans. Amer. Math. Soc. 351 (1999), pp 4263–4280.
- ↑ Peter Walters, An Introduction to Ergodic Theory, (1982) Springer-Verlag ISBN 0-387-90599-5