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2020 Mathematics Subject Classification: Primary: 37A25 [MSN][ZBL]

A property of a dynamical system (a cascade or a flow (continuous-time dynamical system) \{ S _ {t} \} ) having a finite invariant measure \mu , in which for any two measurable subsets A and B of the phase space W , the measure

\mu (( S ^ {n} ) ^ {-} 1 A \cap B),

or, respectively,

\mu (( S _ {t} ) ^ {-} 1 A \cap B),

tends to

\frac{\mu ( A) \mu ( B) }{\mu ( W) }

as n \rightarrow \infty , or, respectively, as t \rightarrow \infty . If the transformations S and S _ {t} are invertible, then in the definition of mixing one may replace the pre-images of the original set A with respect to these transformations by the direct images S ^ {n} A and S _ {t} A , which are easier to visualize. If a system has the mixing property, one also says that the system is mixing, while in the case of a mixing cascade \{ S ^ {n} \} , one says that the endomorphism S generating it in the measure space ( W, \mu ) also is mixing (has the property of mixing).

In ergodic theory, properties related to mixing are considered: multiple mixing and weak mixing (see [H]; in the old literature the latter is often called mixing in the wide sense or simply mixing, while mixing was called mixing in the strong sense). A property intermediate between mixing and weak mixing has also been discussed [FW]. All these properties are stronger than ergodicity.

There is an analogue of mixing for systems having an infinite invariant measure [KS].

References

[H] P.R. Halmos, "Lectures on ergodic theory" , Math. Soc. Japan (1956) MR0097489 Zbl 0073.09302
[FW] H. Furstenberg, B. Weiss, "The finite multipliers of infinite ergodic transformations" N.G. Markley (ed.) J.C. Martin (ed.) W. Perrizo (ed.) , The Structure of Attractors in Dynamical Systems , Lect. notes in math. , 668 , Springer (1978) pp. 127–132 MR0518553 Zbl 0385.28009
[KS] U. Krengel, L. Sucheston, "On mixing in infinite measure spaces" Z. Wahrscheinlichkeitstheor. Verw. Geb. , 13 : 2 (1969) pp. 150–164 MR0254215 Zbl 0176.33804

Comments

For a cascade \{ S ^ {n} \} on a finite measure space ( W , \mu ) the notion of weak mixing as defined above is equivalent to the property that the cascade generated by S \times S on the measure space ( W \times W , \mu \otimes \mu ) , where \mu \otimes \mu denotes the product measure, is ergodic (cf. Ergodicity; Metric transitivity). See [H].

For topological dynamical systems the notions of strong and weak mixing have been defined as well [F]. A flow on a topological space W is said to be topologically weakly mixing whenever the flow \{ S _ {t} \times S _ {t} \} on W \times W ( with the usual product topology) is topologically ergodic; equivalently: whenever for every choice of four non-empty open subsets U _ {i} , V _ {i} ( i = 1 , 2 ) of W where exists a t such that S _ {t} U _ {i} \cap V _ {i} \neq \emptyset for i = 1 , 2 . On compact spaces the weakly mixing minimal flows are the minimal flows that have no non-trivial equicontinuous factors; see [A], p. 133. A flow \{ S _ {t} \} on a space W is said to be topologically strongly mixing whenever for every two non-empty open subsets U and V of W there exists a value t _ {0} such that S _ {t} U \cap V \neq \emptyset for all | t | \geq t _ {0} . For example, the geodesic flow on a complete two-dimensional Riemannian manifold of constant negative curvature is topologically strongly mixing; see [GH], 13.49. For cascades, the definitions are analogous.

References

[A] J. Auslander, "Minimal flows and their extensions" , North-Holland (1988) MR0956049 Zbl 0654.54027
[F] H. Furstenberg, "Disjointness in ergodic theory, minimal sets and a problem in diophantine approximations" Math. Systems Th. , 1 (1967) pp. 1–49 MR0213508
[GH] W.H. Gottschalk, G.A. Hedlund, "Topological dynamics" , Amer. Math. Soc. (1955) MR0074810 Zbl 0067.15204
How to Cite This Entry:
Mixing. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Mixing&oldid=47863
This article was adapted from an original article by D.V. Anosov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article