Math 2.0

Dynamical systems and ergodic theory Definition

Mixing

Builds on Probability spaceMeasure-preserving transformation

Definition

Let (X,ℬ,μ)(X, \mathcal{B}, \mu) be a probability space and let T ⁣:X→XT \colon X \to X be a measure-preserving transformation. The map TT is mixing, or strongly mixing, if for all A,B∈ℬA, B \in \mathcal{B}, lim⁡n→∞μ(T−nA∩B)=μ(A) μ(B).\lim_{n \to \infty} \mu(T^{-n} A \cap B) = \mu(A) \, \mu(B).

Remarks

Example: let T(x)=2x mod 1T(x) = 2x \bmod 1 on [0,1)[0,1) with Lebesgue measure μ\mu. Let AA and BB be dyadic intervals of length 2−k2^{-k}, that is, of the form [j2−k,(j+1)2−k)[j 2^{-k}, (j+1) 2^{-k}). For n≥kn \ge k, the set T−nAT^{-n} A is a union of 2n2^n intervals of length 2−n−k2^{-n-k}, one in each interval [i2−n,(i+1)2−n)[i 2^{-n}, (i+1) 2^{-n}). Exactly 2n−k2^{n-k} of them lie in BB, so μ(T−nA∩B)=2−2k=μ(A)μ(B)\mu(T^{-n} A \cap B) = 2^{-2k} = \mu(A) \mu(B). Dyadic intervals generate the Borel sets, and an approximation argument gives the limit for all AA and BB.

Non-example: let T(x)=x+α mod 1T(x) = x + \alpha \bmod 1 with α\alpha irrational, and let A=B=[0,1/4)A = B = [0, 1/4). The numbers nα mod 1n \alpha \bmod 1 come arbitrarily close to 00 for infinitely many nn, and for those nn the measure μ(T−nA∩A)\mu(T^{-n} A \cap A) is close to 1/41/4. So it does not tend to 1/161/16, and the rotation is not mixing, although it is ergodic.

Taking A=BA = B with T−1A=AT^{-1} A = A shows that a mixing map is ergodic: then μ(A)=μ(A)2\mu(A) = \mu(A)^2, so μ(A)∈{0,1}\mu(A) \in \set{0, 1}. In terms of functions, TT is mixing if and only if ∫(f∘Tn) g dμ→∫f dμ∫g dμ\int (f \circ T^n) \, g \, d\mu \to \int f \, d\mu \int g \, d\mu for all f,g∈L2(μ)f, g \in L^2(\mu).

Reading path

To understand this page from the ground up, read these 3 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Measure-preserving transformation concept
  2. Probability space concept
  3. Mixing definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Mixing_(mathematics)
About this page
TagDFCJCRTTBR
URIm2://DFCJCRTTBR
Kinddefinition
WritingW0 stub
MSC37A25, 28D05
DefinesMixing
UsesProbability space, Measure-preserving transformation

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)
  • a source with a locator (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.