Math 2.0

Dynamical systems and ergodic theory Ergodic theory Example

Dyadic transformation

Builds on Lebesgue measureBernoulli schemeKolmogorov–Sinai entropy

Example

The dyadic transformation, or doubling map, is T ⁣:[0,1)→[0,1),T(x)=2x mod 1.T \colon [0, 1) \to [0, 1), \qquad T(x) = 2x \bmod 1.

It is a measure-preserving transformation for Lebesgue measure λ\lambda. Check on an interval [a,b)⊆[0,1)[a, b) \subseteq [0, 1): T−1[a,b)=[a2,b2)∪[a+12,b+12),T^{-1}[a, b) = \Big[\frac{a}{2}, \frac{b}{2}\Big) \cup \Big[\frac{a+1}{2}, \frac{b+1}{2}\Big), a disjoint union of two intervals of length (b−a)/2(b - a)/2, so λ(T−1[a,b))=b−a\lambda(T^{-1}[a, b)) = b - a.

Write x=∑n≥1xn2−nx = \sum_{n \ge 1} x_n 2^{-n} in binary, with digits xn∈{0,1}x_n \in \set{0, 1} not eventually all equal to 11. Then TT deletes the first digit: T(x)=∑n≥1xn+12−nT(x) = \sum_{n \ge 1} x_{n+1} 2^{-n}. Under λ\lambda the digits are independent fair coin tosses. So the binary expansion is an isomorphism, up to null sets, from TT to the one-sided Bernoulli scheme B(1/2,1/2)B(1/2, 1/2). Hence TT is mixing, and its Kolmogorov–Sinai entropy is log⁡2\log 2.

The map is not invertible: each point has two preimages.

Reading path

To understand this page from the ground up, read these 11 pages in order. The foundations come first.

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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. Bernoulli process concept
  2. Borel sigma-algebra concept
  3. Euclidean space object
  4. Infinite product measure concept
  5. Kolmogorov automorphism concept
  6. Kolmogorov–Sinai entropy concept
  7. Mixing concept
  8. Outer measure concept
  9. Lebesgue measure object
  10. Bernoulli scheme example
  11. Dyadic transformation example

Further reading

  1. Web https://en.wikipedia.org/wiki/Dyadic_transformation
About this page
TagHTWWJNSZNQ
URIm2://HTWWJNSZNQ
Kindexample
WritingW0 stub
MSC37E05, 37A05, 37A25
Instance ofMeasure-preserving transformation, Mixing
UsesLebesgue measure, Bernoulli scheme, Kolmogorov–Sinai entropy
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