Math 2.0

Dynamical systems and ergodic theory Low-dimensional dynamics Theorem

Jakobson's theorem

Builds on Logistic mapAbsolutely continuous measureInvariant measureLebesgue measureLyapunov exponentSinger's theorem

Statement

For r∈[0,4]r \in [0, 4] let fr(x)=rx(1−x)f_r(x) = r x (1 - x) be the logistic map on [0,1][0, 1]. Let AA be the set of parameters r∈[0,4]r \in [0, 4] for which frf_r has an invariant probability measure that is absolutely continuous with respect to Lebesgue measure. Then AA has positive Lebesgue measure. Moreover, 44 is a one-sided Lebesgue density point of AA: lim⁡ε→0+λ(A∩[4−ε,4])ε=1,\lim_{\varepsilon \to 0^+} \frac{\lambda(A \cap [4 - \varepsilon, 4])}{\varepsilon} = 1, where λ\lambda is Lebesgue measure on ℝ\R.

Remarks

Michael Jakobson proved the theorem in 1981. The proof is a parameter exclusion argument. Near r=4r = 4, one follows the orbit of the critical point 1/21/2 and removes the parameters for which this orbit comes too close to 1/21/2 too early. For the remaining parameters the derivative along the critical orbit grows exponentially, and this growth gives the absolutely continuous invariant measure; the removed set is shown to be small. Benedicks and Carleson later gave another proof of this kind, which they extended to the Hénon maps.

Example: r=4r = 4 itself is in AA: the measure with density 1πx(1−x)\frac{1}{\pi \sqrt{x (1 - x)}} on (0,1)(0, 1) is invariant for f4f_4.

For parameters in AA the measure is ergodic and has a positive Lyapunov exponent, so the dynamics is chaotic in a measurable sense. This is in contrast with parameters where frf_r has an attracting periodic orbit; by Singer's theorem there is at most one, and then almost every orbit converges to it. Such parameters form an open and dense subset of [0,4][0, 4], but by Jakobson's theorem they do not have full measure. Lyubich showed in 2002 that almost every parameter rr is of one of these two kinds.

Going deeper

For a student

The theorem shows that the chaotic behaviour seen at r=4r = 4 persists, in a measure-theoretic sense, for many nearby parameters. This holds even though the topological picture changes at a dense set of parameters. It became a model for the study of nonuniformly hyperbolic systems with critical points. The tool of following the critical orbit and excluding bad parameters was later used for the Hénon family and other strange attractors.

Reading path

To understand this page from the ground up, read these 28 pages in order. The foundations come first.

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Absolutely continuous measure, concept, no evidence levelAbsolutely continuous…conceptBorel sigma-algebra, concept, no evidence levelBorel sigma-algebraconceptCritical point, concept, no evidence levelCritical pointconceptDifferential equation, concept, no evidence levelDifferential equationconceptDiscrete-time dynamical system, concept, no evidence levelDiscrete-time dynamic…conceptEuclidean space, object, no evidence levelEuclidean spaceobjectFixed point, concept, no evidence levelFixed pointconceptFunction, concept, no evidence levelFunctionconceptInterval, concept, no evidence levelIntervalconceptInvariant measure, concept, no evidence levelInvariant measureconceptLyapunov exponent, concept, no evidence levelLyapunov exponentconceptOuter measure, concept, no evidence levelOuter measureconceptPeriod-doubling bifurcation, concept, no evidence levelPeriod-doubling bifur…conceptPeriodic orbit, concept, no evidence levelPeriodic orbitconceptPeriodic point, concept, no evidence levelPeriodic pointconceptSchwarzian derivative, concept, no evidence levelSchwarzian derivativeconceptTopological conjugacy, concept, no evidence levelTopological conjugacyconceptTopological entropy, concept, no evidence levelTopological entropyconceptOrdinary differential equation, definition, no evidence levelOrdinary differential…definitionLebesgue measure, object, no evidence levelLebesgue measureobjectSolution of an ordinary differential equation, definition, no evidence levelSolution of an ordina…definitionTent map, example, no evidence levelTent mapexampleInitial value problem, definition, no evidence levelInitial value problemdefinitionExponential growth and decay, example, no evidence levelExponential growth an…exampleLogistic equation, example, no evidence levelLogistic equationexampleLogistic map, example, no evidence levelLogistic mapexampleSinger's theorem, statement, no evidence levelSinger's theoremstatementJakobson's theorem, statement, no evidence levelJakobson's theoremstatement
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. Absolutely continuous measure concept
  2. Borel sigma-algebra concept
  3. Critical point concept
  4. Differential equation concept
  5. Discrete-time dynamical system concept
  6. Euclidean space object
  7. Fixed point concept
  8. Function concept
  9. Interval concept
  10. Invariant measure concept
  11. Lyapunov exponent concept
  12. Outer measure concept
  13. Period-doubling bifurcation concept
  14. Periodic orbit concept
  15. Periodic point concept
  16. Schwarzian derivative concept
  17. Topological conjugacy concept
  18. Topological entropy concept
  19. Ordinary differential equation definition
  20. Lebesgue measure object
  21. Solution of an ordinary differential equation definition
  22. Tent map example
  23. Initial value problem definition
  24. Exponential growth and decay example
  25. Logistic equation example
  26. Logistic map example
  27. Singer's theorem statement
  28. Jakobson's theorem statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Logistic_map
About this page
TagW49VGF1WDE
URIm2://W49VGF1WDE
Kindstatement, theorem
WritingW0 stub
MSC37E05, 37C40, 37D25
StatusThis copy of the site has no build data. Run m2 status W49VGF1WDE.
AboutLogistic map
UsesLogistic map, Absolutely continuous measure, Invariant measure, Lebesgue measure, Lyapunov exponent, Singer's theorem

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