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Kaplan–Yorke map

Kaplan–Yorke map is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Kaplan–Yorke map rather than just read about it. In short: The Kaplan–Yorke map is a discrete-time dynamical system. It is an example of a dynamical system that exhibits chaotic behavior.

Kaplan–Yorke map — main illustration
Kaplan–Yorke map — illustration

Key takeaways

  • Kaplan–Yorke map belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Kaplan–Yorke map to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Kaplan–Yorke map from memory before moving on to harder problems.

Reference excerpt

The Kaplan–Yorke map is a discrete-time dynamical system. It is an example of a dynamical system that exhibits chaotic behavior. The Kaplan–Yorke map takes a point (xn, yn ) in the plane and maps it to a new point given by

x n + 1 = 2 x n ( mod 1 ) {\displaystyle x_{n+1}=2x_{n}\ ({\textrm {mod}}~1)}

y n + 1 = α y n + cos ⁡ ( 4 π x n ) {\displaystyle y_{n+1}=\alpha y_{n}+\cos(4\pi x_{n})}

where mod is the modulo operator with real arguments. The map depends on only the one constant α.

Calculation method Due to roundoff error, successive applications of the modulo operator will yield zero after some ten or twenty iterations when implemented as a floating point operation on a computer. It is better to implement the following equivalent algorithm:

a n + 1 = 2 a n ( mod b ) {\displaystyle a_{n+1}=2a_{n}\ ({\textrm {mod}}~b)}

x n + 1 = a n / b {\displaystyle x_{n+1}=a_{n}/b}

y n + 1 = α y n + cos ⁡ ( 4 π x n ) {\displaystyle y_{n+1}=\alpha y_{n}+\cos(4\pi x_{n})}

where the a n {\displaystyle a_{n}} and b {\displaystyle b} are computational integers. It is also best to choose b {\displaystyle b} to be a large prime number in order to get many different values of x n {\displaystyle x_{n}} . Another way to avoid having the modulo operator yield zero after a short number of iterations is

x n + 1 = 2 x n ( mod 0.99995 ) {\displaystyle x_{n+1}=2x_{n}\ ({\textrm {mod}}~0.99995)}

y n + 1 = α y n + cos ⁡ ( 4 π x n ) {\displaystyle y_{n+1}=\alpha y_{n}+\cos(4\pi x_{n})}

which will still eventually return zero, albeit after many more iterations.

References J.L. Kaplan and J.A. Yorke (1979). H.O. Peitgen and H.O. Walther (ed.). Functional Differential Equations and Approximations of Fixed Points (Lecture Notes in Mathematics 730). Springer-Verlag. ISBN 0-387-09518-7. P. Grassberger and I. Procaccia (1983). "Measuring the strangeness of strange attractors". Physica. 9D (1–2): 189–208. Bibcode:1983PhyD....9..189G. doi:10.1016/0167-2789(83)90298-1.

Illustrations

Kaplan–Yorke map: A plot of 100,000 iterations of the Kaplan-Yorke map with α=0.2. The initial value (x0,y0) was (128873/350377,0.667751).
A plot of 100,000 iterations of the Kaplan-Yorke map with α=0.2. The initial value (x0,y0) was (128873/350377,0.667751).

Worked examples

Example 1 — a first encounter with Kaplan–Yorke map

Start with the simplest possible case. Write down what Kaplan–Yorke map claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kaplan–Yorke map before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kaplan–Yorke map ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kaplan–Yorke map

In research
Kaplan–Yorke map appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Kaplan–Yorke map in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Kaplan–Yorke map is common in secondary-school and first-year university syllabi. It links to neighbouring topics Chaos theory stubs, Chaotic maps, so understanding it makes those chapters shorter.
In everyday life
Look for Kaplan–Yorke map outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Kaplan–Yorke map in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Kaplan–Yorke map means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Kaplan–Yorke map out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kaplan–Yorke map in simple terms?

The Kaplan–Yorke map is a discrete-time dynamical system. It is an example of a dynamical system that exhibits chaotic behavior.

Why does Kaplan–Yorke map matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kaplan–Yorke map?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kaplan–Yorke map.

Tags

  • Chaos theory stubs
  • Chaotic maps

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