Learning objectives
By the end of this lesson, you should be able to:
- Iterate the logistic map xₙ₊₁=rxₙ(1−xₙ).
- Use a cobweb diagram to visualize iteration.
- Relate parameter r to long-term behavior.
Prerequisites: Fixed Points and Stability
EXPERIMENT Interactive dynamics laboratory
Perturb → Evolve → CompareChange one parameter at a time. Predict the qualitative behavior before running or moving the control.
A simple nonlinear map
The logistic map is \(x_{n+1}=r x_n(1-x_n)\), usually with \(0\le x_n\le1\). Despite its simplicity, changing \(r\) produces a remarkable range of long-term behaviors.
Reading a cobweb plot
The curve \(y=f(x)\) gives the next state, while the diagonal \(y=x\) carries that output forward as the next input. Repeating vertical and horizontal steps draws the iteration geometrically.
Parameter-dependent behavior
As \(r\) increases, the system moves through stable fixed points, periodic cycles, period doubling, and chaotic regimes.
Key takeaways
What should stay with you
- A simple nonlinear map can generate fixed points, cycles, and chaos.
- Cobweb plots make iteration visible.
- The control parameter r changes the qualitative regime of the system.
Knowledge check
In a cobweb plot, why do we alternate between the curve y=f(x) and the diagonal y=x?
The diagonal transfers y=f(xₙ) horizontally to xₙ₊₁, allowing repeated iteration to be drawn geometrically.