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Logistic map simulation

How does a simple map's long-term behaviour depend on its growth rate — and how chaotic does it get?

▶ Run the simulationSee the measured result

Measured by the lab
4.6692012
Known value
4.6692016
Relative error
8.97e-8

Units: dimensionless (Feigenbaum δ, quadratic-maximum class; Briggs 1991 high-precision value)

How the lab tests it

Plot the attractor at every growth rate r (the bifurcation diagram) and measure the Lyapunov exponent λ(r) beneath it.

What it checks

the universal Feigenbaum constant 4.669, λ(4) = ln 2, and chaos onset at r∞ ≈ 3.5699

This simulation has a catalogued, oracle-checked result: Feigenbaum's constant is really in there.