Hopalong¶
Barry Martin's "Hopalong" map — a square-root-and-sign nonlinearity that sprays iterates into layered ornamental chaotic attractors.
Definition¶
@staticmethod
def _step(X, a, b, c):
x, y = X
xp = y - 1 - np.sqrt(np.abs(b * x - 1 - c)) * np.sign(x - 1)
yp = a - x - 1
return xp, yp
Parameters¶
| Symbol | Default | Role |
|---|---|---|
a |
3.1 |
additive constant in the y-recurrence (overall offset) |
b |
2.5 |
scale inside the square-root argument |
c |
4.2 |
shift inside the square-root argument |
Properties¶
Lyapunov spectrum
$+0.04241,\; -0.04241$
computed at build
computed at build
Kaplan–Yorke dimension
$D_{KY} = 2$
Divergence ∇·f
n/a — discrete map — flow divergence undefined (per-step contraction is |det J|)
Equilibria
none found (no fixed points)
Define it in TSDynamics¶
import tsdynamics as ts
sys = ts.systems.Hopalong()
traj = sys.iterate(steps=10_000)
exps = sys.lyapunov_spectrum()
ts.kaplan_yorke_dimension(exps)
Reference¶
Dewdney (1986), Scientific American 255(3), 14-20
