Bogdanov¶
The discrete-time normal form of the Bogdanov-Takens double-zero bifurcation — invariant circles, Arnold tongues, and chaos near a cusp.
Definition¶
\[
\begin{aligned}
x' &= k x \left(x - 1\right) + \mu x y + x + y \left(eps + 1\right) \\
y' &= k x \left(x - 1\right) + \mu x y + y \left(eps + 1\right)
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
eps |
0 |
linear damping/detuning (the Hopf parameter) |
k |
1.2 |
strength of the quadratic x(x-1) nonlinearity |
mu |
0 |
coefficient of the mixed x*y term |
State variables: x, y
Properties¶
Lyapunov spectrum
TODO — lyapunov_spectrum failed: AttributeError
Kaplan–Yorke dimension
TODO — requires a numeric Lyapunov spectrum
Divergence ∇·f
n/a — discrete map — flow divergence undefined (per-step contraction is |det J|)
Equilibria
2 fixed points
0 stable · 2 unstable
0 stable · 2 unstable
Use it in TSDynamics¶
import tsdynamics as ts
system = ts.systems.Bogdanov()
traj = system.run(steps=10_000)
ts.plot(traj)
spectrum = ts.analysis.lyapunov_spectrum(system)
ts.analysis.kaplan_yorke_dimension(spectrum)
Reference¶
Bogdanov (1981), Selecta Math. Soviet. 1, 389-421
