PanXuZhou¶
Systems / ODEs / Coupled systems
A two-scroll, Lorenz-like chaotic attractor in the Dequan-Li family at the Pan–Xu–Zhou parameters, where the x·z and x² terms switch off. The catalogue ships k = 28 rather than the paper's k = 16: the published value lies below the Hopf threshold k ≈ 17.27, where the orbit settles onto a stable focus instead of sustaining chaos.
Definition¶
\[
\begin{aligned}
\dot{x} &= - a x + a y + d x z \\
\dot{y} &= f y + k x - x z \\
\dot{z} &= c z - eps x^{2} + x y
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
a |
10 |
x–y coupling gain |
c |
-2.6667 |
z self-feedback |
d |
0 |
x·z term strength |
eps |
0 |
x² term strength |
f |
0 |
y self-feedback |
k |
28 |
y forcing gain |
State variables: x, y, z
Properties¶
Lyapunov spectrum
$+1,\; 0,\; -13.67$
measured; the sum is pinned analytically by the constant divergence -(a - f) + c = -12.667
measured; the sum is pinned analytically by the constant divergence -(a - f) + c = -12.667
Kaplan–Yorke dimension
$D_{KY} = 2.073$
Divergence ∇·f
$\nabla\!\cdot f = - a + c + d z + f$
state-dependent
state-dependent
Equilibria
3 equilibria
0 stable · 3 unstable
0 stable · 3 unstable
Use it in TSDynamics¶
import tsdynamics as ts
system = ts.systems.PanXuZhou()
traj = system.run(final_time=100.0, dt=0.01)
ts.plot(traj)
spectrum = ts.analysis.lyapunov_spectrum(system)
ts.analysis.kaplan_yorke_dimension(spectrum)
Reference¶
Zhou, Wuneng et al. (2008), Phys. Lett. A 372, 5773-5777
doi:10.1016/j.physleta.2008.07.032