IsothermalChemical¶
Systems / ODEs / Chemical & biological systems
The Petrov–Scott–Showalter isothermal autocatalator — cubic autocatalysis feeding a slow species, the canonical route to mixed-mode oscillations and chaos in unforced chemistry.
Definition¶
\[
\begin{aligned}
\dot{y_{0}} &= \mu \left(\kappa + y_{2}\right) - y_{0} y_{1}^{2} - y_{0} \\
\dot{y_{1}} &= \frac{y_{0} y_{1}^{2} + y_{0} - y_{1}}{\sigma} \\
\dot{y_{2}} &= \frac{y_{1} - y_{2}}{\delta}
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
delta |
1 |
timescale ratio of the slow species |
kappa |
2.5 |
feedback coupling of the slow species |
mu |
0.29786 |
scaled inflow / precursor-decay rate |
sigma |
0.013 |
timescale ratio of the fast autocatalyst |
Properties¶
Lyapunov spectrum
$-0.02424,\; +0.001694,\; -6.767$
computed at build
computed at build
Kaplan–Yorke dimension
$D_{KY} = 1.07$
Divergence ∇·f
$\nabla\!\cdot f = - y_{1}^{2} - 1 + \frac{2 y_{0} y_{1}}{\sigma} - \frac{1}{\sigma} - \frac{1}{\delta}$
state-dependent
state-dependent
Equilibria
1 equilibria
0 stable · 1 unstable
0 stable · 1 unstable
Define it in TSDynamics¶
import tsdynamics as ts
sys = ts.systems.IsothermalChemical()
traj = sys.integrate(final_time=100.0, dt=0.01)
exps = sys.lyapunov_spectrum()
ts.kaplan_yorke_dimension(exps)
Reference¶
Petrov, Scott & Showalter (1992), J. Chem. Phys. 97, 6191-6198