Selkov¶
Systems / ODEs / Chemical & biological systems
The minimal glycolytic clock — one product-activation loop, and a limit cycle for every substrate supply inside the Hopf window.
Definition¶
\[
\begin{aligned}
\dot{x} &= a y + x^{2} y - x \\
\dot{y} &= - a y + b - x^{2} y
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
a |
0.1 |
scaled reverse rate of the enzyme (oscillations need a < 1/8) |
b |
0.6 |
scaled substrate supply rate — the bifurcation parameter |
State variables: x, y
Properties¶
Lyapunov spectrum
≥ 0 positive exponents (literature — analytic: Poincare-Bendixson forbids chaos in a planar autonomous flow)
Kaplan–Yorke dimension
TODO — requires a numeric Lyapunov spectrum
Divergence ∇·f
$\nabla\!\cdot f = - a - x^{2} + 2 x y - 1$
state-dependent
state-dependent
Equilibria
1 equilibria
0 stable · 1 unstable
0 stable · 1 unstable
Use it in TSDynamics¶
import tsdynamics as ts
system = ts.systems.Selkov()
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¶
Sel'kov (1968), Eur. J. Biochem. 4, 79-86
doi:10.1111/j.1432-1033.1968.tb00175.x