Van der Pol

The Van der Pol oscillator x'' = μ (1 - x²) x' - x, which settles on a limit cycle for μ > 0.

• Name: van_der_pol
• Field: physics/nonlinear_oscillators
• Formalism: ordinary differential equations
• References: van der Pol 1926; Gros 2015

Factory

@register_model(
    field='physics/nonlinear_oscillators',
    tags=('limit cycle', 'ode', 'second order', 'oscillation'),
    references=('van der Pol 1926', 'Gros 2015'),
    defaults={'until': 50.0, 'dt': 0.05},
)
def van_der_pol(x: float = 2.0, v: float = 0.0, *, mu: float = 1.0) -> System:
    """Return the Van der Pol oscillator `x'' = μ (1 - x²) x' - x`, which settles on a limit cycle for `μ > 0`.

    Args:
        x:
            The initial displacement.

        v:
            The initial velocity.

        mu:
            The strength of the nonlinear damping.

    Returns:
        system:
            The model, with the displacement `oscillator.x` of order 2 and its velocity `oscillator.x_d1`.

    Examples:
        >>> from skcomplex.models.physics.nonlinear_oscillators import van_der_pol
        >>> van_der_pol(mu=3.0).elements[0].mu
        3.0
    """
    return System(elements=[VanDerPolElement('oscillator', x=x, x_d1=v, mu=mu)])

Components

class VanDerPolElement(Element):
    """Van der Pol oscillator `x'' = mu (1 - x^2) x' - x + A cos(omega t)`, with an optional periodic forcing.

    The damping is negative for small amplitudes and positive for large ones, so the unforced oscillator, `A = 0`,
    settles on a limit cycle of amplitude near 2. A forcing of amplitude `A` and frequency `omega` locks it or drives it
    quasiperiodically or chaotically.

    Args:
        label:
            The label of the oscillator.

        visual:
            How the oscillator is drawn, or `None` for `default_visual_`.

        x:
            The initial displacement.

        x_d1:
            The initial velocity.

        mu:
            The strength of the nonlinear damping.

        A:
            The amplitude of the forcing.

        omega:
            The frequency of the forcing.

    Attributes:
        default_visual_:
            The visual of the oscillator when it sets none.

    Examples:
        >>> from skcomplex.core.system import System
        >>> from skcomplex.engine.runtime import Simulation
        >>> from skcomplex.models.physics.nonlinear_oscillators import VanDerPolElement
        >>> system = System(elements=[VanDerPolElement('oscillator', x=0.1)])
        >>> trajectory = Simulation(system, dt=0.1).check().prepare().run(until=50.0).trajectory_
        >>> round(float(abs(trajectory.values('oscillator.x')[-300:]).max()), 1)
        2.0
    """

    def __init__(
        self,
        label: str,
        visual: VisualSpec | None = None,
        *,
        x: Annotated[float, StateSpec(order=2)] = 2.0,
        x_d1: float = 0.0,
        mu: Annotated[float, ParameterSpec(domain=RealSet.closed_open(0, oo))] = 1.0,
        A: Annotated[float, ParameterSpec()] = 0.0,
        omega: Annotated[float, ParameterSpec()] = 1.0,
    ) -> None:
        super().__init__(label, visual=visual)
        self.x = x
        self.x_d1 = x_d1
        self.mu = mu
        self.A = A
        self.omega = omega

    def _get_laws(self, namespace: SimpleNamespace) -> list[BaseLaw]:
        """Return the acceleration of the oscillator.

        Args:
            namespace:
                The namespace of the symbols the laws can use.

        Returns:
            laws:
                The rate of the second derivative of `x`.
        """
        x = namespace.x
        damping = namespace.mu * (1 - x**2) * derivative(x, 1)
        return [RateLaw(x, damping - x + namespace.A * cos(namespace.omega * namespace.t))]

Equations

oscillator.x: diff(x_oscillator(t), t, t) == -(x_oscillator(t)^2 - 1)*mu_oscillator*diff(x_oscillator(t), t) + A_oscillator*cos(omega_oscillator*t) - x_oscillator(t)