simplePendulum function

The simple pendulum model

The simple pendulum model

The derivative function of the simple pendulum model, an example of a two-dimensional autonomous ODE system.

simplePendulum(t, y, parameters)

Arguments

  • t: The value of , the independent variable, to evaluate the derivative at. Should be a numeric vector of length one.

  • y: The values of and , the dependent variables, to evaluate the derivative at. Should be a numeric

    vector of length two.

  • parameters: The values of the parameters of the system. Should be a numeric vector prescribing the value of .

Returns

Returns a list containing the values of the two derivatives at .

Details

simplePendulum evaluates the derivative of the following ODE at the point :

Its format is designed to be compatible with ode from the deSolve package.

Examples

# Plot the velocity field, nullclines and several trajectories simplePendulum_flowField <- flowField(simplePendulum, xlim = c(-7, 7), ylim = c(-7, 7), parameters = 5, points = 19, add = FALSE) y0 <- matrix(c(0, 1, 0, 4, -6, 1, 5, 0.5, 0, -3), 5, 2, byrow = TRUE) simplePendulum_nullclines <- nullclines(simplePendulum, xlim = c(-7, 7), ylim = c(-7, 7), parameters = 5, points = 500) simplePendulum_trajectory <- trajectory(simplePendulum, y0 = y0, tlim = c(0, 10), parameters = 5) # Determine the stability of two equilibrium points simplePendulum_stability_1 <- stability(simplePendulum, ystar = c(0, 0), parameters = 5) simplePendulum_stability_2 <- stability(simplePendulum, ystar = c(pi, 0), parameters = 5)

See Also

ode

Author(s)

Michael J Grayling

  • Maintainer: Michael J Grayling
  • License: MIT + file LICENSE
  • Last published: 2022-09-02