Performs numerical integration of the chosen ODE system, for a user specified set of initial conditions. Plots the resulting solution(s) in the phase plane.
trajectory( deriv, y0 =NULL, n =NULL, tlim, tstep =0.01, parameters =NULL, system ="two.dim", col ="black", add =TRUE, state.names =if(system =="two.dim") c("x","y")else"y", method ="ode45",...)
Arguments
deriv: A function computing the derivative at a point for the ODE system to be analysed. Discussion of the required structure of these functions can be found in the package vignette, or in the help file for the function ode.
y0: The initial condition(s). In the case of a one-dimensional system, this can either be a numericvector
of length one, indicating the location of the dependent variable initially, or a numeric
vector indicating multiple initial locations of the independent variable. In the case of a two-dimensional system, this can either be a numericvector of length two, reflecting the location of the two dependent variables initially, or it can be numeric
matrix where each row reflects a different initial condition. Alternatively this can be specified as NULL, and then locator can be used to specify initial condition(s) on a plot. In this case, for one-dimensional systems, all initial conditions are taken at tlim[1], even if not selected so on the graph. Defaults to NULL.
n: If y0 is left NULL, such initial conditions can be specified using locator, n sets the number of initial conditions to be chosen. Defaults to NULL.
tlim: Sets the limits of the independent variable for which the solution should be plotted. Should be a numeric
vector of length two. If tlim[2] > tlim[1], then tstep should be negative to indicate a backwards trajectory.
tstep: The step length of the independent variable, used in numerical integration. Decreasing the absolute magnitude of tstep theoretically makes the numerical integration more accurate, but increases computation time. Defaults to 0.01.
parameters: Parameters of the ODE system, to be passed to deriv. Supplied as a numericvector; the order of the parameters can be found from the deriv file. Defaults to NULL.
system: Set to either "one.dim" or "two.dim" to indicate the type of system being analysed. Defaults to "two.dim".
col: The colour(s) to plot the trajectories in. Should be a charactervector. Will be reset accordingly if it is not of the length of the number of initial conditions. Defaults to "black".
add: Logical. If TRUE, the trajectories added to an existing plot. If FALSE, a new plot is created. Defaults to TRUE.
state.names: The state names for ode functions that do not use positional states.
method: Passed to ode. See there for further details. Defaults to "ode45".
...: Additional arguments to be passed to plot.
Returns
Returns a list with the following components (the exact make up is dependent on the value of system): - add: As per input.
col: As per input, but with possible editing if a charactervector of the wrong length was supplied.
deriv: As per input.
n: As per input.
method: As per input.
parameters: As per input.
system: As per input.
tlim: As per input.
tstep: As per input.
t: A numericvector containing the values of the independent variable at each integration step.
x: In the two-dimensional system case, a numeric
matrix whose columns are the numerically computed values of the first dependent variable for each initial condition.
y: In the two-dimensional system case, a numeric
matrix whose columns are the numerically computed values of the second dependent variable for each initial condition. In the one-dimensional system case, a numeric
matrix whose columns are the numerically computed values of the dependent variable for each initial condition.
y0: As per input, but converted to a numeric
matrix if supplied as a vector initially.
Examples
# Plot the flow field, nullclines and several trajectories for the# one-dimensional autonomous ODE system logisticlogistic_flowField <- flowField(logistic, xlim = c(0,5), ylim = c(-1,3), parameters = c(1,2), points =21, system ="one.dim", add =FALSE)logistic_nullclines <- nullclines(logistic, xlim = c(0,5), ylim = c(-1,3), parameters = c(1,2), system ="one.dim")logistic_trajectory <- trajectory(logistic, y0 = c(-0.5,0.5,1.5,2.5), tlim = c(0,5), parameters = c(1,2), system ="one.dim")# Plot the velocity field, nullclines and several trajectories for the# two-dimensional autonomous ODE system simplePendulumsimplePendulum_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)