phaseplane | R Documentation |
phaseplane
visualizes the vector field for a one or two dimensional differential equation.
phaseplane( system_eq, x_var, y_var, parameters = NULL, x_window = c(-4, 4), y_window = c(-4, 4), plot_points = 10, eq_soln = FALSE )
system_eq |
(required) The 1 or 2 dimensional system of equations, written in formula notation as a vector (i.e. c(dx ~ f(x,y), dy ~ g(x,y))) |
x_var |
(required) x axis variable (used to create the plot and label axes) |
y_var |
(required) y axis variable (used to create the plot and label axes) |
parameters |
(optional) any parameters in the system of equations |
x_window |
(optional) x axis limits. Must be of the form c(minVal,maxVal). Defaults to -4 to 4. |
y_window |
(optional) y axis limits. Must be of the form c(minVal,maxVal). Defaults to -4 to 4. |
plot_points |
(optional) number of points we evaluate on the grid in both directions. Defaults to 10. |
eq_soln |
(optional) TRUE / FALSE - lets you know if you want the code to estimate if there are any equilibrium solutions in the provided window. This will print out the equilibrium solutions to the console. |
A phase plane diagram of system of differential equations
# For a two variable system of differential equations we use the # formula notation for dx/dt and the dy/dt separately: system_eq <- c(dx ~ cos(y), dy ~ sin(x)) phaseplane(system_eq,x_var='x',y_var='y') # For a one dimensional system: dy/dt = f(t,y). In this case the # xWindow represents time. # However, the code is structured a little differently. # Consider dy/dt = -y*(1-y): system_eq <- c(dt ~ 1, dy ~ -y*(1-y)) phaseplane(system_eq,x_var="t",y_var="y") # Here is an example to find equilibrium solutions. system_eq <- c(dx ~ y+x, dy ~ x-y) phaseplane(system_eq,x_var='x',y_var='y',eq_soln=TRUE) # We would expect an equilibrium at the origin, # but no equilibrium solution was found, but if we narrow the search range: phaseplane(system_eq,x_var='x',y_var='y',x_window = c(-0.1,0.1),y_window=c(-0.1,0.1),eq_soln=TRUE) # Confirm any equilbrium solutions through direct evaluation of the differential equation.
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