Description Usage Arguments Value Author(s) Examples

Uses stability analysis to classify equilibrium points. Uses the Taylor Series approach (also known as Perturbation Analysis) to classify equilibrium points of a one dimensional autonomous ODE system, or the Jacobian approach to classify equilibrium points of a two dimensional autonomous ODE system. In addition, it can be used to return the Jacobian at any point of a two dimensional system.

1 2 |

`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 guide. |

`ystar` |
The point at which to perform stability analysis. For a one variable system this should be a single number, for a two variable system this should be a vector of length two (i.e. presently only one equilibrium points stability can be evaluated at a time). Alternatively this can be left blank and the user can use locator to choose a point to perform the analysis. However, given you are unlikely to locate exactly the equilibrium point, if possible enter y.star yourself. Defaults to NULL. |

`parameters` |
Parameters of the ODE system, to be passed to deriv. Supplied as a vector; 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". |

`h` |
Step length used to approximate the derivative(s). Defaults to 1e-7. |

`summary` |
Set to either TRUE or FALSE to determine whether a summary of the stability analysis is returned. Defaults to TRUE. |

`state.names` |
State names for ode functions that do not use positional states |

Returns a list with the following components (the exact make up is dependent upon the value of system):

`classification` |
The classification of y.star. |

`Delta` |
In the two dimensional system case, value of the Jacobians determinant at y.star. |

`deriv` |
As per input. |

`discriminant` |
In the one dimensional system case, the value of the discriminant used in Perturbation Analysis to assess stability. In the two dimensional system case, the value of T^2 - 4*Delta. |

`eigenvalues` |
In the two dimensional system case, the value of the Jacobians eigenvalues at y.star. |

`eigenvectors` |
In the two dimensional system case, the value of the Jacobians eigenvectors at y.star. |

`jacobian` |
In the two dimensional system case, the Jacobian at y.star. |

`h` |
As per input. |

`parameters` |
As per input. |

`summary` |
As per input. |

`system` |
As per input. |

`tr` |
In the two dimensional system case, the value of the Jacobians trace at y.star. |

`ystar` |
As per input. |

Michael J. Grayling

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# Determine the stability of the equilibrium points of the one dimensional
# autonomous ODE system example2.
example2.stability.1 <- stability(example2, ystar = 0, system = "one.dim")
example2.stability.2 <- stability(example2, ystar = 1, system = "one.dim")
example2.stability.3 <- stability(example2, ystar = 2, system = "one.dim")
# Determine the stability of the equilibrium points of the two dimensional autonomous
# ODE system example11.
example11.stability.1 <- stability(example11, ystar = c(0, 0))
example11.stability.2 <- stability(example11, ystar = c(0, 2))
example11.stability.3 <- stability(example11, ystar = c(1, 1))
example11.stability.4 <- stability(example11, ystar = c(3, 0))
``` |

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