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agmonetti

mathmethods-mcp

by agmonetti

dynamic_1d_solve

Analyze 1D autonomous dynamical systems by computing equilibria, stability, phase portraits, and time series for custom or standard models.

Instructions

Analyze the 1D autonomous system x' = f(x): equilibria, stability, phase portrait and time series.

Args: func_str: f(x) used when model is 'custom'. model: 'custom' | 'malthus' (rx) | 'verhulst' (mux*(1-x/K)) | 'newton' (-k*(x-Ta)). params: parameter values, e.g. {'r': 1.5} or {'mu': 1.0, 'K': 2.0}. x_min, x_max: state window. t_max: final time of the time series. n_phase: resolution of the phase analysis. n_time: number of time steps. initial_conditions: starting states, e.g. [0.1, 1.0]. control_enabled: add a constant control term -h (verhulst/custom only).

Returns: Dict with equilibria, their stability, the phase portrait data and time solutions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNocustom
t_maxNo
x_maxNo
x_minNo
n_timeNo
paramsNo
n_phaseNo
func_strNox
control_enabledNo
initial_conditionsNo

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