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agmonetti

mathmethods-mcp

by agmonetti

dynamic_2d_linear_solve

Analyze the 2D linear dynamical system X' = A·X + B by computing eigenvalues, nullclines, analytic solutions, and trajectories for phase portraits.

Instructions

Solve and classify the linear 2D system X' = A·X + B with constant matrix A.

Args: a, b, c, d: entries of A = [[a, b], [c, d]]. e, f: constant forcing vector B = [e, f]. x0, y0, t0, t_fin, h: initial condition and integration grid. x_min..y_max: window for the phase portrait. cantidad_trayectorias: number of sample trajectories.

Returns: Dict with the classification, eigenvalues, nullclines, analytic solution and trajectories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aNo
bNo
cNo
dNo
eNo
fNo
hNo
t0No
x0No
y0No
t_finNo
x_maxNo
x_minNo
y_maxNo
y_minNo
cantidad_trayectoriasNo

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