Back to Topic 5.17 — Phase portraits (HL only)
5.17.1Math AI HL8 flashcards

Phase portraits of coupled systems

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Card 1 of 85.17.1
5.17.1
Question

How do you write a coupled linear system in matrix form, and where is its equilibrium?

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All 8 Flashcards — Phase portraits of coupled systems

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Card 1concept

Question

How do you write a coupled linear system in matrix form, and where is its equilibrium?

Answer

d/dt(x, y) = M(x, y) with M = (a, b; c, d); the only equilibrium is the origin (0, 0) (when M is invertible).

Card 2concept

Question

What do the eigenvalues of M tell you about the equilibrium?

Answer

Their nature classifies it: same-sign real → node, opposite-sign real → saddle, complex → spiral, purely imaginary → centre.

Card 3concept

Question

Two real eigenvalues, both NEGATIVE — what type of equilibrium?

Answer

A stable node (sink): every trajectory decays to the origin because each e^(λt) → 0.

Card 4concept

Question

Two real eigenvalues of OPPOSITE sign — what type?

Answer

A saddle point — always unstable (pulled in one direction, flung out the other).

Card 5concept

Question

Complex eigenvalues a ± bi — stable or unstable spiral?

Answer

Spiral; stable (inward) if a < 0, unstable (outward) if a > 0. If a = 0 it is a centre (closed loops).

Card 6concept

Question

What is special about a real eigenvector's direction in a phase portrait?

Answer

It is a straight-line trajectory through the origin; the state moves IN if its eigenvalue is negative, OUT if positive.

Card 7formula

Question

Write the general solution of a coupled system with real eigenvalues λ₁, λ₂.

Answer

(x, y) = A·e^(λ₁t)·v₁ + B·e^(λ₂t)·v₂, with v₁, v₂ the eigenvectors and A, B set by the starting state.

Card 8concept

Question

On the GDC, what is the calculator route for this topic?

Answer

Enter M as a matrix and use the eigenvalue/eigenvector tools; use it for Euler's method too (GDC allowed on every AI paper).

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