Unit 5: Calculus

Topic 5.17: Phase portraits (HL only) Questions

Practice 15 exam-style questions for IB Math AI SL Topic 5.17. Review the question stems below, then unlock the full Question Bank to access markschemes, model answers, and AI grading.

11 mark
2026
Which statement guarantees the origin is STABLE (all trajectories approach it)?
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21 mark
2026
The eigenvalues of a system's matrix M are −2 and −5. The origin is:
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3Find4 marks
2026
A coupled system is dx/dt = 2x + y, dy/dt = x + 2y (per year). Find the eigenvalues of M and classify the equilibrium at the origin.
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4Find4 marks
2026
A predator (x) and prey (y) model is dx/dt = 0.2x − 0.1y, dy/dt = 0.1x + 0.05y (hundreds of animals, t in years). Starting at x = 40, y = 20 (hundreds), use Euler's method with step h = 1 year to estimate the populations after 1 year.
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51 mark
2026
The matrix M = (a, b; c, d) of a coupled system has det M = 6 and tr M = −5. The eigenvalues satisfy λ² + 5λ + 6 = 0, giving λ = −2, −3. The equilibrium is:
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61 mark
2026
A coupled system has eigenvalues λ = ±3i (purely imaginary). The trajectories are:
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71 mark
2026
For a saddle point, a trajectory generally:
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8Find5 marks
2026
For the system with M = (−3, 0; 0, −1), find the eigenvalues and eigenvectors, then write the general solution.
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9Show that3 marks
2026
Show that the origin is a saddle point.
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10Sketch3 marks
2026
Sketch the phase portrait near the origin.
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11Interpret3 marks
2026
Interpret the long-term behaviour of the two populations.
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12Describe4 marks
2026
A predator–prey deviation model has M = (0, −2; 2, 0). Find the eigenvalues and describe the long-term behaviour of the trajectories.
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13Find5 marks
2026
Two competing firms' market shares (deviations from equilibrium) follow dx/dt = x + y, dy/dt = 4x + y. Find the eigenvalues, an eigenvector for each, and describe the trajectory shape.
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14Find4 marks
2026
A system has M = (1, −2; 2, 1). Find the eigenvalues and classify the equilibrium, stating whether trajectories spiral inward or outward.
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15Find4 marks
2026
Find its eigenvalues and eigenvectors.
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