IB Maths AI HL Coupled & Second Order Differential Equations Paper 1 & 2 ~6 min read

Sketching Solution Trajectories

A phase portrait shows typical trajectories; given an initial condition there’s just one. To sketch it, mark the start point, work out which way it sets off from the rates at t = 0, then steer using the eigenvector lines and the system’s overall shape.

šŸ“˜ What you need to know

Getting the initial direction

🧠 “Start point, first step, then the flow”

Plot the start point, take the first step in the direction (dxdt, dydt) at t = 0, then follow the flow set by the eigenvalues.

Reading the first step: evaluate both rates at the start. dxdt > 0 means moving right, < 0 left; dydt > 0 means up, < 0 down. Together they give the initial direction vector.

🧭 Recipe — sketch a solution trajectory

  1. Eigen-data: find (or read off) the eigenvalues and eigenvectors of M.
  2. Start point: given, or substitute t = 0 into the exact solution.
  3. Initial direction: compute dxdt and dydt at the start.
  4. Draw the eigenvector lines (real eigenvalues) for reference.
  5. Sketch the curve from the start, in that direction, becoming parallel to the larger eigenvalue’s line as it moves away.

Worked example

For dxdt = x āˆ’ 5y, dydt = āˆ’3x + 3y, the exact solution is x = e6t(āˆ’1, 1) āˆ’ 2eāˆ’2t(5, 3). Sketch the trajectory as t increases from 0.

Solution trajectory from (āˆ’11, āˆ’5)
x y (āˆ’11,āˆ’5) y = āˆ’x (Ī»=6) y = ā…—x (Ī»=āˆ’2)
Eigenvalues 6 and āˆ’2 (a saddle). The curve starts at (āˆ’11, āˆ’5) heading up and to the right (direction (14, 18)), then bends to run parallel to the y = āˆ’x line — the eigenvector for the positive eigenvalue — as it moves away.
WE 1

Find the start point of the trajectory.

Substitute t = 0 into the exact solution.

x = (āˆ’1, 1) āˆ’ 2(5, 3) = (āˆ’1 āˆ’ 10, 1 āˆ’ 6) start point (āˆ’11, āˆ’5)
WE 2

Find the initial direction of the trajectory.

Evaluate both rates at the start point.

dxdt = (āˆ’11) āˆ’ 5(āˆ’5) = 14 dydt = āˆ’3(āˆ’11) + 3(āˆ’5) = 18 direction (14, 18) — up and to the right
WE 3

Which eigenvector line does the trajectory approach as t → āˆž?

The larger eigenvalue dominates as t grows.

eigenvalues 6 and āˆ’2; larger is 6 eigenvector (āˆ’1, 1) → line y = āˆ’x parallel to y = āˆ’x as t → āˆž
WE 4

A trajectory starts at (2, āˆ’3) in a system with dxdt = y, dydt = āˆ’x. Find the initial direction.

Substitute the start point into both rates.

dxdt = y = āˆ’3 (left) dydt = āˆ’x = āˆ’2 (down) direction (āˆ’3, āˆ’2) — down and to the left
WE 5

For the worked-example system, write the equations of both eigenvector lines.

Each line is through the origin parallel to its eigenvector.

(āˆ’1, 1) → gradient āˆ’1 → y = āˆ’x (5, 3) → gradient ā…— → y = ā…—x y = āˆ’x and y = ā…—x

šŸ’” Top tips

⚠ Common mistakes

Next up — Second Order Differential Equations. You’ve now handled coupled systems from every angle — exact solutions, phase portraits, equilibrium points, and trajectories. The final topic connects back to them: a second order equation like d²xdt² + adxdt + bx = 0 becomes a coupled first-order system through the substitution y = dxdt, so everything you’ve built here applies straight away.

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