QED
Differential Equations · step 12 of 14

Slope fields, equilibria & qualitative behaviour

A slope field draws the direction dy/dx = f(x,y) at each point, so solution curves follow the arrows without any formula being solved. Equilibria are the constant solutions where f = 0, and their stability follows from the sign of f nearby: solutions approaching from both sides means stable, moving away means unstable, and mixed means semi-stable.

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Method: how to approach it

The order below is what examiners expect to see, and each step carries its own marks.

  1. Find the equilibriaSolve f(x,y) = 0 for y. These horizontal lines are constant solutions.
  2. Sign-test between the equilibriaPick a test y in each interval and evaluate f. Positive means solutions rise; negative means they fall.
  3. Classify each equilibriumArrows pointing in from both sides means stable; out on both sides means unstable; one of each means semi-stable.
  4. Sketch representative curvesThey follow the arrows and can never cross an equilibrium, by uniqueness.

Worked example

For dy/dt = y(1 − y), find the equilibria and classify them.

  1. Equilibria: y(1 − y) = 0, so y = 0 and y = 1.
  2. For 0 < y < 1, take y = 0.5: f = 0.5(0.5) = 0.25 > 0, so solutions increase towards 1.
  3. For y > 1, take y = 2: f = 2(−1) = −2 < 0, so solutions decrease towards 1.
  4. For y < 0, take y = −1: f = −1(2) = −2 < 0, so solutions decrease away from 0.

Answer. y = 0 is unstable and y = 1 is stable — the logistic equation, where any positive starting population tends to the carrying capacity 1.

Where marks get dropped

These are the specific errors that cost credit on slope fields, equilibria & qualitative behaviour questions — QED's rubric penalises each of them separately.

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Slope fields, equilibria & qualitative behaviour — frequently asked questions

What is an autonomous equation?

One where f depends only on y, not on t. Its slope field looks the same in every vertical strip, which is why the phase-line analysis works.

How do I classify stability algebraically?

For an autonomous equation, an equilibrium y* is stable when f′(y*) < 0 and unstable when f′(y*) > 0. For the logistic f′ = 1 − 2y, giving f′(0) = 1 > 0 and f′(1) = −1 < 0 ✓.

Why bother when I can solve the equation?

Because most equations cannot be solved in closed form. Qualitative analysis gives the long-run behaviour regardless.

The rest of Differential Equations

Solving and modelling with ODEs, from separable to systems. Each subtopic below has its own method, worked example and mark-losing traps.

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