Linear Stability Test
Ch 4 — Part I — Explicit & Qualitative Methods
The linear stability test uses the sign of \(f'(c)\) at an equilibrium \(c\) to classify it — faster than plotting and often sufficient.
The test
For \(y' = f(y)\) with \(f(c) = 0\):
- \(f'(c) < 0\) ⇒ stable (locally attracting).
- \(f'(c) > 0\) ⇒ unstable (locally repelling).
- \(f'(c) = 0\): test is inconclusive — use higher derivatives or direct sign analysis.
Why it works (proof sketch)
Near \(c\), \(f(y) \approx f'(c) (y - c)\). Let \(u = y - c\); the linearized ODE is \(u' = f'(c) u\), exponential with rate \(f'(c)\). Decay if \(f'(c) < 0\), growth if \(f'(c) > 0\).
Practice Problems
Hint
Solution
Equilibria: 0, ±1. \(f'(0) = 1 > 0\) (unstable). \(f'(\pm 1) = -2 < 0\) (stable).
Answer: 0 unstable, ±1 stable.
Hint
Solution
\(f'(0) = 1 > 0\) (unstable). \(f'(\pi) = -1 < 0\) (stable).
Answer: 0 unstable, π stable.
Hint
Solution
Near 0, \(f(y) \approx y^3\). Sign of \(f\) flips across 0 from negative (for \(y<0\)) to positive (for \(y>0\)): unstable.
Answer: Unstable.
Hint
Solution
\(P=0\): \(f'(0) = r > 0\) (unstable). \(P=K\): \(f'(K) = -r < 0\) (stable).
Answer: Extinction unstable, carrying capacity stable.