IB Maths AI HL Further Differentiation Paper 1 & 2 ~8 min read

Stationary Points

A stationary point is anywhere the curve is momentarily flat — f(x) = 0. Most are turning points (a local max or min), but some are points of inflection. Now that you have the second derivative, classifying them is fast: the sign of f(x) usually tells you the nature in one step.

📘 What you need to know

Stationary vs turning points

Every turning point is stationary, but not every stationary point turns. The difference is whether the curve actually changes direction there.

turning point curve turns Changes increasing↔decreasing — a local max or min.
horizontal inflection flat but no turn Stationary (f = 0) but the curve carries on the same direction.
Second derivative test f(x) > 0 → min · f(x) < 0 → max · f(x) = 0 → inconclusive ✗ not in booklet — remember the directions

🧠 “Smile is a min, frown is a max”

Positive f bends the curve into a smile ⌣ (concave up → minimum); negative f bends it into a frown ⌢ (concave down → maximum).

Local vs global: a local min/max is the lowest/highest point nearby. Many curves run off to ±∞, so a local extreme often isn’t the function’s overall (“global”) extreme.

Finding and classifying them

🧭 Recipe — coordinates & nature

  1. Find f(x) and solve f(x) = 0 for the x-coordinate(s).
  2. Find f(x) and evaluate it at each stationary point.
  3. Read the sign: + → local min, − → local max, 0 → use the first derivative test.
  4. First derivative test (if needed): check f just below and above; +→− is a max, −→+ is a min, no sign change is a point of inflection.
  5. Find y by substituting each x into f(x).
Point typef beforeat pointf afterf
Local minimum0+> 0
Local maximum+0< 0
Inflection (stationary)same sign0same sign= 0

🤔 Why is f = 0 not enough on its own?

A zero second derivative could be an inflection — but it could also be a max or min where the bend just happens to flatten momentarily. The second derivative test simply can’t tell which, so you fall back to the first derivative test: watching whether the gradient actually changes sign as you pass through. Only a genuine sign change confirms a turning point.

Worked examples

All parts use f(x) = 2x3 − 3x2 − 36x + 25.

WE 1

Find f(x) and the x-coordinates of the stationary points

Differentiate and solve f(x) = 0.

f′(x) = 6x² − 6x − 36 = 6(x² − x − 6) 6(x − 3)(x + 2) = 0 x = 3 and x = −2
WE 2

Find the y-coordinates

Substitute each x into f(x).

f(3) = 2(27) − 3(9) − 36(3) + 25 = 54 − 27 − 108 + 25 = −56 f(−2) = 2(−8) − 3(4) − 36(−2) + 25 = −16 − 12 + 72 + 25 = 69 (3, −56) and (−2, 69)
WE 3

Find f(x) and classify x = 3

Differentiate again and check the sign at x = 3.

f″(x) = 12x − 6 = 6(2x − 1) f″(3) = 6(6 − 1) = 30 30 > 0 → concave up (3, −56) local minimum
WE 4

Classify x = −2

Same second derivative, evaluated at x = −2.

f″(−2) = 6(−4 − 1) = −30 −30 < 0 → concave down (−2, 69) local maximum Both stationary points are turning points here.
WE 5

When the test fails: classify the stationary point of y = x4

Here f = 0 at the stationary point, so use the first derivative test.

f′(x) = 4x³ = 0 → x = 0; f″(x) = 12x², f″(0) = 0 (inconclusive) f′(−1) = −4 (< 0), f′(1) = 4 (> 0) − → + ⟹ minimum (0, 0) local minimum

💡 Top tips

⚠ Common mistakes

Next up — Concavity & Points of Inflection. You’ve used f(x) to classify turning points; the final topic of the unit zooms in on what f reveals about the shape of the whole curve — where it’s concave up or concave down, and the points of inflection where that concavity flips (which, crucially, need not be stationary at all).

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