01 — Explanation
What does \dfrac{dy}{dx} actually mean?
A straight line has one fixed gradient everywhere, but a curve's steepness changes from point to point. Differentiation produces a new function, , that gives the exact gradient of the tangent to the curve at any chosen -value — replacing the old estimate-by-drawing-a-tangent method with an exact algebraic one.
02 — Explanation
How do I differentiate ax^n?
Multiply by the existing power, then reduce the power by :
| Term | Derivative | Note |
|---|---|---|
| The general power rule | ||
| A straight line has constant gradient | ||
| (a constant) | A constant never changes — its rate of change is zero | |
| Rewrite as a negative power first |
Exam Tip
Differentiate each term of a sum completely separately — a term like differentiates to the constant , and the standalone number disappears entirely, since a constant's rate of change is always zero.
03 — Explanation
How do I find a turning point?
Set and solve for — a curve is momentarily flat (neither rising nor falling) exactly at a turning point.
Exam Tip
To find the matching -coordinate, substitute back into the original equation — never into , which is always zero at these points and tells you nothing about the height of the curve.
Substituting into : at , ; at , .
04 — Explanation
How do I tell whether a turning point is a maximum or a minimum?
Differentiate a second time to get , then substitute the -value of the turning point into it.
| Curve shape | Type | |
|---|---|---|
| Concave up (, like a valley) | Minimum | |
| Concave down (, like a hill) | Maximum |
At : minimum at . At : maximum at .
05 — Explanation
What if I can't use the second derivative, or it comes out equal to zero?
Test the sign of just to the left and just to the right of the turning point instead. If the gradient goes from positive to negative, the curve rises then falls, giving a maximum; if it goes from negative to positive, the curve falls then rises, giving a minimum.
At for the curve above, testing gives , and testing gives — positive then negative confirms a maximum at , agreeing with the second-derivative test.
Worked Example
A curve has equation . Find the coordinates of its stationary points and determine the nature of each.
- Differentiate: .
- Set equal to zero and simplify: or .
- Substitute into the original equation: at , ; at , .
- Differentiate again: .
- At : minimum at . At : maximum at .
Exam Tip
A positive second derivative describes a curve that bends upward like a valley — that's a minimum — not a maximum. It's easy to reverse this rule under exam pressure, so it's worth double-checking against the sketch of the curve if time allows, or by using the sign-test method above as a cross-check.