Pure · Differentiation
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Stationary points (maxima and minima)
Where a curve is momentarily flat — found by setting dy/dx = 0 — and how the second derivative tells a maximum from a minimum, plus reading off where a curve is increasing or decreasing.
Pure · Differentiation
Stationary points (maxima and minima)
Where a curve is momentarily flat — found by setting dy/dx = 0 — and how the second derivative tells a maximum from a minimum, plus reading off where a curve is increasing or decreasing.
Why it works
A stationary point is a spot where the curve is, for an instant, perfectly flat — its gradient is zero. Since the gradient is , finding stationary points is a single step: set and solve. (Not — that finds where the curve crosses the -axis, a completely different thing.)That usually gives more than one answer — a cubic's gradient is a quadratic, so expect up to two stationary points — and each needs its put back in (using the original equation) to give full coordinates.
Then: peak or trough? Look at how the gradient is changing as you pass through the point — and the rate of change of the gradient is the second derivative, (just differentiate again).
- At a maximum, the gradient runs positive → → negative: it is
- At a minimum, the gradient runs negative → → positive: it is
A memory hook: a minimum holds water (concave up, ); a maximum spills it (concave down, ). If the second derivative comes out as exactly the test is inconclusive — fall back to checking the gradient's sign just before and just after the point.
The same derivative reads off where a curve is increasing or decreasing without finding the turning points at all: means rising, means falling. Solve that inequality and you have the intervals.Above, has a maximum at and a minimum at — at both, the tangent would be horizontal ().