E2.12 Differentiation
- Syllabus
- 0580–2028–2029
- Topic
- E2.12
- Level
- Extended
The gradient of a curve at one point is the gradient of its tangent there. A tangent follows the curve’s local direction but is treated as a straight line for the gradient calculation.
Mark the required point; place a ruler so the line just touches and matches the curve’s local direction; draw a long tangent; choose two well-separated, readable points on the tangent; calculate vertical change divided by horizontal change; include appropriate units.
gradient=x2−x1y2−y1
The calculation points need not lie on the original curve. A longer triangle reduces the effect of reading error; retain the sign of the rise and run.
A rising tangent has positive gradient, a falling tangent negative gradient, and a horizontal tangent gradient 0. The estimate depends on the accuracy of both tangent and coordinate readings.
A chord through two curve points estimates an average gradient over an interval, not the instantaneous gradient at the named point.
The derivative dxdy gives the gradient function. For each allowed power term, multiply by the old power and reduce that power by one.
dxd(axn)=anxn−1
| Original term | Derivative |
|---|---|
| axn | anxn−1 |
| bx | b |
| constant c | 0 |
y=5+8x−34x3⟹dxdy=8−4x2
Here a is rational, n is a non-negative integer, and the syllabus uses simple sums of no more than three such terms. Write the derivative in dy/dx notation when required.
If dxd(3xq)=15x4, compare coefficient and power: q−1=4 and 3q=15, so q=5.
Do not leave a constant in the derivative or reduce the coefficient instead of the power. The rule applies term by term to the stated polynomial scope.
Once a derivative is known, substituting an x-value gives a gradient. A stationary point occurs where that gradient is zero.
| Required result | Derivative move |
|---|---|
| gradient at x=a | calculate dy/dx at a |
| points with gradient m | solve dy/dx=m, then find each y |
| stationary points | solve dy/dx=0, then substitute each x into the original function |
| tangent equation | use derivative gradient and point in y−y1=m(x−x1) |
y=x3−3x+4,dxdy=3x2−3=0⟹x=±1
Substitute into the original function, not the derivative: y(1)=2 and y(−1)=6, so the stationary points are (1,2) and (−1,6).
If the curve passes through (2,6) and the derivative gives gradient 7, then y−6=7(x−2), so the tangent is y=7x−8.
Solving dy/dx=0 gives only the x-coordinates. A complete stationary point requires the corresponding y from the original function.
A stationary point is classified by how the function behaves around it. Cambridge accepts an accurate sketch, the gradient signs on either side, or the second derivative.
| Evidence | Maximum | Minimum |
|---|---|---|
| gradient before and after | +o− | −o+ |
| second derivative at the point | d2y/dx2<0 | d2y/dx2>0 |
| accurate sketch | curve turns from rising to falling | curve turns from falling to rising |
dxdy=3x2−3,dx2d2y=6x
At x=1, d2y/dx2=6>0, so (1,2) is a minimum. At x=−1, d2y/dx2=−6<0, so (−1,6) is a maximum.
State both the classification and the evidence. Merely writing ‘maximum’ or ‘minimum’ does not show how the decision follows from the derivative or sketch.
Points of inflection are not required. If the second derivative is zero, this test alone is inconclusive; use an allowed alternative rather than assigning a maximum or minimum automatically.