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Stationary points and increasing and decreasing functionsAQA A-Level Maths: Revision notes

Section 1

Increasing and decreasing functions

A function is increasing where its gradient is positive, dydx>0\frac{dy}{dx}>0, and decreasing where dydx<0\frac{dy}{dx}<0. To find the intervals, differentiate and solve the inequality. For y=x3−6x2+9x+2y=x^3-6x^2+9x+2, dydx=3(x−1)(x−3)\frac{dy}{dx}=3(x-1)(x-3). This is positive for x<1x<1 or x>3x>3 (increasing) and negative for 1<x<31<x<3 (decreasing). Because the quadratic is positive outside its roots, you can read the intervals from a quick sketch of dydx\frac{dy}{dx}.

Key termsincreasing functiondecreasing function
Common mistake

Giving the answer to a decreasing question as x<1x<1 and x>3x>3, which is where the function is increasing.

Section 2

Stationary points

A stationary point is a point on a curve where the gradient is zero, dydx=0\frac{dy}{dx}=0. To find them: differentiate, solve dydx=0\frac{dy}{dx}=0 for xx, then substitute each xx into the equation of the curve to get yy. For y=x+16xy=x+\frac{16}{x} (x>0x>0), dydx=1−16x2=0\frac{dy}{dx}=1-\frac{16}{x^2}=0 gives x=4x=4 and y=8y=8. A stationary point may be a local maximum, a local minimum or a stationary point of inflection.

Key termsstationary pointlocal maximumlocal minimum
Common mistake

Substituting the xx-value into dydx\frac{dy}{dx} to find yy. Use the original equation.

Section 3

The second derivative

The second derivative d2ydx2\frac{d^2y}{dx^2} is the rate of change of the gradient. Where d2ydx2>0\frac{d^2y}{dx^2}>0 the gradient is increasing; where it is negative the gradient is decreasing. At a stationary point:

  • d2ydx2>0\frac{d^2y}{dx^2}>0: minimum
  • d2ydx2<0\frac{d^2y}{dx^2}<0: maximum
  • d2ydx2=0\frac{d^2y}{dx^2}=0: inconclusive; the point could be a maximum, minimum or point of inflection. For y=x3−6x2+9x+2y=x^3-6x^2+9x+2, d2ydx2=6x−12\frac{d^2y}{dx^2}=6x-12. At x=1x=1 it is −6<0-6<0 (maximum, y=6y=6) and at x=3x=3 it is 6>06>0 (minimum, y=2y=2).
Key termssecond derivativerate of change of gradient
Common mistake

Mixing up the sign test: a positive d2ydx2\frac{d^2y}{dx^2} means a minimum, not a maximum.

Section 4

When the second derivative is zero

If d2ydx2=0\frac{d^2y}{dx^2}=0 at a stationary point, test the sign of dydx\frac{dy}{dx} just either side. Gradient positive then negative: maximum. Negative then positive: minimum. The same sign on both sides: stationary point of inflection. The sign test works for every stationary point, so it is also a valid alternative to the second derivative whenever you are asked to justify the nature.

Key termspoint of inflection

Section 5

Optimisation problems

In context problems, form an expression for the quantity in one variable, differentiate, set the derivative to zero and justify the maximum or minimum. For an open box with square base xx cm and height hh cm made from 300300 cm2^2 of card: x2+4xh=300x^2+4xh=300 gives h=300−x24xh=\frac{300-x^2}{4x}, so V=75x−x34V=75x-\frac{x^3}{4}. Then dVdx=75−3x24=0\frac{dV}{dx}=75-\frac{3x^2}{4}=0 gives x=10x=10, and d2Vdx2=−15<0\frac{d^2V}{dx^2}=-15<0, so V=500V=500 cm3^3 is a maximum. Check that your xx-value is possible (positive here) and give units.

Key termsoptimisation
Exam tip

Always state why your stationary value is a maximum or minimum; the examiner awards a mark for the justification.

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Exam questions on Stationary points and increasing and decreasing functions

  1. The curve CC has equation y=x3−6x2+9x+2y=x^3-6x^2+9x+2.
    Find the set of values of xx for which yy is decreasing.2 marks
  2. The curve CC has equation y=x+16xy=x+\frac{16}{x} for x>0x>0.
    Find the minimum value of yy, justifying that it is a minimum.2 marks
  3. An open-topped box has a square base of side xx cm and height hh cm. It is made from 300300 cm2^2 of card, so the base and four sides use all of the card. The volume of the box is VV cm3^3.
    Show that V=75x−x34V=75x-\frac{x^3}{4}.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).