5.7 OptimisationIB Maths: Applications and Interpretation SL: Revision notes
Section 1
The optimisation process
Optimisation means finding the maximum or minimum value of a quantity in a real situation. The method is the same each time:
- Choose a variable and write the quantity to be optimised as a function of one variable, using any given constraint to eliminate others.
- State the domain from the context (lengths and amounts cannot be negative).
- Find where the derivative is zero, by hand or by using your GDC to graph the function or its gradient.
- Check whether the stationary point is a maximum or minimum (sign of the gradient either side, or the GDC graph) and compare with the ends of the domain.
- Answer in context, with units.
At SL, optimisation questions are not set on kinematics (velocity and acceleration).
Section 2
Maximising profit and minimising cost
Profit is revenue minus cost, . If a profit model is with items sold, then gives . The gradient changes from positive to negative, so this is a maximum, and . For cost, such as , gives and , a minimum because the gradient changes from negative to positive. Always give money to 2 decimal places or as a sensible whole amount, with the currency (USD, AED).
Stopping at the value of . The question usually asks for the maximum profit or minimum cost itself, so substitute back into the model.
Section 3
Maximising an area with a fixed perimeter
A rectangle has a perimeter of 60 m and width . The length is , so . gives and m². The best rectangle is a square. The domain is , because both sides must be positive.
Section 4
Maximising volume for a given surface area
A closed cylinder with surface area 600 cm² has , so . Then and gives cm. Test the gradient either side: and , so it is a maximum, with cm³ and cm. For an open box made from a 30 cm square card by cutting squares of side from the corners, , which is greatest at , giving 2000 cm³.
Write the formula for the quantity that is fixed first, rearrange it for one variable, then substitute into the quantity you are optimising.
Section 5
Using the GDC
Graph the model on your GDC with a window that matches the domain. Use the maximum or minimum function to read the turning point, or graph and find where it crosses the -axis. Either approach gives the stationary value of ; then evaluate the function to find the optimum value. Examination questions often say “use your GDC”, so write down the equation or the graph you used, and give answers exact or to 3 significant figures.
Section 6
Checking and interpreting the answer
A stationary point is not automatically the answer. Reject solutions outside the domain: for on , is rejected. Compare with the ends of the domain: if a factory must produce between 15 and 30 tonnes and is increasing from , the least cost is at , not at the stationary point. Finally interpret: say what the value means, such as “the garden has a maximum area of 225 m² when it is a 15 m square”.
Giving a stationary value that lies outside the allowed range, or forgetting that the least or greatest value may be at an end of the domain.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on 5.7 Optimisation
- A rectangular garden has a perimeter of 60 m. Its width is metres.Find the maximum area of the garden.2 marks
- A factory produces tonnes of steel each day. The daily cost, thousand USD, is modelled by .The factory has a contract that requires it to produce between 15 and 30 tonnes per day. Find the minimum daily cost under this contract, in USD.2 marks
- A square sheet of card has side 30 cm. A square of side cm is cut from each corner and the sides are folded up to make an open box with no lid, where . The volume of the box is cm³.Show that .3 marks
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).