Modelling with functionsAQA A-Level Maths: Revision notes
Section 1
The modelling cycle
A mathematical model uses a function to describe a real situation. The process is a cycle:
- State the assumptions that simplify the situation (for example, no air resistance).
- Choose a function and fit it to the information given.
- Use the function to make predictions.
- Compare the predictions with real data or common sense.
- Refine the model if it does not fit well enough, then repeat. No model is exactly right: each one is valid only within certain limits.
If a question asks about a prediction, answer in context: give units and say what the number means for the situation.
Section 2
Choosing a type of function
The shape of the data suggests the function:
- Linear, : constant rate of change, such as a fixed fee plus a cost per unit.
- Quadratic, : one maximum or minimum, such as the height of a projectile.
- Exponential, : growth () or decay () at a rate proportional to the current size.
- Reciprocal, : inverse proportion, with an asymptote.
- Trigonometric, : repeating patterns such as tides, with a regular period. Use the context (starting value, long-term behaviour, turning points) to pick between them.
Choosing a function only because the first few points fit. Check what it predicts for large and small values.
Section 3
Interpreting parameters in context
Each constant in a model has a meaning. Explain it in words, with units.
- : is the fixed cost (the value when ) and is the cost per mile, the gradient.
- : is the starting height; the maximum is found where , at , giving m.
- : is the initial number and is the growth factor (a increase per hour).
- : is the long-term value; is how far above it the temperature starts; is the fraction left each minute.
The value at and the value as are the two most useful interpretations to state.
Section 4
Domain, range and sensible values
A model only works for sensible inputs and outputs. The domain is the set of inputs for which the model is valid, and the range is the set of outputs it gives.
- The ball model is valid only from until the ball lands, when : gives s.
- A cost model needs .
- Counts of people or bacteria should be whole numbers, so the function is an approximation. A model that gives a negative height, a negative cost or a negative population is outside its valid domain.
Using the model beyond the point where it stops making sense, such as predicting a negative height after landing.
Section 5
Limitations and refinements
A limitation is a way in which the model fails to match reality. A refinement changes the model to deal with it.
- Ball: ignores air resistance. A refinement is to add a resistance term, or use different values for the constants.
- Bacteria: grows without limit. A refinement is a function that levels off at a maximum, because of limited food and space.
- Coffee: assumes a room temperature of . If the room is at , use , which still gives at but a lower temperature later: after minutes, compared with . A good answer names the limitation and gives a specific change.
Name the limitation, then suggest a specific change to the function or its constants.
Section 6
Using a model to compare options
Models can be compared by equating them. Van 1 costs and van 2 costs . Equating gives miles. For the second van is cheaper (at miles, £ against £) and for the first is cheaper. To solve an exponential equation, take logarithms: for , and minutes. Always conclude in the language of the context, not just with a number.
State the conclusion as a sentence: which option is better and by how much.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on Modelling with functions
- The height, metres, of a ball above the ground seconds after it is thrown upwards is modelled by for .Find the maximum height of the ball predicted by the model.2 marks
- The number of bacteria, , in a dish hours after the start of an experiment is modelled by .Explain why the model is unlikely to be valid for large values of .2 marks
- A company models the monthly cost, pounds, of running a delivery van that travels miles in a month by .Interpret the numbers and in the context of the model, and state one limitation of the model.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).