Exponential and sinusoidal models; the modelling process

Maths: Applications and Interpretation · Functions. The idea in plain words, the rules to remember, the mistake to avoid and a worked example, written and checked by Mega Lecture.

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The idea

A model is a function chosen to describe real data. An exponential model fits a quantity that is multiplied by the same factor in each equal step of time, such as a population or a cooling drink. Its graph flattens towards a horizontal asymptote. In a decay model this is the long-term value.

A sinusoidal model fits a quantity that repeats in a regular wave, such as tides or the height of a seat on a wheel. You describe it by its amplitude, its period and its principal axis.

To build a model, choose the type from the shape of the data, find the parameters, then test it. A model is only trusted inside the range of the data. Using it far outside that range is extrapolation and is risky.

Rules to remember

Common mistake

Students give the starting value as the long-term value. In a decay model y = k × ax + c (0 < a < 1) the long-term value is c, the number added on, not k or k + c.

Worked example

The temperature in a greenhouse is modelled by T = 6 sin(15t) + 18 °C, where t is in hours and the angle is in degrees. Find the period and the maximum temperature.

  1. Compare with a sin(bt) + d: a = 6, b = 15, d = 18.
  2. Period = 360 ÷ b = 360 ÷ 15 = 24 hours.
  3. Maximum = d + a = 18 + 6 = 24 °C (the minimum is 18 − 6 = 12 °C).

Answer: Period 24 hours; maximum temperature 24 °C.

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