2.9 Further modelling functionsIB Maths: Applications and Interpretation HL: Revision notes
Section 1
Exponential models and half-life
Exponential models such as or extend to decay with a half-life: the time for a quantity to halve. If the half-life is and the initial amount is : Example: has half-life 6 hours; after 18 hours, mg. To find the time for a given mass, solve by GDC or algebra: , so . The half-life is constant whatever the starting amount.
Halving only once. After half-lives the amount is of the original, not .
Section 2
Natural logarithmic models
A logarithmic model is , with . Because , the constant is the value at . For the function increases without bound, but ever more slowly, and the -axis () is a vertical asymptote. To find and , substitute two known points. Example: with at and at gives and , so . Then when , (GDC).
Use to find first, then use the second point to find .
Section 3
Sinusoidal models
A sinusoidal model is . Radians are assumed unless a degree sign is shown, for example .
- Amplitude:
- Period: (radians)
- Phase shift: , a horizontal translation to the right by
- Principal axis: , so maximum and minimum Example: has amplitude 2.5, period 12, phase shift 1 and range . To find when in one cycle, solve with the GDC in radian mode: and .
Using degree mode on a radian model. Check the GDC angle setting before every trigonometric calculation.
Section 4
Logistic models
A logistic model is with . It describes growth with a limit, such as a population on an island, bacteria in a dish or the height of a seedling.
- is the horizontal asymptote, the carrying capacity.
- is the starting value.
- The graph is S-shaped: growth is slow at first, fastest in the middle, then slows towards . Example: has and carrying capacity 480. when , so .
Explain the carrying capacity in context: the value approaches but never exceeds it, because resources are limited.
Section 5
Piecewise models and continuity
A piecewise model uses different rules on different intervals. To avoid a jump, make both rules give the same value at the join. Example: for and for . The first rule gives at , so and . Always check which piece applies before you substitute or solve: a value of found from the wrong piece must be rejected.
Solving with the wrong piece. After solving, check that your answer lies inside the interval for that rule.
Section 6
Choosing and interpreting models
Match the model to the context: sinusoidal for repeating cycles (tides, temperature, daylight), logistic for limited growth, logarithmic for growth that keeps slowing, exponential for constant percentage change and half-life. In the exam you may also be given an unfamiliar model; treat it like the others by substituting values, using your GDC to solve, and interpreting each parameter in context. State units, give answers to 3 significant figures, and comment on limits such as extrapolation beyond the data.
Say what each parameter means in context, for example ' is the initial height'.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on 2.9 Further modelling functions
- A radioactive isotope decays so that its mass mg after hours is modelled by , for .Find the time at which the mass of the isotope is 5 mg.2 marks
- The height metres of a tree years after planting () is modelled by , where and are constants. When , , and when , .Use your GDC to find the age at which the tree is 7 m high.2 marks
- The depth metres of water at a harbour entrance, hours after midnight, is modelled by , for , where the angle is in radians.Write down (i) the minimum depth, (ii) the period of the model, (iii) the phase shift.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).