HL AI · Number and Algebra

Exponential models for real-world decay (IB Math AI HL)

Updated October 2026

Quick answer: An exponential decay model is y = a e−kt (or y = a bᵗ with 0 < b < 1). Taking natural logs gives ln y = ln a − kt, a straight line in t. So to fit the model to data, find the regression line of ln y on t: its gradient is −k and its intercept is ln a. The half-life is ln 2 ÷ k.

Radioactive half-life, drug metabolism, cooling curves. HL AI expects you to fit a decay model to data using logs on both sides.

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Worked example

A cup of tea cools in a room at 20°C. The excess temperature y = T − 20 (°C) is recorded: t = 0, 10, 20, 30 minutes gives y = 60, 36.4, 22.1, 13.4. Fit a model y = a e−kt using ln y, find the time for the excess temperature to halve, and estimate T after 40 minutes.

  1. ln y = 4.094, 3.595, 3.096, 2.595 at t = 0, 10, 20, 30.
  2. Regression of ln y on t: gradient ≈ −0.0500 and intercept ≈ 4.094.
  3. So k ≈ 0.0500 and a = e4.094 ≈ 60.0: y = 60.0 e−0.0500t.
  4. Half-life: ln 2 ÷ 0.0500 ≈ 13.9 minutes.
  5. At t = 40: y ≈ 60.0 e−2.00 ≈ 8.13, so T ≈ 20 + 8.13 ≈ 28.1°C.

Answer: y = 60.0 e−0.0500t; the excess temperature halves every 13.9 minutes; T ≈ 28.1°C after 40 minutes.

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The table shows the number of bacteria (in thousands) after x hours. Change a and b so that y = a·bˣ fits the data (the check wants R² of at least 0.99). What do a and b mean in this context?

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5 quick questions on depreciation. No sign-in needed.

A car worth \(\$30000\) loses \(10\%\) of its value each year. Find its value after \(5\) years.
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Maths IA ideas that use exponential models for real-world decay

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FAQ

How do you fit an exponential model to data?

Take the natural log of each y-value and find the linear regression line of ln y against t. The gradient is −k and the intercept is ln a, so the model is y = e^(intercept) × e^(gradient × t). The GDC's exponential regression does the same in one step.

Can I use my calculator for exponential models for real-world decay?

Yes: a GDC is allowed on every HL AI paper, so practise the calculator method as well as the working. The Regression guide gives the keystrokes for the TI-84 Plus CE, TI-Nspire CX II and Casio fx-CG50.

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