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A Level Maths: Exponentials and Logarithms Topic Summary and Resources

Year 1 · Pure

Exam Questions

Past-paper-style questions organised by topic, with full mark schemes.

Drawn from OCR and Edexcel past papers but designed to be useful for students of all UK exam boards — including AQA and OCR MEI — unless a sheet is explicitly board-specific.

Before You Start This Topic

It will help if you are confident with the following:

A Level Maths exponentials and logarithms is a high-value topic introducing the function $y = a^x$ and its inverse, the logarithm. These tools model an enormous range of real-world situations — population growth, radioactive decay, compound interest, drug concentration — and the algebra of logs lets you solve equations that would otherwise be impossible.

You learn the laws of logarithms: $\log(xy) = \log(x) + \log(y)$, $\log(x/y) = \log(x) – \log(y)$, and $\log(x^k) = k\log(x)$. These let you rearrange and solve equations of the form $a^x = b$ by taking logs of both sides. You meet the special number $e$ and its natural logarithm $\ln(x)$, and learn that the gradient of $e^{kx}$ is $ke^{kx}$ — why the exponential model is so natural for situations where rate of change is proportional to size. You handle modelling problems involving exponential growth and decay, find the constants from given data, and use logarithmic graphs (plotting $\log y$ against $\log x$ or against $x$) to estimate parameters in power and exponential relationships.

Exponentials and logarithms are part of the Pure Maths strand of A Level Maths for AQA, Edexcel, OCR, and OCR MEI students.

Watch out for…

A few things to be careful with: $\log(x + y)$ is NOT $\log(x) + \log(y)$ — the addition law applies to $\log(xy)$, not $\log(x + y)$; the domain of $\log(x)$ is $x > 0$, so check for and discard any solutions that make the argument of a log zero or negative; $\ln(e^x) = x$ and $e^{\ln x} = x$ — these inverse relationships are heavily tested; and when modelling with exponentials, interpret 'initial' as $t = 0$ and check whether your model predicts physically reasonable behaviour as $t$ becomes large.