Year 1 Pure · Chapter 11
Exponential Models
Specification: Edexcel Pure 6 — Exponentials and logarithms · AQA section F
In this chapter
Key facts — this chapter
- is the special base where has gradient equal to its own height at every point.
- means — the inverse of , so and .
- Growth/decay model: starts at (when ); grows, decays.
- Doubling time is ; half-life is .
- Reduction to linear form: for , taking logs gives — a straight line when is plotted against .
Lots of real things grow or shrink at a rate proportional to their current size — populations, savings, radioactive decay, cooling drinks. They’re all modelled by the exponential function, and the natural base is what makes the maths clean.
1. The number e and y = eˣ
Among all the curves , exactly one has the elegant property that its gradient equals its height everywhere. That base is .
Key result
For , the gradient at any point equals the -value there:
This is exactly why shows up whenever a quantity changes at a rate proportional to its current amount.
2. The natural logarithm
The inverse of is the natural logarithm (that is, ). It obeys every log law from Chapter 10 — it just has base .
Key result
So to undo , take ; to undo , raise to the power. This is the key to solving any equation with or in it.
Worked example 11.1 · Solving with e and ln
Solve , giving your answer to 3 significant figures.
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Take of both sides — it cancels the :
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So
3. Exponential growth and decay
The workhorse model is . Reading off its constants in context is a core exam skill.
Key result
In :
- is the initial value (at , since );
- is the growth rate — grows, decays;
- the doubling time (growth) is , and the half-life (decay) is .
Build a model y = A e^(kt). A sets where it starts; k sets how fast it changes — positive grows, negative decays. The doubling time / half-life updates too.
t runs 0 to 10 · the vertical axis rescales to fit the curve
Worked example 11.2 · A population model
A population is modelled by , where is in years. (a) Find the population after years. (b) Find, to the nearest year, when the population reaches .
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(a) Substitute :
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(b) Set and solve for :
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Take :
So the population reaches after about years.
Worked example 11.3 · Half-life of a decay
A radioactive sample has mass grams, with in days. Find its half-life.
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The half-life is when the mass halves, from to :
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Take :
Common mistake
The starting amount is the value at , not the coefficient of . In the population starts at (because ), and grows at rate — don’t read as a population.
4. Reduction to linear form
Raw exponential data looks like a curve, which is hard to fit by eye. Taking logs straightens it into a line — and a line you can find the equation of.
Key result
For a model , take logs of both sides:
Plotting (vertical) against (horizontal) gives a straight line with gradient and vertical intercept .
Why it works
The relationship is curved, but applying turns the product into a sum and brings the power down: . That has the form with , so the transformed data is linear — and a ruler can fit a line where it couldn’t fit a curve.
Worked example 11.4 · Finding the model from a straight line
Data fits a model . When is plotted against , the line has gradient and vertical intercept . Find and .
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Compare with :
- intercept:
- gradient:
So the model is approximately .
Common mistake
The gradient and intercept give and , not and themselves. You must raise the base to those values (, ) to recover the constants.
Practice
Twelve questions in three tiers. Try each one properly before opening the solution — the solutions show full method, not just answers. Give non-exact answers to 3 s.f.
Warm-up
Solve, giving exact answers:
Show solution
(a) Take : .
(b) Raise to both sides: .
Solve , giving your answer to 3 significant figures.
Show solution
The value of a car is modelled by pounds, years after purchase. State (a) the purchase value, (b) whether the model is growth or decay.
Show solution
(a) At : .
(b) , so the value decays.
Simplify (a) , (b) .
Show solution
(a) and are inverses: .
(b) Likewise .
Standard
A population of bacteria is modelled by , where is in hours.
- Find when . [2]
- Find, to 3 s.f., the time taken for the population to reach . [2]
Show solution
(a) (3 s.f.).
(b) , so
A cup of coffee cools according to , where is in C and in minutes.
- State the initial temperature. [1]
- Find the temperature after minutes. [1]
- Find, to the nearest minute, when the coffee reaches C. [2]
Show solution
(a) At : C.
(b) C (3 s.f.).
(c) , so
A radioactive isotope decays as ( in years). Find its half-life, to 3 significant figures.
Show solution
Half-life is when :
Data fits the model . When is plotted against , a straight line of gradient and vertical intercept is obtained. Find and .
Show solution
Comparing with :
- ;
- (3 s.f.).
Exam style
The mass of a culture is grams, hours after the start.
- Find the doubling time, to 3 s.f. [3]
- Explain why the doubling time does not depend on the starting mass. [2]
Show solution
(a) Doubling means :
(b) Setting gives whatever is — the cancels. So the doubling time depends only on the rate , not the start.
The temperature of a liquid is modelled by , where is in minutes. After minutes the temperature is C.
- Find the value of , to 3 s.f. [4]
- Find the temperature after minutes. [2]
Show solution
(a) At , :
Take : , so
(b) C (3 s.f.).
The table shows values fitting :
- Explain how the table shows . [2]
- Find . [3]
Show solution
(a) Each time increases by , multiplies by (). For , a unit increase in multiplies by , so .
(b) Use any data point, say , , with :
So .
A quantity is modelled by . It is known that when .
- Find , to 3 s.f. [3]
- Find when , to 3 s.f. [2]
- Find, to 3 s.f., the value of for which . [1]
Show solution
(a) , so
(b) (3 s.f.).
(c) , so (3 s.f.).