Exponential Graphs in Context [H]

Exponential Graphs in Context

Many real-world processes involve quantities that grow or decay by a constant multiplicative factor per unit time — rather than by a constant additive amount. These processes produce exponential graphs. Identifying exponential behaviour from a graph or table, and using the model to make predictions, are key skills.

The Exponential Model

An exponential function in context takes the form:

\[ Q = Q_0 \times k^t \]

where \( Q_0 \) is the initial value (when \( t = 0 \)), \( k \) is the growth/decay factor per unit time, and \( t \) is time. The graph always passes through \( (0, Q_0) \) and has the x-axis as a horizontal asymptote.

ScenarioGrowth or decay?\(k\) valueExample
Population growthGrowth\( k > 1 \)\( k = 1.03 \) (+3% per year)
Compound interestGrowth\( k > 1 \)\( k = 1.05 \) (5% p.a.)
Radioactive decayDecay\( 0 < k < 1 \)\( k = 0.5 \) (half-life)
Drug concentrationDecay\( 0 < k < 1 \)\( k = 0.8 \) per hour

Recognising Exponential Growth from a Table

If successive ratios \( Q_{t+1}/Q_t \) are constant, the relationship is exponential. For example:

\(t\)0123
\(Q\)2004008001600

Each value doubles: \( k = 2 \). Model: \( Q = 200 \times 2^t \).

Worked Examples

A bacterial culture starts with 500 cells and doubles every hour. Write an exponential model and find the count after 6 hours.
\[ N = 500 \times 2^t \]

After 6 hours: \( N = 500 \times 2^6 = 500 \times 64 = 32{,}000 \) cells.

£3{,}000 is invested at 4% compound interest per annum. Find the value after 5 years.
\[ V = 3000 \times 1.04^5 = 3000 \times 1.2167 \approx £3{,}650 \]
The model \( P = 800 \times 1.06^t \) gives a town's population. Find the population after 10 years and the initial population.

Initial (\(t=0\)): \( P = 800 \times 1 = 800 \).

After 10 years: \( P = 800 \times 1.06^{10} = 800 \times 1.7908 \approx 1{,}433 \).

A radioactive substance has a half-life of 3 hours. Starting with 640 g, write an exponential model and find the mass after 12 hours.

Every 3 hours the mass halves. Let \(t\) be in units of 3-hour periods (half-lives).

\[ M = 640 \times \left(\frac{1}{2}\right)^t \]

12 hours = 4 half-lives: \( M = 640 \times (0.5)^4 = 640 \times 0.0625 = 40 \) g.

Alternatively, using hours directly: \( M = 640 \times 0.5^{t/3} \). At \(t=12\): same result.

 Key Takeaways

  • Exponential model: \( Q = Q_0 \times k^t \). The initial value \( Q_0 \) is always the y-intercept (value at \(t=0\)).
  • \( k > 1 \): growth. \( 0 < k < 1 \): decay. The closer \(k\) is to 1, the slower the change.
  • To identify an exponential relationship from a table: check that successive values have a constant ratio.
  • Half-life problems: if the half-life is \(h\), write \( Q = Q_0 \times (0.5)^{t/h} \) (with \(t\) in the same units as \(h\)).
  • Percentage increase of \(r\%\) per period gives \(k = 1 + r/100\); percentage decrease gives \(k = 1 - r/100\).