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Year 12 Methods (Unit 3 & 4) Exponential and logarithmic functions

Applications of exponential functions

20 practice questions 0 video lessons Theory + worked examples

In Year 12 Mathematical Methods (Queensland, QCAA), exponential functions model real-world change — population and bacterial growth, radioactive decay and half-life, compound interest, depreciation and Newton's law of cooling. Each uses \(N=N_0\,a^{t}\) or \(N=N_0\,e^{kt}\), where \(N_0\) is the initial amount and the base or the sign of \(k\) sets growth or decay. You read off values, interpret the parameters, and solve for a rate or a time using logarithms.

An exponential model describes a quantity that is multiplied by a fixed factor over each equal step of time. It is written \(N=N_0\,a^{t}\) (a per-period factor \(a\)) or \(N=N_0\,e^{kt}\) (a continuous rate \(k\)). Here \(N_0\) is the initial amount — the value when \(t=0\), because \(a^{0}=1\) and \(e^{0}=1\).

The model shows growth when the base \(a>1\) (or \(k>0\)) and decay when \(0growth factor of \(1.05\) means the quantity increases by \(5\%\) each period; a decay factor of \(0.88\) means it keeps \(88\%\) and loses \(12\%\) each period. Compound interest, depreciation, population growth and radioactive decay are all this one idea with different factors.

Two special times describe the pace of change: the doubling time (for growth) and the half-life (for decay). For an exponential model these are constant — they do not depend on the starting amount. Many decay models level off at a non-zero value: Newton's law of cooling approaches the surrounding room temperature, a positive horizontal asymptote.

Key idea. \(N=N_0\,a^{t}\) or \(N=N_0\,e^{kt}\): \(N_0\) is the initial amount; \(a>1\) or \(k>0\) is growth, \(0
Exponential growth modelAn increasing exponential curve starting from the initial amount N0 on the vertical axis and rising steeply, modelling growth such as a population over time t. t N N₀ growth
Growth: \(N=N_0\,a^{t}\) (\(a>1\)), rising from \(N_0\)
Exponential decay toward a room temperatureA decreasing exponential curve starting high and levelling off at a positive dashed horizontal asymptote, modelling Newton's law of cooling toward the room temperature. t T room temp
Decay / cooling: levels off at a positive asymptote

Per-period model (factor \(a\)) and continuous model (rate \(k\)):

\[N=N_0\,a^{t} \qquad N=N_0\,e^{kt} \qquad (N_0=\text{initial amount})\]
N=N0at

Compound interest (rate \(r\) per period) and depreciation:

\[A=P\,(1+r)^{t} \qquad V=P\,(1-r)^{t}\]
A=P(1+r)t

Newton's law of cooling toward a room temperature \(T_{\text{room}}\):

\[T=T_{\text{room}}+(T_0-T_{\text{room}})\,e^{-kt}\]
T=Troom+(T0-Troom)e-kt
Solving for time. Isolate the power, then take a logarithm: from \((1.05)^{t}=2\), \(t=\dfrac{\log 2}{\log 1.05}\approx 14.2\). Any base of log works, as long as it is the same on both sides.

How to set up and solve an exponential model

  1. Identify \(N_0\) and the factor. The initial amount is the value at \(t=0\). A growth of \(r\) gives factor \(1+r\); a loss of \(r\) gives \(1-r\); "doubles" gives base \(2\), "halves" gives base \(\tfrac12\).
  2. Find an unknown rate from data. Substitute a second reading and solve for \(a\), \(b\) or \(k\) — take a root for a per-period factor, or a logarithm for a continuous \(k\).
  3. Evaluate a value. Substitute the time \(t\) and compute with technology.
  4. Solve for a time. Set the model equal to the target, divide by \(N_0\) to isolate the power, then take a logarithm of both sides to bring \(t\) down.
Half-life and doubling time. Set the model to \(\tfrac12 N_0\) (or \(2N_0\)) and solve for \(t\). For \(N=N_0 e^{kt}\) the doubling time is \(\dfrac{\ln 2}{k}\); it is the same whatever the starting amount.
Example 1 — Evaluate a growth model
A colony of bacteria triples each hour: \(N=500\times 3^{\,t}\) after \(t\) hours. Find the number present at the start and after \(2\) hours.
Solution
\(N(0)\)\(=\)\(500\times 3^{0}=500\)
\(N(2)\)\(=\)\(500\times 3^{2}\)
\(=\)\(500\times 9=4500\)

Start: \(500\); after \(2\) hours: \(\mathbf{4500}\). Base \(3>1\), so this is growth.

500×32=4500
Example 2 — Depreciation (decay factor)
A van bought for \(\$30000\) loses \(12\%\) of its value each year. Write the model for its value \(V\) after \(t\) years, and find \(V\) after \(3\) years.
Solution
\(\text{factor}\)\(=\)\(1-0.12=0.88\)
\(V\)\(=\)\(30000\,(0.88)^{t}\)
\(V(3)\)\(=\)\(30000\,(0.88)^{3}\)
\(\approx\)\(\$20444\)

Losing \(12\%\) keeps \(88\%\), so the factor is \(0.88\) (decay).

30000(0.88)3
Example 3 — Solve for the time with logs
A \(\$2000\) deposit grows as \(A=2000\times(1.05)^{t}\). After how many years does it first exceed \(\$4000\)?
Solution
\(2000\,(1.05)^{t}\)\(>\)\(4000\)
\((1.05)^{t}\)\(>\)\(2\)
\(t\)\(>\)\(\dfrac{\log 2}{\log 1.05}\approx 14.2\)

So it first exceeds \(\$4000\) after \(\mathbf{15}\) whole years.

t=log2log1.05
Example 4 — Newton's law of cooling
Coffee cools as \(T=20+70\,e^{-0.05t}\) degrees Celsius after \(t\) minutes. Find the initial temperature, the temperature after \(10\) minutes, and the temperature it approaches.
Solution
\(T(0)\)\(=\)\(20+70\,e^{0}=90\)
\(T(10)\)\(=\)\(20+70\,e^{-0.5}\)
\(\approx\)\(62.46\)

As \(t\to\infty\), \(e^{-0.05t}\to 0\), so \(T\to 20\): initial \(90^\circ\)C, after \(10\) min \(\approx 62.46^\circ\)C, approaching the room temperature \(\mathbf{20^\circ}\)C.

Cooling curve T=20+70e^(-0.05t)A decreasing exponential temperature curve starting at 90 degrees and levelling off at the dashed asymptote at 20 degrees. t T T=20 90
20+70e-0.562.46

Common pitfalls

The growth factor is not the percentage. A factor of \(1.03\) is a \(3\%\) increase (it is \(1+0.03\)), not \(103\%\) or \(1.03\%\). A decay factor of \(0.85\) is a \(15\%\) decrease.
You must take a logarithm to solve for time. Once the power is isolated, an unknown in the exponent comes down only with a logarithm — you cannot just divide. From \((1.05)^{t}=2\), \(t=\log 2/\log 1.05\), not \(2/1.05\).
Cooling levels off at the room temperature, not zero. In \(T=T_{\text{room}}+(T_0-T_{\text{room}})e^{-kt}\) the horizontal asymptote is \(T_{\text{room}}\). Radioactive decay \(M=M_0e^{-kt}\) does approach \(0\); cooling does not.

Frequently asked questions

What is an exponential model?

\(N=N_0\,a^{t}\) or \(N=N_0\,e^{kt}\): \(N_0\) is the initial amount and the quantity is multiplied by a fixed factor over each equal time step.

How do you tell growth from decay?

Growth when \(a>1\) or \(k>0\); decay when \(0

How do you find the time for a model to reach a value?

Isolate the power (divide by \(N_0\)) then take a logarithm of both sides, e.g. \((1.05)^{t}=2\) gives \(t=\log 2/\log 1.05\approx 14.2\).

What is half-life and doubling time?

The time to halve (decay) or double (growth). For an exponential model it is constant, so after two half-lives a quarter remains.

How do compound interest and depreciation use exponentials?

Interest grows as \(A=P(1+r)^{t}\) (factor \(1+r\)); depreciation decays as \(V=P(1-r)^{t}\) (factor \(1-r\)).

What is Newton's law of cooling?

\(T=T_{\text{room}}+(T_0-T_{\text{room}})e^{-kt}\): the temperature falls exponentially and levels off at the room temperature, a positive asymptote.

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