Applications of exponential functions
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.
Per-period model (factor \(a\)) and continuous model (rate \(k\)):
Compound interest (rate \(r\) per period) and depreciation:
Newton's law of cooling toward a room temperature \(T_{\text{room}}\):
How to set up and solve an exponential model
- 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 \(\tfrac12\).
- 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 \(k\).
- Evaluate a value. Substitute the time \(t\) and compute with technology.
- 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.
| \(N(0)\) | \(=\) | \(500\times 3^{0}=500\) |
| \(N(2)\) | \(=\) | \(500\times 3^{2}\) |
| \(=\) | \(500\times 9=4500\) |
Start: \(500\); after \(2\) hours: \(\mathbf{4500}\). Base \(3>1\), so this is growth.
| \(\text{factor}\) | \(=\) | \(1-0.12=0.88\) |
| \(V\) | \(=\) | \(30000\,(0.88)^{t}\) |
| \(V(3)\) | \(=\) | \(30000\,(0.88)^{3}\) |
| \(\approx\) | \(\$20444\) |
Losing \(12\%\) keeps \(88\%\), so the factor is \(0.88\) (decay).
| \(2000\,(1.05)^{t}\) | \(>\) | \(4000\) |
| \((1.05)^{t}\) | \(>\) | \(2\) |
| \(t\) | \(>\) | \(\dfrac{\log 2}{\log 1.05}\approx 14.2\) |
So it first exceeds \(\$4000\) after \(\mathbf{15}\) whole years.
| \(T(0)\) | \(=\) | \(20+70\,e^{0}=90\) |
| \(T(10)\) | \(=\) | \(20+70\,e^{-0.5}\) |
| \(\approx\) | \(62.46\) |
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.
Common pitfalls
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 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.