How do we differentiate, integrate and apply exponential and logarithmic functions?
Differentiate and integrate exponential and natural logarithm functions and apply them to growth, decay and other modelling contexts
WACE Year 12 Mathematics Methods Unit 3 exponential and logarithmic functions: derivatives and integrals of e^x and ln x, the chain rule with exponentials, and growth and decay modelling with worked SCSA-style examples.
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SCSA Unit 3 develops calculus of the natural exponential function ex and the natural logarithm lnx. The defining feature of ex is that it is its own derivative, which makes it the natural model for any quantity whose rate of change is proportional to its current size. This dot point appears in both examination sections.
Derivatives
Worked derivative
For y=e2xsinx apply the product rule with the chain rule on e2x:
dxdy=2e2xsinx+e2xcosx=e2x(2sinx+cosx).
Integrals
Antidifferentiation reverses the derivatives above.
The absolute value in ln∣x∣ matters because 1/x is defined for negative x as well, but lnx is not.
Growth and decay modelling
A quantity whose rate of change is proportional to its size satisfies dtdN=kN, and the solution is the exponential model
N(t)=N0ekt,
where N0 is the initial amount, k>0 gives growth and k<0 gives decay. Logarithms are used to solve for the time t at which a target value is reached.
Half-life and doubling time
Two quantities are commonly asked of an exponential model. The doubling time of a growth model N0ekt is found by setting ekt=2, giving t=kln2. The half-life of a decay model is found by setting ekt=21, giving t=kln(1/2)=k−ln2, which is positive because k<0 for decay. Both reduce to the same idea: take logarithms to pull the unknown out of the exponent. Because the result does not depend on N0, the doubling time and half-life are properties of the rate constant k alone, so a population doubles in the same time no matter how large it already is.
Reading the rate from the model
The chain rule shows that for N(t)=N0ekt the rate N′(t)=kN(t) is always proportional to the current amount. This means a growth curve gets steeper as it rises (accelerating growth) while a decay curve flattens as it falls (slowing decline). Recognising the proportional-rate signature dtdN=kN tells you immediately that an exponential model applies and that k is the constant of proportionality, a connection SCSA examines through both calculus and modelling questions.
Logarithm laws for solving
When solving exponential equations you will use:
ln(ab)=lna+lnb,ln(ba)=lna−lnb,ln(ak)=klna.
These let you bring an unknown out of an exponent before solving.
Exam-style practice questions
Practice questions written in the style of SCSA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
WACE 20217 marksCalculator-assumed. A population is modelled by P(t)=2000e0.05t, where t is in years. (a) Find the initial population. (b) Find the rate of growth when t=10. (c) Find, to the nearest year, the time for the population to double.
Show worked answer →
An applied growth question combining differentiation and logarithms.
(a) At t=0, P(0)=2000e0=2000.
(b) P′(t)=2000×0.05e0.05t=100e0.05t. At t=10, P′(10)=100e0.5≈165 per year.
(c) Double means P(t)=4000: 2000e0.05t=4000, so e0.05t=2, giving 0.05t=ln2 and t=0.05ln2≈13.9, about 14 years.
Markers reward the initial value, the chain-rule derivative evaluated at t=10, and using ln to solve for the doubling time.