2.2 Logarithmic and exponential functions
- Syllabus
- 9709–2028–2029
- Topic
- 2.2
- Level
- AS
For $a>0$, $a e1$ and $y>0$:a^x=y\quad\Longleftrightarrow\quad \log_a y=x.Hence $\log_a1=0$ and $\log_a a=1$.
| Structure | Logarithm law (positive arguments) |
|---|---|
| product | loga(MN)=logaM+logaN |
| quotient | loga(M/N)=logaM−logaN |
| power | loga(Mp)=plogaM |
Record the positivity conditions before combining or expanding logs. Move coefficients into powers when useful, combine to one logarithm, then translate back to index form.
For $x>0$,\log_2(8x)-\log_2x=\log_2(8)=3.
log(a+b) does not split. Change-of-base formulae are explicitly excluded from this objective.
y=e^x\quad\Longleftrightarrow\quad x=\ln y.Thus $\ln(e^x)=x$ for real $x$, while $e^{\ln x}=x$ requires $x>0$. Their graphs reflect in $y=x$.
| Graph | Domain | Range | Intercept/asymptote |
|---|---|---|---|
| y=ekx, $k | |||
| e0∣allrealx∣y>0∣(0,1);horizontalasymptotey=0$ | |||
| y=lnx | x>0 | all real y | (1,0); vertical asymptote x=0 |
For k>0, ekx increases; for k<0, it decreases. Both stay positive and approach, but never cross, the x-axis in one direction.
$3e^{2x}=12$ gives $e^{2x}=4$, so $x= frac12\ln4$.
An exponential graph has no x-intercept, and lnx is undefined for x≤0. Do not treat ln(x2)=2lnx as valid when x<0.
Rearrange until each exponential expression is positive, take ln of both sides, use ln(ag(x))=g(x)lna, then solve the resulting algebraic equation and check in the original.
5^{2x-1}=12\quad\Rightarrow\quad(2x-1)\ln5=\ln12\quad\Rightarrow\quad x=rac{1+\ln12/\ln5}{2}.
| Base form | Monotonic direction |
|---|---|
| au<av with a>1 | u<v |
| au<av with 0<a<1 | u>v |
If terms such as a2x and ax occur together, set t=ax with t>0, solve the polynomial in t, reject non-positive roots, then take logs to recover x.
Logs can only be taken after both sides are positive. An inequality reverses for a decreasing base 0<a<1, not merely because logarithms were used.
Transform variables so the model becomes Y=mX+c. For y=ab^x, plotting ln y against x gives gradient ln b and intercept ln a; for y=ax^n, plotting ln y against ln x gives gradient n.
Transform measured uncertainties and units consistently, then interpret the gradient and intercept in the original parameters. A straight plot supports the model but does not prove causation.
If ln y=0.7x+1.2, then a=e^{1.2} and b=e^{0.7} for y=ab^x.
The intercept is not always the original constant; it may be ln a or another transformed quantity.