In every function you have met so far, the variable sat in the base: $x^2$, $x^3$, $\sqrt{x}$. An exponential function puts the variable in the index instead: $2^x$, $10^x$, $1.05^x$. That single change produces growth of an entirely different character.
$\log_a x = y \;\Longleftrightarrow\; a^y = x$
| Word | Meaning |
|---|---|
| Exponential function | $y = ka^x$ โ the variable is in the index. |
| Base | The $a$ in $a^x$ or in $\log_a x$. |
| Logarithm | The inverse of raising to a power. |
| $\log$ | Written without a base, this conventionally means base $10$. |
| $\ln$ | The natural logarithm, base $\mathrm{e}$. |
| Growth factor | The multiplier per period: $1.05$ for $5\%$ growth. |
| Decay factor | A multiplier between $0$ and $1$. |
| Asymptote | A line the curve approaches but never reaches. |
| Linear form | $Y = mX + c$ โ what a log transformation produces. |
$\log x - \log y = \log\!\left(\dfrac{x}{y}\right)$
$n\log x = \log\left(x^n\right)$
This is what brings an unknown index down to ground level.
Solve $3^x = 20$, giving your answer to $3$ significant figures.
- EL1Exponential FunctionsThe function $ka^x$ and its graph, for positive $a$.
- EL2
EL3Logarithms and Their Laws$\log_a x$ as the inverse of $a^x$, and the three laws. - EL6Solving Exponential EquationsEquations of the form $a^x = b$, and disguised quadratics.
- EL4
EL5Reduction to Linear FormTurning $y = ka^x$ and $y = kx^n$ into straight lines, then estimating $k$, $a$ and $n$. - EL7Growth and DecayCompound interest, populations, half-life and cooling.
Definition
$\log_a x = y \iff a^y = x$.
In words
The power $a$ needs to give $x$.
Product
$\log x + \log y = \log(xy)$.
Quotient
$\log x - \log y = \log\!\left(\tfrac{x}{y}\right)$.
Power
$\log\left(x^n\right) = n\log x$.
$\log_a 1$
Always $0$.
Solving $a^x=b$
$x = \dfrac{\log b}{\log a}$.
Graph of $ka^x$
Through $(0,k)$, asymptote $y = 0$.
Growth factor
$1 + \dfrac{\text{rate}}{100}$.
No logs of
Zero or negative numbers.
Write $\log_2 8 = 3$ in index form.
โถ Show solution
$2^3 = 8$
Evaluate $\log_3 81$ and $\log_5 1$.
โถ Show solution
$3^4 = 81$, so $\log_3 81 = 4$.
$5^0 = 1$, so $\log_5 1 = 0$.
Write $\log 6 + \log 4$ as a single logarithm.
โถ Show solution
$\log 6 + \log 4 = \log(6 \times 4) = \log 24$
Solve $2^x = 15$, to $3$ significant figures.
โถ Show solution
$x\log 2 = \log 15$
$x = \dfrac{\log 15}{\log 2} = \dfrac{1.17609}{0.30103} = 3.91$ (3 s.f.)
Write down the $y$-intercept of $y = 7 \times 3^x$.
โถ Show solution
At $x = 0$: $y = 7 \times 1 = 7$, so the intercept is $(0, 7)$.
A population grows by $8\%$ a year from $5000$. Write a formula for the population after $t$ years.
โถ Show solution
Growth factor $1.08$, so $P = 5000 \times 1.08^t$.
Simplify $3\log 2 + \log 5$.
โถ Show solution
$3\log 2 = \log\left(2^3\right) = \log 8$
$\log 8 + \log 5 = \log 40$
Solve $\log_2 x = 5$.
โถ Show solution
By the definition, $x = 2^5 = 32$.
Explain why $\log(-4)$ has no value.
โถ Show solution
$\log(-4)$ would be the power of $10$ giving $-4$.
But $10^x$ is positive for every real $x$ โ it approaches zero for large negative $x$ but never becomes negative.
So no such power exists, and $\log(-4)$ is undefined.
A radioactive sample of mass $80$ mg decays so that $12\%$ is lost each year.
(a) Write a formula for the mass $m$ after $t$ years. (b) Find the mass after $5$ years. (c) Find the half-life, to $3$ significant figures. (d) Explain why the sample never completely disappears according to this model, and comment on whether that is realistic.
โถ Show solution
(a) Losing $12\%$ leaves $88\%$, so the decay factor is $0.88$:
$m = 80 \times 0.88^t$
(b) $m = 80 \times 0.88^5 = 80 \times 0.527732 = 42.2$ mg (3 s.f.)
(c) Half-life is when $m = 40$:
$80 \times 0.88^t = 40 \;\Rightarrow\; 0.88^t = 0.5$
$t\log 0.88 = \log 0.5$
$t = \dfrac{\log 0.5}{\log 0.88} = \dfrac{-0.30103}{-0.055517} = 5.42$ years (3 s.f.)
Check: $0.88^{5.42} = 0.500$ โ
(d) $0.88^t$ is positive for every $t$, however large โ each year removes $12\%$ of what remains, never the last of it. So the model gives a mass that shrinks towards zero without ever reaching it: the $t$-axis is an asymptote.
Physically this is only an approximation. A real sample consists of a whole number of atoms, so once very few remain the smooth exponential model breaks down, and eventually the last atom decays and the sample genuinely is gone. The model is excellent while the number of atoms is large, and unrealistic at the very end โ a limitation worth stating in any answer about long-term behaviour.