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Exponential modelling

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Tutor: Dylan

Summary

Exponential modelling

In a nutshell

There is a wide range of situations wherein you will want to study quantities for which the rate of growth or decay is proportional to the quantity itself. Functions of the form f(t)=Aektf(t) = Ae^{kt}, where AA and kk are constants, can be used to model such quantities, as they have the property that their rate of change is proportional to the original function; in particular, the derivative is f(t)=kAekt=kf(t)f'(t) = kAe^{kt} = kf(t).

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Modelling exponential growth

P=Aekt{P = Ae^{kt}}​​
PP​​
A quantity which changes with respect to tt at a rate proportional to the function itself
AA​​
A constant; the value of PP​ when t=0t = 0​​
kk​​
A constant; the constant of proportionality between PP​ and dPdt\dfrac{dP}{dt}​​
tt​​
A variable; in situations like population growth this could be time measured in days, but it does not necessarily have to be time.

In many cases, AA​ is positive. Notice that if AA​ is positive and kk​ is positive, PP​ will grow as tt increases, and if AA is positive but kk​ is negative, PP​ decays as tt​ increases. This is referred to as exponential growth, or exponential decay, respectively.


In situations where tt is referring to time (in some specified unit, e.g. days) then AA​ is the initial value of PP: when t=0t = 0​, you have that ekt=ek×0=1e^{kt} = e^{k \times 0} = 1​, so P=Aekt=AP = Ae^{kt} = A. ​


Example 1

A petri dish contains a tiny colony of bacteria. Two scientists approximate the population of the colony, and then decide to model the population in the dish going forward by the equation P=1000000e0.02tP = 1000000e^{0.02t}, where tt is the time in minutes since the scientists initially approximated the population of the bacteria. What is the number 10000001000000​ in this model? Approximately what will be the population in the dish 66 hours after the scientists make their approximation? What is dPdt\dfrac{dP}{dt}​? Sketch the graph of PP against tt (choosing the scales of your axes appropriately).


The number 10000001000000 is the constant AA in this model - it refers to the initial value, i.e. the value of PP​ when t=0t = 0​, which here is the approximation made by the scientists.


There are 60×6=36060 \times 6 = 360 minutes in 66 hours. Using your calculator, find that the model predicts the population at time t=360t = 360 to be 1000000e0.02×3601,339,430,7641000000e^{0.02 \times 360}\approx1,339,430,764.


dPdt\dfrac{dP}{dt}​ is equal to:


dPdt=ddt(1000000e0.02t)=1000000ddt(e0.02t)=1000000×0.02e0.02t=20000e0.02t\begin{aligned}\dfrac{dP}{dt} &= \dfrac{d}{dt}(1000000e^{0.02t})\\&= 1000000\dfrac{d}{dt}(e^{0.02t})\\&= 1000000 \times 0.02e^{0.02t}\\&= 20000e^{0.02t}\end{aligned}​​


The graph of this function looks something like this:

Maths; Exponentials and logarithms; KS5 Year 12; Exponential modelling




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