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)=Aekt, where A and k 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).
Modelling exponential growth
P=Aekt | | A quantity which changes with respect to t at a rate proportional to the function itself | | A constant; the value of P when t=0 | | A constant; the constant of proportionality between P and dtdP | | 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, A is positive. Notice that if A is positive and k is positive, P will grow as t increases, and if A is positive but k is negative, P decays as t increases. This is referred to as exponential growth, or exponential decay, respectively.
In situations where t is referring to time (in some specified unit, e.g. days) then A is the initial value of P: when t=0, you have that ekt=ek×0=1, so P=Aekt=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=1000000e0.02t, where t is the time in minutes since the scientists initially approximated the population of the bacteria. What is the number 1000000 in this model? Approximately what will be the population in the dish 6 hours after the scientists make their approximation? What is dtdP? Sketch the graph of P against t (choosing the scales of your axes appropriately).
The number 1000000 is the constant A in this model - it refers to the initial value, i.e. the value of P when t=0, which here is the approximation made by the scientists.
There are 60×6=360 minutes in 6 hours. Using your calculator, find that the model predicts the population at time t=360 to be 1000000e0.02×360≈1,339,430,764.
dtdP is equal to:
dtdP=dtd(1000000e0.02t)=1000000dtd(e0.02t)=1000000×0.02e0.02t=20000e0.02t
The graph of this function looks something like this: