Exponential growth/decay - non-standard rate function

Questions where the rate of change involves a more complex function of t or N (e.g. dN/dt = kNe^(-at), dP/dt = 0.05Pe^(-0.05t)), requiring separation and integration of a non-trivial expression.

3 questions · Standard +0.3

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CAIE P3 2019 November Q4
8 marks Standard +0.3
4 The number of insects in a population \(t\) weeks after the start of observations is denoted by \(N\). The population is decreasing at a rate proportional to \(N \mathrm { e } ^ { - 0.02 t }\). The variables \(N\) and \(t\) are treated as continuous, and it is given that when \(t = 0 , N = 1000\) and \(\frac { \mathrm { d } N } { \mathrm {~d} t } = - 10\).
  1. Show that \(N\) and \(t\) satisfy the differential equation $$\frac { \mathrm { d } N } { \mathrm {~d} t } = - 0.01 \mathrm { e } ^ { - 0.02 t } N .$$
  2. Solve the differential equation and find the value of \(t\) when \(N = 800\).
  3. State what happens to the value of \(N\) as \(t\) becomes large.
OCR C4 Q8
10 marks Standard +0.3
8. A small town had a population of 9000 in the year 2001. In a model, it is assumed that the population of the town, \(P\), at time \(t\) years after 2001 satisfies the differential equation $$\frac { \mathrm { d } P } { \mathrm {~d} t } = 0.05 P \mathrm { e } ^ { - 0.05 t }$$
  1. Show that, according to the model, the population of the town in 2011 will be 13300 to 3 significant figures.
  2. Find the value which the population of the town will approach in the long term, according to the model.
Edexcel C4 Q6
10 marks Standard +0.3
6. A small town had a population of 9000 in the year 2001. In a model, it is assumed that the population of the town, \(P\), at time \(t\) years after 2001 satisfies the differential equation $$\frac { \mathrm { d } P } { \mathrm {~d} t } = 0.05 P \mathrm { e } ^ { - 0.05 t }$$
  1. Show that, according to the model, the population of the town in 2011 will be 13300 to 3 significant figures.
  2. Find the value which the population of the town will approach in the long term, according to the model.
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