The size \( P \) of a certain insect population at time \( t \) (in days) obeys the function \( P(t)=600 e^{0.04 t} \) (a) Determine the number of insects at \( t=0 \) days, (b) What is the growth rate of the insect population? (c) Graph the function using a graphing utility. (d) What is the population after 10 days? (e) When will the insect population reach 720 ? (f) When will the insect population double?
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At \( t=0 \) days, the size of the insect population \( P(0) \) can be calculated by substituting \( t=0 \) into the function \( P(t)=600 e^{0.04 t} \). This gives us \( P(0)=600 e^{0} = 600 \). So, there are 600 insects at the start! The growth rate of the insect population is given by the exponent in the function. Here, \( 0.04 \) represents the continuous growth rate, which is equivalent to a \( 4\% \) growth rate per day. This means the bug party is getting livelier every day, growing by about 4% of its size! To determine the insect population after 10 days, substitute \( t=10 \) into the function: \[ P(10) = 600 e^{0.04 \cdot 10} = 600 e^{0.4} \approx 600 \times 1.49182 \approx 894.1 \] Rounding that, we can say there are approximately \( 894 \) insects then. To find when the insect population reaches 720, we need to set \( P(t) = 720 \) and solve for \( t \): \[ 720 = 600 e^{0.04 t} \] Dividing both sides by \( 600 \) gives \( 1.2 = e^{0.04 t} \). Taking the natural logarithm of both sides, we get: \[ \ln(1.2) = 0.04 t \] Solving for \( t \) gives \( t \approx \frac{\ln(1.2)}{0.04} \approx 4.89 \) days. To find when the insect population will double, set \( P(t) = 1200 \): \[ 1200 = 600 e^{0.04 t} \] This simplifies to \( 2 = e^{0.04 t} \). Taking the natural logarithm: \[ \ln(2) = 0.04 t \] Thus, \( t \approx \frac{\ln(2)}{0.04} \approx 17.33 \) days. In summary, it will take about \( 17.33 \) days for the insect population to double! The buzzing is just getting started! 🐞📈