Exponential Growth in Populations Explained

Sep 1, 2024

Exponential Growth and Decay in Population

Key Concepts

  • Equation for Population Growth:
    [ \frac{dp}{dt} = k \times p ]
    • ( dp/dt ): Rate of population growth
    • ( k ): Relative growth rate
    • ( p ): Size of the population at time ( t )

Conceptual Understanding

  • Proportional Growth:
    • If population size doubles, the growth rate also doubles.
    • Example:
      • 1000 bacteria grow at 50 cells/hour;
      • 2000 bacteria grow at 100 cells/hour.

Deriving the General Formula

  1. Starting equation:
    [ dp = k imes p imes dt ]
  2. Separate variables:
    [ \frac{1}{p} dp = k dt ]
  3. Integrate both sides:
    • Left side: ( \ln(p) )
    • Right side: ( kt + c )
  4. Exponentiate to solve for ( p ):
    [ p = C e^{kt} ]
  5. Find initial population ( p_0 ):
    • When ( t = 0 ):
      [ p(0) = C e^{0} = C \rightarrow p_0 ]
  6. Final equation:
    [ p(t) = p_0 e^{kt} ]

Example Problem: Rabbit Population

  • Given: Rabbit population on an island starting in year 2000.
  • Calculate Initial Population:
    • ( p_0 = 1500 ) when ( t = 0 )
  • Using Data Point:
    • Population in 2001 (t = 1) is 1577.
    • ( 1577 = 1500 e^{k} )
    • Solve for ( k ):
      • ( k = \ln(1.0513) \approx 0.05 )
  • General Formula:
    [ p(t) = 1500 e^{0.05t} ]

Population Estimates

  • Estimate for 2010:
    • ( t = 10 ):
      [ p(10) = 1500 e^{0.5} \approx 2473 \text{ rabbits} ]
  • Doubling Time:
    • To find when population doubles to 3000:
      [ 2 = e^{0.05t} ]
    • Solve:
      [ t = \frac{\ln(2)}{0.05} \approx 13.86 \text{ years} ]
    • Round to:
    • Approx. 14 years (by year 2014).

Summary

  • Understanding exponential growth is crucial for modeling populations.
  • The derived formula ( p(t) = p_0 e^{kt} ) is key for predictions and calculations.