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