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Logistic Growth Models_print

Mar 02, 2016

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Wei Ping Owi

mte 3143 aplikasi matematik
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Calculus 6.5

6.5Logistic Growth Model

YearsBearsGreg Kelly, Hanford High School, Richland, WashingtonWe have used the exponential growth equationto represent population growth.

The exponential growth equation occurs when the rate of growth is proportional to the amount present.If we use P to represent the population, the differential equation becomes:

The constant k is called the relative growth rate.

The population growth model becomes:

However, real-life populations do not increase forever. There is some limiting factor such as food, living space or waste disposal.There is a maximum population, or carrying capacity, M.A more realistic model is the logistic growth model where growth rate is proportional to both the amount present (P) and the fraction of the carrying capacity that remains:

The equation then becomes:

Our book writes it this way:Logistics Differential Equation

We can solve this differential equation to find the logistics growth model.

PartialFractionsLogistics Differential Equation

Logistics Differential Equation

Logistics Differential Equation

Logistics Growth Model

Example:Logistic Growth ModelTen grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.Assuming a logistic growth model, when will the bear population reach 50? 75? 100?

Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.Assuming a logistic growth model, when will the bear population reach 50? 75? 100?

At time zero, the population is 10.

After 10 years, the population is 23.

YearsBearsWe can graph this equation and use trace to find the solutions. y=50 at 22 yearsy=75 at 33 yearsy=100 at 75 yearsp