Population Growth with Finite Resources:

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SUMMARY

The discussion centers on solving a separable differential equation related to population growth with finite resources, specifically using a logistic model. The parameters provided include a growth constant (k = 0.01), maximum population (Pmax = 1000), initial population (p(0) = 200), and initial time (t0 = 0). Participants emphasize the need to apply partial fractions to solve the differential equation and analyze the behavior of the population as time approaches infinity, confirming that the population will reach the maximum limit.

PREREQUISITES
  • Understanding of separable differential equations
  • Familiarity with logistic growth models
  • Knowledge of partial fraction decomposition
  • Basic calculus concepts, including derivatives and integrals
NEXT STEPS
  • Study the application of partial fractions in solving differential equations
  • Explore logistic growth models in depth, focusing on their mathematical derivation
  • Learn about the behavior of solutions to differential equations as time approaches infinity
  • Investigate graphical representations of population dynamics over time
USEFUL FOR

Students and educators in mathematics, particularly those focusing on differential equations and population dynamics, as well as researchers interested in mathematical modeling of biological systems.

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Homework Statement



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Homework Equations



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The Attempt at a Solution



I'm a bit unsure how to set this up to solve for a solution. Any advice?

Its obviously a separable differential equation. But I'm unsure what it is I'm looking for. This looks different then some population examples in the book.

If I read the given equation correctly it states that the change in population (dp) in regards to time (dt) is equal to the constant rate of change (K) multiplied by the difference between the maximum population minus the population.

Then I see that my initial values are k = 0.01, Pmax = 1000, p(0) = 200, and t0 = 0.

But what do I do with this data? What am i solving for?
 
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I'm re-reading through the chapter now and the closest thing the original given equation looks similar to is a logistic model. Is this correlation correct?

Logistic model as per the book:

The stated expression for a logistic model is:

dp/dt = -Ap(p - p1), p(0) = p0

where A = k3/2 and p1 = (2k1/k3) + 1

If the original problem is a logistic model then my problem is the examples in the book give secondary and tertiary values of t and p(t). But the original problem does not.
 
I do not know what "secondary and tertiary values" your last paragraph means but what to do? Solve the differential equation!

It is probably done in your book but see if you can do it. Simple application of partial fractions. (We have had several examples on these in recent days. People study and do exercises in them in algebra, they are quite easy. Then when they meet simple examples of them in differential equations they have no idea again. :confused:).

Then see qualitatively what it looks like. Would it surprise you if at the end (t = infinity) the population was the maximum population? Would it surprise you if it wasn't? Does the graph of P against t or log t :wink: have a symmetry? Does the original equation say anything about that?
 
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