Population Model: Increasing P as t Increases

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SUMMARY

The differential equation \(\frac{dP}{dt} = P(aP - b)\) describes a population model where \(a\) and \(b\) are positive constants. As time \(t\) increases, the behavior of the population \(P\) is determined by its initial value \(P(0)\) in relation to the critical point \(b/a\). For \(P(0) < b/a\), the population decreases, while for \(P(0) > b/a\), the population increases. At the critical point \(P(0) = b/a\), the population stabilizes.

PREREQUISITES
  • Understanding of differential equations, specifically logistic growth models.
  • Familiarity with critical points and their significance in population dynamics.
  • Knowledge of the behavior of functions based on their derivatives.
  • Basic calculus concepts, including limits and continuity.
NEXT STEPS
  • Study the implications of critical points in differential equations.
  • Explore the stability analysis of population models using phase portraits.
  • Learn about the original population model \(\frac{dP}{dt} = P(a - bP)\) and compare it with the modified version.
  • Investigate real-world applications of population models in ecology and resource management.
USEFUL FOR

Students studying differential equations, ecologists modeling population dynamics, and mathematicians interested in the behavior of nonlinear systems.

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Homework Statement



The differential equation [tex]\frac{dP}{dt} = P(a - bP)[/tex] is a well-known population model. Suppose the DE is changed to:

[tex]\frac{dP}{dt} = P(aP - b)[/tex]

Where a and b are positive constants. Discuss what happens to the population P as time t increases.

Homework Equations



[tex]\frac{dP}{dt} = P(aP - b)[/tex]

The Attempt at a Solution



Well I thought the population would increase because in the original equation on the intervals:

critical points
[tex]P(t) = 0[/tex]
[tex]P(t) = a/b[/tex]

[tex]-\infty < P < 0[/tex] it is decreasing
[tex]0 < P < a/b[/tex] it is increasing
[tex]a/b < P < \infty[/tex] it is decreasing

so in the changed equation:

critical points
[tex]P(t) = 0[/tex]
[tex]P(t) = b/a[/tex]

[tex]-\infty < P < 0[/tex] it is increasing
[tex]0 < P < b/a[/tex] it is increasing
[tex]b/a < P < \infty[/tex] it is increasing
 
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The derivative is positive (and so the function is increasing) when P(aP- b)> 0. Now, if P< 0, both P and aP-b are negative so P(aP- b)> 0. For 0< P < b/a, P is positive but aP- b is still negative so P(aP-b)< 0 and P is decreasing. Was that a typo?

From that, it seems to me that what happens to the population "as time t increases" depends upon the initial value. What happens if P(0) is less than b/a? What happens if P(0) is larger than b/a? What happens if P(0)= b/a?
 
Ok I got it thanks.
 

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