Integrating Population Differential Equation: Need Help!

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In summary, the conversation is about a population differential equation with proportionality constants k1 and k2. The goal is to integrate and analyze the equation for different values of k1 and k2. The solution is P(t) = Ae^(k1-k2)t, where A is a constant. The junction between two formulas is made by defining A as e^(C(k1-k2)).
  • #1
andrewdavid
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I have this population differential equation dP/dt=k1(P)-k2(P) where k1 and k2 are proportionality constants. I need to integrate and analyze where k1>k2, k1=k2, and k1<k2. Trouble is, I don't think I'm integrating this right. I get P=e^(t+C)(k1-k2). I know this should be easy but I don't think it's right. Little help?
 
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  • #2
the solution is

[tex]P(t) = Ae^{(k_1-k_2)t}[/tex]

for some constant [itex]A[/itex], which might be equivalent to yours, or it might not (I can't tell whether you mean that [itex]k_1-k_2[/itex] is in the exponent or not. If it is, then yours is fine).
 
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  • #3
Yes,the jonction between the 2 formulae is made simply

[tex] P(t)=e^{\left[\left(k_{1}-k_{2}\right)(t+C)\right]}=e^{C\left(k_{1}-k_{2}\right)}e^{\left(k_{1}-k_{2}\right) t} =A e^{\left(k_{1}-k_{2}\right) t} [/tex]

,where i defined

[tex] A=:e^{C\left(k_{1}-k_{2}\right)} [/tex]

Daniel.
 

What is a population differential equation?

A population differential equation is a mathematical model that describes the change in a population over time. It takes into account factors such as birth rates, death rates, and migration to predict how a population will grow or decline.

Why is it important to integrate population differential equations?

Integrating population differential equations allows us to make accurate predictions about population growth or decline, which is crucial for planning and decision making in areas such as resource management, urban planning, and healthcare.

What are some challenges in integrating population differential equations?

One of the main challenges is obtaining accurate data for all the variables involved in the equation. This can be difficult, especially in developing countries where data may be limited or unreliable. Additionally, the complexity of the equations and the need for advanced mathematical skills can also pose challenges.

What are some real-life applications of population differential equations?

Population differential equations have many real-life applications, including predicting population growth and decline, understanding the spread of diseases, and studying the impact of human activities on the environment. They are also used in economics and finance to model consumer behavior and market trends.

Are there any limitations to using population differential equations?

Yes, there are some limitations to using population differential equations. They are based on assumptions and simplifications, which may not accurately reflect the complexity of real-life populations. In addition, unforeseen events or changes in the environment can also affect the accuracy of the predictions made by these equations.

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