Exponential growth with an elimination rate

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SUMMARY

The discussion focuses on modeling the growth of viruses with an exponential function, specifically f(t) = P_0 e^(kt), while considering an elimination rate of viruses per minute. Participants clarify that the elimination rate must be incorporated into the differential equation, represented as df/dt = kf - D(t,f), where D(t,f) denotes the death rate. The initial population of viruses does not affect the general solution of the differential equation, as it is determined after solving for the constants of integration. The conversation emphasizes the importance of correctly identifying variables and the need for a clear understanding of differential equations in this context.

PREREQUISITES
  • Understanding of differential equations, particularly the logistic model.
  • Familiarity with exponential growth functions, specifically f(t) = P_0 e^(kt).
  • Basic knowledge of population dynamics and elimination rates.
  • Proficiency in using Excel for data modeling and formula generation.
NEXT STEPS
  • Study the derivation and application of logistic growth models in population dynamics.
  • Learn how to solve differential equations involving variable elimination rates.
  • Explore the use of Excel for simulating differential equations and population models.
  • Investigate the implications of constant versus proportional death rates in biological systems.
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Students and professionals in biology, mathematics, and data analysis who are interested in modeling viral growth and elimination rates using differential equations.

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Homework Statement


Viruses are reproducing with rate of k ,in t minutes, the function is:
f(x) = Po x e^(kt)
However there is an elimination rate of a viruses per minute.

Homework Equations





The Attempt at a Solution


We can't say that the new function will be:
f(x) = Po x e^(kt) - ax
because the initial number pf viruses are different for every trial. I used succeeding cells with formulae in Excel to generate these values, and it worked. But is there a way to generalize this situation into a formula?
 
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Which variables are you using? Your function is supposedly a that of variable x, f(x) but yet somehow t appears. It should be f(t) = P_0 e^{kt} correct?

When you take the rate at which the viruses die into consideration you need to make clear whether or not they are dying at a constant rate, or one is proportionate to their current size. You usually start off with the differential equation. In this case, we know that \frac{df}{dt} = kf - D(t,f), where D(t,f) is the death rate in terms of an unspecified function. You can't use the final exponential function and then modify it to take into account the elimination rate if the death rate makes the logistic assumption for example.

The initial population of viruses doesn't matter as well. Those are the numbers you plug in after you solve the DE to find the unknown constants of integration.
 
Yes you are right. I was in a bit of hurry when posted this. The variable should be t. We have just finished integral and started differential equations in school, so I kind of guessed that the problem might be solved that way.
Other than that thank you very much. You somehow manage to help everyone in this forum, very admirable:).
 

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