Birth and death rates of roaches.

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SUMMARY

The discussion focuses on modeling the population dynamics of cockroaches, specifically how birth and death rates are proportional to the square root of the population size, P. The birth rate (B) is defined as B = k*sqrt(P) and the death rate (D) as D = w*sqrt(P), leading to the differential equation dP/dt = (k - w)P^(3/2). Given that the population increased from 100 to 400 in one week, the model aims to predict the population size in the subsequent week, highlighting the significance of the difference (k - w) as the primary variable affecting growth.

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Homework Statement



Consider a population model in which the birth and death rates and  of a cockroach
population P are both proportional to sqrt(P). (Recall that in a “normal” exponential growth
model, B and  D are constants.) If the cockroach population has increased from 100 to 400
in one week, what will the population be in another week? Is this model reasonable?


Homework Equations





The Attempt at a Solution



So I am not sure exactly how to model this. Here is my attempt but I think it is wrong since there are too many unknowns for the information given.

B = k*sqrt(P)
D = w*sqrt(P)

Where B is the birth rate, D is the death rate, and they are both equal to different constants multiplied by the square root of P.

So here is the differential equation I cam up with...
dP/dt = (k*sqrt(P) - w*sqrt(P))P

However I think there are too many unknowns for the information given.
 
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If you do a little algebra
\frac{dP}{dt} = (k-w) P^{3/2}
Now it doesn't matter what k and w are, just what k-w is. So you really only have one unknown that matters.
 

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