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The rate of change 
(dP)/(dt) of the number of students who heard a rumor is modeled by the following differential equation:

(dP)/(dt)=(6500)/(19153)P(1-(P)/( 500))
At 
t=0, the number of students who heard the rumor is 179 and is increasing at a rate of 39 students per hour. Find 
lim_(t rarr oo)P(t).
Answer:

The rate of change dPdt \frac{d P}{d t} of the number of students who heard a rumor is modeled by the following differential equation:\newlinedPdt=650019153P(1P500) \frac{d P}{d t}=\frac{6500}{19153} P\left(1-\frac{P}{500}\right) \newlineAt t=0 t=0 , the number of students who heard the rumor is 179179 and is increasing at a rate of 3939 students per hour. Find limtP(t) \lim _{t \rightarrow \infty} P(t) .\newlineAnswer:

Full solution

Q. The rate of change dPdt \frac{d P}{d t} of the number of students who heard a rumor is modeled by the following differential equation:\newlinedPdt=650019153P(1P500) \frac{d P}{d t}=\frac{6500}{19153} P\left(1-\frac{P}{500}\right) \newlineAt t=0 t=0 , the number of students who heard the rumor is 179179 and is increasing at a rate of 3939 students per hour. Find limtP(t) \lim _{t \rightarrow \infty} P(t) .\newlineAnswer:
  1. Given Differential Equation: The given differential equation is a logistic growth model, which is commonly used to describe population growth that is limited by resources or other factors. The equation is:\newline(dPdt)=(650019153)P(1(P500))(\frac{dP}{dt})=(\frac{6500}{19153})P(1-(\frac{P}{500}))\newlineThis equation suggests that the growth rate of the rumor (dPdt)(\frac{dP}{dt}) depends on the current number of students who have heard the rumor (P)(P), with a carrying capacity of 500500 students. The carrying capacity is the maximum number of students that can hear the rumor given the constraints of the environment, in this case, the school.\newlineTo find the limit of P(t)P(t) as tt approaches infinity, we need to understand the behavior of the logistic growth model. As tt increases, P(t)P(t) will grow until it approaches the carrying capacity, because the term (1(P500))(1 - (\frac{P}{500})) will approach zero as PP approaches 500500, causing the growth rate (dPdt)(\frac{dP}{dt}) to approach zero.\newlineTherefore, the limit of P(t)P(t) as tt approaches infinity is the carrying capacity of the model, which is 500500 students.

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