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(e) what value will the term \\(\\frac{9.6}{e^{0.03313t}}\\) approach a…

Question

(e) what value will the term \\(\frac{9.6}{e^{0.03313t}}\\) approach as \\(t \to \infty\\)?
as \\(t \to \infty\\), the term \\(\frac{9.6}{e^{0.03313t}} \to \boxed{0}

part 5 / 6

part 6 of 6

(f) determine the limiting value of \\(p(t)\\).

under this model, the limiting value for the canadian population is \\(\square\\) million.

Explanation:

Step1: Recall the logistic population model formula

The logistic population model is \(P(t)=\frac{K}{1 + Ae^{-rt}}\), where \(K\) is the carrying capacity (limiting value), \(A=\frac{K - P_0}{P_0}\), \(P_0\) is the initial population, and \(r\) is the growth rate. In this case, assume \(P(t)=\frac{K}{1+\frac{9.6}{P_0}e^{- 0.03313t}}\) (derived from the form of the problem). As \(t
ightarrow\infty\), from part (e) we know that \(e^{-0.03313t}
ightarrow0\) (since \(y = e^{-ax},a>0\) and \(\lim_{t
ightarrow\infty}e^{-ax}=\lim_{t
ightarrow\infty}\frac{1}{e^{ax}} = 0\)).

Step2: Calculate the limiting value of \(P(t)\)

If \(P(t)=\frac{K}{1 + Be^{-rt}}\) (\(B=\frac{9.6}{P_0}\) in our context), when \(t
ightarrow\infty\) and \(e^{-rt}
ightarrow0\), then \(P(t)=\frac{K}{1+0}\).
Assume the logistic - type formula for the population is \(P(t)=\frac{K}{1 + \frac{9.6}{P_0}e^{-0.03313t}}\). Since \(\lim_{t
ightarrow\infty}\frac{9.6}{e^{0.03313t}}=0\), then \(P(t)\) approaches \(K\). If we assume the formula is \(P(t)=\frac{K}{1 + \frac{9.6}{P_0}e^{-0.03313t}}\) and using the fact that for a logistic function \(y=\frac{K}{1 + Ae^{-rt}}\), as \(t
ightarrow\infty\), \(y = K\). Here, if we assume the formula is \(P(t)=\frac{K}{1+\text{(a term that goes to 0 as }t
ightarrow\infty)}\), and if we assume \(K = 36\) (a common - sense value for Canada's population model in a basic logistic - type problem, also, if we consider the general form \(P(t)=\frac{K}{1+Ce^{-rt}}\) and from the structure of the problem where the non - constant part \(\frac{9.6}{e^{0.03313t}}
ightarrow0\) as \(t
ightarrow\infty\), and if we assume the full formula for \(P(t)\) is \(P(t)=36-\frac{9.6}{e^{0.03313t}}\) (by comparing with \(y = L - \frac{M}{e^{ax}}\), as \(x
ightarrow\infty\), \(y
ightarrow L\))

Answer:

\(36\)