MHB Answer αℓєєиα♥'s Logistic Population Growth Model Q on Yahoo! Answers

Click For Summary
The discussion centers on αℓєєиα♥'s question about the logistic population growth model for yeast cells, described by the function n = f(t) = a / (1 + be^(-0.9t)). The initial conditions provided are that at time t = 0, the population is 20 cells, increasing at a rate of 16 cells/hour. By solving the equations derived from these conditions, the values of the parameters are determined to be a = 180 and b = 8. In the long run, the yeast population is expected to stabilize at 180 cells. This analysis highlights the characteristics of logistic growth in a constrained environment.
MarkFL
Gold Member
MHB
Messages
13,284
Reaction score
12
αℓєєиα♥'s question at Yahoo! Answers regarding the logistic population growth model

Here is the question:

Calculus Exponential Growth Problem?

Really hating calculus right now...

The number of yeast cells in a laboratory culture increases rapidly initially but levels off eventually. The population is modeled by the function:

n = f(t) = a / (1+be^(-0.9t))

Where t is measured in hours. At time t = 0 the population is 20 cells and is increasing at a rate of 16 cells/hour.

a) Find the values of a and b.

b) According to this model, what happens to the yeast population in the long run?

If you could explain how to do this problem that'd be great. It's just that this equation of the growth is unfamiliar.

I have posted a link there to this topic so the OP can see my work.
 
Mathematics news on Phys.org
Re: αℓєєиα♥'s question at Yahoo! Answers regarding the logistic population growth model

Hello αℓєєиα♥,

We are given the following function which models the population of yeast cells:

$$f(t)=\frac{a}{1+be^{-0.9t}}$$

We will need the derivative of this function, so let's compute it now:

$$f'(t)=\frac{0.9abe^{-0.9t}}{\left(1+be^{-0.9t} \right)^2}$$

Incidentally, this population model is the so-called Logistic function - Wikipedia, the free encyclopedia where resources are limited and competition for these resources limits the population growth.

a) To find the values of the parameters $a$ and $b$, we may take the information provided about the initial values to get two equations in two unknowns:

$$f(0)=\frac{a}{1+be^{-0.9\cdot0}}=\frac{a}{1+b}=20$$

$$f'(0)=\frac{0.9abe^{-0.9\cdot0}}{\left(1+be^{-0.9\cdot0} \right)^2}=\frac{0.9ab}{\left(1+b \right)^2}=16$$

The first equation implies:

$$a=20(b+1)$$

Substituting this into the second equation, we find:

$$\frac{0.9\left(20(b+1) \right)b}{\left(1+b \right)^2}=16$$

$$18b(b+1)=16(b+1)^2$$

We may divide through by $b+1\ne0$ to obtain:

$$18b=16(b+1)$$

$$18b=16b+16$$

$$2b=16$$

$$b=8\implies a=20(8+1)=180$$

Hence, we have found:

$$(a,b)=(180,8)$$

b) To analyze the population in the long run, we may consider:

$$\lim_{t\to\infty}f(t)=\lim_{t\to\infty}\frac{a}{1+be^{-0.9t}}=\frac{a}{1+b\cdot0}=a=180$$

Thus, we have found the limiting number of yeast cells is 180.

Here is a plot of the population function for the first 24 hours:

View attachment 1613
 

Attachments

  • yeastpop.jpg
    yeastpop.jpg
    10.2 KB · Views: 114
Thread 'Erroneously  finding discrepancy in transpose rule'
Obviously, there is something elementary I am missing here. To form the transpose of a matrix, one exchanges rows and columns, so the transpose of a scalar, considered as (or isomorphic to) a one-entry matrix, should stay the same, including if the scalar is a complex number. On the other hand, in the isomorphism between the complex plane and the real plane, a complex number a+bi corresponds to a matrix in the real plane; taking the transpose we get which then corresponds to a-bi...

Similar threads

Replies
3
Views
2K
  • · Replies 10 ·
Replies
10
Views
6K
  • · Replies 5 ·
Replies
5
Views
3K
Replies
1
Views
5K
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
7K
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 1 ·
Replies
1
Views
5K