A biologist recorded a count of 360 bacteria present in a culture after 5 minutes and 1000 bacteria present after 20 minutes. Write the exponential equation representing this scenario modeled as a continuous growth model.

Respuesta :

Answer:

[tex] r = \frac{ln(\frac{25}{9})}{15}= 0.06811008317[/tex]

[tex]A_o = \frac{360}{e^{5*0.06811008317}} = 256.0963179[/tex]

And our exponential model would be:

[tex] A(t) = 256.0963179 e^{0.06811008317 t}[/tex]

Step-by-step explanation:

We want to adjust an exponential model given by this general expression:

[tex] A(t)= A_o e^{rt}[/tex]

Where A(t) represent the number of bacteria after some t minuts

t represent the time in minutes

[tex] A_o [/tex] represent the initial amount of bacteria

[tex]r [/tex] represent the growth/decay rate

For this problem we know the following two conditions:

[tex] A(5)= 360, A(20) = 1000[/tex]

Using the first condition we have this:

[tex] 360 = A_o e^{5r} [/tex]

We can solve for the initial amount [tex]A_o[/tex] and we got:

[tex] A_o = \frac{360}{e^{5r}}[/tex]   (1)

Now using the second condition we have this:

[tex] 1000 = A_o e^{20r}[/tex]  (2)

Replacing equation (1) into (2) we have this:

[tex] 1000 =\frac{360}{e^{5r}} e^{20r} = 360 e^{15r}[/tex]   (3)

Now we can divide both sides by 360 and we got:

[tex]\frac{1000}{360}=\frac{25}{9}= e^{15r}[/tex]

Now we can apply natural log on both sides and we got:

[tex] ln(\frac{25}{9}) = 15r[/tex]

And solving for r we got:

[tex] r = \frac{ln(\frac{25}{9})}{15}= 0.06811008317[/tex]

And replacing this value of r into equation (1) we got:

[tex]A_o = \frac{360}{e^{5*0.06811008317}} = 256.0963179[/tex]

And our exponential model would be:

[tex] A(t) = 256.0963179 e^{0.06811008317 t}[/tex]

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