Population Growth Differential Equations

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  • #1
MathWarrior
268
5

Homework Statement


A biologist prepares a culture. After 1 day of growth the biologist counts 1000 cells. After 2 days he counts 3000. Assuming a Malthusian model what is the reproduction rate and how many cells were present initially.


Homework Equations



[itex]P(t) = Ce^{rt}[/itex]



The Attempt at a Solution


[itex]P(1) = P(0)e^{r}[/itex]
[itex]1000 = P(0)e^{r}[/itex]

[itex]P(2) = P(0)e^{r2}[/itex]
[itex]3000 = P(0)e^{r2}[/itex]

Not sure how I am suppose to get the rate here... or even start really..
 
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  • #2
That's a good start. It's all algebra now. Try solving for P(0) in both equations and then set them equal to each other.
 
  • #3
MathWarrior said:

Homework Statement


A biologist prepares a culture. After 1 day of growth the biologist counts 1000 cells. After 2 days he counts 3000. Assuming a Malthusian model what is the reproduction rate and how many cells were present initially.


Homework Equations



[itex]P(t) = Ce^{rt}[/itex]



The Attempt at a Solution


[itex]P(1) = P(0)e^{r}[/itex]
[itex]1000 = P(0)e^{r}[/itex]

[itex]P(2) = P(0)e^{r2}[/itex]
[itex]3000 = P(0)e^{r2}[/itex]

Not sure how I am suppose to get the rate here... or even start really..

Maybe your notation is making it hard for you to see what is happening. If you set c = P(0) and x = exp(r), you have c*x= 1000 and c*x^2 = 3000. Surely you can get c and x from these!

RGV
 

What is a population growth differential equation?

A population growth differential equation is a mathematical model used to describe the change in size of a population over time. It takes into account factors such as birth rates, death rates, and immigration rates to predict how a population will grow or decline.

Why are population growth differential equations important?

Population growth differential equations are important because they allow us to understand and predict the growth and decline of populations. This information is crucial for making informed decisions about resource allocation, environmental conservation, and social and economic policies.

What are the different types of population growth differential equations?

There are three main types of population growth differential equations: exponential growth, logistic growth, and the Lotka-Volterra model. Exponential growth occurs when a population grows at a constant rate, while logistic growth takes into account limiting factors such as resources and competition. The Lotka-Volterra model is used to study predator-prey relationships in populations.

How are population growth differential equations solved?

Population growth differential equations can be solved using mathematical techniques such as separation of variables, Euler's method, and analytical solutions. These methods allow us to calculate the population size at different points in time and make predictions about future population growth.

What are some real-world applications of population growth differential equations?

Population growth differential equations have a wide range of real-world applications, including predicting the growth and decline of human populations, studying the spread of diseases, and understanding the dynamics of animal populations. They are also used in economics to analyze the growth of cities, markets, and industries.

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