How Does the Alligator Population Change Over Time in a Swamp?

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In summary, the conversation discusses solving a differential equation to determine the long-term behavior of an alligator population in a swamp. The equation is dp/dt = 0.0001x^2 - 0.01x and the initial populations of 25 and 150 alligators are discussed. The conversation also mentions using separation of variables and properties of logarithms to solve the equation and find the value of x.
  • #1
saintdick
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This has been posted before but i didn't understand the answer

Suppose the number x(t) (with t in months) of alligators in a swamp satisfies the differential equation

dp/dt = 0.0001x^2 - 0.01x

(a) If there are initially 25 alligators in the swamp, solve this differential equation to determine what happens to the alligator population in the long run.

(b) Repeat for an initial population of 150 alligators."

i am totally clueless about this one?
 
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  • #2
Hey saintdick and welcome to the forums.

From your question it seems that p is actually the same as x(t) [i.e. p = x(t)] from the context of your question.

So basically the model is the same as saying:

dp/dt = 0.0001p^2 - 0.01p.

Using this information, what do you think the next step is?
 
  • #3
Ho chiro,

I used separtion of variable to get: dx/x(x-100)=dt/10000

integrated both side, used PFD for left side:

1/100 ln(x-100)-1/100 ln(x)= 1/10000 *t +c

now what? how do i solve this for x?
 
  • #4
saintdick said:
Ho chiro,

I used separtion of variable to get: dx/x(x-100)=dt/10000

integrated both side, used PFD for left side:

1/100 ln(x-100)-1/100 ln(x)= 1/10000 *t +c

now what? how do i solve this for x?

Yes you need to solve for x by using algebra and properties of logs.

Your integration constant will depend on your initial value which is different for each sub-question.

It may help if you post your final answer if you want someone to check it or if you run into trouble.
 
  • #5


I can provide an explanation for the given differential equation and offer a solution to the problem.

The differential equation given is a model for the population dynamics of alligators in a swamp. It takes into account two factors - the growth rate of the population and the death rate of the population. The growth rate is represented by the term 0.0001x^2, which means that as the population increases, the rate of growth also increases. The death rate is represented by the term -0.01x, which means that as the population increases, the rate of death also increases.

To solve this differential equation, we need to find the function x(t) that satisfies it. This can be done by separating the variables and integrating. The resulting function will give us the population of alligators at any given time t.

(a) If there are initially 25 alligators in the swamp, we can substitute x(0) = 25 into the equation and solve for x(t). This will give us the population of alligators at any time t. In the long run, as t approaches infinity, the population will approach a steady state value, which can be found by setting dp/dt = 0 and solving for x. In this case, the steady state value is x = 1000. This means that in the long run, the alligator population will stabilize at 1000 individuals.

(b) Similarly, if there are initially 150 alligators in the swamp, we can substitute x(0) = 150 into the equation and solve for x(t). In the long run, the population will again approach a steady state value, which is x = 1000. This means that regardless of the initial population, the alligator population will eventually stabilize at 1000 individuals.

In conclusion, the given differential equation predicts that the alligator population in the swamp will reach a stable value of 1000 individuals in the long run, regardless of the initial population. This could be due to factors such as limited resources or competition within the population. Further research and data analysis would be needed to fully understand the dynamics of the alligator population in this swamp.
 

Related to How Does the Alligator Population Change Over Time in a Swamp?

1. What is the DFQ problem in population studies?

The DFQ problem, also known as the "demographic fitness quotient" problem, is a theoretical issue in population studies that examines the relationship between fertility and mortality rates. It looks at how these two factors affect the overall fitness and growth of a population.

2. How is the DFQ problem measured?

The DFQ problem is typically measured by calculating the ratio between the total number of births and the total number of deaths in a population. This ratio is then compared to the expected ratio based on the population's age structure and life expectancy.

3. What are the implications of the DFQ problem?

The DFQ problem can have significant implications for population growth and development. A population with a high DFQ may struggle to maintain its size or may experience rapid growth, while a population with a low DFQ may face challenges in sustaining itself.

4. How does the DFQ problem impact policy-making?

The DFQ problem can inform policy-making decisions related to population growth and development. Governments and organizations may use DFQ data to determine appropriate strategies for managing population size, promoting health and well-being, and addressing demographic challenges.

5. Are there any solutions to the DFQ problem?

While there is no one-size-fits-all solution to the DFQ problem, there are various approaches that can be taken to address it. These may include improving access to healthcare, implementing education and family planning programs, and promoting economic development to improve overall well-being and decrease mortality rates.

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