Solve Gompertz Model for Population Growth with Help | TIA

  • Thread starter rroy81
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In summary, the Gompertz model can be used to model population growth using the equation dy/dt = -ryln(y/k), where r = 0.67 per year and K = 36500 kg. To find the predicted value of y(4), one needs to solve the differential equation and use the given values to calculate the final result of 31374 kg. The problem can be solved by recognizing that t does not appear explicitly and that it is a first-order, homogeneous (but nonlinear) equation for y(t).
  • #1
rroy81
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I need help in solving the following solution.
The Gompertz model has been used to model population growth.
dy/dt = -ryln(y/k), where r = 0.67 per year, K = 36500 kg,

Use the Gompertz model to find the predicted value of y(4) .

TIA.
 
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  • #2
What have you tried so far?
 
  • #3
Mute said:
What have you tried so far?

That's just it...I am not to sure how to tackle the problem. I know the answer is 31374 kg.

How do I get is what I need help with.

Thanks!
 
  • #4
Have you tried solving the differential equation? Do you have any ideas about how you might try to solve it? I'll give you a hint: t does not appear explicitly, and it is a first-order, homogeneous (but nonlinear) equation for y(t). Does this give you any ideas?
 
  • #5


Hello,

Thank you for reaching out for assistance with solving the Gompertz model for population growth. This model is commonly used in population biology to describe the growth of a population over time.

To solve the Gompertz model for population growth, we will need to use the given equation: dy/dt = -ryln(y/k), where r = 0.67 per year and K = 36500 kg.

To find the predicted value of y(4), we will substitute t=4 into the equation and solve for y. This will give us the predicted population size after 4 years.

dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500)
dy/dt = -0.67 * y * ln(y/36500
 

1. What is the Gompertz model?

The Gompertz model is a mathematical equation that is used to describe the growth and decline of a population or system over time. It is commonly used in fields such as biology, economics, and demography.

2. How does the Gompertz model work?

The Gompertz model is based on the assumption that the rate of growth or decline of a population decreases exponentially over time. It is described by the equation dN/dt = rNln(K/N), where N is the population size, t is time, r is the growth rate, and K is the carrying capacity. This equation takes into account both the current population size and the maximum capacity of the environment to support that population.

3. What are the main applications of the Gompertz model?

The Gompertz model is commonly used in fields such as population biology, economics, and marketing. It can be used to predict the growth or decline of a population or market over time, and to identify factors that may influence this growth or decline.

4. What are the limitations of the Gompertz model?

Although the Gompertz model is widely used, it has some limitations. It assumes a continuous and constant rate of growth or decline, which may not accurately reflect real-world situations. Additionally, it does not take into account external factors that may influence a population or system, such as environmental changes or interventions.

5. How can the Gompertz model be improved?

There are various ways in which the Gompertz model can be improved. One approach is to incorporate time-varying parameters, which allows for a more flexible and realistic representation of population growth. Another approach is to combine the Gompertz model with other models, such as logistic growth, to better capture the complexities of real-world systems. Additionally, incorporating external factors and data can also improve the accuracy of the model's predictions.

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