Cubic Population Model with steady states

In summary, the cubic population model has three steady states at N=0, N=k, and N=1. Depending on the initial population, N_0, the future of the population can be described as moving towards 0, 1, or k. If N<0, the population moves towards 0. If 0<N<k, the population moves towards 0, with 0 being a stable equilibrium. If k<N<1, the population moves towards 1, with k being an unstable equilibrium. If N>1, the population moves towards 1, with 1 being a stable equilibrium.
  • #1
sid9221
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Cubic Population Model with steady states !

I am unsure as what this question means:

Consider the cubic population model: dN/dt = cN(N-k)(1-N) where c>0 and 0<k<1

If the the initial populations is N_0 describe without proof the future of the population, distinguish the various cases on the size of N_0 relative to the steady states N_1, N_2 and N_3.


Now I have found and classified the 3 steady states. But am not sure how to proceed. Solving the equation does not seem to be feasible so what do I do ?
 
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  • #2


I presume you have determined that the steady states are N=0, N= k, and N= 1.

Now, look at what happens between those values.

We can write the equation as dN/dt= (-1)(N- 0)(N- k)(N- 1).

If N< 0, all three of those factors are negative. dN/dt is the product of 4 negative numbers so dN/dt is positive. N moves toward 0.

If 0< N< k, N-0 is positive while the other two factors are still negative. dN/dt is the product of one positive and three negative numbers so dN/dt is negative. N moves down toward 0 (N= 0 is a "stable" equilibrium).

If k< N< 1, both N- 0 and N- k are positive while N-1 is still positive. dN/dt is the product of two positive and two negative numbers so dN/dt is positive. N moves away from k toward 1. (k is an "unstable equilibrium".)

Finally, if N> 1, all terms, except that original (-1), are positive so dN/dt is the product of three positive and one negative term. N moves down toward 1. (1 is a "stable equilibrium".)
 
  • #3


HallsofIvy said:
If N< 0, all three of those factors are negative. dN/dt is the product of 4 negative numbers so dN/dt is positive. N moves towards 0.

You mean towards 1 right ? positive = unstable ?
 

Related to Cubic Population Model with steady states

What is the Cubic Population Model with steady states?

The Cubic Population Model with steady states is a mathematical model used to predict the population growth of a species over time. It assumes that the population growth rate is proportional to the size of the population and is limited by carrying capacity.

What are the key assumptions of the Cubic Population Model with steady states?

The key assumptions of the Cubic Population Model with steady states are that the population growth rate is proportional to the current population size, there is a maximum carrying capacity for the population, and there are no external factors affecting the population growth.

How is the Cubic Population Model with steady states different from other population models?

The Cubic Population Model with steady states is different from other population models, such as the exponential growth model or logistic growth model, because it takes into account the carrying capacity of the environment. This means that as the population approaches the carrying capacity, the growth rate slows down and eventually reaches a steady state.

What is the significance of steady states in the Cubic Population Model?

The steady state in the Cubic Population Model represents the maximum population size that can be sustained in a given environment. It is an important concept because it helps us understand how populations interact with their environment and how they reach a balance between growth and limitation.

How can the Cubic Population Model with steady states be applied in real life situations?

The Cubic Population Model with steady states can be applied in real life situations, such as predicting the growth of animal populations in a particular habitat or determining the carrying capacity of a certain area for a specific species. It can also be used to study the effects of human activities on the environment and how they may impact population growth. Additionally, this model can be used to inform conservation efforts and manage resources sustainably.

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