Help in mathematical modelling phase diagrams

In summary, equilibrium points and their stability can be represented on a phase diagram by plotting the values of x and y and using arrows to indicate the direction of movement from the equilibrium point. A stable equilibrium point will have arrows pointing towards it, while an unstable equilibrium point will have arrows pointing away from it. For specific types of equilibrium points, such as a saddle or a stable focus, the arrows will have a specific pattern to represent their behavior.
  • #1
scooby_r
2
0
Help in mathematical modelling phase diagrams! :(

Mathematical modelling question on predator-prey models
logistic prey-predator model with prey logistic growth

dx/dt= ax - bx^2 -cy
dy/dt= -ey + fxy

ax = growth rate of prey in the absence of predation
-cxy = the death rate per encounter due to predation
-cy = the natural death rate of predators in the absence of prey
fxy = is the prey's contribution to the predator's growth rate


F(x,y) = X (a-bx-cy)=0
G(x,y) = Y (-e+fx)=0


Equilibrium points and stability
E1 (0,0)
λ1 > 0, λ2 > 0


E2 (a/b,0)
λ1 < 0 & λ2 > 0, if fa/b > e (saddle)
λ1 < 0 & λ2 < 0, if fa/b < e (asymptotically stable node)


E3 [e/f, 1/c(a-be/f) ]
For 1/c(a-be/f) to be +ve , a > be/f exists positively
For a < be/f , then 1/c(a-be/f) doesn't exist

λ = α+iβ
α < 0 , β > 0
E3 can be a stable node or a stable focus.

Hi guys i need help on representing my stability of my equilibrium points on a phase diagram especially for the condition a > be/f and a < be/f to show the prey coexist and predator extinction as i would be using it for my condition. Hope to hear from you guys..thanks!
 
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  • #2


Hello,

Thank you for reaching out for help with your mathematical modelling question. I would be happy to assist you with representing the stability of your equilibrium points on a phase diagram.

First, let's review what equilibrium points and stability mean in this context. An equilibrium point is a point at which the values of both prey (x) and predators (y) do not change over time. This means that the population sizes of both species remain constant at this point. Stability refers to the behavior of the system around the equilibrium point. A stable equilibrium point means that if the system is disturbed from this point, it will return to it over time. An unstable equilibrium point means that if the system is disturbed, it will move further away from this point.

Now, to represent these equilibrium points and their stability on a phase diagram, we can plot the values of x and y on the x-axis and y-axis, respectively. The equilibrium points can be marked as points on this graph. For example, E1 (0,0) would be represented as the origin point (0,0) on the graph.

To show the stability of these points, we can use arrows or vectors. These arrows will indicate the direction in which the system will move if it is disturbed from the equilibrium point. For a stable equilibrium point, the arrows will point towards the point, showing that the system will return to it. For an unstable equilibrium point, the arrows will point away from the point, indicating that the system will move further away from it.

In your case, for the equilibrium point E2, you mentioned that it can either be a saddle or an asymptotically stable node. For a saddle, the arrows will point in different directions, showing that the system can move away from this point in multiple directions. For an asymptotically stable node, the arrows will all point towards the point, indicating that the system will return to it over time.

For the equilibrium point E3, you mentioned that it can be a stable node or a stable focus. For a stable node, the arrows will point towards the point, as the system will return to it. For a stable focus, the arrows will form a spiral pattern, indicating that the system will oscillate around the point before returning to it.

I hope this helps in representing the stability of your equilibrium points on a phase diagram. If you have any further questions, please don't hesitate to ask. Good luck with your modelling!
 

Related to Help in mathematical modelling phase diagrams

1. What is mathematical modelling?

Mathematical modelling is the process of using mathematical equations and algorithms to represent and analyze real-world systems or phenomena. It involves creating a simplified mathematical representation of a complex system in order to gain a better understanding of its behavior and make predictions.

2. What is a phase diagram?

A phase diagram is a graphical representation of the different phases or states of matter that a substance can exist in, such as solid, liquid, and gas. It shows the relationship between temperature, pressure, and composition of a system and how these factors affect the phase transitions of the substance.

3. Why is mathematical modelling important in phase diagram analysis?

Mathematical modelling allows for a more precise and quantitative analysis of phase diagrams, as it can accurately predict the behavior of a system under different conditions. It also provides a way to visualize and understand complex phase relationships that may not be easily observed through experimental methods.

4. What are the key steps in mathematical modelling of phase diagrams?

The key steps in mathematical modelling of phase diagrams include identifying the variables and parameters that affect the system, formulating appropriate mathematical equations to represent the system, and solving these equations using numerical or analytical methods. It also involves validating the model by comparing its predictions with experimental data.

5. What are some common challenges in mathematical modelling of phase diagrams?

Some common challenges in mathematical modelling of phase diagrams include choosing the most appropriate mathematical approach for a specific system, accurately determining the parameters and variables to include in the model, and dealing with complex interactions between different phases and components. Additionally, obtaining experimental data for validation can also be a challenge in some cases.

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