Lotka-Volterra Equation Assistance

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In summary: BTW, the real problem with Euler's method is that it's a first order method. That means the error is proportional to the time step. So, say you want to compute the trajectory of a projectile. You'd have to choose a very small time step or the error would be enormous. That's why there are higher order methods to solve IVP's. Some don't have this problem (they're called "symplectic") but they're not first order. IIRC, the "Verlet" algorithm is one of these methods. It is second order. Still, you have to choose the step properly or the error will be too great.But, as I said, the real
  • #1
Modulus85
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Homework Statement


I'm working a problem that involves a predator-prey relationship scenario. There will be a total of 600 "steps" and I need to calculate the population count for each step.

At this point, I'm just trying to calculate the prey population count for step one.

It's been a long time since I had much math practice and I am confused/frustrated.

a = 0.165
b = 0.0006
x = 250 (prey count)
y = 10

Homework Equations


dx/dt = ax - bxy


The Attempt at a Solution


My attempt was to just plug in numbers for the right hand side of the equation, like so:
dx/dt = (0.165 * 250) - (0.0006 * 250 * 10). I came up with 39.75, but considering the count started at 250, 39.75 seems very wrong.

I believe dx/dt is change in population over change time, however I am not sure what to do with that part of the equation.

Any help would be appreciated.
 
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  • #2
You are leaving a great deal unsaid but I think you mean that you are to use Euler's numerical method to solve the equation. Unfortunately, you don't seem to have any idea what that method is! And you don't appear to know preciselywhat the question is. In Euler's method, we approximate the differential "dt" by some small time step so that we can write dx/dt= f(x,t) as dx= f(x,t)dt. If you are to use "600 steps" to go from t= 0 to t= T, the dt= T/600- but you don't give any final time for the "T" value.

Also, if you are going to have a "predator-prey" problem, you will need both a "predator" and a "prey"! Your equation for dx/dt has both x and y in it but you have no equation for dy/dx.
 
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  • #3
May I add something guys?

Modulus, I agree with everything Hall said. Now, how do we resolve this problem and I don't mean the DE? Well, you've got to step back from this and solve numerically, a simple single DE equation first. Say:

[tex]\frac{dy}{dt}=2y-1,\quad y(0)=1[/tex]

That's right out of "Differential Equations" by Blanchard, Devaney, and Hall and they solve it numerically via Euler. Get it straight first with just one equation then try and move up to using Euler for a system say:

[tex]\frac{dx}{dt}=2x-xy[/tex]
[tex]\frac{dy}{dt}=-y+xy[/tex]

That one is solved numerically in the text too. So worst-case scenario: get that text and study what they did.
 
  • #4
I think Modulus85's problem is simpler than everyone is making it out. Modulus: It appears you are confusing dx/dt (the CHANGE) with the resulting population total. Your calculation is correct, and it's as simple as that, however, the equation is for the CHANGE in population, not the population itself. Simply add dx/dt to the the initial population to get the current population (i.e., 39.75+250 = 289.75, which would obviously round down to 289).
 
  • #5
It certainly is NOT "that simple" as long as half the problem is not given. We are given that dx/dt depends on y but have not equation telling how y changes. The "Lotke- Volterra" stystem must have two equations.
 
  • #6
You are correct that two equations are needed and the problem is not simple IF the calculation was to go 600 steps. However, the OP is only trying to get the calculation correct for step "one." Since the initial y value is given, you don't need dy/dt to solve step one for dx/dt. You just plug in the values. You will obviously need the other equation to go any further, which I'm sure he can easily figure out how to solve dy/dt now that he knows how to correctly solve dx/dt.
 
  • #7
You do need a [itex]\Delta t[/itex] though to compute the value of x after step one as it's given by the expression:

[tex]x_{k+1}=x_k+(a x_k-b x_k y_k)\Delta t[/tex]

so say the time step is one, then:

[tex]x_{1}=x_0+(a x_0-b x_0 y_0)=250+(0.165 250-0.0006 250 10)=289.75[/tex]

Now, if I had the equation for dy/dt, I could compute [itex]y_1[/itex]. Get that one, then I can compute [itex]x_2[/itex] and [itex]y_2[/itex] and so forth.

Frankly though I think me and Hall ran him off. I was just tryin' to help.
 

FAQ: Lotka-Volterra Equation Assistance

What is the Lotka-Volterra equation and what is it used for?

The Lotka-Volterra equation, also known as the predator-prey equation, is a mathematical model that describes the population dynamics of two species that interact with each other, one as a predator and the other as its prey. It is used to understand and predict the changes in population sizes of these two species over time.

What are the assumptions made in the Lotka-Volterra equation?

The Lotka-Volterra equation assumes that the predator and prey populations are the only factors affecting each other's growth, that the environment remains constant, and that the populations are in a closed system with no immigration or emigration.

How is the Lotka-Volterra equation solved?

The Lotka-Volterra equation can be solved analytically or numerically. Analytical solutions involve using calculus to find the exact solution, while numerical solutions use computer algorithms to approximate the solution. The most commonly used method for solving the equation is the Runge-Kutta method.

What are the limitations of the Lotka-Volterra equation?

The Lotka-Volterra equation is a simplified model and does not account for many real-world factors such as competition, disease, and environmental changes. It also assumes that the populations grow and interact in a continuous and predictable manner, which may not always be the case.

How is the Lotka-Volterra equation applied in real-world situations?

The Lotka-Volterra equation has been applied in various fields such as ecology, economics, and epidemiology to study the dynamics of interacting populations. It can also be used to predict the effects of introducing a new species into an ecosystem, the impact of hunting on wildlife populations, and the spread of diseases in a population.

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