As an extension of the previous model, the so-called Lobtka-Volterra model describes the evolution of two...
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As an extension of the previous model, the so-called Lobtka-Volterra model describes the evolution of two populations: one defined as preys (denoted as x) and the other as predators (denoted as y). For this reason, this is also often called a Predator-Prey model. This model describes the evolution of the two populations as a result of the interactions between them. The mathematical model describing the evolution of the two populations is the following: Jx = ax - bxy t = -cy+pxy at where a, b, c, and p are scalar parameters. In the given form, the system is non-linear. By applying Taylor expansion linearization, the following linear form is obtained: = ax + By + y It = + + It where a, b,y, 8, , 0 are the parameters of the linearization performed at a given point (x, y): a = a - by B = -bx y = bxy 8 = p = px-c 0 = -pxy You need to create a Live Script called "Lobtka_Volterra.mlx" to complete the following tasks: 1. First, evaluate the fundamental form of the corresponding Linear Dynamical System (Hint: This means that you need to obtain an equation of the type X++1 = Atxt + Ct ). 2. Then, perform a simulation of such model for a total of 60 days, using the following data and parameters: a. Initial Prey Population x(t = 0) = 1000 b. Initial Predator Population y(t = 0) = 100 c. Value of the parameters a = 0.5, b = 0.001, c = 0.35, p d. Time increment for the simulations dt = 0.001 [days] - 0.0005 3. Plot the resulting population distributions, and briefly describe the obtained results. As an extension of the previous model, the so-called Lobtka-Volterra model describes the evolution of two populations: one defined as preys (denoted as x) and the other as predators (denoted as y). For this reason, this is also often called a Predator-Prey model. This model describes the evolution of the two populations as a result of the interactions between them. The mathematical model describing the evolution of the two populations is the following: Jx = ax - bxy t = -cy+pxy at where a, b, c, and p are scalar parameters. In the given form, the system is non-linear. By applying Taylor expansion linearization, the following linear form is obtained: = ax + By + y It = + + It where a, b,y, 8, , 0 are the parameters of the linearization performed at a given point (x, y): a = a - by B = -bx y = bxy 8 = p = px-c 0 = -pxy You need to create a Live Script called "Lobtka_Volterra.mlx" to complete the following tasks: 1. First, evaluate the fundamental form of the corresponding Linear Dynamical System (Hint: This means that you need to obtain an equation of the type X++1 = Atxt + Ct ). 2. Then, perform a simulation of such model for a total of 60 days, using the following data and parameters: a. Initial Prey Population x(t = 0) = 1000 b. Initial Predator Population y(t = 0) = 100 c. Value of the parameters a = 0.5, b = 0.001, c = 0.35, p d. Time increment for the simulations dt = 0.001 [days] - 0.0005 3. Plot the resulting population distributions, and briefly describe the obtained results.
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Essentials Of Business Research Methods
ISBN: 9780367196189
4th Edition
Authors: Joe F. Hair, Michael Page, Niek Brunsveld
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