Spruce budworm diff.eq,parameter variation using matlab functions

In summary, the conversation discusses a MATLAB code for solving the spruce budworm differential equation. The code uses the ode15s solver to numerically compute the solution for a given time interval and initial condition. The individual would like to solve the equation for a range of parameters, but is having trouble defining the array of matrices for each loop. A possible solution is suggested, where r and q are added to the differential equation and looped through different values. It is also mentioned to check the validity of the equation for the desired parameter ranges.
  • #1
marellasunny
255
3
I have come across a MATLAB code for solving the spruce budworm differential equation.But,I would like to solve the same differential equation for a range of parameters(r=0:5,q=0:10).I am having problems trying to define the array of matrices for each loop.Please look at the code below:% This program solves the differential equation
% du/dt = f(t,u) = ru(1-u/q) + u^2/(1 + u^2)

function spruceco

tspan = [0; 100]; %This command defines the time interval of interest.
u0 = [.1];
for q=0:10 %I would like to add these here and then pass the values of q,r to the function f%
for r=0:5

[t,u] = ode15s(@f,tspan,u0)
% This command tells MATLAB to use the differential equation solver called ode15s to numerically compute the solution of the differential equation defined by the function f, for time interval tspan, and initial condition u0. The right-hand side of the equation tells MATLAB to store this output in vectors t (for the time points) and u (for the population density).

figure;
drawnow
plot(t,u(:,1)); %This tells MATLAB to plot the solution.
hold on
end
% --------------------------------------------------------------------------

function dudt = f(t,u) %This commands defines the function du/dt = f(t,u).
q=10;r=2;%I would like to solve the differential equation for q=0:10,r=0:5;How?Procedure?
dudt = [r*u(1)*(1-u(1)/q) - u(1)^2/(1+u(1)^2)]; %This command inputs the left-hand side of the spruce budworm
%differential equtaion.
end
 
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  • #2
I'm not a Matlab user, but I think the technique of adding r and q to the differential equation might work. Essentially, initialize u0 to be a vector with values 0.1 (your current value), r and q. You then define the differential equation f(t,u) to return it's current value as the first element of a 3-vector and 0 for the other 2 elements (r and q being constant throughout each integration). You can then loop through r and q values, something like the following (or however Matlab constructs vectors).

f(t,u) = [u(2).u(1)(1-u(1)/u(3)) + u(3)^2/(1 + u(3)^2) 0 0]

for r = ...
for q = ...
u0 = [0.1 r q]
[t,u] = ode15s(@f,tspan,u0)


The image shows something similar in Mathcad
http://https://www.physicsforums.com/attachment.php?attachmentid=54011&stc=1&d=1355766195
You also might want to check that the equation is valid for your desired r and q ranges ... (eg, what the result if q = 0 ?)
 

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FAQ: Spruce budworm diff.eq,parameter variation using matlab functions

What is the Spruce budworm differential equation?

The Spruce budworm differential equation is a mathematical model used to describe the population dynamics of the insect species Choristoneura fumiferana, commonly known as the spruce budworm. It takes into account factors such as birth and death rates, predation, and environmental conditions to predict the population size of the insect over time.

How is parameter variation used in the Spruce budworm differential equation?

Parameter variation refers to the process of changing the values of certain parameters in the Spruce budworm differential equation to observe how it affects the predicted population size over time. By varying parameters such as birth and death rates, researchers can gain insights into the factors that have the greatest impact on the spruce budworm population.

What is the role of MATLAB functions in studying the Spruce budworm differential equation?

MATLAB functions are commonly used in scientific research to solve complex mathematical equations. In the case of the Spruce budworm differential equation, MATLAB functions can be used to numerically solve the equation and simulate the predicted population size over time. They can also be used to visualize the results and analyze the effects of parameter variation.

What are the potential applications of studying the Spruce budworm differential equation?

Studying the Spruce budworm differential equation can have various applications in the fields of ecology, forestry, and pest management. By understanding the population dynamics of the spruce budworm, researchers can develop strategies to control its population and minimize its impact on forests and other ecosystems.

How can the Spruce budworm differential equation be used in the context of climate change?

Climate change can significantly affect the population dynamics of the spruce budworm. By incorporating climate variables into the Spruce budworm differential equation, researchers can predict how the changing climate may impact the insect population and develop adaptive management strategies to mitigate its effects.

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